Thursday, August 31, 2017

August - Industrial Engineering Knowledge Revision Plan

Revision of Process Industrial Engineering - Methods, Techniques and Tools

In this month's revision plan the focus is on production process improvement which also includes many engineering processes related to production and maintenance of engineering goods and services.

Management of processes are also analyzed and redesigned by industrial engineers. If management processes, activities and policies are responsible for poor productivity, industrial engineers have to propose changes in management methods, practices and tools to improve productivity. This aspect of industrial engineering is discussed under the area - productivity management.

Process Industrial Engineering - Process Efficiency/Productivity Improvement - Process Cost Reduction

First Week

1 August to 5 August

     Process Industrial Engineering
     Machine Tool Improvement and Cutting Time Reduction

     Operation Analysis - Methods Efficiency Engineering
     Operation Analysis Sheet

    Using the Operation Analysis Sheet
    Analysis of Purpose of Operation

    Analysis of All Operations of a Process as a Step of Each Operation Analysis
    Analysis of Tolerances and Inspection Standards

    Analysis of Material in Operation Analysis
    Tool Related Operation Analysis

Second Week

8 August to 12 August

    Material Handling Analysis in Operations
    Operation Analysis of Setups

    Operation Analysis - Man and Machine Activity Charts
    Operation Analysis - Plant Layout Analysis

    Operation Analysis - Analysis of Working Conditions and Method
    Operation Analysis - Common Possibilities for Operation Improvement

    Operation Analysis - Check List
    Method Study

   Principles of Methods Efficiency Engineering
   Method Study - Information Collection and Recording - Chapter Contents

Third Week

15 August to 19 August

Process Analysis - Questions/Check List
Installing Proposed Methods

Eliminate, Combine, Rearrange, Simplify - ECRS Method - Barnes
Process and Productivity Improvement Through Smart Machines and Smart Factories

Process and Productivity Improvement through incorporating Data Analytics
Plant Layout Analysis

Flow Process Charts - Reinterpretation of Its Purpose and Utility
Industrial Engineering of Flow Production Lines - Thought Before Taiichi Ohno and Shigeo Shingo


Fourth Week

22 August to 26 August

Industrial Engineering - Foundation of Toyota Production System
Toyota Production System Industrial Engineering - Shigeo Shingo

Introducing and Implementing the Toyota Production System - Shiego Shingo
Seven Waste Model and Its Extensions

Industrial Engineering of Maintenance Processes
Manufacturing System Losses Idenfied in TPM Literature

Industrial Engineering of Inspection Processes
Industrial Engineering of Material Handling Processes

Zero Defect Movement and Six Sigma Method
Process Cost Analysis - Cost Center Statement Analysis

One Year Industrial Engineering Knowledge Revision Plan

January - February - March - April - May - June

July - August - September - October - November - December

Updated  30 July 2017,  28 July 2016, 19 April 2015, 17 July 2014

Tuesday, August 29, 2017

Operation Analysis - Methods Efficiency Engineering

Operation Analysis and Method Study are the two popular methods in Process Industrial Engineering. Japanese industrial engineering improvements brought out new techniques like SMED, Poka Yoke, 5S and Seven Waste model etc.

The term 'Operations Analysis" was used by James Anderson in his book on Industrial Engineering published in 1928. He said operation analysis is the short form for long form "Job Standardization, Motion Study and Time Study." H.B. Maynard has authored a full book on operation analysis. The job standardization implies what Taylor did with machine tools before he undertook study of operator's activities and movements.

The First Step

The first step in the study of any process/job is to make a thorough analysis by resolving it into its component parts or elements. Each part or element may then be considered separately, and the study of the process thus becomes a series of fairly simple problems.

A process consists of operations. In process analysis, each operation is examined to rationalize it for doing it as well as doing it at that step in the sequence of operations.  Eliminate, combine, and rearrange (ECR) analysis is done for each operation of the process. In a way, it is an examination of the division of a process into operations to improve the efficiency of the process.

During primary analysis of an operation, the operation is broken down into such general factors as material, inspection requirements, equipment & tools, man  and working conditions. Each one of these factors is then examined minutely and critically in order to discover possibilities for improvement. This kind of analytical work of the operation is covered by the term " operation analysis."

For examining the factors that go into an operation, more detailed methods are available. Motion study, for example,  is 'focused on the method of the operator.

Approach to Operation Analysis

To conduct analysis work successfully, a distinctive mental attitude must be developed. .  In order to improve an operation, it must be approached with the idea that it can be improved. Otherwise, progress is not made in the improvement effort. During the training for operation analysis, number of examples of operation analysis and consequent improvement of the operations have to be given to develop favorable attitude in operation analysts and its team members.

If a job has previously been carefully studied, the best method may conceivably have been devised, and no further improvement may be possible, immediately. Experience has shown, however, that there are few established methods which cannot be improved at a later point in time. In, this connection, the history of a certain bench operation furnishes an excellent and by no means uncommon illustration of this point (Maynard). The job originally was done on daywork, and past production records showed that the time taken per part was 0.0140 hour, or slightly less than 1 minute. The job was time-studied and put on an incentive basis with an allowance of 0.0082 hour. The operator worked made a fair bonus on this job, and the feeling existed for some tune that the proper method was being followed.

After the operation had been set up for 6 months, however, a suggestion for improvement was advanced say by the foreman. The suggestion was not based upon systematic analysis but rather was the result of inspiration. The suggestion was put into effect;  the job was restudied, an allowance of 0.0062 hour was set. This last method was followed for 6 months more, when another suggestion, also of the inspirational type, was advanced. It was adopted, and a new time value of 0.0044 hour was established.

The job was a prominent one, and the improvements attracted considerable attention. The job was selected for detailed motion study. A completely new method was devised which followed the principles of correct motion practices. The new method was time-studied and standard time of 0.0013 hour was set.

The operation was thus improved to an extent where the time required was only approximately one-eleventh of that taken at first on the old daywork basis.   An improvement of such great magnitude justifies the statement that the latest method is a very good method; but in view of the past history of the job, it would be unwise to say that the best method has been attained.

