Saturday, July 16, 2022

IE Research - Machining of Titanium Alloy Analysis of Productivity and Machining Efficiency

 

Analysis of Productivity and Machining Efficiency in Sustainable 

Machining of Titanium Alloy

Procedia Manufacturing 43 (2020) 111–118

https://www.researchgate.net/publication/341060127_Analysis_of_Productivity_and_Machining_Efficiency_in_Sustainable_Machining_of_Titanium_Alloy


Analysis of Productivity and Machining Efficiency in Sustainable 

Machining of Titanium Alloy

Aqib Mashood Khan, Ning He, Liang Li, Wei Zhao, Muhammad Jamil 


Abstract

Recently, hybrid lubricooling is considered as the emerging sustainable cooling technique and is in a rudimentary stage. The application of hybrid CryoMQL (Cryogenic+MQL) method is getting repute in the industrial sectors due to its benefits, such as less resource consumption and improved productivity. 

In this study, turning experiments were performed to analyze the productivity and machining efficiency in  machining of Ti-6Al-4V alloy. All experiments were performed in different cooling techniques, and comparative results were obtained. Cutting time was fixed for each environment during a particular set of experiments and cutting speed was kept relatively higher in hybrid CryoMQL (HCM) method. Results showed that the HCM method performed best as compared to dry and MQL method. Longer tool life, higher productivity, lower energy consumption can be obtained using the proposed method.

https://www.sciencedirect.com/science/article/pii/S2351978920306995?ref=cra_js_challenge&fr=RR-1

OpenCV

OpenCV is a huge open-source library for computer vision, machine learning, and image processing. OpenCV supports a wide variety of programming languages like Python, C++, Java, etc. It can process images and videos to identify objects, faces, or even the handwriting of a human. When it is integrated with various libraries, such as Numpy which is a highly optimized library for numerical operations, then  whatever operations one can do in Numpy can be combined with OpenCV.


https://opencv.org/


https://en.wikipedia.org/wiki/OpenCV



https://www.tutorialspoint.com/opencv/opencv_overview.htm


This OpenCV tutorial will help you learn the Image-processing from Basics to Advance, like operations on Images, Videos using a huge set of Opencv-programs and projects.


https://www.geeksforgeeks.org/opencv-python-tutorial/


Book

OpenCV: Computer Vision Projects with Python

Joseph Howse, Prateek Joshi, Michael Beyeler

Packt Publishing Ltd, 24-Oct-2016 - Computers - 558 pages

https://books.google.co.in/books?id=SZfcDgAAQBAJ


Ud. 16.7.2022

Pub 5.7.2021








Friday, July 15, 2022

Organizational Knowledge About Productivity and Quality

 



https://www.iso9001help.co.uk/7.1.6%20Organizational%20Knowledge.html


https://www.iso9001help.co.uk/7.1.4%20Process%20Environment.html


https://www.iso9001help.co.uk/5.2%20Policies.html


https://www.iso9001help.co.uk/6.2.1%20Objectives.html

L'Oreal - The Digitization Strategy and Journey - Topic of Improvement Strategy and Execution - Case Study

 


https://iby.imd.org/innovation/loreal-the-beauty-of-supply-chain-digitalization/

The company  has a global footprint of 40 factories, over  50,000 suppliers and over 500,000 delivery points.


In 2010, the dawning digital world promised a future full of possibilities. L’Oréal CEO Jean-Paul Agon recognized this, and declared 2010 “The Year of Digital”. He encouraged different functions within L’Oréal to begin exploring digital transformation.  Four years later, the company employed its first Chief Digital Officer, who began building a structure and framework around Agon’s initial vision under the banner 20/50/100 (20% of sales should be through e-commerce, 50% of all interactions personalised and 100% of the company’s brands should engage with consumers through social media).



https://www.loreal.com/en/beauty-science-and-technology/beauty-tech/digital-transformation/


https://www.loreal.com/en/news/group/how-is-digital-transformation-helping-loreal-work-wonders/


Accelerating digital transformation at L'Oréal: Lubomira Rochet, Global Chief Digital Officer

19 Jan 2021


How did L'Oréal accelerate this transformation during 2020 when the pandemic forced consumers out of bricks-and-mortar retail and into digital platforms and e-commerce? How does one successfully lead this massive strategic transformation? In this episode of the Oxford Future of Marketing Initiative's "Leading the Future of Marketing," Professor Andrew Stephen talks with Lubomira Rochet, the global Chief Digital Officer of L'Oréal. 

