Tuesday, October 14, 2025

W. Edwards Deming - Biography - Ideas - Birthday - 14 October


Biography



https://web.crc.losrios.edu/~larsenl/ExtraMaterials/WEDeming_shortbio_Ff4203.pdf

https://www.britannica.com/biography/W-Edwards-Deming





https://business.columbia.edu/demingcenter/about/deming-philosophy-and-principles



https://www.emerald.com/jmh-arc/article/5/8/434/231201/William-Edwards-Deming-the-man


https://asq.org/quality-progress/articles/the-legacy-of-w-edwards-deming?id=bdbc9d974ad7471db42609ccabcd76d9&srsltid=AfmBOoqSElOHeHbba6hi5nR5hl2TLdFkWLxov21dj-M6IQUXzLZcVBuo

https://academic.oup.com/jrsssa/article-pdf/157/3/497/49760204/jrsssa_157_3_497.pdf

https://www.nytimes.com/1993/12/21/obituaries/w-edwards-deming-expert-on-business-management-dies-at-93.html

https://apps.dtic.mil/sti/tr/pdf/ADP001590.pdf

https://medium.com/@rnoyes1/the-years-with-deming-48cd4438d799


W. Edwards Deming: The 14 Points

7 May 2014
https://www.youtube.com/watch?v=tsF-8u-V4j4

Productivity improvement will not increase standard of living? Is it said in a hurry to promote what they want to promote.


_____________ _____________


1990 Western CT State University February

Theory of Profound Knowledge
_____________

http://vimeo.com/13272516
_____________




Deming Improvement Cycle (Plan, Do, Check, Adjust) - Industrial Engineering Application

Deming Improvement Cycle (Plan, Do, Check, Adjust) - Industrial Engineering Application

Quality, Productivity, and Competitive Position by Deming, W. Edwards - Book Information

The Deming Guidelines for Quality Management - Improve Processes for Productivity and Quality

The Deming System of Profound Knowledge® (SoPK) - Industrial Engineering View

Deming On Management, Quality and Productivity

The Deming Paradox: Operationally Rigorous Companies Aren't Very Nice Places to Work
By Cedric Chin
https://commoncog.com/deming-paradox-operational-rigour/


Updated on 14 October 2025,  26 June 2020, 3 February 2012













Sunday, October 12, 2025

New Technologies and Industrial Engineering


Industrial Engineers have to lead their organizations in understanding and adopting new technologies. - Narayana Rao. 26.7.2025



Latest New Technology - Agentic AI


"Achieving such impact, however, requires more than implementing new technology." - I agree with the statement. The company may initiate use of technology on pay per use basis or ownership basis. Spread of usage requires application in different processes or workflows. Industrial engineers are specialists in incremental process improvement for productivity gains. Hence using new technology in an existing process comes under their job role. - Narayana Rao, 12.10.2025.  Comment by Narayana Rao on Stephan Bloehdornta's LinkedIn post.


Stephan Bloehdornta, Partner, IBM Consulting | Scaling Data & AI for Industrial Applications


AI - Powering the Transformation of the Industrial Sector


An increasing number of organizations across discrete and process manufacturing, life sciences, and energy & utilities are starting to adopt Agentic AI to boost productivity, to change customer interaction, and to create new products & services. Early outcomes point to the broader potential of agentic AI to drive significant operational and market gains. Achieving such impact, however, requires more than implementing new technology - it calls for clear direction, effective cross-functional alignment, and thoughtful redesign of workflows, talent structures, and governance models. 

https://www.linkedin.com/posts/narayana-rao-kvss-b608007_ai-agenticai-industrial-activity-7383170112729726976-az0I

https://www.linkedin.com/posts/stephan-bloehdorn_ai-agenticai-industrial-activity-7382418349592428544-1UdT

Agentic AI in banking. - EY


Olexander Tokunov

  

Senior Manager @ EY | Technology Consulting | Financial Services | Transforming Challenges into Opportunities: Visionary Leadership & Boundless InnovationSenior Manager @ EY | Technology Consulting | Financial Services | Transforming Challenges into Opportunities: Visionary Leadership & Boundless Innovation

2 weeks ago 


𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 𝐢𝐬 𝐦𝐨𝐯𝐢𝐧𝐠 𝐟𝐫𝐨𝐦 𝐝𝐞𝐦𝐨𝐬 𝐭𝐨 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧𝐬 𝐢𝐧 𝐛𝐚𝐧𝐤𝐢𝐧𝐠. 


The latest MIT Technology Review x EY study makes one thing clear: the next wave of value won’t come from bigger models - it will come from better operating models.


𝐖𝐡𝐚𝐭 𝐭𝐡𝐞 𝐬𝐭𝐮𝐝𝐲 𝐬𝐚𝐲𝐬:

🔹𝐀𝐝𝐨𝐩𝐭𝐢𝐨𝐧 𝐢𝐬 𝐫𝐞𝐚𝐥: 70% of banking leaders say they’re already using Agentic AI to some degree (16% deployed, 52% piloting).

🔹𝐂𝐥𝐞𝐚𝐫 𝐬𝐭𝐫𝐞𝐧𝐠𝐭𝐡𝐬 𝐭𝐨𝐝𝐚𝐲: highly capable at fraud detection (56%) and IT/security risk management (51%), with material gains in customer experience and efficiency (41% each).

🔹𝐓𝐡𝐞 𝐟𝐫𝐢𝐜𝐭𝐢𝐨𝐧 𝐩𝐨𝐢𝐧𝐭𝐬: governance, risk and compliance is the top barrier (63%), followed by skills gaps (58%) and data quality/integration (54%).

🔹𝐓𝐫𝐮𝐬𝐭 𝐡𝐞𝐚𝐝𝐰𝐢𝐧𝐝𝐬: only 42% trust financial services firms to manage AI in their best interests; 30% actively distrust; just 14% expect “trust” as an outcome from Agentic AI.


𝐒𝐨, 𝐰𝐡𝐚𝐭’𝐬 𝐭𝐡𝐞 𝐫𝐞𝐚𝐥 𝐭𝐞𝐬𝐭 𝐟𝐨𝐫 𝐛𝐚𝐧𝐤𝐢𝐧𝐠 𝐥𝐞𝐚𝐝𝐞𝐫𝐬?