As the result of many similar experiences, methods engineers are using the terms  "the best method yet devised"  implying recognition of the fact that further improvement may be possible (Even Gilbreth stressed this point). Carrying this thought to a logical conclusion, the .best method of doing an operation from a labor-economy standpoint is reached only when the man-machine time required has been reduced to zero. Until this point has been reached, further improvement is always possible.

This example  furnishes a foundation for the approach to operation analysis. If it is clearly recognized, it insures an open mind. Such mental obstacles as "it won't work' "it can't be done" and "it was tried before and didn't work"  are cleared away at the outset. Lack of success in improving any job is not interpreted to mean that the job cannot be improved, but rather that no way of improving it has yet been discovered. There is a vast difference in the two interpretations. The first induces contentment with things as they are and leads to stagnation; the second inspires further attacks from different angles and leads to progress.

The Questioning Attitude.

An open mind paves the way for successful analytical work, but it is not sufficient in itself. One can be open-minded in the passive sense of being receptive to suggestions, but this will not lead to accomplishment. The analyst must take the initiative in originating suggestions himself if he wishes to get results.

Other things being equal, the greatest amount of originality, or what passes for originality in a world where it is often said that there is nothing new, is evinced by those who have an inquiring turn of mind. The man who constantly asks questions and takes nothing for granted is often a disturbance to the contentment of those who are willing to accept things as they are, but he is the one who originates new things. Improvements come from first examining what is with an open mind and then inquiring into what might be.

This point should be clearly understood, and what is known as the " questioning attitude" should conscientiously be developed. In making an investigation of a job, nothing should be taken for granted, and everything should be questioned. Then the answers should be determined on the basis of facts, and the influence of emotions, likes and dislikes, or preconceived prejudices should be guarded against.

One who is successful in bringing about improvements in operating methods has few deep-seated convictions. He accepts little or nothing as being right because it exists. Instead, he asks questions and gathers answers which he evaluates in the light of his knowledge and experience. He questions methods, tools, and layouts. He investigates all phases of every job he studies, in so far, at least, as he has time. He even asks questions when the answers appear obvious, if he thinks he can bring out something by so doing.

The questions asked take the general form of "what," "why," "how," "who," "where," and "when. " What is the operation? Why is it performed? How is it done? Who does it? Where is it done? When is it done in relation to other operations? These questions, in one form or another, should be asked about every factor connected with the job being analyzed. Typical questions that arise during the study of industrial operations are as follows:

If more than one operator is working on the same job, are all operators using the same method? If not, why not? Is the operator comfortable? Sitting down as much as possible? Has the stool or chair being used a comfortable back and a seat that is wide enough? Is the lighting good? Is the temperature of the work station right? Are there no drafts? Are there arm-rests for the operator? If the operation can be done either seated or standing, is the height of the chair such that the elbows of the operator are the same distance from the floor in either case?

Can a fixture be used? Are the position and height of the fixture correct? Is the fixture the best available? Is the fixture designed in accordance with the principles of motion economy? Would a fixture holding more than one piece be better than one holding a single piece? Can the same fixture be used for more than one operation? Can a clamp, a vise, or a fixture be substituted for the human hand for holding? Are semiautomatic tools such as ratchet or power-driven wrenches or screw drivers applicable?

Is the operator using both hands all the time? If so, are the operations symmetrical? Do the hands move simultaneously in opposite directions? Can two pieces be handled at one time to better advantage than one? Can a foot device be arranged so that an operation now performed by hand can be done by foot?

Are raw materials properly placed? Are there racks for pans of material and containers for smaller parts? Can the parts be secured without searching and selecting? Are the most frequently used parts placed in the most convenient location? Are the handling methods and equipment satisfactory? Would a roller or a belt conveyer facilitate handling? Can the parts be placed aside by means of a chute?

Is the design of the apparatus the best from the viewpoint of manufacturing economy? Can the design be changed to facilitate machining or assembly without affecting the quality of the apparatus? Are tools designed so as to insure minimum manipulation time? Can eccentric clamps or ejectors be used?

Is the job on the proper machine? Are the correct feeds and speeds being used? Are the specified tolerances correct for the use to which the part is to be put? Is the material the most economical for the job? Can the operator run more than one machine or perform another operation while the machine is making a cut? Would a bench of special design be bettor than a standard bench? Is the work area properly laid out?

This list of questions could be extended almost indefinitely, but enough have been given to illustrate the sort of questions that should be asked during a methods efficiency study. The importance of asking such questions is paramount. The chief difference between a successful analyst and one who seldom accomplishes
much is that the former has developed the questioning attitude to a high degree. The latter may be capable of making the same improvements as the former, but they do not occur to him as possibilities because he accepts things as they are instead of questioning them.

Operation Analysis Need Not Be Confined to Methods Engineers. Although the questioning attitude is developed by the methods engineer as an aid to thorough analysis, it need not be and should not be solely his property. The other shop supervisors will find it equally useful for attacking their particular problems and finding solutions for them. If they focus it on operating methods, they will be able to make many improvements in the course of their daily work. Thus, methods-improvement work will progress more rapidly than it would if it were left entirely to the methods engineer.

If a plant is small and has insufficient activity to justify employing anyone in the capacity of methods engineer, it will be particularly desirable for all members of the supervisory force to develop the questioning attitude. It is extremely easy to view things without seeing them when they are supposedly familiar. Those most familiar with the work are the least likely to see opportunities for improvement, unless they consciously try to remain as aware of their surroundings as they would be were they new to the plant. Where the supervisory group does not change often, the cultivation of the questioning attitude is almost essential to progress.

Questions should not be asked at random, although this would be better than asking no questions at all. Rather, it is better to proceed systematically, questioning points in the order in which they should be acted upon. It would be unwise, for example, to question the tools, setup, and method used on a certain job before the purpose of the operation was considered. Better tools might be devised, and the method might be changed ; but if it were later found upon examination of the purpose of the operation that it need not be done at all, the time and money spent on tool and methods changes would be wasted.

The systematic job analysis will be discussed in this knol book in sufficient detail to give a thorough understanding.

Making Suggestions for Improvement. 