Recorded in December 2020 with a live audience of Oxford Saïd MBA students.



Digital Transformation - L'Oréal Master Class - Lubomira Rochet

27 Nov 2020

https://www.youtube.com/watch?v=i6y7bPVde6A


For this new Masterclass, we are delighted to welcome Lubomira ROCHET – L’Oréal Group Chief Digital Officer (Since 2014) She will drive you through L’Oréal Digital Transformation, the mainstay of the Group’s strategy and speak of COVID impact on digital.


Lubomira Rochet: Leading digital transformation at L’Oréal

27 Apr 2017 


As part of the Distinguished Speaker Series, Oxford Saïd welcomed Lubomira Rochet, Global Chief Digital Officer of the L’Oréal Group, to share her experience of helping one of the world’s oldest consumer goods companies in digital marketing. 

https://www.youtube.com/watch?v=nwaejNWmj-g


https://www.loreal-finance.com/en/annual-report-2020/digital-4-4-0/digitalisation-a-winning-strategy-on-all-fronts-4-4-2/


https://www.thinkwithgoogle.com/future-of-marketing/digital-transformation/loreal-mobile-digital-marketing-strategy/


https://www.intelligentautomation.network/transformation/articles/how-loreal-is-disrupting-the-disrupters


https://digital.hbs.edu/platform-rctom/submission/loreal-transforming-beauty-with-technology/


L’Oréal's Digital Transformation and how it Differs from that of Estee Lauder's

Published on July 27, 2021

https://www.linkedin.com/pulse/lor%C3%A9als-digital-transformation-how-differs-from-estee-abhinav-krishna/


WATCH: L'ORÉAL'S ASMITA DUBEY ON THE METAVERSE, E-COMMERCE AND DIGITAL TRANSFORMATION

Chief Digital and Marketing Officer Asmita Dubey live from Viva Technology conference on navigating slowing e-commerce, making social commerce work and exploring the metaverse     

By Jack Neff. Published on June 15, 2022.

https://adage.com/article/ad-age-video/loreals-dubey-talks-metaverse-e-commerce-and-digital-transformation-live-video/2420026


How L'Oreal India is Fostering a Culture of Innovation

2021

https://www.i-com.org/news-articles/how-loreal-india-is-fostering-a-culture-of-innovation


Search for " l'oreal digital transformation " has many interesting results.


Thursday, July 14, 2022

Expansion of Mobile Communications and Data Downloads

 


https://www.ericsson.com/en/reports-and-papers/mobility-report/reports


June 2022 Report




Global mobile network data traffic has doubled in the last two years, driven by continuing growth in smartphone usage, mobile broadband and now the digitalization of societies and industries. 

 

Managing the continued strong traffic growth while reducing energy consumption is also a top priority. 

Older technologies are being replaced by continuous build-out of 4G and 5G networks, substantially improving network performance and energy efficiency with each generation. 

5G technologies play a key role in modernization, providing multiples of capacity while becoming more energy efficient. 

Innovative network technologies enable service providers to introduce new services that in turn support societies and enterprises to reduce their carbon emission footprint. 

In this edition, we share some examples of how 4G and 5G technologies make it possible to unleash the power of IoT connectivity to enhance both enterprises’ business performance and sustainability.


Contents

Forecasts 

04 5G mobile subscriptions to surpass 1 billion in 2022

06 Region-specific factors impact subscription adoption patterns

08 India’s 5G future: A closer look

10 Over 100 million FWA connections in 2022

12 Mid-tier smartphones take 

5G into the mainstream

13 Massive IoT shows strong growth in 2021

14 Enhanced communication services from VoLTE to VoNR

15 Mobile network traffic doubled in last two years

16 5G share of mobile data traffic growing

18 5G offerings picking up speed

20 5G SA deployment: Moving beyond eMBB

22 One-quarter of the world’s population now covered by 5G

Articles

24 Unleashing the power of IoT connectivity

27 The evolution of MTN’s connectivity platform

30 Enabling demanding use cases with CSP edge computing 

33 Securing 5G networks in an evolving threat landscape

36 Methodology

37 Glossary

38 Global and regional key fig



Productivity Science of Machining I - Industrial Engineering Research by Taylor Part 1

Productivity science is the foundation for industrial engineering.
For every basic production process we need productivity science. - Narayana Rao
Productivity science is required for sand casting, die casting, forging, welding etc. Industrial engineering research is to be carried out in each of these basic production processes. Taylor did 26 years of research in turning and boring and published "The Art of Metal Cutting" in 1907.