It’s not how fast you pilot new AI tools.


It’s whether you’re willing to:

✅Rethink your processes from first principles.

✅Invest in data as a strategic asset, not just a compliance checkbox.

✅Build governance that’s proactive, not just protective.

✅Reskill your teams to challenge and supervise AI, not just operate it.

✅Enable governed citizen development with approved toolkits, role-based data access, and audit trails.


Start assistive. Earn autonomy as your operating model matures.


https://www.linkedin.com/posts/olexander-tokunov_reimagining-the-future-of-banking-with-agentic-activity-7376148446250184704-9Hbj




 2025 - A to Z Industrial Engineering - Blogging Theme - Industrial Engineering Benefits the Society and Organizations




Industrial Engineering - Systems/Processes/Methods Improvement Using Engineering solutions creatively.

Industrial Engineering - Prime focus - Productivity Improvement.

Productivity improvement gives National Prosperity and Organization Prosperity.



Source: https://www.linkedin.com/posts/national-productivity-council-gandhinagar_cartoonseriesabr10-productivity-economicgrowth-activity-7301162658278379520-eyyl


Industrial Engineering - Cost Reduction through Productivity Improvement.


Productivity Improvement Using  Productivity Science - Productivity Engineering - Productivity Management.


Industrial Engineers  have to be pioneers in New Technology Adoption.

Principles of Industrial Engineering -Taylor, Gilbreth, Emerson, Mogensen, Barnes, Maynard. IISE Conference Presentation Video - 9905+ views.



Technology Monitoring - Applied Industrial Engineering

EIRMA (1999) working group report.

Technology monitoring is:  “the identification and assessment of technological advances critical to the company’s competitive position and of detecting changes and discontinuities in existing technology; new emerging technologies with potentially significant impact on the company’s products and market and its production and business processes.”

Industrial engineers have to specifically note, "the identification of   new emerging technologies with potentially significant impact on the company’s products and market and its production and business processes.”

Industrial engineers have to do product industrial engineering, facility industrial engineering and process industrial engineering.

To identify new technologies as they are ready for commercialization, industrial engineering, a discipline and profession connected to engineering processes and activities of the organization has to do technology monitoring to protect the productivity advantage of the organization.

New Technology -  Understanding, Analysis and Improvement by Industrial Engineers


Understanding the New Technology - Engineering Economic Analysis - Productivity Assessment and Improvement


"Industrial engineers design, improve, and install integrated systems of people, materials, information, equipment, and energy." Key among these things we do are improvement and integration. "Industrial engineers are involved in products, processes, and services, from "hard-core" manufacturing to health care and insurance"

Source: "Technology's Impact on the Future of Industrial Engineering"
C. Patrick Koelling, Mario G. Beruvides, and Kriengkrai Tankoonsombut,
Computers ind. Engng VoL 31, No. 1/'2, pp. 5 - 8,1996
19th International Conference on Computers and Industrial Engineering

Industrial engineering improves productivity of production and other engineering systems through redesigning products, processes and optimizing using mathematical and statistical methods. It also uses economic analysis to identify and reject non economic engineering ideas or designs. It measures work, cost and productivity to understand the current performance of engineering systems. It redesign human work to improve productivity. It examines the productivity impact of  management methods and redesigns them also. It also takes responsibility for productivity management of the organization. So whenever a new technology emerges in an organization or a potentially useful technology emerges in the environment industrial engineers have the responsibility to understand it, analyze it and improve it.

Understanding the New Technology


The is the starting point. Because industrial engineers are responsible for productivity measurement and improvement of the use of new technology in the organization, they have to begin understanding it the moment they become aware of it. They have to start reading the articles, the brochures distributed by the sellers of the technology or developers of the technology, attend seminars on technology, and utilise the opportunities to observe the technology in use etc.  

Using the New Technology on Trial Basis

Engineering Economic Analysis


The next step after adequate understanding is the engineering economic analysis. Whenever a new technology appears, industrial engineers have to identify the defender technology in the organization and see whether in the economic analysis the new technology wins or the defender technology wins. If the new technology wins, they have to recommend its adoption. To do engineering economic analysis, industrial engineers have to estimate the costs and benefits of the new technology and defender technology. This forces them to go into more details of the new technology and as they complete the engineering economic analysis, they will have much better grasp of the new technology. 

In case the defender technology wins, the adoption of the new technology is postponed. But industrial engineers have to monitor developments in new technology that are going to improve cost parameters of the new technology. So, industrial engineers have redo engineering economic analysis of new technology versus defender technology periodically to check and find time at which the new technology becomes economically the appropriate choice. In this exercise, industrial engineers become more and more conversant with the technology.

Productivity Assessment and Improvement


Engineering economic analysis is a strategical level analysis in the problem of technology adoption. As the technology is being implemented in the organization various problems crop up and technology implementors come out with various adhoc solutions to solve the teething problems that are more location specific. When  the production bugs are sorted out and commercial production starts, the project of technology implementation is declared success and closed. Now the responsibility of running the facilities with the new technology is transferred to the operations function. Industrial engineers now have the responsibility of recording the actual processes being used by the operations people and evaluate the productivity implications of them. This particular studies can be categorised as "operations industrial engineering analysis." Operation analysis is the term used by H.B. Maynard to study the production process of a component or product. It involves the study of every resource used in the production process to identify waste, come out with an engineering idea to eliminate the waste and do the required design or arrange for the required development and design so that low cost alternatives that eliminate the waste are implemented in the process. This is the productivity improvement contribution by industrial engineers. Productivity improvement studies of a process are to be conducted periodically and also whenever IEs feel that there is a technological development that has the potential to improve productivity of a process. This makes the industrial engineering department responsible for monitoring technology developments that have productivity benefits for the organization.

Generative AI.

One of the new technologies of the current day is Generative AI.


What are the top 100 #GenAI use cases? This updated Harvard Business School report refreshes the 2024 inventory.