When a job is examined in all its details with an open mind and when all factors that are related to it are questioned, possibilities for improvement are almost certain to be uncovered if the job has not been studied in this way before. The action that is taken upon the possibilities will depend upon the position of the one who uncovers them. If he has the authority to take action and approve expenditures, he will undoubtedly go ahead and make the improvements without further preliminaries. If, however, he does not have that authority, he must present his ideas in the form of suggestions to the one who does.

In the first place, the true worth of each suggestion should be carefully evaluated before it is offered. If he establishes a reputation for offering only suggestions of real merit, one will find it easier to secure an attentive hearing than if he is continually advancing suggestions that have to be examined to separate the good from the impractical.

The quickest way to prove the merit of any suggestion is to make or obtain estimates of the cost of adopting it and of the total yearly saving it may be expected to effect. These two figures will show just how much must be spent and how long it will be before the expenditure will be returned. If a suggestion costs $1,000 to adopt and will save $100 per year, it is not worth presenting unless there are unusual circumstances. If, on the other hand, the expenditure will be returned within a reasonable length of time, the suggestion is worthy of careful consideration.

When it has been definitely decided that the suggestion is sound and valuable, it should be presented to the proper authorities for approval. Here, again, estimates of expenditure and return will prove valuable. The statement that much time will be saved or even that a saving of 0.0050 hour per piece can be made is not likely to mean so much as figures showing a saving of a certain number of dollars per year. A complete presentation which includes cost and savings totals will be appreciated, for if they are not furnished, they must be requested anyway, and this will only postpone final action.

An example of a good presentation of a labor-saving idea is as follows :

Works Manager:

By analyzing the cork-tube winding operation in the Cork Department, it has been found that one-third of the winder's time is spent in doing work requiring a high degree of skill and the remaining two-thirds in doing work that could be satisfactorily performed by unskilled labor.

The time consumed by the portion of the cycle that requires high skill is almost exactly one-half of that required for the balance. Therefore, it will be entirely feasible to place four winding machines in a group, using one skilled man with two unskilled helpers to run them. In this manner, the average production of three skilled workers running three machines will be obtained at a greatly reduced cost.

Under the proposed setup, the skilled worker will apply the cork to the cloth core which has been set up by one helper and will then move to another machine which the other helper has set up. Each helper will tie the ends of a finished cork-covered tube, will remove the tube, and will set up another while the skilled man is busy at other machines.

The skilled man receives 60 cents per hour and the unskilled men 40 cents per hour each. The labor cost per tube will therefore be approximately 0.76 cent as compared with the present cost of 1 cent each.

On the basis of present activities, this will amount to a yearly saving of $2,361.55. There will be a certain amount of idle machine time under the proposed arrangement; but since we have more machine equipment than we require for our present volume of business, this need not be considered.

This matter has been discussed with the foreman,  and he believes that the arrangement will work satisfactorily. In order to proceed with the proposed change, it will be necessary to relocate 12 machines.  Maintenance Department estimates that this can be done for a cost of $480.

In view of the savings that can be made, the suggestion is recommended for acceptance by you


In this report, enough details are given to explain the general nature of the suggestion. The total yearly saving of $2,361.55 is shown, as also are the cost of adopting the suggestion and the source of the estimate. The fact that the suggestion meets with the approval of the foreman of the department, always a most important point, is also clearly stated. As a result, all questions that are likely to arise in the mind of the manager are answered in advance, and there is a good likelihood that he will give immediate approval.

Occasionally, ideas occur which appear to possess advantages to the originator other than those which can be measured in dollars and cents. In presenting suggestions of this nature, advantages and disadvantages should be presented in tabulated form, so that a decision can be quickly made.

Source: Maynard's Operation Analysis

Full Knol Book - Method Study: Methods Efficiency Engineering - Knol Book
Next Article on the Topic - Scope and Limitations of Methods Efficiency Engineering

Process analysis is an examination of the division of a process into operations to improve the efficiency of the process. Process analysis examines the sequence of steps specified to convert inputs into outputs.

Process analysis now is extended to analyzing the process in other dimensions.

Journal of Intelligent Manufacturing
October 2006, Volume 17, Issue 5, pp 571-583
Evaluation of techniques for manufacturing process analysis
J. C. Hernandez-Matias, A. Vizan, A. Hidalgo, J. Rios

Updated 30 July 2017,  28 June 2015
First posted 16 Feb 2014

Tuesday, August 22, 2017

Data Analytics Period in Productivity Improvement - Productivity Engineering and Management


The wave of productivity driven by data and analytics - McKinsey senior partners

"You had the wave of lean, you had the wave of outsourcing, and now we’re seeing the wave of productivity driven by data and analytics, enabling organizations to refine the way that people work together, the way that processes perform, and the way assets are productive. If you think about an oil well, for example, you’ve got more than 300 sensors downhole that are spewing out data at the rate of about a gigabit a second, in some cases." - Bill Wiseman, McKinsey senior partner

How advanced analytics can drive productivity
Podcast August 2016
Podcast transcript

How Data Analytics Increases Productivity?

Technology and innovation drive productivity.  But transaction costs of new technology implementation are considerable.  Innovation requires capital and labor investment incurring transaction costs to build infrastructure and grow the market.

Analytics and decision science could provide the means to reduce the transaction costs and increase innovations to  improve productivity in the economy.

Analytics provide a process to monitor, measure, and benchmark performance. By integrating diverse datasets from remote monitoring (IoT), measuring, and benchmarking can be accomplished automatically and economically. Reporting by anomaly and exception could free resources and thereby reduce costs and improve productivity.

Application of analytics to monitoring energy through sensors resulted in 17% reduction in energy costs for the NJ DOT main office complex. In another application, propensity models were constructed from customer profile and behavior data to identify candidates with highest conversion rates for sending sales promotion communications. Such examples are now many, to illustrate applying analytics to reduce costs and improve operations.

Low cost cloud computing together with large, diverse, and growing datasets, from the web to internal sources, and available statistical visualization tools, have dramatically changed the cost of data analytics. The low cost of data analytics is allowing more companies to use analytics and improve the productivity.