IE Research by Taylor - Productivity of Machining  - Part 1 - Part 2  - Part 3  - Part 4 - Part 5 


Paper Published in the Proceedings of IISE 2020 Annual Conference.

Frameworks for Productivity Science of Machine Effort and Human Effort

Rao, Kambhampati Venkata Satya Surya Narayana. IIE Annual Conference. Proceedings; Norcross (2020): 429-434.


Taylor is the first person who wrote about a system to improve productivity in machine shop. He contributed to productivity science, productivity engineering and productivity management. It is important to study the productivity science developed by Taylor through his paper "The Art of Metal Cutting." Number of tables were shared with participants along with the paper presented in 1906. The folder containing tables is not yet available in the web space. 

Taylor did research on productivity improvement of machining in turning process for 26 years and provided number of relations between cutting variables and productivity. An attempt is made in this series of notes to present the research results and conclusions in the order of importance given by Taylor regarding productivity improvement potential.

The numbers refer to passage numbers in the paper.

ELEMENTS AFFECTING CUTTING SPEED OF TOOLS IN THE ORDER OF THEIR RELATIVE IMPORTANCE 

278 The cutting speed of a tool is directly dependent upon the following elements. The order in which the elements are given indicates their relative effect in modifying the cutting speed, and in order to compare them, we have written in each case figures which represent, broadly speaking, the ratio between the lower and higher limits of speed as affected by each element. These limits will be met with daily in machine shop practice. 

279 (A) The quality of the metal which is to be cut; i.e., its hardness or other qualities which affect the cutting speed.

Proportion is as 1 in the case of semi-hardened steel or chilled iron to 100 in the case of very soft low carbon steel. 

280 (B) The chemical composition of the steel from which the V tool is made, and the heat treatment of the tool.

Proportion is as 1 in tools made from tempered carbon steel to 7 in the best high speed tools. 

281 (C) The thickness of the shaving; or, the thickness of the spiral strip or band of metal which is to be removed by the tool, measured while the metal retains its original density; not the thickness of the actual shaving, the metal of which has become partly disintegrated.

Proportion is as 1 with thickness of shaving 3/16 of an inch to 3.5 with thickness of shaving 1/64 of an inch.  

282 (D) The shape or contour of the cutting edge of the tool, chiefly because of the effect which it has upon the thickness of the shaving.

Proportion is as  1 in a thread tool to 6 in a broad nosed cutting tool. , 

283 (E) Whether a copious stream of water or other cooling medium is used on the tool.

Proportion is as 1 for tool running dry to 1.41 for tool cooled by a copious stream of water. 

284 (F) The depth of the cut; or, one-half of the amount by which the forging or casting is being reduced in diameter in turning.

Proportion is as 1 with 1/2 inch depth of cut to 1.36 with 1/8 inch depth of cut. 

285 (G) The duration of the cut; i. c., the time which a tool must last under pressure of the shaving without being reground.

Proportion is as 1 when tool is to be ground every 1.5 hour to 1.207 when tool is to be ground every 20 minutes.

286 (H) The lip and clearance angles of the tool.

Proportion is as 1 with lip angle of 68 degrees to 1.023 with lip angle of 61 degrees. 

287 (J) The elasticity of the work and of the tool on account of producing chatter.

Proportion is as 1 with tool chattering to 1.15 with tool running smoothly. 

288 A brief recapitulation of these elements is as follows: 
(A) quality of metal to be cut: 1 to 100; 
(B) chemical composition of tool steel: 1 to 7;
 (C) thickness of shaving: 1 to 3.5; 
(D) shape or contour of cutting edge: 1 to 6; 
(E) copious stream of water on the tool: 1 to 1.41; 
(F) depth of cut: 1 with 1/2 inch depth to 1.36 with 1/8 inch depth of cut; 
(G) duration of cut: 1 with 1.5 hour cut to 1.20 with 20-minute cut; 
(H) lip and clearance angles: 1 with lip angle 68 degrees to 1.023 with lip angle of 61 degrees; 
(J) elasticity of the work and of the tool: 1 with tool chattering to 1.15, with tool running smoothly.


(A) quality of metal to be cut: 1 to 100;
279 (A) The quality of the metal which is to be cut; i.e., its hardness or other qualities which affect the cutting speed.

Proportion is as 1 in the case of semi-hardened steel or chilled iron to 100 in the case of very soft low carbon steel.

