Thursday, November 30, 2023

Visitors - Countries - Modern Industrial Engineering - E-Book - Narayana Rao

 



INTRODUCTION TO MODERN INDUSTRIAL ENGINEERING.  

Very Popular EBook. Free Download.

2023 BEST New E-Book on Industrial Engineering. 

Download From:

https://academia.edu/103626052/INTRODUCTION_TO_MODERN_INDUSTRIAL_ENGINEERING_Version_3_0 



As on 23.11.2023, 8.15 pm Indian Time



Country 60-Day Views All-Time Views

India 1,301 3,037

United States 656 1,042

South Africa 114 321

Philippines 91 392

Pakistan 89 232

Turkey 67 186

Ethiopia 56 161            https://nraoiekc.blogspot.com/2023/10/ethiopia-industrial-engineering.html

Indonesia 45 197

Bangladesh 44 202

Canada 42 116

United Kingdom 42 90

Iran, Islamic Republic Of 37 146

Germany 36 143

Mexico 35 76

Nigeria 33 108         https://nraoiekc.blogspot.com/2023/10/nigeria-industrial-engineering-education.html

France 29 76

Saudi Arabia 26 80

Malaysia 19 71

Australia 18 29

Viet Nam 18 40

Brazil 18 49

Thailand 17 45    https://nraoiekc.blogspot.com/2023/10/thailand-industrial-engineering.html

Japan 17 49

Egypt 16 48

Jordan 15 32

Belgium 14 19

Poland 13 20

Sri Lanka 13 33

Spain 13 30

Finland 13 34

Netherlands 12 58

Qatar 12 15

Ireland 12 39

Tanzania 11 53

Tunisia 11 25    https://nraoiekc.blogspot.com/2023/10/tunisia-industrial-engineering-education.html

Italy 11 31

Romania 11 28

Hong Kong 10 16

Colombia 10 44

Singapore 10 17

United Arab Emirates 10 22

Portugal 10 18

Cambodia 9 13

Ukraine 7 8

Unknown 7

Kenya 7 32

Botswana 7 16   https://nraoiekc.blogspot.com/2023/10/botswana-industrial-engineering.html

Jamaica 6 6

Peru 6 30

Korea, Republic of 5 22

Namibia 5 15       https://nraoiekc.blogspot.com/2023/10/namibia-industrial-engineering-education.html

Morocco 5 31       https://nraoiekc.blogspot.com/2023/10/morocco-industrial-engineering-education.html    

Yemen 4 30

Albania 4 4

New Zealand 4 6

Serbia 4 5

Switzerland 4 5

Venezuela 3 11

El Salvador 3 4

Sweden 3 26

Hungary 3 5

Austria 3 8

Slovakia 3 6

Zimbabwe 3 22

Azerbaijan 2 3

Russian Federation 2 9

Moldova, Republic of 2 2

Bulgaria 2 2

Myanmar 2 6

Senegal 2 7

Estonia 2 2

Algeria 2 11

China 2 13

Denmark 2 3

Bolivia 2 6

Czech Republic 2 2

Panama 2 6

Chile 1 7

Costa Rica 1 2

Cyprus 1 2

Lebanon 1 8

Chad 1 1

Guyana 1 3

Israel 1 3

Belize 1 1

Ecuador 1 11

Ghana 1 32

Argentina 1 9

Congo, The Democratic Republic Of The 1 1

Dominican Republic 1 4

Greece 1 3

Kazakhstan 1 1

Nicaragua 1 1

Slovenia 1 1

Zambia 1 13

Iraq 1 20

Mozambique 1 3

Uzbekistan 0 2

Unknown 0 16

Uganda 0 4

Taiwan 0 6

Somalia 0 6

Sierra Leone 0 5

Sudan 0 1            https://nraoiekc.blogspot.com/2023/10/sudan-industrial-engineering-education.html

Solomon Islands 0 37

Rwanda 0 5

Paraguay 0 1

Palestinian Territory, Occupied 0 7

Puerto Rico 0 3

Papua New Guinea 0 1

Nepal 0 23

Norway 0 2

Malawi 0 5

Mauritius 0 2                        https://nraoiekc.blogspot.com/2023/10/mauritius-industrial-engineering.html

Malta 0 1

Macedonia, the Former Yugoslav Republic Of 0 1

Libyan Arab Jamahiriya 0 13

Lithuania 0 1

Kuwait 0 1

Iceland 0 1

Haiti 0 2

Croatia 0 2

Honduras 0 1

Guatemala 0 1

Gabon 0 9

Eritrea 0 3

Brunei Darussalam 0 2

Benin 0 1

Bahrain 0 1

Burkina Faso 0 1

Bosnia and Herzegovina 0 2

Angola 0 3



https://nitie.academia.edu/NarayanaKvss/Analytics/activity/countries


Problem-solving within Value Streams - Al Shalloway

 Embark on a transformative journey with Al Shalloway in this compelling video presentation, where he delves into the art of problem-solving within Value Streams. As a seasoned expert in Lean-Agile practices, Al unravels the core principles essential for effective Value Stream management, guiding viewers through the identification and mitigation of common challenges. Gain insights into the influential factors shaping Value Streams and learn from real-world case studies and best practices. Whether you're a seasoned Agile practitioner or just starting your journey, Al Shalloway's expertise offers a roadmap to streamline processes, eliminate waste, and optimize the flow of value for enhanced organizational success.



https://successengineering.works/presentations/











ChatGPT - Engineering Innovation - Performance and Productivity Benefits

MODERN INDUSTRIAL ENGINEERING, PRODUCTIVITY MANAGEMENT, COST REDUCTION PRINCIPLES, FUNCTIONS AND FOCUS AREAS. Free Download

https://academia.edu/103626052/INTRODUCTION_TO_MODERN_INDUSTRIAL_ENGINEERING_Version_3_0 

30 November 2023 - First year Anniversary of ChatGPT


ChatGPT is marking one year since its creation. How much more do we know about AI now? 

By Liana Walker and Brianna Morris-Grant

https://www.abc.net.au/news/2023-11-30/chatgpt-turns-one-what-lessons-have-we-learned-from-ai/103166894

Three billion people now have access to either ChatGPT or Copilot or to Bard, who are the big three chat AI bots.

 Bloomberg reported that the AI generative industry will be worth $1.3 trillion over the next 10 years,.


https://www.bostonglobe.com/2023/11/29/business/chatgpt-one-year-anniversary/


 last revised 29 Nov 2023 (this version, v2)]

ChatGPT's One-year Anniversary: Are Open-Source Large Language Models Catching up?

Hailin Chen, Fangkai Jiao, Xingxuan Li, Chengwei Qin, Mathieu Ravaut, Ruochen Zhao, Caiming Xiong, Shafiq Joty

Upon its release in late 2022, ChatGPT has brought a seismic shift in the entire landscape of AI, both in research and commerce. Through instruction-tuning a large language model (LLM) with supervised fine-tuning and reinforcement learning from human feedback, it showed that a model could answer human questions and follow instructions on a broad panel of tasks. Following this success, interests in LLMs have intensified, with new LLMs flourishing at frequent interval across academia and industry, including many start-ups focused on LLMs. While closed-source LLMs (e.g., OpenAI's GPT, Anthropic's Claude) generally outperform their open-source counterparts, the progress on the latter has been rapid with claims of achieving parity or even better on certain tasks. This has crucial implications not only on research but also on business. In this work, on the first anniversary of ChatGPT, we provide an exhaustive overview of this success, surveying all tasks where an open-source LLM has claimed to be on par or better than ChatGPT.

https://arxiv.org/abs/2311.16989


https://www.axios.com/2023/11/28/chat-gpt-one-year-anniversary-ai

Axios has local news sections - Austin is one location.