Source: Onoly Analytics and Analytics 2 Insight - White Paper
Analytics at the Speed of Insight: Simple, Fast and Actionable Tools to Improve Productivity


Further Developments


Ops 4.0: Fueling the next 20 percent productivity rise with digital analytics
By Mercedes Goenaga, Philipp Radtke, Kevin Speicher, and Rafael Westinner
Article April 2017

Be agile, Be focused on results and Take up manageable data analytics projects

Digital transformation-driven productivity
Don't underestimate the incredible power of DX turned inward, toward enhancing internal organizational productivity.

Digital Transformation Can Resolve the Productivity Paradox
EITN MALAYSIA, April 27, 2017
By Hu Yoshida, Chief Technology Officer, Hitachi Data Systems

How digital transformation improves productivity in manufacturing
By Alex Walker and Arnd Simon, Senior Directors, Industry Services, Global Manufacturing Practice, Microsoft Corporation; Contributor: Dr. Lei Liu, Digital Advisor, Microsoft Deutschland GmbH on May 5, 2017

Increasing Chemical Industry Productivity through Digital Transformation

May 12, 2017 | Showcase
Learn how Capgemini's ChemPath SAP – Certified Business All-in-One (BAIO) solution, will help your organization streamline and synchronize the operations, while achieving greater visibility and control over your core business processes.

IoT use cases with 2 year pay back period in global auto company mentioned.

Microsoft Workplace Analytics helps managers understand worker productivity



November 2016

Smart data is the way to boost mining productivity

2 September 2016

Improving dragline productivity and increasing reliability using big data

August 2016

Mining operations produce an enormous amount of data through numerous parallel, though diverse, monitoring systems. Data mining and analytics can be a major part of a successful mining improvement process.

In this case, the goal is to find a single target variable and its value that will drive operator behaviour to operate the dragline at maximum production capacity and speed while not exceeding machine fatigue.


Production Data Analytics – To identify productivity potentials
Master Thesis - 2015
Department of Product and Production Development


Data Analytics and Continuous Productivity
September 18, 2013

July 2013

Big-data analytics as a productivity tool McKinsey Global Institute

Sectors across the economy can harness the deluge of data generated by transactions, medical and legal records, videos, and social technologies, sensors, cameras, bar codes, and transmitters embedded in the world around us. Advances in computing and analytics can transform this sea of data into insights that create operational efficiencies.

By 2020, the wider adoption of big-data analytics could increase annual GDP in retailing and manufacturing by up to $325 billion.

Additionally as much as $285 billion savings can occur in the cost of health care and government services.


MIT professor Erik Brynjolfsson discusses how companies can increase their productivity by making better use of their data.
by David Talbot  February 16, 2011

MIT professor Erik Brynjolfsson
Book Chapter: Business practices that enhance productivity along with IT investments.

Updated 23 August 2017,  16 August 2017,  10 July 2017,  30 June 2017, 22 June 2017

October - Industrial Engineering Knowledge Revision Plan


Principles of Motion Economy, Motion Study, Ergonomics, Job Evaluation, Wage Incentives

First Week

Principles of Motion Economy
Principles of Motion Economy - More Details - R.M. Barnes

Motion Study - Human Effort Engineering
Variables of Motion Related to the Operator - Description by Frank Gilbreth

The Two-Handed Process Chart for Motion Study

Motion Study - Operation Analysis - Questions
Principles of Human Effort Engineering

Operator Productivity Improvement Using Appropriate Hand Tools
Introduction to Jigs and Fixtures


2nd Week Motion Study

MOTION STUDY - Frank B. Gilbreth - Part 1



MOTION STUDY VARIABLES - Frank B. Gilbreth - Part 2

I. Variables of the Worker.
II. Variables of the Surroundings, Equipment, and Tools
III. Variables of the Motion.


MOTION STUDY VARIABLES - Frank B. Gilbreth - Part 3

MOTION STUDY VARIABLES - Frank B. Gilbreth - Part 4

MOTION STUDY VARIABLES - Frank B. Gilbreth - Part 5

MOTION STUDY VARIABLES - Frank B. Gilbreth - Part 6


3rd Week - Ergonomics

Human Effort - Nature and Effects

Basic Ergonomic Principles

Ergnomic Guidelines for Manual Material Handling


Ibrahim H. Garbie
Department of Mechanical and Industrial Engineering, Sultan Qaboos University[ruhi%2012th%20sept]/word%20format%20papers/REGISTRATION%20PAID%20PAPERS%20FOR%20PROCEEDINGS/pdf/92%2015%20AN%20EXPERIMENTAL%20STUDY%20ON%20ASSEMBLY%20WORKSTATION%20CONSIDERING%20ERGONOMICALLY%20ISSUES.pdf

Fourth Week

Job Evaluation

Pay Reforms

Wage Incentives - Literature Review


One Year Industrial Engineering Knowledge Revision Plan

January - February - March - April - May - June

July - August - September - October - November - December

Updated   23 August 2017,  11 Sep 2016

September - Industrial Engineering Knowledge Revision Plan

September 1st Week

Industrial Engineering Optimization

Mathematical optimization was used by F.W. Taylor. As operations research was developed and more optimization techniques were developed, industrial engineers advocated the use of them in companies to improve productivity, reduce costs, and increase profits. All industrial engineering redesigns are to be optimized and industrial engineers use various optimization techniques to optimize their engineering redesigns to increase productivity.


Operations Research - An Efficiency Improvement Tool for Industrial Engineers

(from the perspective of an industrial engineer)
(From Maynard's Industrial Engineering Handbook, 5th Edition, pp. 11.27-11.44)
Jayant Rajgopal (From Rajgopal's website)


What is mathematical programming?
Examples of Mathematical Programming.


Simplex Method

4.  Transportation Problem

5. Queing Models

September 2nd  Week

8. Simulation

9. An Overview of Optimization Techniques for CNC Milling Machine

10. New Technology and Optimization of Mobile Phone Battery

11. Combustion Optimization in PF Boilers

12. Application of Optimization Techniques in the Power System Control

September Third Week

Industrial Engineering Statistics

F.W. Taylor himself advocated maintaining of records and data for decision making. The other industrial engineering pioneers also promoted record keeping and data analysis. As sampling based  decision making became more robust, industrial engineers promoted it as a productivity improvement initiative and imperative. One of the prominent areas of application is statistical quality control. Now six sigma, a statistics based technique is being promoted by the IE profession.