A. QUALITY OF METAL BEING CUT
THE EFFECT OF THE QUALITY OF THE METAL BEING CUT UPON CUTTING SPEED


1129 we made great numbers of experiments upon the effect of the quality of the metal being cut upon the cutting speed.

SYSTEMATIC CLASSIFICATION OF STEEL FORGINGS AND CASTINGS ACCORDING TO THEIR CUTTING SPEEDS

1133 For practical use in the machine shop it is evident that the most important and logical method of classifying all forgings and castings which are to be machined is in accordance with their cutting
speeds.

1134  We have divided all metals into classes according to their cutting speeds, which vary from one another with the common ratio of 1.1, namely: Class No. 1 corresponds to that metal which will give us the highest cutting speed which we are likely ever to use in a machine shop; Class No. 2 represents a metal whose cutting speed is that of Class No. 1 divided by 1.1, or [Cutting speed of Class 1/1.1] and so on, the cutting speed of each class being connected with the one preceding it by the ratio of 1.1.

1135 It is of great importance to connect this numerical scale of hardness (which varies by the common rate of 1.1) directly and permanently with certain qualities of metal and with cutting tools
of definitely known cutting properties. As a basis for accomplishing this we would state that Class No. 13 upon this scale corresponds to a cutting speed of 60 feet per minute, for a standard cut of 20 minutes duration when a high speed inch tool (see Folder 5, Fig. 24) of the chemical composition of tool No. 27 (Folder 21) is used, taking a depth of cut of inch and feed of inch.

1136 Our experiments indicate also that Class No. 13 represents a speed of 99 feet (in round numbers 100 feet) for the best high speed tool (Folder 20, Tool No. 1), running under the same conditions as
stated in paragraph 744.

1137 Using this data as a basis, our scale of "hardness classes"
for metals can be connected with other shapes of tools and other qualities of tool steel, other depths of cut, and other thicknesses of feed, by reference to the various tables and formula given throughout this paper.

1138 In using this classification it will be noted that the best modern high speed inch tool, if cutting metal belonging to Class 1 would have a cutting speed of 316 feet per minute with a standard
inch depth of cut and inch feed; and such a metal as this would be much softer than any steel which is cut in a machine shop.

1139 By referring to paragraphs 545 to 747, it will be seen that for what we call a hard steel forging of about the quality of a hard locomotive tire, a cutting speed of 45 feet corresponds to Class 21 and 1/4, while a soft steel having a cutting speed of 198 feet corresponds to Class 5 and 3/4.

1140 Having a clearly defined hardness classification of this sort for metals enables us to tie all of our experimental and practical work for years past together, even although tools of different chemical
composition, and therefore of different cutting speeds, were used. This system of classification is also admirably suited for use on a slide rule.

THE EFFECT OF THE QUALITY OR HARDNESS OF STEEL FORGINGS UPON THE CUTTING SPEED
1141 There are three important elements which affect the hardness or the cutting properties of steel forgings:
a Their chemical composition.
b The thoroughness with which the metal is forged, that is, the amount that the cross-section of the ingot has been reduced in making the forging and the forging heat.
c The subsequent heat treatment which the forging receives, that is, whether it has been laid down to cool in the air, annealed, or oil hardened, and the exact temperatures of annealing and the rapidity of cooling.

1142  It may be said, however, that for steel containing 0 .40 per cent of carbon or less, the percentage of carbon is a fairly reliable guide to the hardness or cutting speed.

BEST GUIDE TO HARDNESS AS IT AFFECTS CUTTING SPEEDS LIES IN THE PHYSICAL PROPERTIES OF STEEL AS INDICATED BY THE TENSILE STRENGTH AND PERCENTAGE OF STRETCH AND THE CONTRACTION OF AREA OF STANDARD TENSILE TEST BARS CUT FROM THE BODY OF THE FORGING

1143 The physical properties of steel constitute a fairly accurate guide to its cutting speed; and these properties are best indicated by the tensile strength and percentage of stretch and contraction of area obtained from standard tensile test bars cut from such a position in the body of the forging as to represent its average quality and then broken in a testing machine.

1144 It is of course impossible in most cases for any ordinary machine shop to cut test bars from the forgings which are actually used in the shop. It is, however, entirely possible and in many
cases desiräble to purchase forgings and castings with certain guaranteed tensile strength, stretch and contraction, and thus insure both the superior quality of the metal bought, and at the same
time obtain metal practically uniform in its cutting speed. In our search for a guide to the cutting speed of metals, this has proven the only reliable index to the cutting speed.