30 November 2022

Tweet by Sam Altman on Twitter

Job Shop - Industrial Engineering - Productivity Improvement - Cost Reduction

 https://books.google.com/books?id=sAarCAAAQBAJ&pg=PA396&lpg=PA396#v=onepage&q&f=false

Case Study of HDS Division, Schlumberger

Summer of 1985


Time to Reform Job Shop Manufacturing

by James E. Ashton and Frank X. Cook, Jr.

From the Magazine (March–April 1989)

https://hbr.org/1989/03/time-to-reform-job-shop-manufacturing


Written instructions.

Schedule adherence


Bibliography


Lekan Olanrewaju

Jan 31, 2023 | 6 minutes read

Overcoming the Challenges of Job Shop Manufacturing

https://www.getmaintainx.com/blog/overcoming-the-challenges-of-job-shop-manufacturing/


Navigating High-Mix, Low-Volume Manufacturing

July 27, 2022

By Kip Hanson, Contributing Editor, SME Media

https://www.sme.org/technologies/articles/2022/july/navigating-high-mix-low-volume-manufacturing/


How to Make a Machine Shop Lean - Dr. Shahrukh Irani - Chapter Summary

https://nraoiekc.blogspot.com/2022/06/how-to-make-machine-shop-lean-dr.html


Home  Concurrent Engineering: Tools and Technologies for Mechanical System Design  Conference paper

Relationship Between Design for Manufacturing, a Responsive Manufacturing Approach, and Continuous Improvement

J. E. Ashton 

Conference paper

Part of the NATO ASI Series book series (NATO ASI F,volume 108)

https://link.springer.com/chapter/10.1007/978-3-642-78119-3_17



Time to Reform Job Shop Manufacturing

by James E. Ashton and Frank X. Cook, Jr.

From the Magazine (March–April 1989)

https://hbr.org/1989/03/time-to-reform-job-shop-manufacturing




Ud. 30.11.2023

Pub. 11.7.2023


British Factory, Japanese Factory: National Diversity in Industrial Relations - Ronald Dore Book Information

 British Factory, Japanese Factory: The Origins of National Diversity in Industrial Relations

Ronald Dore

University of California Press, 1973 - Industrial relations - 432 pages

The way that the Japanese work is often perceived as "different." The author here sets out to find how different and why. He is not interested in impressionistic East/West comparisons but in making a strict comparison of two Japanese factories with two British ones making similar products. The first half of his book illustrates the attitudes and assumptions that underline the "organization-oriented" system of Japan and the "market-oriented" system of Britain. Much can be said for the orderliness, the mutual consideration, with which the Japanese manage their affairs; but they pay a price--the sacrifice of individuality and of independence. The British preserve these virtues but, in doing so, they pay a price in suspicion, obstinacy, inertia, and what the author calls "a shifting mixture of complacency and national self-doubt." But the purpose of this book is not to judge but to explain--to give, as the author says, a causal account of the genesis of the reasons why there should be two all but identical processes of creating all but identical electric generators--two very different ways of ordering the social and economic relations among the people involved.


Preview













Top Industrial Engineering Programs USA




Download from:



https://www.collegefactual.com/majors/engineering/ie-industrial-engineering/rankings/top-ranked/

https://www.collegefactual.com/majors/engineering/ie-industrial-engineering/rankings/top-ranked/bachelors-degrees/


Top Industrial Engineering Programs USA


The ranks are 2014 related

For 2024








Rank School Name - Industrial Engineering Program at



1 Georgia Institute of Technology-Main Campus

2 University of Michigan-Ann Arbor

University of California Berkeley CA
Stanford University CA  - Management Science and Engineering
Northwestern University (McCormick) IL

3 Texas A & M University-College Station

4 Pennsylvania State University-Main Campus

5 Virginia Polytechnic Institute and State University

6 Purdue University-Main Campus - MSIE Online Program

Cornell University NY
Texas A&M University College Station TX
7 University of Wisconsin-Madison
Columbia University (Fu Foundation) NY

8 University of Southern California (Viterbi)
9 University of Central Florida
10 Ohio State University-Main Campus
11 Auburn University
12 Wichita State University
13 University at Buffalo
14 Northwestern University

Lehigh University (Rossin)

University of Illinois Urbana Champagne

15 Arizona State University
16 SUNY at Binghamton
17 North Carolina State University at Raleigh
18 West Virginia University
19 University of Puerto Rico-Mayaguez
20 University of Pittsburgh-Pittsburgh Campus
21 Iowa State University
22 Rochester Institute of Technology
23 The University of Texas at Arlington
24 Clemson University
25 Oklahoma State University-Main Campus


26 University of South Florida-Main Campus
27 University of Houston
28 Columbia University in the City of New York - Already included at the top.
29 California Polytechnic State University-San Luis Obispo
30 University of Arkansas
31 New Mexico State University-Main Campus
32 South Dakota School of Mines and Technology
33 University of Oklahoma Norman Campus
34 Texas Tech University
35 Northeastern University
36 Northern Illinois University
37 Rensselaer Polytechnic Institute
38 University of Louisville
39 New Jersey Institute of Technology
40 University of Washington-Seattle Campus
41 University of Miami
42 Oregon State University
43 Lehigh University
44 Kansas State University
45 University of Missouri-Columbia
46 University of Illinois at Urbana-Champaign
47 Ohio University-Main Campus
48 The University of Texas at El Paso
49 Wayne State University
50 Indiana Institute of Technology


Grand Canyon University BS Program   https://www.gcu.edu/degree-programs/bachelor-science-industrial-engineering


Read more: Most Popular Schools for Industrial Engineering Major and Degree Program - StateUniversity.com
http://www.stateuniversity.com/program/14-3501/Industrial-Engineering

Above information is combined with Info in
http://www.accesseducationindia.com/top-industrial-manufacturing-courses.html


Updated on  1.7.2022,  22 September 2019,  3 September 2019,   17 August 2019
15 July 2018
Earlier update 16 November 2018


Twitter - X - Computing & Communication Cost Reduction - Cost Savings - Elon Musk

 MODERN INDUSTRIAL ENGINEERING, PRODUCTIVITY MANAGEMENT, COST REDUCTION PRINCIPLES, FUNCTIONS AND FOCUS AREAS.   Free Download.

https://academia.edu/103626052/INTRODUCTION_TO_MODERN_INDUSTRIAL_ENGINEERING_Version_3_0 


X Shifts Media Processing from Cloud to On-Prem: Saves $60M

https://www.linkedin.com/pulse/x-shifts-media-processing-from-cloud-on-prem-saves-ks6oe/

https://www.linkedin.com/pulse/unlocking-efficiency-cost-savings-strategic-shift-from-ashvit--9wpfc/

https://www.cnbc.com/2022/11/03/musk-orders-twitter-to-cut-infrastructure-costs-by-1-billion-sources-say.html