Top 5:

1. Therapy / companionship (2024 - 2) 

2. Organize my life (2024 - N/A) 

3. Find purpose (2024 - N/A)

4. Enhance learning (2024 - 8)

5. Generate code (pros) (2024 - 47)

https://www.linkedin.com/posts/ctkraft_top-100-ai-use-cases-ugcPost-7316276856884723712-bCOl


The shift in use cases in the last year, particularly in the movement in the personal space. 


https://www.linkedin.com/posts/anthea-roberts-a8596b142_this-is-really-interesting-amazing-to-activity-7316587563589279744-UC2c


McKinsey Technology Trends Outlook 2025

July 22, 2025

Report

Fifth edition

https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-top-trends-in-tech


3D Printing - Additive Manufacturing Industrial Engineering - Productivity Science and Engineering


3D Printing - Additive Manufacturing Industrial Engineering - Productivity Science and Engineering


Design for 3D Printing - Additive Manufacturing - Product Industrial Engineering

3D Printing Materials

3D Printing - Production Applications

Additive Manufacturing - 3D Printing - Human Effort Industrial Engineering


2024
McKinsey Technology Trends Outlook 2024
July 16, 2024  Report


Industrial Engineering - Introduction

Industrial engineering Principles, Methods Tools and Techniques

Liked Some Aspects of the Job Description that Emphasize Learning About New Technology and Products as well as Accessories.

Tafadzwa Nyemba 
Production Engineer | Agricultural Mechanisation Expert | Agri Tech Enthusiast |

Department of Agricultural Engineering Mechanisation and Farm Infrastructure Development.
Marondera, Mashonaland East Province, Zimbabwe


Mechanisation Engineer
Department of Agricultural Engineering Mechanisation and Farm Infrastructure Development · 
Jul 2022 - Present 
Marondera, Mashonaland East, Zimbabwe · 


o Responsible for 32,230km2 of agricultural land by facilitating availability of farm machinery and latest technologies to farmers (small scale - large scale) in 9 districts within Mashonaland East Province, appraiser of 6 technical staff and senior management reporting.

o Conducting research and development of agricultural machinery and accessories to ensure incorporation of best practices , latest trends and technologies to enable decision making.

o Planning for the establishment , maintenance and supervision of an effective and viable tillage program for the Agricultural sector. 

o Testing farm power tools , implements and machinery related technologies and promoting their transfer to uptake pathway for adoption and scaling up.

o My comprehensive end-to-end responsibility encompass every facet of farm power and machinery within the province, disseminating latest information on farm machinery and staying updated on emerging AgTech trends , research and innovations.




An Interesting Job Description Portion.

o Conducting research and development of agricultural machinery and accessories to ensure incorporation of best practices and latest trends and technologies in farm processes. 

o Staying updated on emerging AgTech trends, research and innovations.

o Testing farm power tools, implements and machinery related technologies and promoting their transfer to processes. 

o Disseminating latest information on farm machinery.


I asked this question in LinkedIn Groups on 5.12.2024

As an Industrial Engineer Do you scan and become aware of new products and technologies to improve processes?










------------------------------------------



New Technologies and  Industrial Engineering


Earlier Articles


https://nraoiekc.blogspot.com/2025/04/advances-in-engineering-and-industrial.html


https://nraoiekc.blogspot.com/2017/05/new-technology-understanding-analysis.html


https://nraoiekc.blogspot.com/2020/09/new-machine-tools-productivity.html




An approach to boosting US labor productivity

McKinsey Global Institute

May 25, 2023 | Interview

https://www.mckinsey.com/mgi/our-research/an-approach-to-boosting-us-labor-productivity


What we have to do is use the right technology tools to actually change business processes in a way that improves productivity. - Beth Cobert

The above responsibility is with industrial engineers.



What we have to do is use the right technology tools to actually change business processes in a way that improves productivity.


You can modify the above statement by using new technology in place of the right technology.


What we have to do is use the new technology tools to actually change business processes in a way that improves productivity. The responsibility is with industrial engineers.





Post Included In

Modern Industrial Engineering - LinkedIn News Letter - May 2025 Issue. 

Topic of Focus - Current Issues of Interest in Industrial Engineering to Make it Effective.

https://www.linkedin.com/pulse/current-issues-interest-industrial-engineering-may-2025-kvss-1hekc


A to Z of Industrial Engineering - Blogging Challenge April 2025 -  Posts

https://nraoiekc.blogspot.com/2025/02/a-to-z-of-industrial-engineering.html


Existing Collection of Articles

A to Z of Industrial Engineering - Principles, Methods, Techniques, Tools and Applications

https://nraoiekc.blogspot.com/2018/06/a-to-z-of-industrial-engineering.html

------


Ud.  12.10.2025, 26.7.2025

Pub. 16.4.2025


Friday, October 10, 2025

Research and Development Papers on Toyota Production System - Bibliography



2022
Toyota Way - As Described by Toyota Officially

2020

Toyota Way 2020 / Toyota Code of Conduct

Company Information - Vision & Philosophy

https://global.toyota/en/company/vision-and-philosophy/toyotaway_code-of-conduct/



2012
The Birth of Lean: Conversations with Taiichi Ohno, Eiji Toyoda, and Other Figures who Shaped Toyota Management


Koichi Shimokawa (Editor), Takahiro Fujimoto (Editor)

Lean Enterprise Institute, 04-Mar-2012 - Business & Economics - 300 pages
This is an honest look at the origins of lean, written in the words of the people who created the system. Through interviews and annotated talks, you will hear first-person accounts of what these innovators and problem-solvers did and why they did it. You'll read rare, personal commentaries that explain the interplay of (sometimes opposing) ideas that created a revolution in thinking.

Google Book Link with Preview Facility
http://books.google.co.in/books?id=SDYLbXoW_EcC

2012
Toyota Motors - History of Productivity

Lessons from Toyota’s Long Drive

by Thomas A. Stewart and Anand P. Raman.

Two HBR editors interviewed Toyota’s president, Katsuaki Watanabe, and several top executives. 