1145 On Folder 23, Table 141, and also on Folder 12, Tables 81 and 83, we record a large number of steel forgings which were accurately standardized by us in the course of our experiments. Their
chemical composition and physical properties will be found opposite the cutting speeds for our standard j- inch tool, with standard 20-minute cut, inch depth of cut arid inch feed, the speeds in
one column corresponding to tool No. 27 (Folder 21) and in the other column to tool No. 1 (Folder 20).

1146 A study of this table, however, will show that in general the cutting speeds grow slower as the percentage of carbon in the steel to be cut grows greater. In general, also, it will be noted that the cutting speed becomes slower as the tensile strength of the metal becomes higher, and that the cutting speed grows faster as the percentage of stretch increases.

1147 We have discussed at considerable length in paragraphs 506 to 579 (theory as to why pressure has no relation to cutting), a theory explaining why the cutting speed increases with an increase
of stretch and diminishes with an increase of tensile strength.

1149 We have developed the following empirical formula which is at least a partial guide to the cutting speed of steel of good quality when the physical properties of the forging are known as represented by a standard test bar 2 X inch cut from the body of the forging and broken in a testing machine.

1150 The cutting speed as represented by this formula will be found in the column in Folder 23, Table 141, opposite the actual speeds obtained from running the tools, and an inspection of the figures
given in these two columns will indicate the degree of accuracy with which the formula represents the facts.
1151  We do not feel satisfied with this formula, and shall endeavor to find a better substitute.

1152 It is well known that in the harder grades of steel, particularly those which are harder than hard tire steel, both the tensile strength and the percentage of stretch are variable, that is, materially different results will be shown from test bars cut from the same forging. For this reason also the tensile strength and stretch, in our judgment, will never prove an accurate guide to the cutting
speed of very hard forgings. However, it is the best guide at present known, and therefore has a certain value.

1153 We have tried experiments along several different lines in our endeavor to find some quick and reliable index to the hardness (i. e., the qualities which affect the cutting speed) of forgings and
castings, all, however without satisfactory, practical results. Among these we would mention:
a the ordinary abrasive tests in which metals of known hardness are used to scratch the metal to be examined;
b indenting the metal which is to be cut by pressing a punch or knife edge with a given pressure down into the face of the metal to be tested, and then measuring the extent of the indentation.
c The use of a special drilling machine, in which standard drills are used under definite pressure, and in which the distance drilled in a given number of revolutions is measured.

1156 One of the greatest needs in the art of cutting metals is a more accurate standard by which to foretell the cutting speed of forgings and castings, and this should form a subject for future
experiments.

EFFECT OF THE QUALITY OR HARDNESS OF THE CAST IRON UPON THE
CUTTING SPEED

1157 It is much more difficult to predict the correct cutting speed for cast iron than for steel, and as yet no reliable method for doing this has come to our attention.

1158 Viewed from the standpoint of chemical analysis, the cutting speed becomes slower, the larger the amount of combined or cement carbon contained in the casting, and the cutting speed
becomes less the smaller the amount of silicon contained in the casting. The amount of combined carbon, however, depends largely upon the rate or rapidity with which the cast iron has been cooled
after being poured into the mold; so that the mixture of the metal in the cupola does not constitute an accurate guide to the hardness of castings.

1159 It is needless to call attention to the fact that thin sec tions of cast iron which are cooled rapidly are harder and must be cut at slower cutting speeds than thick sections of metal made from the same heat and cast at the same time. Therefore, a study of the hardness of castings as it affects their cutting speeds must be made in each machine shop upon the particular castings actually used in order to obtain reliable results.

THE QUALITY OF RED HARDNESS IN TOOLS PLAYS A MUCH SMALLER PART IN CUTTING CAST IRON THAN IN CUTTING STEEL THEREFORE, WITH HIGH SPEED TOOLS THERE IS A MUCH LESS PERCENTAGE OF GAIN IN CUTTING CAST IRON THAN IN CUTTING STEEL

1160 It is a constant source of surprise that the high speed tools do not make the same proportionate gain in cutting cast iron as they do in cutting steel. Exact figures will be found in the table on Folder 20, where by comparing the cutting speeds of tools No. 85 (old fashioned carbon tempered tool) and No. 65 (old style Mushet self-hardening tool) with the best high speed tool No. 1, it will be noted that in cutting cast iron the best high speed tool cuts only about three and one-third times as fast as the old fashioned carbon tool, while when cutting both very hard and medium steel, the new high speed tool cuts between six and seven times as fast as the carbon tool.

