PRINCIPLES OF INDUSTRIAL ENGINEERING.
IISE 2017 Pittsburgh Conference Presentation Video.
https://www.youtube.com/watch?v=pU8CdWfZZdU
Reaching 10,000 Views. Presently 9500+
Functions and Focus Areas of Industrial Engineering.
2016, Udyog Pragati, Journal of NITIE.
https://www.academia.edu/42302708/Functions_and_Focus_Areas_of_Industrial_Engineering
Free Download EBook (122 pages). 8985+ Downloads/Reads so far.
INTRODUCTION TO MODERN INDUSTRIAL ENGINEERING.
Download from:
https://academia.edu/103626052/INTRODUCTION_TO_MODERN_INDUSTRIAL_ENGINEERING_Version_3_0
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What is expected in each research paper? They have to focus on one or more of these following areas.
Productivity Science (Industrial Engineering Science), Productivity Engineering (Industrial Engineering) Productivity Management (Industrial Engineering Management)
Each research paper giving contribution to science has to bring out implications for Productivity Engineering (Industrial Engineering) Productivity Management (Industrial Engineering Management).
Productivity Science (Industrial Engineering Science) - Exploration, Description, Causal Explanation, Validation, Theory improvement (Creating a new theory based on earlier paper by refining theory).
Productivity Engineering (Industrial Engineering) - Invention, Commercialization, Design Formulas, Innovations (Applications in new (different) products or processes).
Productivity Management (Industrial Engineering Management). Management of industrial engineering activities, studies, projects and departments.
https://iise.confex.com/iise/2024/meetingapp.cgi/Subject/42
Manufacturing & Design - Session Plan
Sunday, May 19, 2024
8:00 AM - 9:20 AM
Composites in Additive Manufacturing
524C (5th Floor, PCM)
8:00 AM - 9:20 AM
Manufacturing & Design Best Track Paper
525B (5th Floor, PCM)
8:00 AM - 9:20 AM
Manufacturing process models
524B (5th Floor, PCM)
12:00 PM - 1:20 PM
Cybersecurity in Manufacturing
524B (5th Floor, PCM)
12:00 PM - 1:20 PM
Directed Energy Deposition Additive Manufacturing Processes
524C (5th Floor, PCM)
12:00 PM - 1:20 PM
M&D Best Student Paper Competition
525B (5th Floor, PCM)
1:30 PM - 2:50 PM
Fused Deposition Modeling Additive Manufacturing Processes
524C (5th Floor, PCM)
1:30 PM - 2:50 PM
Manufacturing & Design Division Board Meeting (by invitation only)
524B (5th Floor, PCM)
1:30 PM - 2:50 PM
Single Setup CAM for Hybrid manufacturing and Metrology
525B (5th Floor, PCM)
3:00 PM - 4:20 PM
Digital Manufacturing and Industry 4.0-I
525B (5th Floor, PCM)
3:00 PM - 4:20 PM
Manufacturing & Design Town Hall
524B (5th Floor, PCM)
3:00 PM - 4:20 PM
Sensing and Control in Additive Manufacturing Processes I
524C (5th Floor, PCM)
4:30 PM - 5:50 PM
Digital Manufacturing and Industry 4.0-II
525B (5th Floor, PCM)
4:30 PM - 5:50 PM
Sensing and Control in Additive Manufacturing Processes-II
524C (5th Floor, PCM)
Monday, May 20, 2024
8:00 AM - 9:20 AM
Bioprinting and Biomedical Manufacturing Processes-I
524B (5th Floor, PCM)
8:00 AM - 9:20 AM
Mechanical Characterization in Additive Manufacturing Processes
525A (5th Floor, PCM)
8:00 AM - 9:20 AM
Process Planning-I
524C (5th Floor, PCM)
12:00 PM - 1:20 PM
Bioprinting and Biomedical Manufacturing Processes-II
524B (5th Floor, PCM)
12:00 PM - 1:20 PM
Process Planning-II
524C (5th Floor, PCM)
1:30 PM - 2:50 PM