X/Twitter claims $100m in annual savings after exiting Sacramento data center

Company also cites savings from cloud repatriation moves

https://www.datacenterdynamics.com/en/news/xtwitter-claims-100m-in-annual-savings-after-exiting-sacramento-data-center/

October 31, 2023


August 15, 2023

How Much Does Twitter Spend On AWS And Google Cloud?

https://www.cloudzero.com/blog/twitter-aws/



Breaking Down the Cost of Cloud Computing in 2023

By

Linda Rosencrance

Published: 04 Nov 2022

Cost savings is one of the main reasons that companies decide to migrate to a cloud environment. Cloud computing can offer organizations potential financial advantages in a few ways; however, it's important to understand the full implications of cloud pricing, and how it can affect companies.

https://www.techtarget.com/whatis/Breaking-Down-the-Cost-of-Cloud-Computing


2015 Pdf KPMG

https://assets.kpmg.com/content/dam/kpmg/pdf/2015/11/cloud-economics.pdf



News - Miscellaneous Articles and Posts on Tesla

https://ilovetesla.com/

https://www.linkedin.com/in/garyzhou/


30 Nov 2023

Tesla Cybertruck delivery event in 4 minutes

____________________________



https://www.youtube.com/watch?v=BjxIyHp7wBc

____________________________

Elon Musk - Tesla Cybertruck deliveries event in Austin

PUBLISHED THU, NOV 30 20232:38 PM EST

https://www.cnbc.com/2023/11/30/tesla-set-to-reveal-cybertruck-details-at-austin-deliveries-event.html


https://ilovetesla.com/delorean-dmc-12-designer-gives-thumbs-up-to-tesla-cybertruck/

The Tesla Cybertruck is far from a normal vehicle in nearly every way you can assess it, but DeLorean DMC-12 designer Giorgetto Giugiaro gave the truck a nod of approval and gave Tesla props for thinking outside the box.


https://www.linkedin.com/posts/garyzhou_delorean-dmc-12-designer-gives-thumbs-up-activity-7130313857788428288-jziL


https://www.linkedin.com/posts/garrettech_tesla-reveals-everything-that-affects-its-activity-7130243434430279680-xf95

 Tesla has allegedly been suppressing EV range complaints.

Sudhanshuman Naruka

Student at SVKM NMIMS Kirit P. Mehta School of Law

August 6, 2023

https://www.linkedin.com/pulse/tesla-has-allegedly-been-suppressing-ev-range-sudhanshuman-naruka/

Tesla leases space in Pune for its first office in India

Updated - August 03, 2023 at 09:47 AM.

The office space on lease has been taken at a starting monthly rent of ₹11.65 lakh

Tesla plans to roll out EVs at a starting price of ₹20 lakh in India:

https://www.thehindubusinessline.com/companies/tesla-leases-space-in-pune-for-its-first-office-in-india/article67149892.ece

https://www.linkedin.com/pulse/teslas-supply-chain-sujay-v/


https://www.linkedin.com/pulse/tesla-emerges-victorious-ev-charger-wars-earn-warns/


https://www.linkedin.com/pulse/article-tesla-bot-suryateja-kamma/

https://www.linkedin.com/posts/electrek_tesla-software-update-activity-7051249548580585472-lIIC

https://www.linkedin.com/posts/premsingh-rajput-528623209_tesla-revolutionizing-the-auto-industry-activity-7090187534973976576-naZA

https://www.linkedin.com/posts/muralitoday_rareearths-rareearthelements-electricmotors-activity-7037408350208233472-51Oo



2022

https://www.linkedin.com/posts/dbhati9_tesla-reportedly-partners-with-tsmc-for-next-generation-activity-7002832672267923456-a7_F


https://www.linkedin.com/posts/kumar-rikesh_tesla-semi-looks-incredible-as-an-electric-activity-7005037413483835392-fwom







2021

https://www.linkedin.com/posts/aryantandon_rivian-teslamotors-generalmotors-activity-6875038869310590976-qvpW


https://www.linkedin.com/pulse/elon-musks-tesla-stock-sales-demystified-ca-naman-gangwal-cpa/



Ud. 30.11.2023

Pub. 15.11.2023


Botswana - Industrial Engineering Education

 Botswana


Bachelor of Engineering (Industrial Engineering)

https://www.ub.bw/programmes/engineering-and-technology/mechanical-engineering/bachelor-engineering-industrial-engineering


https://www.biust.ac.bw/biust-programmes/beng-industrial-manufacturing-engineering/

FaceBook

University Of Botswana Industrial Engineers Association - UBIEA 

141 likes • 153 followers

https://www.facebook.com/p/University-Of-Botswana-Industrial-Engineers-Association-UBIEA-100064151079233/


?paipv=0&eav=AfYJevdzvcmQEHVlpWgHJ_td9OdGN8-41ygfvleAFYieFCFU2-21U_VQQLE7yWMjRe0&_rdr


How Industrial Engineering has affected my lifePOSTED ON DECEMBER 24, 2016 BY AAWSE_ADMIN

imag3531

Tumisang Orapeleng is a final year Industrial Engineering student at the University of Botswana. She is also working part-time at the Botswana Engineers Registration Board. She speaks about what has changed in her life since she started her course and where she believes her career is headed.


https://aawse.org/how-industrial-engineering-has-affected-my-life/


IEOM Botswana Chapter

Gaborone, Botswana


Founding Chair:


Dr. Jerekias Gandure

Associate Professor

Department of Mechanical Engineering

University of Botswana

Gaborone, Botswana

Phone: +267-3554421; fax: +267-3954902

E-mail: gandurej @  mopipi.ub.bw

Tuesday, November 28, 2023

Software Development Operation Process Chart - Analysis of Software Writing (Development) Operations - IT Industrial Engineering

2023 BEST E-Book on #IndustrialEngineering. 

INTRODUCTION TO MODERN INDUSTRIAL ENGINEERING.  Free Download.

https://academia.edu/103626052/INTRODUCTION_TO_MODERN_INDUSTRIAL_ENGINEERING_Version_3_0 


Software Operation Process Chart for Software Process Improvement

Software Operation Process Chart contains two operations - Software Development and Software Testing. Both operations are analyzed for productivity improvement in industrial engineering of software development.


Information for Supporting Analysis of Software Development Operations


Unleashing developer productivity with generative AI

June 27, 2023 | Article


A McKinsey study shows that software developers can complete coding tasks up to twice as fast with generative AI. Four actions can maximize productivity and minimize risks.


Expediting manual and repetitive work.

Jump-starting the first draft of new code. 

Accelerating updates to existing code. 

Increasing developers’ ability to tackle new challenges.

https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/unleashing-developer-productivity-with-generative-ai

McKinsey Developer Productivity Paper - Review

4 Oct 2023

https://dannorth.net/mckinsey-review/

Improving Software Developer Mental Well-Being and Productivity

September 19, 2023

https://www.informatics.uci.edu/8098-2/



 AI & ML: The next generation of developer productivity

By Mike Loukides

August 15, 2023

https://www.oreilly.com/radar/the-next-generation-of-developer-productivity/

Waste Self-reporting for Software Development Productivity Improvement

Marc Sallin, Martin Kropp, Craig Anslow & Robert Biddle 

Conference paper

Open Access

First Online: 20 May 2023

Part of the Lecture Notes in Business Information Processing book series (LNBIP,volume 475)

Agile Processes in Software Engineering and Extreme Programming  Conference paper



Waste Categories incl. Measurement. 