15.  Basics of Statistics

16.  Statistical Process Control

17. Statistical Quality Control

18. Calculation of Sample Sizes in Work Measurement and Work Sampling  (WorK measurement full chapter - Includes sample size calculation for time study and work sampling)

19. Test of Hypothesis

HYPOTHESIS TESTING FOR THE PROCESS CAPABILITY RATIO - 2002 MS Thesis!etd.send_file%3Faccession%3Dohiou1040054409%26disposition%3Dinline

One More presentation

September Fourth Week

22. Design of Experiments

23. Six Sigma

24. Application of Six Sigma

25. Application of Six Sigma

26. Application of Six Sigma


One Year Industrial Engineering Knowledge Revision Plan

January - February - March - April - May - June

July - August - September - October - November - December

In months after June the articles prescribed have to be modified as a new scheme is started in 2015.

Updated  23 August 2017, 11 September 2016,  30 September 2014

Industrial Engineering - Foundation of Toyota Production System

Toyota Production System or Lean Philosophy

Elimination of Waste
Low Inventory
Low Order to Delivery Period using low cycle time.

Toyota Production System - Lean Tools or Techniques

Poka Yoke
Value stream mapping to find cycle time and processing time.
TIE - Total Industrial Engineering.
TQM – Zero defects
TPM – High OEE
TPMgmt – Annual Planned Cost Reduction

Shigeo Shingo

A Study of Toyota Production System from an Industrial Engineering Viewpoint by Shigeo Shingo

Book published by Productivity Press
Components of Lean System

Shigeo Shingo said
80% of the lean system (TPS) is waste elimination that is industrial engineering,
15% - production management and
5% - kanban (sign board) communications

What is Industrial Engineering?

Industrial Engineering is eliminating Muda, Muri and Mura (Japanese explanation).

IE is developing science that explains productivity (Productivity Science development)

IE is improving technical processes  for cost reduction (Machines and Men) (Fundamental - Productivity Engineering).

IE is improving management processes of planning, organizing, resourcing, executing (accepting and releasing orders, leading, directing, communicating) and controlling (associated activity - Productivity Management).

IE is improving business processes (Augmented).

For some more details visit:  Functions of Industrial Engineering

In Preface to the Japanese Edition

Shigeo Shingo had written that management consultants were not allowed to disclose any confidential or proprietary information. Taiichi Ohno authored two books describing Toyota Production System (TPS).  That allowed Shigeo Shingo, to use the published material as the basis to explain industrial engineering principles behind TPS.

Shigeo had as his objectives in writing the book:

1. Explaining the principles of the Toyota Production System.
2. Explanation of the system of practicing these principles.
3. Description of the practical application of the methods following these principles.

Chapter 1 Introduction

Production is a network of processes and operations.
Process – transforming material into product is accomplished through a series of operations.
Process – flow of material in time and space.
Process analysis examines the flow of material or product.

In an operation a transformation occurs.
Process analysis questions whether that transformation is required.
Operation Analysis
Operation analysis examines the work performed on products by workers, machines and tools.
Process analysis, operation analysis, motion study and time study form part of methods efficiency engineering.
Process analysis and operation analysis are engineering activities specific to each branch of engineering.

Chapter 2 Improving Process

Improve process before improving individual operations.
Process is flow of material through operations.

Process Chart - Gilbreth

Processing operation
Inspection operation
Transport operation
Storage operation – Temporary, Permanent (Delay operation)

Process Improvement
Process can be improved in two ways.
The first improves the product itself through design efficiency engineering (value engineering, design for manufacture, design for assembly, and design optimization techniques).
The second improves manufacturing method through methods efficiency engineering, motion studies and production optimization and variability reduction methods.

ECR Method of Process Improvement

Eliminate the operation – sometimes it is found to be not necessary or sometimes it is due to improvement of earlier operation.
Combine operations with earlier one or latter one.
Rearrange the sequence of operations

Processing Operations Analysis

Examples in the book
Manufacturing operations can be improved by alternatives related to proper melting or forging temperatures, cutting speeds or tool selection.
Examples related to vacuum molding, plating and plastic resin drying are given in the book.
Eliminating Flashing in Castings (Die)
Flashing in die castings occurs due to escape of air.
Removing the air in mould with a vacuum pump eliminated flashing.
Removing Foam in High-Speed Plating
Spraying or showering the surface to be painted resulted in a 75% reduction.
Drying Plastic Resin
Letting the resin dry a little at a time by allowing it to float to the surface resulted in a 75% reduction of electric power consumption.

Analysis of Inspection Operations

Shingo said normal inspection is judgment inspection.
It separates good and defective items.
Rework done on defective items if possible
Informative inspection asks for process improvement.
It is like medical examination that leads to treatment.
Statistical Process Control
SPC is sampling based informative inspection.
But Shingo says even it is not sufficient to assure zero defects.
To assure zero defects we need to inspect every item but at low cost per item.
Shingo’s Suggestions
Informative Inspections

Self Inspection
Successive Inspection
Enhanced Self Inspection – Inspection enhanced with devices  - poka-yoke

Example 2.4 – Vacuum Cleaner Packing
Cleaner along with attachments and leaflets to be packed.
When a leaflet is taken from the pile,  a limit switch is operated.
When attachments are taken from the container, a limit switch is operated.
Then only, the full package is allowed to be sealed.
The purpose of inspection is prevention of the defect.
Quality can be assured when it is built in at the process and when inspection provides immediate and accurate feedback at the source to prevent the defective item to go further.
Self Inspection
It provides the most immediate feedback to the operator.
He can improve the process and also rework on the item.
Disadvantage inherent.
There is potential for lack of objectivity.
He may accept items that ought to be rejected.
Successive Inspection
The operator inspects the item for any defect in the previous operation before processing it.
Shingo says, when this was introduced defects dropped to 0.016% in Moriguchi Electric Company in television production
Inspection enhanced by Poka Yoke
Human operation and inspection can still make errors unintentionally.
Poka Yoke will take care of such errors.
Ex: Left and right covers are to be made from similar components with a hole in different places.
The press was fitted with a poka yoke which does right cover pressing only when the hole is in proper place.
Source Inspection
This is answering the question: What is the source of the defect in the process/operation?
Two types proposed.
Source Inspection – Vertical, Horizontal
Vertical source inspection traces problems back through the process flow to identify and control conditions external to the operation that affect quality.
Horizontal source inspection identifies and controls conditions within an operation that affect quality.
Poka-yoke Inspection Methods
Poka-yoke achieves 100% inspection through mechanical or physical control.
Poka-yoke can either be used as a control or a warning.
As a control it stops the process so the problem can be corrected.
As a warning, a buzzer or flashing lamp alerts the worker to a problem that is occurring.