Bioprinting and Biomedical Manufacturing Processes-III
524B (5th Floor, PCM)
1:30 PM - 2:50 PM
NSF Advanced Manufacturing and Manufacturing Systems Integration Program
524C (5th Floor, PCM)
3:00 PM - 4:20 PM
Digital Thread in Additive Manufacturing Processes
524B (5th Floor, PCM)
3:00 PM - 4:20 PM
Hybrid Manufacturing Processes
524C (5th Floor, PCM)
3:00 PM - 4:20 PM
ISE Body of Knowledge – Discussion of Manufacturing and Design-related Contents
525A (5th Floor, PCM)
4:30 PM - 5:50 PM
Digital Manufacturing and Industry 4.0-III
525A (5th Floor, PCM)
4:30 PM - 5:50 PM
Inkjet Additive Manufacturing Processes
524C (5th Floor, PCM)
4:30 PM - 5:50 PM
Manufacturing process improvement
524B (5th Floor, PCM)
Tuesday, May 21, 2024
8:00 AM - 9:20 AM
Digital Manufacturing and Industry 4.0-IV
524B (5th Floor, PCM)
12:00 PM - 1:20 PM
Machine Learning in Manufacturing I
524B (5th Floor, PCM)
1:30 PM - 2:50 PM
Advancements in Bioprinting: Techniques, Materials, and Applications
524B (5th Floor, PCM)
3:00 PM - 4:20 PM
Machine Learning in Manufacturing-II
524B (5th Floor, PCM)
Individual Sessions
Digital Manufacturing and Industry 4.0-I
Sunday, May 19, 2024
3:00 PM - 4:20 PM
525B (5th Floor, Palais des Congres de Montreal)
Program: Oral Presentations
Track: Manufacturing & Design
Chair: Roohollah Sinaki, Northern Illinois University
Presentations
3:00 PM
Predictive Maintenance Using Internet-of-Things: An Exploratory Case Study for Small and Medium Manufacturer Applications
Julia Bitencourt, Diane Pham, Tianyu Gao and Dr. Jia Liu, Auburn University, Auburn, AL
3:20 PM
Leveraging Sensor Data Repository in IoT-Enabled Lean Manufacturing: A Window Manufacturer Case Study
Faiza Zehra, Braian Rivera, Mr. Nathan Wieczorek, Dr. Sajid Ullah Butt, Dr. Nooshin Salari and Dr. Ahmed Qureshi, University of Alberta, Edmonton, AB, Canada
3:40 PM
Towards a Robust Deep Reinforcement Learning for Optimization of Heating Setup in Thermoforming Process
Iman Jalilvand, Bhushan Gopaluni and Abbas S. Milani, Materials and Manufacturing Research Institute, The University of British Columbia, Kelowna, BC, Canada
4:00 PM
Navigating the Operational Landscape: Addressing Challenges for Successful Implementation of Industry 4.0 in Manufacturing Environments
Dr. Roohollah Sinaki, Northern Illinois University, DeKalb, IL and Dr. Azadeh Sadeghi, University of Michigan-Flint, Flint, MI
https://iise.confex.com/iise/2024/meetingapp.cgi/Session/2066
Prior Work
Industrial Engineering 4.0 - Computer Aided Industrial Engineering: Work Systems Analysis in Industry 4.0
Rao, Kambhampati Venkata Satya Surya Narayana; Rathod, Aniket. IIE Annual Conference. Proceedings; Norcross (2021): 49-54.
https://www.proquest.com/openview/d32ef32bbaa911d170e046479790c035/1
Industrial Engineering 4.0 - Industry 4.0 - Productivity Benchmarking Resource. 25 Case Studies - WEF McKinsey Industry 4.0 Lighthouses
https://nraoiekc.blogspot.com/2024/05/industrial-engineering-40-industry-40.html
It is important for industrial engineers to benchmark their processes with industry 4.0 lighthouses identified by WEF-McKinsey Project.
Industrial engineers have to engage in benchmarking activity to improve their organization's processes.
https://nraoiekc.blogspot.com/2023/05/benchmarking-process-productivity-and.html
List of Industry 4.0 Light Houses - WEF - McKinsey - Have You Benchmarked with the Best in Industry 4.0 Implementation?