In the revision of this note, the language will be simplified. Presently, the passages from the paper, "The Art of Metal Cutting" are being given as it is.

Next Lesson



Updated 14.7.2022,  30.12.2021, 13.10.2021,  16 July 2021
Pub. 1 July 2020



Friday, July 8, 2022

Improvement Strategy and Task in Industrial Concerns and Systems - Role of Industrial Engineering

Three Major Channels of Process Improvement.
1. Process Redesign by Process Planning Team.
2. Process Improvement Study by Industrial Engineering Team.
3. Continuous #Improvement by Involving Shop Floor Employees and All Employees.

Continuous Improvement - Employee Participation Principle of Industrial Engineering



In manufacturing and operations strategy books, improvement strategy is discussed as one of the four important strategic decision areas (Nigel Slack and Michael Lewis). Industrial engineering is the first formal improvement discipline in engineering and management. "Improvement" is part of IE definition of AIIE, IIE and IISE. Still, industrial engineering is not discussed in the manufacturing and operations strategy books. IEs have to look into the reasons why their discipline is not given recognition by the professors of a subject that is extremely close to their professional practice.

Industrial Engineering - Definition

AIIE: “Industrial engineering is concerned with the design, improvement, and installation of integrated systems of men, materials, and equipment.

(AIIE, 1955, Maynard, H.B.,  Handbook of Industrial Engineering, 2nd Edition,  McGraw Hill, New York, 1963.) 

(IISE official definition)

Industrial and systems engineering is concerned with the design, improvement and installation of integrated systems of people, materials, information, equipment and energy. (Accessed on 12 March 2021 https://www.iise.org/details.aspx?id=282)

Was improvement defined in IE terminology?  I could not locate it in IE terminology.

But these two definitions are available on IISE website in featured lean definitions.

Kaikaku 

A radical change, during a limited time, of a production system. Often means that an entire business is changed radically, normally in the form of a project. Kaikaku is most often initiated by management, since the change as such and the result will significantly impact business. Sometimes called a kaizen blitz. 

Kaizen

The systematic, organized improvement of processes by those who operate them, using straightforward methods of analysis. It is a "do it now" approach to continuous incremental improvement to create more value with less muda. Kaizen establishes what needs to be done and instills the principles of continuous improvement. Also called point kaizen, process kaizen or blitz.

https://www.iise.org/Details.aspx?id=1104


There are articles and related materials on improvement in IISE publications.

The generations of improvement

Lessons from the past can leverage the greatest opportunities in history 

Industrial Engineer Magazine: Industrial Engineer Engineering and Management Solutions at Work

August 2012    |    Volume: 44    |    Number: 8

https://www.iise.org/IEMagazine/Details.aspx?id=31872

The first generation

Although improvement has existed since the beginning of time, the first formal generation of continuous improvement occurred from the 1880s. 

During this time, folks like Frederick Taylor, Walter Shewhart, Frank and Lillian Gilbreth and others created the discipline of industrial engineering and scientific management. Taylor was an early improvement pioneer.  His productivity science, study and improvement techniques were adopted widely by companies with varying levels of success and challenges. 


Industrial Engineer Engineering and Management Solutions at Work

June 2013    |    Volume: 45    |    Number: 6

https://www.iise.org/IEMagazine/Details.aspx?id=34646

The synergy of continuous process improvement

Integrating lean, Six Sigma and theory of constraints can multiply their benefits

By Reza M. Pirasteh and Srinivasan Kannappan

The seven-step approach to iTLS (Integrated TLS) is summarized as follows:

Mobilize and focus on the process bottleneck at the system level.
Exploit the constraint by attempting to get the most out of existing resources and equipment.
Eliminate the sources of waste (muda) at the bottleneck to increase the throughput at the bottleneck.
Control process variability through understanding the sources of variabil­ity and the key input/output variables and their behaviors.
Control supporting activities to the bottleneck. The sources that feed the bottleneck must be controlled and never allowed to starve the bottle­neck. Any bottleneck starvation would translate into throughput starvation.
Remove the constraint and stabilize the process.
Re-evaluate the system, as the bottle­neck could have shifted to another process.


Industrial and Systems Engineering at Work

October 2017    |    Volume: 49    |    Number: 10

https://www.iise.org/ISEmagazine/Details.aspx?id=45378

CL6 allows three shots at better improvement

By John D. Hudson Jr.