Three types of control poka-yoke
Contact method - identify defects by whether or not contact is established between the device and some feature of the product's shape or dimension
Fixed value method - determines whether a given number of movements have been made

Motion step method - determines whether the established steps or motions of a procedure are followed

Choosing/Designing  Poka Yoke
First decide stage of inspection – Self or Successive
Second – Type of regulation
Control or warning.
Third decide Error Sensing type – Contact, fixed number or motion step

Analysis of Transport Operations

Transport within the plant is a cost that does not add value.
Hence real improvement of the process eliminates the transport function as much as possible.
This involves improving the layout of process.

Ex – 7. Transport Improvement
Tokai Iron Works – process layout -  presses, bending machines, embossing
Layout Change: Flow based layout.
A 60 cm wide belt conveyor with ten presses on either side.
WIP reduced. Production time shortened. Delays disappeared.
200% increase in productivity.
Only after opportunities for layout improvement have been exhausted should the unavoidable transport work that remains be improved through mechanization.

Eliminating - Storage Operations (Delay)

Process Delay – Permanent storage – Whole lot is waiting
Lot Delays – Temporary storage – One item is being processed. Other items in the lot waiting.
Another classification is storage on the factory floor and storage in a controlled store.
Eliminating - Storage Operations (Delay)
There are three types of accumulations between processes:

E storage - resulting from unbalanced flow between processes  (engineering)
C storage - buffer or cushion stock to avoid delay in subsequent processes due to machine breakdowns or rejects (control)
S storage - safety stock; overproduction beyond what is required for current control purposes

Eliminating E-Storage

E-storage is due to engineering/planning/design of the production-distribution  system
This can be eliminated through leveling quantities, which refers to balancing flow between high and low capacity processes and synchronization.

Leveling would mean running high-capacity machines at less than 100% capacity, in order to match flow with lower capacity machines that are already running at 100% on short interval basis.
At Toyota, the quantity to be produced is determined solely by order requirements (Takt time).

Presence of high capacity machines should not be used to justify large lot processing and resulting inventory.
Process capacity should serve customer requirements/production requirements and should not determine them
The lots especially one piece lot is processed without delay in a flow.
It is efficient production scheduling that ensures that once quantities are leveled (output is matched), inventories do not pile at any stage due to scheduling conflicts.
Synchronize the entire process flow.

Eliminating C storage - Cushion

Cushion stocks compensate for:
machine breakdowns,
defective products,
downtime for tool and die changes and
sudden changes in production scheduling.

Eliminate Cushion Storage
Prevent machine breakdowns:
Determining the cause of machine failure at the time it occurs, even if it means shutting down the line temporarily.
Total Productive Maintenance movement.

Eliminate Cushion Storage
Zero Defect Movement.
Total quality management.
Use better inspection processes:
Self Inspection.
Successive Inspection.
Enhancement to inspection through Poka Yoke
Eliminate Cushion Storage
Eliminate Lengthy setups and tool changes
Implement SMED to eliminate long set-up times and tool changes
Running smaller batch sizes to allow for quick changes in production plans

Eliminate Cushion Storage
Absorb Change in Production Plan
Running smaller batch sizes allows for quick changes in production plans without disturbing flow production to significant extent.

Eliminating Safety (S) storage

Safety stock is kept not to take care of any predicted problem but to provide additional security
It may guard against delivery delays, scheduling errors, indefinite production schedules, etc.
Ex. 10 Delivery to stores
In example 2.10 Shingo mentions a company wherein vendors supply to store and from store components are supplied to assembly line.
Shingo suggested that vendors should directly supply the day’s requirements to assembly floor and in case of any problem, components in the store can be used.
Less Need for Safety Stock Observed
That practice led to the observation that very less safety stock is needed in the store.

Shingo recommends keeping a small controlled stock that is only used when the daily or hourly scheduled delivery fails or falls behind.
In case of unexpected defects also it can be used.

The safety stock can then be replenished when the scheduled materials arrive, but the supply of materials due for the process go directly to the line, rather than normally going into storage first.
This is the essence of the just-in-time supply method.

Eliminating lot delays
While lots are processed, the entire lot, except for the one piece being processed, is in storage (is idle).
The greatest reduction in production time can be achieved when transport lot sizes are reduced to just one; the piece that was just worked on.

Using SMED (single-minute exchange of dies), set up time is decreased so large lot sizes are no longer necessary to achieve machine operating efficiencies.
SMED facilitates one item lot sizes.

Layout Improvement - Flow
Transportation changes can be accomplished through flow  layout and using gravity feed Chutes which result in shorter production cycles and decreases in transport man-hours.

Reducing Cycle Time
Generally, semi-processed parts are held between processes 80% of the time in a production cycle time.
It quantity leveling is used and synchronization of flow is created, the cycle time can be reduced by 80%.
By shifting to small lot sizes will further reduce cycle time.

TPS – Reduction of Delays or Storage
Methods of reducing production time delays (JIT) is the foundation of Toyota Production System.
It clearly brings down production cycle time and thereby offers small order to delivery time.

Process Improvements in Toyota
Mixed model small lot production was attempted in Toyota to compete with American manufacturers.
First, inefficiencies in processing operations, inspection operations and transport operations were removed.
Then storage operations were attacked and inventories eliminated.
Toyota surpassed American manufacturers.