https://nraoiekc.blogspot.com/2024/01/list-of-industry-40-light-houses-wef.html
Digital Manufacturing and Industry 4.0-II
Sunday, May 19, 2024
4:30 PM - 5:50 PM
525B (5th Floor, Palais des Congres de Montreal)
Program: Oral Presentations
Track: Manufacturing & Design
Chair Amarnath Banerjee, Texas A&M University
Presentations
4:30 PM
EVERYDAY MANUFACTURING: IDENTIFYING FIRST-YEAR ENGINEERING STUDENTS’ MANUFACTURING-RELATED EXPERIENCES
Dr. Hannah Budinoff, Jannatul Bushra and Gimantha Perera, The University of Arizona, Tucson, AZ
4:50 PM
Factory Layout Design and Optimization using Production Simulation and Reinforcement Learning
Mr. SeokHwan Yu, Ms. HyeKyung Choi, Mr. DongHyun Lee and Prof. Sang Do Noh, Sungkyunkwan University, Suwon, Korea, Republic of (South)
5:10 PM
Giving Manufacturing Engineers the tools to catch and fix Ergonomics issues in 3D
Mr. Anass Belcharki, ALSTOM, Saint Bruno, Canada, Ms. Véronique Dumais, ALSTOM, LA POCATIERE, QC, Canada, Ms. Anaïs Richard, Alstom, ORNANS, France and Mrs. Julie Charland, Dassault Systèmes, Montréal, QC, Canada
5:30 PM
Prototype of a bidirectional digital twin for an industry 4.0 smart manufacturing facility
Roop Harshit Vankalayapati1, Paul Perkins2, Dr. Bimal Nepal1, Prof. Hamid Parsaei3, Dr. Satish Bukkapatnam4 and Amarnath Banerjee1, (1)Texas A&M University, College Station, TX, (2)Amatrol, Inc., Jeffersonville, IN, (3)Texas A&M University- College Station, College Station, TX, (4)Wm Michael Barnes '64 Department of Industrial & Systems Engineering, Texas A&M University, College Station, TX
https://iise.confex.com/iise/2024/meetingapp.cgi/Session/2068
Digital Manufacturing and Industry 4.0-III
Monday, May 20, 2024
4:30 PM - 5:50 PM
525A (5th Floor, Palais des Congres de Montreal)
Program: Oral Presentations
Track: Manufacturing & Design
Chair: Abdelrahman Farrag, Binghamton University
Presentations
4:30 PM
A Space-Limited Human-Robot Collaborative Assembly Line Balancing Problem with Safety Consideration.
Ms. Mahboobe Kheirabadi, Dr. Samira Keivanpour, Prof. Yuvin Adnarain Chinniah and Prof. Jean-Marc Frayret, P. eng., Ph.D., Polytechnique Montreal, Montreal, QC, Canada
4:50 PM
Optimization of Worker Assignment for a Manual Assembly Production Lines using Reinforcement Learning
Mr. Changha Lee, Mr. Goo-Young Kim, Mr. Junwoo Lim and Prof. Sang Do Noh, Sungkyunkwan University, Suwon, Korea, Republic of (South)
5:10 PM
Enabling Personalized Design with Digital Twin and Generative Design
Garrett Robison and James Noble, University of Missouri, Columbia, MO
5:30 PM
Guided Active Learning Sampling Approach for Large Data: A Case Study on Printed Circuit Board Inspection
Abdelrahman Farrag, Dr. Yu Jin, Dr. Daehan Won and Dr. Sangwon Yoon, Binghamton University, Binghamton, NY
https://iise.confex.com/iise/2024/meetingapp.cgi/Session/2069
Digital Manufacturing and Industry 4.0-IV
Tuesday, May 21, 2024
8:00 AM - 9:20 AM
524B (5th Floor, Palais des Congres de Montreal)
Program: Oral Presentations
Track: Manufacturing & Design
Description
Digital Manufacturing and Industry 4.0-IV
Presentations 8:00 AM
Robotics Assembly by Demonstration via Augmented Reality without Real Demonstration
Dr. Wenhao Yang, Rochester Institute of Technology, Rochester, NY and Dr. Yunbo Zhang, Rochester Institute of Technology, ROCHESTER, NY
8:20 AM
Self-supervised 6-DoF Robot Grasping by Demonstration via Augmented Reality Teleoperation System
Dr. Yunbo Zhang, Rochester Institute of Technology, ROCHESTER, NY, Ms. Xueting Wang, Rochester Institute of Technology, rochester, NY and Mr. Xiwen Dengxiong, Rochester Institute of Technology, Rochester, NY
https://iise.confex.com/iise/2024/meetingapp.cgi/Session/2231
Process Planning-I
Monday, May 20, 2024
8:00 AM - 9:20 AM
524C (5th Floor, Palais des Congres de Montreal)
Program: Oral Presentations
Track: Manufacturing & Design
Chair Jisoo Park, Georgia Institute of Technology
Presentations
8:00 AM
Designing Manufacturing Enterprises System for Industry 4.0
Prof. Ibrahim Garbie, Helwan University, Cairo, Egypt and Mr. Muhammad Garbie, Texas Tech University, Lubbock, TX
8:20 AM
Breakthrough Performance with Lightning Speed Lean