From the HBR Magazine (July–August 2007)

https://hbr.org/2007/07/lessons-from-toyotas-long-drive



2001
Rationalizing the Design of the Toyota Production System:
A Comparison of Two Approaches
J. Won, , D. Cochran, , H. T. Johnson, , S. Bouzekouk, B. Masha

Production System Design Laboratory, Department of Mechanical Engineering
Massachusetts Institute of Technology, Cambridge, Massachusetts, USA, and
School of Business Administration, Portland State University, Portland, Oregon, USA


Abstract
This paper examines two recent attempts to develop frameworks to explain the Toyota Production System (TPS).
In Decoding the DNA of the Toyota Production System, Spear and Bowen assert that the design, operation and improvement of manufacturing systems can be captured in four basic rules.
In A Decomposition Approach for Manufacturing System Design, Cochran et. al. show how a Manufacturing System Design Decomposition (MSDD) can express the relationships between the design requirements and corresponding solutions within a manufacturing system.
This paper compares and contrasts how each of these approaches incorporates the requirements of successful manufacturing system design.
http://www.sysdesign.org/pdf/paper15.pdf


1999

Decoding the DNA of the Toyota Production System
Steven Spear and H. Kent Bowen
Harvard Business Review, THE SEPTEMBER 1999
https://hbr.org/1999/09/decoding-the-dna-of-the-toyota-production-system

 The Evolution of a Manufacturing System at Toyota


Takahiro Fujimoto

Oxford University Press, 12-Aug-1999 - Business & Economics - 400 pages


What is the true source of a firm's long-term competitive advantage in manufacturing? 

Through original field studies, historical research, and statistical analyses, this book shows how Toyota Motor Corporation, one of the world's largest automobile companies, built distinctive capabilities in production, product development, and supplier management. Fujimoto asserts that it is Toyota's evolutionary learning capability that gives the company its advantage and demonstrates how this learning is put to use in daily work.

https://books.google.co.in/books?id=KBm8F9cI8OYC

https://nraoiekc.blogspot.com/2021/07/the-evolution-of-manufacturing-system.html


Relations Between Safety and Productivity
Kazuaki Goto & Shingo Kato
*Assembly Dept., Tsutsumi Factory of Toyota Motor Co.*
1999

1. Outline of Tsutusmi Works
Established: 1970 (28-year operation as a passenger car factory) Capacity: 400,000 - 500,000 cars per year The Number of Employees: 5,600 employees in the factory, including 1,500 employees working for the assembly department. The factory has been functioning as a mother plant of Toyota Kentucky factory in the USA and Derby factory in England
http://www.jniosh.go.jp/icpro/jicosh-old/english/osh/jisha-nsc/toyota.html


1997

1997

Guiding Principles at Toyota

Company Information Vision & Philosophy

https://global.toyota/en/company/vision-and-philosophy/guiding-principles/?padid=ag478_from_right_side


ud. 10.10.2025
Pub. 27.2.2015











Analysis and Improvement of Flow - Delays in the Processes - Part of Flow Process Chart Analysis

Lesson 156 of  Industrial Engineering ONLINE Course.

Sub-Module - Analysis of Flow - Delays in Processes


Analysis of delays was neglected in IE curriculums based on Motion and Time Study. Do you agree?

In IE curriculums, motion and time study got a lot of attention. May be the other IE related subject is facilities planning.

 Many other subjects were basically rooted in other areas and management. Due to this curriculum strategy, IE became a weak discipline.  IE must first concentrate on productivity science and productivity engineering.

Productivity Engineering aims at improvement of engineering contents of systems, processes and operations first. Process chart approach in industrial engineering was developed by Frank Gilbreth. But its use was discussed by him in the context of motion study. Motion and Time study books also explained the use of process chart and further charts link man-machine chart and two handed process chart in the area of motion study. Other IE study areas became underdeveloped.

Do you agree?


Flow is one of the five principles of lean systems.  The other four are specify value, lineup value-creating actions in the best sequence,, conduct the actions without interruption, pull (do actions only when someone requests them), and improve the actions or perform them more and more effectively and efficiently.

Lean thinking provides a way to do more and more with less and less - less human effort, less equipment, less time and less space-while coming closer and closer to providing customer with exactly what they want.


Lesson

156 - Analysis of Flow -  Delays in the Processes - Part of Flow Process Chart Analysis

157 - The SMED System: Shigeo Shingo's Detailed Explanation

158 - Zero Defect Movement and Six Sigma Method (Elimination of inventory and delays)

159 - Total Productive Maintenance - Japan Management Association ( Zero Breakdowns - Elimination of inventory and delays)

160 - Quality Management and Total Quality Management ( Zero Defects - Elimination of inventory, rework and delays)

161 - Learning to See: Inventories (Delays) Between Processes - Value Stream Mapping


Industrial engineer analyzes each process into its ultimate, simple elements, and compares each of these simplest steps or processes with an ideal or perfect condition and modifies the element appropriately. - F.W. Taylor - Hugo Diemer.

Prof. Hugo Diemer  - Taylor's Industrial Engineering

https://nraoiekc.blogspot.com/2020/05/prof-hugo-diemer-taylors-industrial.html


For process improvement, process chart method was explained by F.W. Gilbreth in 1921. The process chart method was included in motion study text books Industrial engineering authors and it was not made an independent subject. It is a weakness of industrial engineering even today. Even though AIIE, started by the active involvement of Georgia Tech. faculty defined IE as Design, Installation and Improvement of Systems, it did not develop proper curriculum for IE in any of these three areas. Process improvement could have been made an independent area. That would have developed the process chart method into a detailed procedure that would have resulted in improvement of material processing operations, inspection operations, transport operations, storage operations and production planning operations.

In this online course, in process industrial engineering module, lessons 78 to 118 discuss analysis and productivity engineering of material processing activities. Lessons 126 to 132 explain inspection operations analysis. Lessons 136 to 141 focus on analysis of transport operations. In lessons 146 to 149, storage and warehousing operations are covered. Lesson 156, the current lesson starts discussion of analysis of delays.

Value stream mapping, a chart explained in detail by Rother and Shook highlights inventory between processes, which is basically delay in material flow.