A trio to boost focus, flow and stability

To be competitive, organizations need three key advantages: focus, flow and stability. All three can be accomplished with a vigorous application of what we will call CL6 for constraints management, lean and Six Sigma.

Constraints management (aka theory of constraints or TOC) provides the leverage from proper focus.

Lean principles aim to maximize flow by avoiding or minimizing impediments to smooth flow or velocity.

Six Sigma has tools to reduce the variability that harms organizational performance and makes improvement elusive.



LEAN MANAGEMENT

Topic Leader: Dr. Wiljeana Jackson Glover

Affiliation: Massachusetts Institute of Technology

https://www.iise.org/SEMS/details.aspx?id=31004


WHAT IS CHANGE?

Change Is.....

https://www.iise.org/Details.aspx?id=3290


OPERATIONAL ANALYTICS FOR INTEGRATED LEANSIGMA PROCESS IMPROVEMENT PROJECTS


Presenters: Jared Frederici, The Poirier Group and Scott Sink, The Ohio State University

https://www.iise.org/details.aspx?id=45487


GEMBA: MANAGING FOR DAILY IMPROVEMENT
Presenter: Sheena Butts, MEM, CLSSBB, director organizational effectiveness, Lakeland Regional Health
https://www.iise.org/details.aspx?id=42176

Improvement Strategy - Hayes, Pisano, Upton and Wheelright


Hayes, Pisano, Upton and Wheelright discussed improvement strategy in two chapters in their book on Operations Strategy. According to them, improvement strategy must include five basic aspects.

1. A direction in which the organization should focus its efforts.
2. Establishing and cultivating expectations and goals.
3. Organizing for implementation.
4. Providing appropriate resources.
5. Developing contingency plans.

Fit of operations refers to the need for an operations structure being coherent or compatible with infrastructure of the organization and the business strategy. The structure consists of facilities, capacity, sources of supply, and process/information technologies. Focus refers to the establishment of priorities to concentrate the resources of an operations facility on a restricted set of  activities even in serving a single product market. These decisions are not sufficient for the success of the firm. The firm has to adapt to the changing conditions as time progresses and improve its performance relative to the competition (The authors give the analogy of teams which are ahead in a roving competition, with all teams having similar boats).

Organizational Improvement - Macro-Level and Micro-Level


The concept of learning effect is an interest macro-level improvement topic. According to this concept, labor hours required to produce decrease per unit, as cumulative production increases. The concept was later extended to total cost of production and is termed experience effort. Similar effects can be seen in other similar measures of an organization like quality, flexibility etc.

The macro level improvement is possible only because micro-level improvement is taking place at individual level, group level and across many groups. The important issues in the micro-level improvement topic are:

1. How do group level and multi-group level improvements takes place?

2. Importance of analyses by experts versus the suggestions of operators regarding improvement (Learning before doing vs learning by doing).

3. Is learning predominantly discontinuous (process redesigns) or continuous (continuous micro or incremental changes)?

4. Does improvement come from internal operations or improvements carried out out-side the organization and transferred to inside?

Some Aspects of  Improvement in Organizations


Improvement in organizations, occurs at three levels. One at the individual employee level, second at the group level and third across the groups. An organization has multiple groups or departments.

Different types of improvement occur at different time horizons. Improvement arising from individual learning, continuous improvement in learning initiated by industrial engineers or shop floor persons, introduction of new materials in existing products, introduction of new equipment in existing processes etc. can happen within a few months. Recruitment of more effective people, training them and achieving benefit from their initiatives requires one to three years. Similarly improvements in process based on process R & D, and introduction of  improved products in the existing product portfolio takes one to three year time horizon. Building bigger plants to exploit scale economies, introducing totally new products and new processes require many more years.

Improvement - Tasks Requiring Explicit Knowledge and Tacit Knowledge


Tasks are executed based on some amount of  explicit knowledge and some amount of tacit knowledge. Explicit knowledge can be given through an instruction sheet. Tacit knowledge improves through practice and interaction with experienced persons based on practice. Improvement in the explicit knowledge can be obtained by employing the services of experts. But improvement in the tacit knowledge happens through practice and interaction between persons working in groups on similar tasks and supervisor who is observing closely the work and providing inputs as required. This explains the success of companies that specially encourage their operators and supervisors to suggest improvements as well as to do actual improvements and demonstrate to others.