Now TPS is promoted as Lean System

Chapter 2 End

Ch. 3 Improving Operations

Operation may be classified as follows:

Set up operations - preparation
Principal operations - performance
Margin allowances - machine breaks
Personal allowances - worker breaks

Improving Setup

Improving principal operations
The easiest way to improve principal operations is to separate the worker from the machine.
Reduce involvement of man in machine running and production.
This involves the "one worker, many process" theory.
One worker attends 5-6 machines,
The principle is that cost reduction is more important than high machine operating rates.
Machines should not unnecessarily function and produce excess inventory.
But the operable time of the machine should be high.
Whenever needed machine must be ready for production.

Machine detects problem and stops.
Workers correct the problem.
The next step is to make the machine correct the problem

Improving margin allowances

Main operations are automated by marginal activities like removing chips, feeding materials and stocking products are still done by hand by men.
They also need to be automated.
Lubrication: Consider automatic lubrication, use of oil impregnated metals etc.
Cutting oil – Consider automatic oiling or cutting without oil.
Chip removal – Consider powdering chips or automatic lubrication and chip removal.

Workshop allowances

Automate the following:
Automate feeding for materials.
Automate product storage.
By adopting the SMED system, Toyota achieved dramatic reductions in setup time and inventory cost.
Adding multi-machine handling and autonomation further increased productivity.

Summary of Remaining Chapters of the Book

Updated 22 August 2017,  9 Sep 2015
First published 9 Sep 2014

Behavioral Approach to Productivity - Behavioral Variables and Productivity

"Behavioral strategies to improve productivity"
Gary P.Latham, Larry L.Cummings, and Terence R.Mitchell,
Organizational Dynamics
Volume 9, Issue 3, Winter 1981, Pages 5-23

Hum Resour Manage. 1983 Jan-Feb;13(1):1-5.
"Behavioral science approaches to improving productivity."

Shortell SM.

We have suggested that improving the productivity of an individual or of one group of workers is not the same thing as improving the productivity of the organization overall. Further, because work units in hospitals are interdependent, attempts to improve productivity ultimately involve a reexamination of the organization's values and culture. Until this fundamental realization occurs, little can be done to improve the organization's productivity. As such, productivity is not simply a day-to-day managerial issue as a long-term leadership issue. Thus, we ought to begin mapping out productivity strategies for the long run. Some of the elements of such a strategy have been highlighted.

Aubrey C. Daniels "Performance management: The behavioral approach to productivity improvement"
Global Business and Organizational Excellence
Volume 4, Issue 3, Summer 1985, Pages 225–236

S.K. Srivastava & Kailash Chandra Barmola
SMS Varanasi,  Vol. VII, No. 1; June, 2011

Evidence-Based Productivity Improvement: A Practical Guide to the Productivity Measurement and Enhancement System (ProMES)
Robert D. Pritchard, Sallie J. Weaver, Elissa Ashwood
Routledge, 04-May-2012 - Psychology - 316 pages
This new book explains the Productivity Measurement and Enhancement system (ProMES) and how it meets the criteria for an optimal measurement and feedback system. It summarizes all the research that has been done on productivity, mentioning other measurement systems, and gives detailed information on how to implement this one in organizations. This book will be of interest to behavioral science researchers and professionals who wish to learn more about the practical methods of measuring and improving organizational productivity.

Enhancing Strategies to Improve Workplace Performance
Thesis by Francine Williams Richardson
Walden University

Nudge management: applying behavioural science to increase knowledge worker productivity
Philip Ebert and Wolfgang Freibichler
Journal of Organization Design2017  6:4
Published: 21 March 2017

Seven Wastes Model

Seven Wastes - Taiichi Ohno - page 19 - Toyota Production System

   Waste                          -                   Method

Waste of overproduction - One cannot produce without a production Kanban

Waste of time on hand (waiting)  - Multiple machines to an operator, all producing as per tact time.

Waste in transportation - Machines in line or flow placed close together

Waste of processing itself - Standardized Methods

Waste of stock on hand (inventories) - JIT system - low inventory

Waste of movement (of workers) - Machine layout changes so that an operator handling multiple machines does not waste movement. Can there be control unit for all the machines at one place only?

Waste of making defective products - Problem solving approach to produce zero defects. 5 Why approach to find where the problem or defect occurred in the earliest stage. Educating and training operators by other team members and management.

Seven Waste Model is also expressed as TIMWOOD

T – Transport – Movement of material, people
I – Inventory – Stock of materials, parts, and finished items
M – Motion – movement of hands and other body parts in operating machines of hand tools
W – Waiting – Men and machines waiting for parts or instructions
O – Over production – Making more than is IMMEDIATELY required
O – Over processing – Tighter tolerances or higher grade materials than are necessary
D – Defects – Items scrapped and rework

Compare the seven waste model with flow process chart

Flow process chart recommends recording and examining 5 items.

Process -   will examine  1.Waste of processing itself,  2. Waste of overproduction

Inspection -  3. Waste of making defective products  - The inspection is only shown as a stage in flow process chart, It needs to be augmented with a record of defects or defectives found during inspection.

Transport - 4. Waste in transportation, 5. Waste of movement (of workers)

Temporary delay - 6. Waste of time on hand (waiting)

Permanent storage - 7. Waste of stock on hand (inventories)

Thus we can see, flow process charts has provided the foundation for analyzing the seven wastes proposed by Taiichi Ohno.

But subsequent persons have indicated Eighth Waste.

Wastage of physical and mental skills of people.

Alan Mogensen identfied this gap in industrial engineering theory and introduced work simplication workshops to involve operators and supervisors in productivity improvement. Subsequently, suggestions scheme became popular. Japanese managers brought more improvements and made operators given large number of suggestions and provided forums for participation.

Narayana Rao proposed Ninth waste.

9th Waste - Wastage of Machine Potential, Capability and Power - Wasting Machine's Potential Productivity

Industrial engineering has ignored wastage of potential of machines and equipment even though Taylor has advocated right from his piece rate system paper that for productivity improvement both machine and man are to be analyzed and improved.