Value Stream Mapping activity done with stick-notes

1. Identify the steps of  the process using stick-notes. For  the steps that are Non-Value Add use pink sticky-notes, For Business-Value-Add steps use light blue.  For Value-Added steps use light green-and also show a tick.

2.      Determine the step process time and write it on a dark green note below the step. 

3.      Find the wait or delay time between steps and note it on red sticky-notes. 

Paul Deane

https://www.linkedin.com/posts/paul-deane-85844789_value-stream-mapping-activity-done-with-stick-notes-activity-6984396670855774209-7Svk 


I now feel production planning and control is a component of process chart analysis as far as process improvement is concerned. Industrial engineers have to improve production planning routines as part of process chart analysis. Such an emphasis is not there in IE curriculum, as process chart is method is taught in work study or time and motion study courses.


Shigeo Shingo provided the description of elimination of delays in Toyota Production System (TPS) with generalized principles.

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 - Storage due to Expected Difference between supply capacity and demand resulting from unbalanced flow between processes  (engineering)

C storage - Cushion Stock - 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).

Principle
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

synchronization.
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 Stocks 

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


Eliminate Cushion stocks

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.
Total Productive Maintenance - Japan Management Association


Use better inspection processes:
Self Inspection.
Successive Inspection.

Enhancement to inspection through Poka Yoke


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
The SMED System: Shigeo Shingo's Explanation


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.

SMED
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.




Bibliography - Analysis of Delays


ANALYSIS OF PROJECT CONSTRUCTION DELAY

https://core.ac.uk/download/pdf/304293989.pdf


II : Time Waste And Delays In Construction Projects

https://www.nicmar.ac.in/pdf/2012/Oct-Dec%202012/07%20Communication%20II%20-%20Time%20Waste%20And%20Delays%20In%20Construction%20Projects.pdf


What Is a Bottleneck and How to Deal With It?

Bottlenecks are the reason why your projects are costly and slow. Learn how to find and resolve process bottlenecks to establish a smooth, predictable flow.

https://kanbanize.com/lean-management/pull/what-is-bottleneck


Identifying the Root Causes to the Delays and Exceptions in Your Processes

https://info.aiim.org/aiim-blog/identifying-the-root-causes-to-the-delays-and-exceptions-in-your-processes


Predicting and Diagnosing Delays in a Workflow Environment

http://eia.udg.es/~apla/workflow.pdf


Investigating the impact of lean philosophy for identification causes of  delays in the processes in the entire system. 

https://www.diva-portal.org/smash/get/diva2:1442318/FULLTEXT01.pdf


Analysis of time delays - scheduled and unscheduled.

https://www.tandfonline.com/doi/full/10.1080/00051144.2019.1687194




Review of Delay Analysis Methods

https://openconstructionbuildingtechnologyjournal.com/VOLUME/3/PAGE/81/PDF/



Study of Flight Departure Delay and Causal Factors

https://www.hindawi.com/journals/jat/2019/3525912/


DD Form 1723, Flow Process Chart, September 1976  

DIFFERENCE. TIME. NO. NO. 11. ORGANIZATION. OPERATIONS. TRANSPORTATIONS. INSPECTIONS. DELAYS. STORAGES. DISTANCE TRAVELED.

https://www.esd.whs.mil/Portals/54/Documents/DD/forms/dd/dd1723.pdf


developing computer-based schedule delay analysis methods

https://journals.vgtu.lt/index.php/JCEM/article/download/3925/3333


Work Simplification - Navy Training Course

https://books.google.co.in/books?id=4W7tq_D6lRgC&pg=PA43#v=onepage&q&f=false

Flow Process Charting - Air Force Management Engineering Training

https://books.google.co.in/books?id=IrME8HT-v8kC&pg=PA91#v=onepage&q&f=false


A Robust Aggregation Approach To Simplification Of Manufacturing Flow Line Models


Paul Savory, University of Nebraska at LincolnFollow

11-1993

Presentation: presentation slides for doctoral defense presentation

https://digitalcommons.unl.edu/imsepresentations/1/






Ud. 10.10.2025, 24.6.2023,  26.5.203, 27.6.2022

Pub 8.10.2021






Thursday, October 9, 2025

Supply Chain Industrial Engineering - Some Ideas




SUPPLY COST REDUCTION

Operational leaders know that strong supplier management drives plant performance.

Six levers, including benchmarking, dual sourcing, and risk sharing reduce cost and improve reliability.

https://www.linkedin.com/feed/update/urn:li:activity:7382411216800899072




Managing the Enterprise Supply Chain -  Industrial Engineering Management Chapter XI of the E-book





2.  On Business the quest for revenue, costs, margins, service rate, competency and growth.

 From all the existing corporate business objectives, the main priority goes to the objectives regarding “generate revenues at the lowest production- marketing–sales-distribution and operational corporate administration cost with the highest operational margins possible” These set of objectives does not go alone but in parallel with the objectives regarding “best Industry competitive level, customers and/or clients’ service rate, brand image, finish goods quality perception, optimal geographic numerical trade coverage; including hypermarkets, supermarkets, mini- marts, convenient stores, traditional mum and pap trading shops, concessionaires, wholesalers and stockist”

3.  The sense of competency and the need to continuously grow, determines the corporate leadership focus on strategies, and their implementation based on sound policies and operating instructions or company rules and regulations 

7.  There are production cycles, sales seasonality, holidays seasons, but the continuous changes and demands for higher productivity, competitive prices, new packaging designs, product formulations, the introduction of new technologies, equipment and improvements in the corporation to improve their ability to remain competitive, is the force behind all new events and developments to happen 

It is essential to understand the entire system to be able to coordinate all on going projects, come up with new creative proposal, monitor the entire operation, inspect the current facilities status, measure key ratios and check that all index point to the desired direction as per the annual business plan


9.  Talk to a person regarding the job as best as you understand it. When you are dealing with someone regarding the operational cycle activities, you are doing your job, by means of communicating and learning the activities status, to see that all actions are within the planned schedule Operations. Specifications must be well documented and described as operational processes, together with all related job descriptions and job candidate’s profile, besides a clear description of functional goals, objectives and required strategies to be able to implement all actions by means of projects or policies and establish the system that consistently achieve the corporate goals and objectives All operation technical specifications most be updated in a systematic manner, so that all measurements are accurate

10.  Middle Management The job is to secure and guarantee that the operational cycle is completed without disturbances, over and over, time after time. They have  to get involved in new developments, and other projects and skill development programs But first middle managers have to know the system in great detail.   Operations requires you to make a decision based on the best information available on hand and mix of your best experiences and common sense, plus a bit of sixth sense

11.  Use your job ownership responsibility, sense of urgency and have the guts to make that decision and make it happen now. Always be prepared for the worst scenario. Secure a full technical knowledge in all subjects related to the enterprise business and industry, learn each operation and make a full assessment of it in the most detail possible to be able to foresee further improvements or faults within the operation system specifications design in place.