From: Waste Self-reporting for Software Development Productivity Improvement




                 Waste Category   -     Measurement and Unit


WC1 Building the wrong feature or product [5]       Customer confidence (Likert-Scale)


WC2  Mismanaging the backlog [5]    Time spent (h) & Delay (h)


WC3  Rework [5]  Time spent (h)


WC4  Unnecessarily complex solutions [5]  Time spent (h)


WC5  Extraneous cognitive load [5]  Time spent (h)


WC6  Psychological distress [5]  Stress (numerical rating scale)


WC7  Waiting/multitasking [5]  Delay (h) & Context Switches (count)


WC8  Knowledge loss [5]  Time spent (h)


WC9  Ineffective communication [5]  Time spent (h)


WC10  Management & organizational aspect [19]  Time spent (h) & Delay (h)


WC11  Manual work (new category)  Time spent (h) & Delay (h)


WC12   Other duties (new category)    Time spent (h)


https://link.springer.com/chapter/10.1007/978-3-031-33976-9_4


37 tips for improving productivity in software development teams

By

Daniel Beck

https://sprkl.dev/37-tips-for-improving-productivity-in-software-development-teams/

15 Key Software Development Metrics & KPIs for Measuring Engineering Productivity

28 April 2023 • 24 min read

Andrii Horiachko

Co-Founder at Softermii

https://www.softermii.com/blog/top-9-software-development-metrics-for-measuring-productivity-and-products-quality


Inside the World of Developer Productivity: Best Practices from Google

Vishal Pallerla•April 7, 2023

https://www.devzero.io/blog/inside-the-world-of-developer-productivity-best-practices-from-google


The Impact of AI on Developer Productivity:

Evidence from GitHub Copilot

Sida Peng,∗ Eirini Kalliamvakou, Peter Cihon, Mert Demirer

Feb 2023

https://arxiv.org/pdf/2302.06590.pdf



How To Optimize Developer Productivity During Times Of Financial Uncertainty

Ilan Peleg

Forbes Councils Member

Forbes Business Council

Jan 25, 2023

https://www.forbes.com/sites/forbesbusinesscouncil/2023/01/25/how-to-optimize-developer-productivity-during-times-of-financial-uncertainty/

9 of the Best Productivity Tools for Developers in 2023

January 10, 2023

https://clickup.com/blog/best-productivity-tools-for-developers/


Unblocking Workflows: The 2023 Guide to Developer Productivity

What can you do to accelerate developer productivity in 2023?

Part 1: Key Productivity Challenges

Part 2: Developer Productivity Survey Results

Part 3: Improving Developer Productivity and Collaboration

Part 4: Improve Collaboration to Accelerate Productivity

What can you do to accelerate developer productivity in 2023

https://mattermost.com/guide-to-developer-productivity-2023/#what-can-you-do-to-accelerate-developer-productivity-in-2023


2020

Myths of Programmer Productivity

https://insights.sei.cmu.edu/documents/5690/2020_018_101_650692.pdf

2019

https://www.microsoft.com/en-us/research/video/productivity-in-software-development/

What Predicts Software Developers’ Productivity?

Emerson Murphy-Hill Ciera Jaspan Caitlin Sadowski David C. Shepherd Michael Phillips Collin Winter Andrea Knight Dolan Edward K. Smith Matthew A. Jorde

Transactions on Software Engineering (2019)

https://research.google/pubs/pub47853/


Defining Productivity in Software Engineering

Stefan Wagner & Florian Deissenboeck 

Chapter

Open Access

First Online: 08 May 2019

https://link.springer.com/chapter/10.1007/978-1-4842-4221-6_4

2017

Study of Task Processes for Improving Programmer Productivity

by

Damodaram Kamma

PhD Thesis

2017

IIIT Delhi

https://repository.iiitd.edu.in/xmlui/bitstream/handle/123456789/513/PhD1004.pdf?sequence=1&isAllowed=y

2014

Study of Task Processes for Improving

Programmer Productivity

Damodaram Kamma

Indraprastha Institute of Information Technology, Delhi

Thesis Advisor: Prof. Pankaj Jalote

https://2014.icse-conferences.org/sites/default/files/downloads/Kamma.pdf


https://www.gartner.com/peer-community/post/how-measure-maximize-developer-productivity

https://www.researchgate.net/publication/279259268_Software_Developers'_Perceptions_of_Productivity


Improving speed and productivity of software development: a global survey of software developers

Publisher: IEEE

J.D. Blackburn; G.D. Scudder; L.N. Van Wassenhove

IEEE Transactions on Software Engineering ( Volume: 22, Issue: 12, December 1996)

https://ieeexplore.ieee.org/document/553636


UNDERSTANDING SOFTWARE PRODUCTIVITY

WALT SCACCHI

Information and Operations Management Department

School of Business Administration

University of Southern California

Los Angeles, CA 90089-1421, USA

(Appears in Advances in Software Engineering and Knowledge Engineering, D. Hurley (ed.),

    Volume 4, pp. 37-70, (1995).

December 1994

https://ics.uci.edu/~wscacchi/Papers/Vintage/Software_Productivity.html


1992

1045-1992 - IEEE Standard for Software Productivity Metrics

https://ieeexplore.ieee.org/document/211732

What does this term, "productivity" of software development really mean?

https://www.andrews.edu/~vyhmeisr/papers/progprod.html


1988

Software Metrics

https://insights.sei.cmu.edu/library/software-metrics/









Software Operation Process Chart - Analysis of Software Testing Operations - IT Industrial Engineering

2023 BEST E-Book on #IndustrialEngineering. 

INTRODUCTION TO MODERN INDUSTRIAL ENGINEERING.  Free Download.

https://academia.edu/103626052/INTRODUCTION_TO_MODERN_INDUSTRIAL_ENGINEERING_Version_3_0 


Software Operation Process Chart for Software Process Improvement

Software Operation Process Chart contains two operations - Software Development and Software Testing. Both operations are analyzed for productivity improvement in industrial engineering of software development.


What are the best practices for reducing the cost of software testing in large-scale projects?


1

Define clear testing goals and scope

2

Automate your testing as much as possible

3

Implement continuous testing and integration

4

Leverage cloud-based testing tools and services

5

Optimize your testing team and processes

6

Monitor and measure your testing performance and outcomes


Narayana Rao KVSS

Professor (Retired), NITIE - Now IIM Mumbai - Offering FREE IE ONLINE Course Notes


You can prepare a software operation process chart. Operation process chart is an industrial engineering tool to record the operations in a process. It records only two operations. In software operation process chart they will be development and test. All test operations in the chart are examined in the process improvement  to first check whether they are effective. Then they are evaluated for efficiency. Automating them is an efficiency improvement step. The time and cost involved in each testing operation are also recorded in the chart to check whether new methods provide improvement or not.


https://www.linkedin.com/advice/0/what-best-practices-reducing-cost-software

Matthew Heusser is a consulting software tester and self-described software process naturalist who develops, tests and manages software projects. Matt is a contributing editor for Software Test & Quality Assurance Magazine and his blog “Creative Chaos

” focuses on software writing. 