9th Waste - Wasting Machine's Potential Productivity -- Elimination - Essential Industrial Engineering Activity


Seven Wastes

Seven Wastes Tool

Lean for Government: Eliminating the seven wastes

Lean in Government

Seven Wastes in Preventive Maintenanee Programs

Updated 23 August 2017, 15 November 2013

Sunday, August 20, 2017

Maintenance System Industrial Engineering

University of Reims Champagne Ardenne


Maintenance system  industrial engineering is the study of resource use in various maintenance activities with a view to increasing the efficiency or eliminating the waste wherever possible. While the maintenance is carried out to keep the machines and equipment in good condition to perform, resources are used the activity. This resource use is carefully investigated by the industrial engineering to identify and remove waste. Industrial engineering succeeded in reducing the cost of many processes designed in the first iteration by the managers by significant percentage and hence it is a very important activity in systems design or systems engineering.

Famous example of  manufacturing industrial engineering, is Henry Ford's production system redesign, that reduced the price of the automobile by half. Taylor reduced cost of many manufacturing activities. Gilbreth and Harrigton Emerson also achieved similar cost reduction in construction activity and rail road operations.

Industrial engineering has two components - System efficiency engineering and Human effort industrial engineering.

In another explanation, we can say industrial engineering consists of productivity science, productivity engineering and productivity management.

System Industrial Engineering - System Human Effort Engineering - System Efficiency Engineering

Human Effort Engineering - Techniques

1. Principles of Motion Economy
2. Motion Study
3. Workstation Design
4. Application of Ergonomics and Biomechanics
5. Fatigue Studies
6. Productivity/Safety/Comfort Device Design
7. Standardization of  Methods
8. Operator training
9. Incentive Systems
10. Job Evaluation
11. Learning effect capture
12. Work Measurement


1. Process Analysis
2. Operation Analysis
3. Layout Efficiency Analysis
4. Value engineering
5. Statistical quality control
6. Statistical inventory control and ABC Classification Based Inventory Sytems
7. Six sigma
8. Operations research
9. Variety reduction
10. Standardization
11. Incentive schemes
12. Waste reduction or elimination
13. Activity based management
14. Business process improvement
15. Fatigue analysis and reduction
16. Engineering economy analysis
17. Learning effect capture and continuous improvement (Kaizen, Quality circles and suggestion schemes)
18. Standard costing

Industrial Engineering Techniques Specially Applied in Maintenance IE

Replacement analysis
Group replacement analysis
Total productive maintenance
Spare parts inventory decisions
Spare parts storage
Maintenance activities ergonomics
Maintenance work measurement
Lean Maintenance
Poka Yoke design for maintenance
Reduction of maintenance time (using 5S and SMED techniques)

New techniques - 2017

Smart Maintenance

Progress of Industrial Engineering of Maintenance in Japan.

1961 The Japan Management Association (JMA) establishes a Plant Maintenance Committee.
                Japan Management Association is the body responsible for promotion of scientific management in Japan.
1964 A system for awarding PM Awards is established.
1969 The Plant Maintenance Department is dissolved and the Japan Institute of Plant Engineers is established.
1971 The concept of plant maintenance with total participation (Total Productive Maintenance) is proclaimed.
1981 The Japan Institute of Plant Maintenance is launched, following approval from the Ministry of International Trade and Industry as charitable corporation.
The definition of TPM is revised.
The Society of Plant Engineers Japan is established.
1990 The Japan Association of Maintenance and Service Contractors is launched.
2005 JIPM Solutions company limited is separated and transferred from JIPM as a profit-seeking corporation.
2012 JIPM was approved as a public interest incorporated association by the prime minister.

Mission Statement JIPM 2017

We contributes to promoting safe, secure and reliable production and maintenance activities, as well as stabilizing and improving quality, in the world of industry through supporting problem-solving related to the enhancement of productivity, equipment-management technologies, and maintenance technologies and skills.

Why You Should Try Smart Maintenance

What Is Lean Maintenance?

Six Sigma Keys to Lean Maintenance

Six Sigma in Maintenance

Plant maintenance management practices in automobile industries: A retrospective and literature review

Total Productive Maintenance Review and Overall Equipment Effectiveness Measurement
Osama Taisir R.Almeanazel
Department Of Industrial Engineering, Hashemite University, Zarqa, 13115 Jordan

VTT operation and maintenance solutions deliver trouble-free, predictable fleet operation. Our smart solutions optimize safe fleet operation and maintenance, and constitute new competitive service business models for your knowledge-intensive services. Thanks to our significant experience and deep knowledge in this area, we are able to optimize the total operating performance of your fleet. We can also minimize your maintenance time with fast failure identification and recovery.

Analysis and Scheduling of Maintenance Operations for a Chain of Gas Stations
Mehmet Savsar
Kuwait University, College of Engineering and Petroleum, P.O. Box 5969, 13060 Safat, Kuwait
Journal of Industrial Engineering
Volume 2013 (2013), Article ID 278546
Received 6 November 2012; Revised 2 February 2013; Accepted 3 February 2013

Analysis on Costs for Aircraft Maintenance
U. PeriyarSelvam, T. Tamilselvan, S. Thilakan and M. Shanmugaraja
Department of Aeronautical Engineering, Park College of Technology,
Karumathampatti, Coimbatore – 641 659.
Advances in Aerospace Science and Applications.
ISSN 2277-3223 Volume 3, Number 3 (2013), pp. 177-182
© Research India Publications


An Assessment of Maintenance Practices and problems in Jordanian Industries
K. K. Tahboub. 2011
Department of Industrial Engineering, Faculty of Engineering and Technology, University of Jordan, Amman, Jordan

Ilyas Mohammed Iyoob, Department of Mechanical Engineering, The University of Texas at Austin,
Austin, Texas, USA
C. Richard Cassady, Department of Industrial Engineering, University of Arkansas,
Fayetteville, Arkansas, USA
Edward A. Pohl, Department of Industrial Engineering, University of Arkansas, Fayetteville,
Arkansas, USA

MSc thesis
Department of Mechanical and Industrial Engineering
University of Iceland


Maintenance and Industrial Engineering (GIM)
University Technological Degree in Maintenance and Industrial Engineering (GIM),177,261.html

Book Engineering Maintenance - Modern Approach - B.S. Dhillon, 2002

Just-in-time Maintenance, Repair, & Overhaul (Presentation)
Anonymous. IIE Annual Conference. Proceedings (2008): 1-34.

Updated  21 August 2017,  21 April 2015
First published on 27 September 2012