13.  Supervisors, coordinators, foreman, intensive and skilled Labor The most important objective and related issues in the mind of a supervisor, coordinator, foreman, admin staff, intensive and skilled labor is to keep the enterprise finished goods flowing at all times throughout the system as per planned production or delivery schedules to customers in all distribution channels. 90% of their job’s attention is to fulfill this objective; 9% is to be dedicated to manage difficult situations, finding best solutions on hand and making those effective decisions with actions geared to keep the system within the process specifications

14.  The last 1% is to be dedicated to take care of any dispute among their subordinates, regarding discrepancies due to personality conflicts, differences in character and emotions as well as other personal issues leading to dislike or hate among people in conflict, otherwise their involvement will lead to the firing of the people in conflict or it will amplify further among them the existing emotional problem 

15.  What the supervisors are to do at all times is to make sure that each process component, within their area of inspection works as per their well-documented process specification. That all equipment works in perfect conditions, that required data is available, reliable, in real time and easy to retrieve and update. All required materials are to meet the quality specifications as per design, as well as scheduled volumes in full and on time, with highest acceptance yields and production rates as per specifications

16.  When any system component such as equipment, materials, information or others fail to deliver as per specifications, or anyone fails to perform within standard productivity rates; it is the supervisor responsibility to make decisions to correct it with effective actions; technical staff, skilled labor, intensive labor and other related staffs are to be committed and perform as per the job specifications Supervisors, coordinators, foreman and admin staffs have to know by heart their system process specifications and their components link sequences

17.  They have to know everyone involved in every step of their process, and be a master in every related job task, technically, operational, data source integrity, and administrative documents flow, as it is in this way that the supervisor or direct subordinates can take an effective role in the inspection activities, issue standard reports to all concerned parties, in full descriptive details and within the expected shift time frame, focused on the objective, situation, complication, resolution, and action taken or recommended to middle management

18.  Administration Staff:  With the advancements on office automation processes by means of ERP software systems or specialized business software applications, the admin staff jobs have become technical, requiring complete business process knowledge. Good skills in customer service communications and a positive working attitude to render service in full and on time to the entire enterprise computer system network. It is essential that the administration staff understand the complete business process cycle, and working schedule to take responsibility on the accuracy and integrity of the data

19.  When the staff lacks knowledge on the documents data processing mechanics, it is hard to detect the bugs in the system; falling in the guessing game of trying to locate the cause of inconsistencies coming from the computer system Some problems occur at the Data Base level, while others comes from the data process sequence linkages and others as result of software patches side effect The feedback given by the admin staff to the computer analyst is very important as most often the analyst do not know the enterprise system Most computer software systems often lack full documents data processing requirements and some patches are made to the standard software, or some adjustments are made to the software settings to closely meet the enterprise documents data processing requirements, creating data inconsistencies

24. let’s look for the company’s Human Resources management gaps within the following criteria’s •job security –provides the perception that the company is financially stable, with sales growth and good corporate brand image –have a permanent job position rather than a temporary one -job re-structuring is always an open option to reduce labor •job satisfaction –sense of belonging, added responsibility and achieving a set of personal goals on quality, quantity and cost reductions

25.  •job enrichment –job improvement awareness through skills developments, positive attitude, self respect and sense of job ownership •remuneration –industry market benefits, salaries and wages –over time and annual company performance bonus -company’s annual productivity awards •social environment –dressing code culture, food court, communication –politeness, friendliness and accepted social manners

26.  •security, safety, sanitation and health –facilities sanitation standards –good manufacturing practices communication –company events (manufacturing, marketing-sales) –general social and sport events –company’s policies, rules and regulations •management –functional organization –clear line of command and job profile –company moral values –productivity targets

36.  OTHER TOPICS OF INTEREST On Goals Revenue Vs Cost Vs Productivity Vs Infrastructure Vs Technology Vs Industry On Objectives Financial Ratios, Performance Indicators, Business Development Programs On Strategies Market Segment, Market Channels, Market Share, New Platforms Organization Enterprise Resources Planning Vs (Matrix, Functional, Modular) Operations Flow Total Supply Chain Operational Flow, Proceedings, Rules & Regulations MIS & B2B ERP General Business Software, Web site Technology, Intranet, Internet

37.  E-Vendors Electronic documents handling networking & Efficient Consumer Response E-Customers Electronic documents handling networking & Efficient Consumer Response Inventory Planning Back to back PO's, Rolling Forecast base PO's, PO's life cycle Concept SQE & IQA Manufacturing Processes Auditing, material's BOM specifications, feedback Freight Forwarding Import + Export Custom Clearance, Sea & Air carriers, land transport tariffs Cross-dock Center Excess stocks Vs Continuous replenishment operations break-even point Distribution Center Service level Vs Warehousing and Distribution operations break-even point Layout Design Distribution Center, Ambient – Chilled – Frozen – Clean Room Factory Raw Materials Warehouses, Ambient – Chilled – Frozen – Clean Room Finished Goods Warehouses, Retail Warehouses, Ambient – Chilled – Frozen Depots