An elected member of the Board of Directors of the Association for Software Testing, Matt recently served as lead editor for “How to Reduce the Cost of Software Testing” (Taylor and Francis, 2011). You can follow Matt on Twitter @mheusser or email him.

1st Edition


How to Reduce the Cost of Software Testing

Edited By Matthew Heusser, Govind Kulkarni

Copyright 2012

https://www.routledge.com/How-to-Reduce-the-Cost-of-Software-Testing/Heusser-Kulkarni/p/book/9781439861554

Jun 21, 2022

Software testing cost estimation: how to optimize your QA budget

When you start a project, the software testing costs may frighten you off. In 2022, the average yearly salary of a QA Engineer in the USA reached $96k. It is essential for CTOs to find ways to optimize the testing budget. But how to cut costs without compromising on product quality?


Ten Ways to Reduce the Cost of Software Testing
By Philip Lew|March 25th, 2022

How to Reduce Your Software Testing Costs by 35%

January 5, 2023  by Bindhu Charles  Test Automation, Testing  Agile Testing Strategy, AI based Testing Framework, Automation Solutions, Scaling Test Automation, Software Testing Costs, test automation framework, Test automation strategy 


Reducing The Cost Of Software Testing: An Overview


A set of ways to optimize the cost of Software Testing

Bechir Haribi

Lead System Engineer at NOFFZ Technologies

https://www.linkedin.com/pulse/set-ways-optimize-cost-software-testing-bechir-haribi/










Beyond Lean: Simulation in Practice - Charles R. Standridge - Book Information

 Beyond Lean: Simulation in Practice, Second Edition


Charles R. Standridge Ph.D., Grand Valley State University


https://scholarworks.gvsu.edu/books/6/


https://scholarworks.gvsu.edu/cgi/viewcontent.cgi?article=1006&context=books

Lean Beyond Flow - Industrial Engineering

 

Lean theory is distilled from Toyota Production System by a team of MIT researchers.

Lean was coined by a researcher to characterise inventory in TPS as lean in contract the traditional inventory maintained in US automotive companies was termed bulk.

Toyota started utilizing lean inventories and made gains in productivity  surpassing the labor productivity of US companies.

The MIT team came out with five principles to explain Lean system to be used by companies now to implement the best practice of Toyota.

The five principles are value, stream, flow, pull and perfection. All these five principles are related to flow. They actually identify inventories in the production system and try to reduce them. As inventories are reduced flow increases. 


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

You can see the focus on flow in lean theory from this explanation by Kettering.

Understanding the Principle of Flow in Lean Manufacturing


Understand value from the customer perspective

Understand the Value Stream

Make the Value Stream Flow

Create Pull

Continuously Improve


Identifying the Seven Flows of Manufacturing

Mike Wroblewski, Senior Operations Consultant for Gemba Consulting, explains in his Reliable Plant blog, the Seven Flows of Manufacturing by his Japanese sensei, Nakao-san:


The flow of raw material

The flow of work-in-process

The flow of finished goods

The flow of operators

The flow of machines

The flow of information

The flow of engineering


Barriers to Flow

If you want to improve flow, first remove all barriers. Figliolino Venanzio, Founder of Lean Six Sigma University, outlines both physical and intangible barriers to flow:


Examples of Physical Barriers to Flow:


Distance: Rather than transporting individual items, they are collected and shipped as a group

Long Setup Times: When changing over tooling takes a long time, larger batches are run

Batch-Oriented Machines: Some machines are designed to be most efficient with large runs.

Poor Maintenance: Machines that break down frequently disrupt flow.

Examples of Intangible Barriers to Flow:


Unreliable Deliveries: When there is no trust that parts will arrive on time, extras are kept on hand

Unreliable Quality: If people think that many parts will be unsuitable or will require rework, extras will be kept on hand

Approval Processes: The approver is seldom standing by, so work is piled up until the next opportunity to get the go-ahead

Lack of Faith: Some people just don’t believe flow is possible, so don’t even try

Resistance to Change: Some people think flow might work, but like things to stay the same.

https://online.kettering.edu/news/understanding-principle-flow-lean-manufacturing

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

Industrial engineering is a discipline formally started as an academic branch in engineering in 1908. Its foundation is cost reduction of engineering products and products produced by machinery developed by engineers through productivity improvement. Initially the focus was on increasing speed of machines and understanding the maximum speed at which a human  operator can work under various weights of load. The premise was that both managers and operators do not know the maximum speed at which work can be done and quality output produced. Also the speed should not damage machines and harm operators. Operators have to be comfortable working at the recommended speed of motions for hand and feet. 


Beyond Lean: Advanced Principles of Productivity [Hypertherm with Kevin Duggan]

https://www.youtube.com/watch?v=n4AuprJ041M

https://www.youtube.com/@InstituteOpex

About

Institute for Operational Excellence

@InstituteOpex

704 subscribers

32 videos

The Institute for Operational Excellence is the leading educational center for organizations and individuals interested in learning how to evolve a lean enterprise into one that can achieve and sustain Operational Excellence.

Links


instituteopex.org

instituteopex.org


Facebook

facebook.com/InstituteOpEx


Twitter

twitter.com/InstituteOpEx

2023 Machine Shop Engineering, Technology & Industrial Engineering - Productivity Improvement & Cost Reduction News

 

https://mfgnewsweb.com/archives.aspx

Metal Working Equipment News 

https://www.equipment-news.com/


Twitter Hashtag Machining

https://twitter.com/hashtag/Machining




Productivity Science of Machining - F.W. Taylor - Experiments and Results.

Free Download

https://www.academia.edu/104259034/Productivity_Science_of_Machining_F_W_Taylor_Experiments_and_Results



November 2023

Well-balanced machining: The key to precision and productivity
Seco Tools


September 2023

YG-1 Launches the New Solution: Indexable Drill ‘X-DRILL’
July 03, 2023
  A New Captive Type of 4-Corner Indexable Drill with Exceptional Performance​

YG-1 Holemaking tools 

YG-1 Holemaking tools are well known for its low tolerance and high technology,
continuously impressing various manufacturers around the world.

Its advance designed geometry brings out extraordinary performances,
creating a longer tool life with outstanding productivity. Also a variety of size and
shapes are available for multiple applications.

YG-1 tools at lower price.


January 2023


New Videos

How To Maximize Machine Productivity
MSC Industrial Supply Co.
26 Jan 2023
In this episode of MSC's How To, Jacob Sanchez is joined by Nate Schaub at Wagner Machine Company in Champaign, Illinois, where Nate shows him Wagner’s tried and true methods of maximizing their machines' productivity.
Join Jacob as he gets down to the root of Wagner Machine Company’s efficient machining operations. What does machine productivity mean to the everyday operator, and how can you as a machinist level up your own efficiency? Find out on this episode of How To.


MSC MillMax® Maximizing Productivity Through Milling Optimization
MSC Industrial Supply Co.

Productivity Calculator: Milling
MSC Industrial Supply Co.