Improvement Based on Developments in Other Companies and Firms


World-level competition or global competition is forcing companies to learn from others and improve their operations. The knowledge obtained from other companies is mostly explicit knowledge that the companies are willing to share through various channels. The first of these sources is customers. Companies are increasing contacting their customers to know from them the features they want improvement in their products. Companies are asking their product designers and production people to interact with their customer and know their difficulties in using products and the improvements they desire.

The next sources of improvement ideas are supplier base. They can inform the development likely to take place in the products they are supplying and possible final product design changes based on likely developments at their end. Supplier involvement in design is now a very popular design initiative.

Companies started sending production operators also to machinery exhibition along with engineers as operators have observations more relevant to the actual shop floor operation.

Co-operative benchmarking arrangements are being made by companies in industry associations to share certain performance measures so that the best possible performance can be identified and other companies can think of ways to attain that performance.

The authors write that companies can learn from the performance of National Malcolm Baldrige Award as they disclose number of their performance measures.

Companies engage experts and consultants and buy technology. Even though lot of  explicit knowledge is available in various including number of books with descriptions successful system, companies find it difficult to implement them in their companies effectively. Authors cite Toyota Production System as an example. There are hundreds of books describing various practices of the system but many companies are unable to enjoy the benefits claimed in the books. This may be because the explicit knowledge needs to be accompanied by significant amount of tacit knowledge. So companies have to make lot of effort to develop the tacit knowledge inhouse through number of months and years of implementation accompanied by creative minor improvement projects to solve the problems encounters and the optimizaiton opportunities unravelled.


Breakthrough Improvement vs Incremental Improvement - Process Design vs Industrial Engineering/Improvement Engineering


The sustainability of a company's competitive effectiveness (ability to be a player in the market with adequate market share, revenue and profit) depends on improvement in cost (lower cost), quality (better quality), features (more features) etc. The improvement in various product characteristics and accompanying service characteristics can be obtained through breakthrough improvements incorporate through process designs. The design changes occur normally based on technology breakthroughs. Industrial engineering is incremental engineering and improvement. Industrial engineering are present in the shop and are observing operations on a continuous basis to improve operations by identifying and eliminating waste or by responding to element level engineering developments like appearance of a new tool, or a new lubricant. There are alert to very minor developments and have to ability to do the engineering changes required in the system to take the benefit of these minor changes to product designs and processes. The suggestions by operators can also be used by industrial engineering and production engineers to improve products and processes on an incremental basis.

In the recent days, BPR became popular as a breakthrough improvement technique giving major process redesigns and TQM as an incremental improvement technique. Industrial engineering is oldest the formal improvement engineering discipline (Industrial engineering history).

2 X 2 Matrix of Improvement Strategies.


Authors Hayes et al. developed a 2 X 2 matrix with nature of knowledge base as rows (y axis) and type of improvement as columns. This gives four quadrants.

First Quadrant (I) - Tacit knowledge - Incremental learning


Improvement activities in which operators are encouraged to give suggestions for improvement and do those improvements. This strategy is very successful in some organizations. The success of this strategy depends on the supporting activities and policies.

The steps in the incremental improvement include;

1. Problem identification by some operators.
2. Problem prioritization by some related group
3. Problem analysis
4. Controlled experimentation

Second Quadrant (II) - Explicit knowledge - Incremental improvement


The improvement done in one group through tacit knowledge development efforts are to be transferred to other groups. The alternative ways of doing this are transferring some employees to group to be improved, deputing employees from the group to be improved to the group that made the improvement and assigning the responsibility to a staff group to development explicit knowledge from the implementation to educate other groups.

Third Quadrant (III) - Explicit knowledge - Breakthrough improvement  (Strategic leap)


These improvement require involvement of top management and  a specialist group to acquire the knowledge and implement. The employees at the lower level have to learn and acquire skills imparted by the external suppliers of technology and equipment.

Fourth Quadrant (IV) - Tacit Knowledge - Breakthrough improvement


Authors Hayes et al gave the opinion that break through improvements through tacit knowledge are difficult to achieve. Such breakthrough improvement has come in Toyota Motors. But this requires sustained effort to increase the level of expertise in many  lower level executives and operators. It will not create heroes who can be specially identified. The authors gave the opinion in western world, where heroes are worshipped, the approach may not take root.


Industrial Engineering is System Efficiency Improvement. Do You Want 55% Increase in Efficiency in the Next 5 Years? Become Digital Manufacturing Champion. 
Learn - How to Become Industry 4.0 Digital Manufacturing Champion.
















Ud. 8.7.2022
Pub 19.5.2022