38.  Storage Systems Pallet Racking Selective – Drive in – Push Back – Continuous Flow – Double Deep, Multi tier shelving systems, Mezzanine Floors Conveyor Systems Pick to light, Consolidation flows, Telescopic, Multi level feeders Co-packing Kitting, sorting, size grouping and re-packing within an assembly line mode City Deliveries Delivery routes mapping, schedule planning, road auditing, and vehicles’ specs Inter City Deliveries National Distribution transportation break-even point routing, vehicles’ specs Warehouse Network Multiple DC's and warehouses National Distribution break even point Storage Layout Ambient temperature, freezer, chilled, air conditioned, bulk & item picking Storage Systems VNA, selective, drive-in, life flow, multi-tier shelving, flow racks, block stack

39.  Picking Systems Loose case, loose item, full pallet, pick to light, pick to conveyor, sorting Marshaling Dispatch lines, dockyard traffic control, checking, documents control Receiving Receiving line traffic control, inspection, document control, put away Trucks parking yard trucks traffic control, Materials Handling Men driven electric vehicles, conveyors, forklift trucks, barcode scanners Integrated Costing Fixed & Variable activity base cost structure spread sheets Integrated Pricing Volume & Added value activity base price structure spread sheets

40.  3rd party Operators Contractual bases, hiring situations, minimum operational specifications Budget Planning Revenue Forecasting, Fixed Assets & Manpower Investments, Cash flow Operations Research Supply Chain System Objectives Simulation, modeling, analysis, projections Prospective Planning Strategic Decisions in the Business Process, Rise and fall of an Enterprise Professionals Profile Assessment, career style, academic background and experience Professional Services Consultancy rules of engagement, diagnosis, findings, actions




https://www.slideshare.net/LuisCabrera35/managing-the-enterprise-supply-chain-industrial-engineering-management-xi-ebook


Ud. 10.10.2025

Pub. 18.10.2021


Benjamin Leibowicz - ISE - Energy Systems - Industrial Engineering

 

2025

What is an ideal coursework portfolio for gradstudents studying energy (especially macroenergysystems, energy policy analysis, etc.) from an operationsresearch perspective? 


Here is one that I came up with while preparing to discuss this topic with my research group. While this portfolio is designed to fit our course offerings and PhD program requirements at The University of Texas at Austin.






My comment on the post.
It is ORIE of Energy. I think at least one subject is named energy industrial engineering. Energy is part of IE definition.

Energy Systems (ES) Division Outstanding Young Investigator Award.
2020 Winner
Benjamin Leibowicz
University of Texas at Austin



Benjamin D. Leibowicz
Associate Professor & Banks McLaurin Fellow in Engineering | University of Texas at Austin




The importance of capturing power system operational details in resource adequacy assessments
Journal Article · 06 December 2023 · Electric Power Systems Research
DOI:https://doi.org/10.1016/j.epsr.2023.110057· OSTI ID:2467427
Leibowicz, Benjamin D. 
 [1]; 
Zhang, Nan 
 [1]; Carvallo, Juan Pablo [2]; 
Larsen, Peter H. 
 [2]; Carr, Thomas [3]; 
Baik, Sunhee 
 [2]
+ Show Author Affiliations
Traditional methods for assessing the resource adequacy (RA) of a power system are becoming obsolete due to emerging trends such as the increasing deployment of variable renewable energy and storage. Consequently, analysts are recommending that RA be assessed using a Monte Carlo simulation approach that models chronological power system operations over many instances of possible operating conditions. However, this approach is necessarily more complex and computationally demanding, which is an obstacle to real-world implementation. Here, in this study, we investigate which operational details of power systems are important to capture in order to accurately evaluate a system's RA, versus details that add complexity but do not meaningfully affect RA results. To do so, we develop a probabilistic RA assessment framework by adapting an existing production cost model and apply it to a case study based on the IEEE Reliability Test System. Our results indicate that multi-year data, storage dispatch, and transmission limits are key details to incorporate. Accurate RA results can be obtained using non-economic dispatch strategies as long as they are coordinated with detailed operational strategies. We also demonstrate how popular expectation-based RA metrics can mask important differences in the characteristics of loss of load events.



Beyond the Least Cost Paradigm


Macro Energy Systems - MES Speaker Series:

 27 Mar 2022
How do conventional energy system optimization models, with a least-cost objective, fail to capture the complexities of the clean energy  transition? What alternative formulations should be considered?

Speakers:
Erin Mayfield | Dartmouth College | Panelist
Tim Pedersen | Aarhus University | Panelist
Evelina Trutnevyte | University of Geneva | Panelist
Benjamin Leibowicz | University of Texas | Moderator

The video has good audio. Interesting to view and listen.



Georgia Institute of Technology
Energy Systems and Optimization Workshop 2020
Speakers Presentations. 






























Wednesday, October 8, 2025

Industrial Engineering Programs At University of California Berkeley

Industrial Engineering Program At University of California Berkeley is a highly ranked program.


Department of Industrial Engineering and Operations Research
4141 Etcheverry Hall,
Mail Code 1777
University of California
Berkeley, CA 94720-1777


__________________________________________________________________________________
The Department of Industrial Engineering and Operations Research (IEOR) educates students to become highly skilled in:
the quantitative modeling and analysis of a broad array of systems-level decision problems concerned with economic efficiency, productivity and quality;

An Important Contribution by University of California Berkeley Faculty.

Work Methods Design and Work Simplification 

BY LOUIS E . DAVIS 

College of Engineering. University of California 

Berkeley. California

Advances in Food Research. (1953). United Kingdom: Elsevier Science. pp. 37-104.

https://www.google.com/books/edition/Advances_in_Food_Research/h6-yzgZaTOAC?hl=en


Industrial Engineering - Important Ideas and Principles - Work Methods Design and Work Simplification - LOUIS E . DAVIS



________________________________________________________________________________

News Archives


2024 Fall Semester. Fall Semester Begins. Wednesday, August 21, 2024.

Undergraduate Program


The undergraduate program is designed to prepare students for technical careers in production or service industries. It provides a strong foundation for those headed for engineering management positions or for those intending to go on to specialized graduate study in operations research, industrial engineering, or business administration.


The core of the program includes: basic science mathematics, including probability and statistics engineering optimization and stochastic models This forms the methodological foundation for upper division IEOR electives involving the analysis and design of production and service systems, information systems, and human work systems and organization, among others.