How to Maximize Machine Productivity
MSC Industrial Supply Co.
If you are stuck wondering why your machine’s not as productive as you need it to be, it may be time to evaluate your tool holders. Tools alone are not the answer. Find out more here: http://bit.ly/2GaEQ09

MSC MillMax® Maximizing Productivity Through Milling Optimization - April Webinar
In this webinar, learn how MillMax® will help you realize substantial improvements. After 18 months of testing across industries including Aerospace, Automotive, Transportation, and General Machining customers like you have taken the guesswork out of machining optimization to deliver productivity improvements quickly without significant machine downtime. 

Hosted by: 
Jamie Goettler leads MSC’s metalworking sales and innovation efforts. With over 20 years of experience in metalworking and industrial distribution.
Over $1 Million in Profit Improvements and we are just getting started.

MSC MillMax® Maximizing Productivity Through Milling Optimization
MSC Industrial Supply Co.


Synera - Design to Cost Tool - Geometric Data Linked to Professional Costing Tools

 


The Low-Code Platform for Engineers

Model your product development steps in a simple visual editor and integrate the CAE tools you know and rely on.

Model-based approach

Transition from document-based engineering to model-based engineering and bring agility to your product development processes.


Contact

info@synera.io

+49 (0)421 2215 9700

Konsul-Smidt-Str. 8u

28217 Bremen

Germany

https://www.synera.io/focused-case-study/design-to-cost


https://www.synera.io/success-story/edag


Cost Engineering

Discover how Low-Code can revolutionize cost engineering and procurement. Streamline costing processes and align with sustainability objectives.


Download whitepaper


The path to a cost engineering revolution

Accelerate cost estimation & CO2 analysis time by 80% using Low-Code


Do you find yourself relying on historical costs that may no longer be relevant due to the absence of a rule-based framework? The challenges in today's cost engineering and procurement landscape are real. But there is a solution. This whitepaper introduces Low-Code, a universal language that unifies all tools and information sources relevant to cost engineering. With Low-Code, data moves effortlessly through a digital thread, making it easy for cost engineers and other departments to share data between different tools and systems. Say goodbye to suboptimal decisions and operational inefficiencies and hello to streamlined costing processes. It's time to revolutionize cost engineering and procurement.


Key takeaways

Low-Code can accelerate cost estimation and CO2 analysis time by 80%

Low-Code can help cost engineers align with sustainability objectives, such as adhering to CO2 emission standards

Traditional knowledge transfer processes in cost engineering can be inefficient and create information silos

Synera Run can democratize automation and bridge the gap between expertise and accessibility

The cost estimation process can be vulnerable to critical knowledge gaps when valuable knowledge is concentrated within a select few individuals

Who has to read it?

Cost Engineers

Engineering Managers

Business leaders

Download the whitepaper


https://assets-global.website-files.com/638a24dbb55ba0fa9f8360b3/651425702bc57341a2c44e10_Focused-case-study-design-to-cost.pdf









Sunday, November 26, 2023

Engineering Optimization - A Bibliography

 



References from

Optimization of Part Consolidation for Minimum Production Costs and Time Using Additive Manufacturing

2019 paper


Zhenguo Nie, Sangjin Jung, Levent Burak Kara, Kate S. Whitefoot


Mechanical Engineering, Carnegie Mellon University

Engineering and Public Policy, Carnegie Mellon University

Pittsburgh, PA, USA

https://meche.engineering.cmu.edu/_files/images/research-groups/whitefoot-group/NJKW-OptPartConsolidation-JMD.pdf


References

[1] Yang, S., Talekar, T., Sulthan, M. A., and Zhao, Y. F.,

2017, "A Generic Sustainability Assessment Model towards

Consolidated Parts Fabricated by Additive Manufacturing

Process," Procedia manufacturing, 10, pp. 831-844.

[2] Yang, S., Tang, Y., and Zhao, Y. F., 2015, "A new part

consolidation method to embrace the design freedom of

additive manufacturing," Journal of Manufacturing Processes,

20, pp. 444-449.

[3] Yang, S., and Zhao, Y. F., 2015, "Additive manufacturingenabled design theory and methodology: a critical review,"

The International Journal of Advanced Manufacturing

Technology, 80(1), pp. 327-342.

[4] Hague, R., 2006, "Unlocking the design potential of rapid

manufacturing," Rapid manufacturing: an industrial revolution

for the digital age.

[5] Uriondo, A., Esperon-Miguez, M., and Perinpanayagam,

S., 2015, "The present and future of additive manufacturing in

the aerospace sector: A review of important aspects,"

Proceedings of the Institution of Mechanical Engineers, Part

G: Journal of Aerospace Engineering, 229(11), pp. 2132-2147.

[6] Wong, K. V., and Hernandez, A. J. I. M. E., 2012, "A

review of additive manufacturing," ISRN Mechanical

Engineering, 2012.

[7] Schmelzle, J., Kline, E. V., Dickman, C. J., Reutzel, E. W.,

Jones, G., and Simpson, T. W., 2015, "(Re) Designing for part

consolidation: understanding the challenges of metal additive

manufacturing," Journal of Mechanical Design, 137(11), p.

111404.

[8] Frey, D., Palladino, J., Sullivan, J., and Atherton, M.,

2007, "Part count and design of robust systems," Systems

engineering, 10(3), pp. 203-221.

[9] Türk, D.-A., Kussmaul, R., Zogg, M., Klahn, C.,

Leutenecker-Twelsiek, B., and Meboldt, M., 2017,

"Composites part production with additive manufacturing

technologies," Procedia CIRP, 66, pp. 306-311.

[10] Booker, J., Swift, K., and Brown, N., 2005, "Designing

for assembly quality: strategies, guidelines and techniques,"

Journal of Engineering design, 16(3), pp. 279-295.

[11] Boothroyd, G., Dewhurst, P., and Knight, W. A., 2001,

Product Design for Manufacture and Assembly, revised and

expanded, CRC press.

[12] Combemale, C., Whitefoot, K. S., Ales, L., and Fuchs, E.

R., 2018, "Not All Technological Change is Equal:

Disentangling Labor Demand Effects of Automation and Parts

Consolidation," Available at SSRN 3291686.

[13] Taufik, M., and Jain, P. K., 2013, "Role of build

orientation in layered manufacturing: a review," International

Journal of Manufacturing Technology and Management, 27(1-

3), pp. 47-73.

[14] Jibin, Z., "Determination of optimal build orientation

based on satisfactory degree theory for RPT," Proc. Computer

Aided Design and Computer Graphics, 2005. Ninth

International Conference on, IEEE, p. 6 pp.

[15] Thomas, D. S., and Gilbert, S. W., 2014, "Costs and cost

effectiveness of additive manufacturing," Special Publication,

NIST.

[16] Alexander, P., Allen, S., and Dutta, D., 1998, "Part

orientation and build cost determination in layered

manufacturing," Computer-Aided Design, 30(5), pp. 343-356.

[17] Langelaar, M., 2016, "Topology optimization of 3D selfsupporting structures for additive manufacturing," Additive

Manufacturing, 12, pp. 60-70.

[18] Leary, M., Merli, L., Torti, F., Mazur, M., and Brandt,

M., 2014, "Optimal topology for additive manufacture: a

method for enabling additive manufacture of support-free

optimal structures," Materials & Design, 63, pp. 67


8-690.



[19] Mirzendehdel, A. M., and Suresh, K., 2016, "Support

structure constrained topology optimization for additive

manufacturing," Computer-Aided Design, 81, pp. 1-13.

[20] Paul, R., and Anand, S., 2015, "Optimization of layered

manufacturing process for reducing form errors with minimal

support structures," Journal of Manufacturing Systems, 36, pp.

231-243.

[21] Vanek, J., Galicia, J. A. G., and Benes, B., "Clever

support: Efficient support structure generation for digital

fabrication," Proc. Computer graphics forum, Wiley Online

Library, pp. 117-125.

[22] Boothroyd, G., Dewhurst, P., and Knight, W. A., 2001,

Product Design for Manufacture and Assembly, CRC press.

[23] Yang, S., Santoro, F., and Zhao, Y. F., 2018, "Towards a

numerical approach of finding candidates for additive

manufacturing-enabled part consolidation," Journal of

mechanical design, 140(4), p. 041701.

[24] Chadha, C., Crowe, K., Carmen, C., and Patterson, A.,

2018, "Exploring an AM-enabled combination-of-functions

approach for modular product design," Designs, 2(4), p. 37.

[25] Yang, S., Santoro, F., Sulthan, M. A., and Zhao, Y. F.,

2019, "A numerical-based part consolidation candidate

detection approach with modularization considerations,"

Research in Engineering Design, 30(1), pp. 63-83.

[26] Nyaluke, A., Nasser, B., Leep, H. R., and Parsaei, H. R.,

1996, "Rapid prototyping work space optimization,"

Computers and industrial engineering, 31(1-2), pp. 103-106.

[27] Canellidis, V., Dedoussis, V., Mantzouratos, N., and

Sofianopoulou, S., 2006, "Pre-processing methodology for

optimizing stereolithography apparatus build performance,"

Computers in industry, 57(5), pp. 424-436.

[28] Wodziak, J. R., Fadel, G. M., and Kirschman, C., "A

genetic algorithm for optimizing multiple part placement to

reduce build time," Proc. Proceedings of the Fifth

International Conference on Rapid Prototyping, University of

Dayton Dayton, OH, pp. 201-210.

[29] Zhang, X., Zhou, B., Zeng, Y., and Gu, P., 2002, "Model

layout optimization for solid ground curing rapid prototyping

processes," Robotics and Computer-Integrated Manufacturing,

18(1), pp. 41-51.

[30] Hur, S.-M., Choi, K.-H., Lee, S.-H., and Chang, P.-K.,

2001, "Determination of fabricating orientation and packing in

SLS process," Journal of Materials Processing Technology,

112(2-3), pp. 236-243.

[31] Canellidis, V., Giannatsis, J., and Dedoussis, V., 2013,

"Efficient parts nesting schemes for improving

stereolithography utilization," Computer-Aided Design, 45(5),

pp. 875-886.

[32] Zhang, Y., Gupta, R. K., and Bernard, A., 2016, "Twodimensional placement optimization for multi-parts production

in additive manufacturing," Robotics and Computer-Integrated

Manufacturing, 38, pp. 102-117.

[33] Gogate, A., and Pande, S., 2008, "Intelligent layout

planning for rapid prototyping," International Journal of

Production Research, 46(20), pp. 5607-5631.

[34] Wu, S., Kay, M., King, R., Vila-Parrish, A., and Warsing,

D., "Multi-objective optimization of 3D packing problem in

additive manufacturing," Proc. IIE Annual Conference. 

Proceedings, Institute of Industrial and Systems Engineers

(IISE), p. 1485.

[35] Pandey, P. M., Thrimurthulu, K., and Reddy, N. V., 2004,

"Optimal part deposition orientation in FDM by using a

multicriteria genetic algorithm," International Journal of

Production Research, 42(19), pp. 4069-4089.

[36] Thrimurthulu, K., Pandey, P. M., and Reddy, N. V., 2004,

"Optimum part deposition orientation in fused deposition

modeling," International Journal of Machine Tools and

Manufacture, 44(6), pp. 585-594.

[37] Phatak, A. M., and Pande, S. S., 2012, "Optimum part

orientation in rapid prototyping using genetic algorithm,"

Journal of manufacturing systems, 31(4), pp. 395-402.

[38] Huang, R., Ulu, E., Kara, L. B., and Whitefoot, K. S.,

"Cost Minimization in Metal Additive Manufacturing Using

Concurrent Structure and Process Optimization," Proc. ASME

2017 International Design Engineering Technical Conferences

and Computers and Information in Engineering Conference,

American Society of Mechanical Engineers, pp.

V02AT03A030-V002AT003A030.

[39] Johnson, M., and Kirchain, R., 2009, "Quantifying the

effects of parts consolidation and development costs on

material selection decisions: A process-based costing

approach," International Journal of Production Economics,

119(1), pp. 174-186.

[40] Rickenbacher, L., Spierings, A., and Wegener, K., 2013,

"An integrated cost-model for selective laser melting (SLM),"

Rapid Prototyping Journal, 19(3), pp. 208-214.

[41] Ulu, E., Huang, R., Kara, L. B., and Whitefoot, K. S.,

2018, "Concurrent Structure and Process Optimization for

Minimum Cost Metal Additive Manufacturing," Journal of

Mechanical Design.

[42] Baumers, M., Dickens, P., Tuck, C., and Hague, R., 2016,

"The cost of additive manufacturing: machine productivity,

economies of scale and technology-push," Technological

forecasting social change, 102, pp. 193-201.

[43] Dinda, S., Modi, D., Simpson, T. W., Tedia, S., and

Williams, C. B., "Expediting Build Time, Material, and Cost

Estimation for Material Extrusion Processes to Enable Mobile

Applications," Proc. ASME 2017 International Design

Engineering Technical Conferences and Computers and

Information in Engineering Conference, American Society of

Mechanical Engineers, pp. V02AT03A034-V002AT003A034.

[44] Ruffo, M., Tuck, C., and Hague, R., 2006, "Cost

estimation for rapid manufacturing-laser sintering production

for low to medium volumes," Proceedings of the Institution of

Mechanical Engineers, Part B: Journal of Engineering

Manufacture, 220(9), pp. 1417-1427.

[45] Yim, S., and Rosen, D., "Build time and cost models for

additive manufacturing process selection," Proc. ASME 2012

international design engineering technical conferences and

computers and information in engineering conference,

American Society of Mechanical Engineers, pp. 375-382.

[46] Ulu, E., Korkmaz, E., Yay, K., Ozdoganlar, O. B., and

Kara, L. B., 2015, "Enhancing the structural performance of

additively manufactured objects through build orientation

optimization," Journal of Mechanical Design, 137(11), p.

111410


[47] Gong, H., Rafi, K., Gu, H., Starr, T., and Stucker, B.,

2014, "Analysis of defect generation in Ti–6Al–4V parts made

using powder bed fusion additive manufacturing processes,"

Additive Manufacturing, 1, pp. 87-98.

[48] Murr, L. E., Gaytan, S. M., Ramirez, D. A., Martinez, E.,

Hernandez, J., Amato, K. N., Shindo, P. W., Medina, F. R.,

and Wicker, R. B., 2012, "Metal fabrication by additive

manufacturing using laser and electron beam melting

technologies," Journal of Materials Science and Technology,

28(1), pp. 1-14.