BS-IEOR worksheet 2023-2025


INTRODUCTION TO ENGINEERING - INTRODUCTION TO MODERN INDUSTRIAL ENGINEERING.  
#IndustrialEngineering for #SocietyProsperity.
For the Academic Year 2024-25 -  Bachelor in Industrial Engineering  #BSIE. 9480+ Downloads for 2023-24. 
Free Download  from: 



IEOR  Courses


Upper Division Requirements
Course List
Code Title Units
IND ENG 120 Principles of Engineering Economics 3
IND ENG 160 Nonlinear and Discrete Optimization 3
IND ENG 162 Linear Programming and Network Flows 3
IND ENG 165 Engineering Statistics, Quality Control, and Forecasting 4
IND ENG 172 Probability and Risk Analysis for Engineers 2 4
or STAT 134 Concepts of Probability
or STAT C140 Probability for Data Science
or DATA C140 Probability for Data Science
IND ENG 173 Introduction to Stochastic Processes 3
IND ENG 174 Simulation for Enterprise-Scale Systems 3
IND ENG 180 Senior Project 4
IND ENG Electives: Select 6 courses from the following: 21
IND ENG 115 Industrial and Commercial Data Systems [3]
IND ENG 130 Methods of Manufacturing Improvement [3]
IND ENG 135 Applied Data Science with Venture Applications [3]
IND ENG 142A Introduction to Machine Learning and Data Analytics [4]
IND ENG 142B Machine Learning and Data Analytics II [4]
IND ENG 145 Fundamentals of Revenue Management [3]
IND ENG 150 Production Systems Analysis [3]
IND ENG 151 Service Operations Design and Analysis [3]
IND ENG 153 Logistics Network Design and Supply Chain Management [3]
IND ENG 156 Healthcare Analytics [3]
IND ENG 164 Introduction to Optimization Modeling [3]
IND ENG 166 Decision Analytics [3]
IND ENG 169 Integer Optimization [3]
IND ENG 170 Industrial Design and Human Factors [3]


Ethics Requirement: Select one course from the following: 3

BIO ENG 100 Ethics in Science and Engineering [3]
DATA C104/HISTORY C184D/STS C104D
Human Contexts and Ethics of Data - DATA/History/STS [4]
ENE,RES C100/PUB POL C184
Energy and Society [4]
ENE,RES W100/PUB POL W184
Energy and Society [4]
ENGIN 125 Ethics, Engineering, and Society [3]
ENGIN/IAS 157AC Engineering, The Environment, and Society [4]
IND ENG 171 Berkeley Changemaker: Ethical and Effective Entrepreneurship in High Tech [3]
UGBA 107 The Social, Political, and Ethical Environment of Business [3]


____________________________________________________________________________

Graduate Program

At the master's level, students may emphasize applied courses, preparing them for professional practice, or may follow a more theoretical program intended for those who will pursue doctoral studies.

______________________________________________________________________________


Research Program

The paramount requirement of a doctoral degree is the successful completion of a thesis on a subject within the major field. Research areas may include the investigation of the mathematical foundations of and computational methods for optimization or stochastic models, including risk analysis. Research also may be undertaken to develop methodologies for the design, planning, and/or control of systems in a variety of application domains.
_______________________________________________________________________________


Faculty:

Robert C. Leachman
Andrew Lim
Shmuel S. Oren
Christos Papadimitriou
Rhonda L. Righter (Chair)
Lee W. Schruben
Zuo-Jun "Max" Shen
Ikhlaq Sidhu
Candace Yano


EMERITUS:

Richard E. Barlow
Stuart Dreyfus
Roger Glassey
Robert M. Oliver
Sheldon M. Ross
(Now Chair at USC)
J. George Shanthikumar
Ronald W. Wolff







Phil Kaminsky


Industrial Engineering and Operations Research

University of California @ Berkeley
Currently on industrial leave (starting 7/1/19)
Phil Kaminsky is the Earl J. Isaac Professor in the Science and Analysis of Decision Making in the Department of Industrial Engineering and Operations Research at UC Berkeley. He is currently on industrial leave at Amazon, as a Principal Research Scientist. Prior to his leave, he served as Executive Associate Dean and Associate Dean for Student Affairs in the UC Berkeley College of Engineering, and before that, faculty director of the Sutardja Center for Entrepreneurship and Technology, director of the Initiative for Research in Biopharmaceutical Operations, and department chair of Industrial Engineering and Operations Research.

Professor Kaminsky's research focuses primarily on the analysis and development of robust and efficient tools and techniques for design, operation, and risk management in logistics systems and supply chains. This encompasses operational issues including the modeling and analysis of production and control systems, as well as more tactical and strategic concerns, including the integration of production, distribution, and pricing strategies, and more broadly the analysis of issues that arise in integrated supply chain management.

Much of his current work is centered on two main themes: strategic, tactical, and operational issues that arise in the operation of biopharmaceutical firms; and collaborative, sustainable logistics. Other current projects focus on the development of novel flexible algorithms for supply chain optimization, container terminal operations, efficient operation of operating rooms, and quantitative modeling of behavior change for personalized healthcare. His research has been funded by the National Science Foundation, BioMarin, Bayer, Genentech, Navis, Project Production Institute, Material Handling Institute, Toyota, and FICO.

Professor Kaminsky received his BS in Chemical Engineering from Columbia University in 1989, and his MS and PhD in Industrial Engineering and Management Science from Northwestern University in 1997.
https://kaminsky.ieor.berkeley.edu/


Zuo-Jun “Max” Shen

Professor and Chair
Industrial Engineering and Operations Research Dept.
Ph.D. Northwestern University Industrial Engineering and Management Sciences

Research
Integrated Supply Chain Design and Management
Mechanism Design in Supply Chain Settings
Design and Analysis of Optimization Algorithms
E-mail: maxshen  (at)   berkeley.edu

https://ieor.berkeley.edu/people/zuo-jun-max-shen/


Updated on 9.8.2024,  22 September 2019, 29 March 2012



Original knol - http://knol.google.com/k/kvss/industrial-engineering-programs-at/ 1zb6eis38d7or/ 25