[49] Nie, Z., Wang, G., McGuffin-Cawley, J. D., Narayanan,

B., Zhang, S., Schwam, D., Kottman, M., and Rong, Y. K.,

2016, "Experimental Study and Modeling of H13 Steel Deposition Using Laser Hot-Wire Additive Manufacturing," Journal of Materials Processing Technology, 235, pp. 171-186.

[50] Toh, W. Q., Wang, P., Tan, X., Nai, M. L. S., Liu, E., and

Tor, S. B., 2016, "Microstructure and wear properties of

electron beam melted Ti-6Al-4V parts: A comparison study

against as-cast form," Metals, 6(11), p. 284.

[51] Inc., S., 2015, "Advantages of Wire AM vs. Powder AM," http://www.sciaky.com/additive-manufacturing/wiream-vs-powder-am.

[52] Gockel, J., Beuth, J., and Taminger, K., 2014, "Integrated control of solidification microstructure and melt pool dimensions in electron beam wire feed additive manufacturing of Ti-6Al-4V," Additive Manufacturing, 1-4, pp. 119-126.

[53] Chen, N., and Frank, M. C., "A method for metal AM support structure design to facilitate removal," Proc. Solid Freeform Fabrication, pp. 1516-1524.

[54] Vaidya, R., and Anand, S. J. P. M., 2016, "Optimum support structure generation for additive manufacturing using unit cell structures and support removal constraint," 5, pp.1043-1059.



Additive Manufacturing - Optimization of Part Consolidation for Minimum Production Costs and Production Time

Optimization of Part Consolidation for Minimum Production Costs and Time Using Additive Manufacturing

Zhenguo Nie, Sangjin Jung, Levent Burak Kara, Kate S. Whitefoot

Mechanical Engineering, Carnegie Mellon University

Engineering and Public Policy, Carnegie Mellon University

Pittsburgh, PA, USA

https://meche.engineering.cmu.edu/_files/images/research-groups/whitefoot-group/NJKW-OptPartConsolidation-JMD.pdf





Selected References

[1] Yang, S., Talekar, T., Sulthan, M. A., and Zhao, Y. F., 2017, "A Generic Sustainability Assessment Model towards Consolidated Parts Fabricated by Additive Manufacturing Process," Procedia manufacturing, 10, pp. 831-844.

[2] Yang, S., Tang, Y., and Zhao, Y. F., 2015, "A new part consolidation method to embrace the design freedom of additive manufacturing," Journal of Manufacturing Processes, 20, pp. 444-449.

[3] Yang, S., and Zhao, Y. F., 2015, "Additive manufacturing enabled design theory and methodology: a critical review," The International Journal of Advanced Manufacturing Technology, 80(1), pp. 327-342.

[7] Schmelzle, J., Kline, E. V., Dickman, C. J., Reutzel, E. W., Jones, G., and Simpson, T. W., 2015, "(Re) Designing for part consolidation: understanding the challenges of metal additive manufacturing," Journal of Mechanical Design, 137(11), p.111404.

[8] Frey, D., Palladino, J., Sullivan, J., and Atherton, M., 2007, "Part count and design of robust systems," Systems engineering, 10(3), pp. 203-221.

[9] Türk, D.-A., Kussmaul, R., Zogg, M., Klahn, C., Leutenecker-Twelsiek, B., and Meboldt, M., 2017,

"Composites part production with additive manufacturing technologies," Procedia CIRP, 66, pp. 306-311.

[10] Booker, J., Swift, K., and Brown, N., 2005, "Designing for assembly quality: strategies, guidelines and techniques," Journal of Engineering design, 16(3), pp. 279-295.

[11] Boothroyd, G., Dewhurst, P., and Knight, W. A., 2001, Product Design for Manufacture and Assembly, revised and expanded, CRC press.

[12] Combemale, C., Whitefoot, K. S., Ales, L., and Fuchs, E. R., 2018, "Not All Technological Change is Equal: Disentangling Labor Demand Effects of Automation and Parts Consolidation," Available at SSRN 3291686.

[13] Taufik, M., and Jain, P. K., 2013, "Role of build orientation in layered manufacturing: a review," International Journal of Manufacturing Technology and Management, 27(1-3), pp. 47-73.

[14] Jibin, Z., "Determination of optimal build orientation based on satisfactory degree theory for RPT," Proc. Computer Aided Design and Computer Graphics, 2005. Ninth International Conference on, IEEE, p. 6 pp.

[15] Thomas, D. S., and Gilbert, S. W., 2014, "Costs and cost effectiveness of additive manufacturing," Special Publication, NIST.

[16] Alexander, P., Allen, S., and Dutta, D., 1998, "Part orientation and build cost determination in layered manufacturing," Computer-Aided Design, 30(5), pp. 343-356.

[17] Langelaar, M., 2016, "Topology optimization of 3D selfsupporting structures for additive manufacturing," Additive Manufacturing, 12, pp. 60-70.

[18] Leary, M., Merli, L., Torti, F., Mazur, M., and Brandt, M., 2014, "Optimal topology for additive manufacture: a method for enabling additive manufacture of support-free optimal structures," Materials & Design, 63, pp. 678-690.

[19] Mirzendehdel, A. M., and Suresh, K., 2016, "Support

structure constrained topology optimization for additive

manufacturing," Computer-Aided Design, 81, pp. 1-13.

[20] Paul, R., and Anand, S., 2015, "Optimization of layered

manufacturing process for reducing form errors with minimal

support structures," Journal of Manufacturing Systems, 36, pp.

231-243.

[21] Vanek, J., Galicia, J. A. G., and Benes, B., "Clever

support: Efficient support structure generation for digital

fabrication," Proc. Computer graphics forum, Wiley Online

Library, pp. 117-125.

[22] Boothroyd, G., Dewhurst, P., and Knight, W. A., 2001,

Product Design for Manufacture and Assembly, CRC press.

[23] Yang, S., Santoro, F., and Zhao, Y. F., 2018, "Towards a

numerical approach of finding candidates for additive

manufacturing-enabled part consolidation," Journal of

mechanical design, 140(4), p. 041701.

[24] Chadha, C., Crowe, K., Carmen, C., and Patterson, A.,

2018, "Exploring an AM-enabled combination-of-functions

approach for modular product design," Designs, 2(4), p. 37.

[25] Yang, S., Santoro, F., Sulthan, M. A., and Zhao, Y. F.,

2019, "A numerical-based part consolidation candidate

detection approach with modularization considerations,"

Research in Engineering Design, 30(1), pp. 63-83.

[26] Nyaluke, A., Nasser, B., Leep, H. R., and Parsaei, H. R.,

1996, "Rapid prototyping work space optimization,"

Computers and industrial engineering, 31(1-2), pp. 103-106.

[27] Canellidis, V., Dedoussis, V., Mantzouratos, N., and

Sofianopoulou, S., 2006, "Pre-processing methodology for

optimizing stereolithography apparatus build performance,"

Computers in industry, 57(5), pp. 424-436.

[28] Wodziak, J. R., Fadel, G. M., and Kirschman, C., "A

genetic algorithm for optimizing multiple part placement to

reduce build time," Proc. Proceedings of the Fifth

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