Hannah Dearman-So, Pierce Gruber, Lawrence Nelson, Castor Service and Audrey Vo, Harvey Mudd College, Claremont, CA
8:40 AM
Simulation Analysis of Risk of Job Tardiness as a Measure of Manufacturing System Resilience
Mr. Mohammad Milad Omar, Dr. Dusan Sormaz and Ms. Saruda Seeharit, Ohio University, Athens, OH
https://iise.confex.com/iise/2024/meetingapp.cgi/Session/2078
Process Planning-II
Monday, May 20, 2024
12:00 PM - 1:20 PM
524C (5th Floor, Palais des Congres de Montreal)
Program: Oral Presentations
Track: Manufacturing & Design
Chair Ibrahim Garbie, Helwan University
Presentations
12:00 PM
Towards AI-Enhanced Process Planning: Assessing Machine Tool Capability based on Part Design
Dr. Sepideh Abolghasem, Mr. Matthew Youssef and Mr. Amman Pandde, California State University Northridge, Los Angeles, CA
12:20 PM
Sustainability of Manufacturing Enterprises: a Psychological Perspective of Linking Manufacturing Layers
Prof. Ibrahim Garbie, Helwan University, Cairo, Egypt and Mr. Muhammad Garbie, Texas Tech University, Lubbock, TX
12:40 PM
Object Process Methodology to turning-focused system architecture design for manufacturing
Prithbey Raj Dey, Dr. David Enke and Dr. Mario Buchely, Missouri University of Science and Technology, Rolla, MO
https://iise.confex.com/iise/2024/meetingapp.cgi/Session/2079
Manufacturing process improvement
Monday, May 20, 2024
4:30 PM - 5:50 PM
524B (5th Floor, Palais des Congres de Montreal)
Program: Oral Presentations
Track: Manufacturing & Design
Chair: Hussien Hegab, United Arab Emirates University
Presentations
4:30 PM
Computational Fluid Dynamics Of A Bubbling Fluidized Bed In Wood Pellets
Mr. Opeyemi Fadipe, Prof. Seong Lee, Prof. Guangming Chen and Prof. Steve Efe, Morgan State University, Baltimore, MD
4:50 PM
Ingenious Solutions in Resource Depletion: Enhancing Productivity and Repair Efficiency through Innovative Problem-Solving
Mr. Atta ul Waheed, shipyard and Engineering works, Karachi, Sindh, Pakistan
5:10 PM
Sustainability in Manufacturing: A Guide to Circular Economy Practices and Key Performance Indicators
Ms. Dina AlJamal1, Dr. Rahaf Ajaj2 and Dr. Hussien Hegab1, (1)United Arab Emirates University, Al-Ain, United Arab Emirates, (2)Abu Dhabi University, Abu Dhabi, United Arab Emirates
5:30 PM
A Comparative Study of Manufacturing Methodologies and Their Interconnectedness for Operational Excellence
Ms. Caitlin Tran1, Dr. Gregory Harris1 and Dr. Allison Ledford2, (1)Auburn University, Auburn, AL, (2)Auburn University, Huntsville, AL
This paper will investigate key manufacturing methodologies, including Synchronous Manufacturing, Theory of Constraints, ERP Systems, Lean Manufacturing, Design for Manufacturing, Just-In-Time (JIT), and Computer Integrated Manufacturing (CIM) and provides a comparative analysis of each methodology's frameworks, strengths, and limitations. There is a need to deepen the understanding of their interconnectedness to use multiple methodologies in manufacturing process improvement. The data information flows have an important role in manufacturing optimization. There is need for new methodologies that apply efficiency philosophies to data and information flows to improve and optimize advanced data-driven cyber-physical systems.
https://iise.confex.com/iise/2024/meetingapp.cgi/Session/2075
Manufacturing process models
No presentation is available
https://iise.confex.com/iise/2024/meetingapp.cgi/Session/2076
Prior Work
APO Production Process Model
Technical name: 0APO_PPM
Use
The production process model (PPM) defines the detailed information that is needed to produce a product. The PPM brings the routing and bill of material together in one master data object. Each PPM contains one or more operations. Each operation in turn contains one or more activities that have materials, relationships and resources maintained in them. The activities and resources that have been specified in the PPM, are assigned penalties that are used by both the SNP optimizer and finite planning in Production Planning and Detailed Scheduling (PP/DS).
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NSF Advanced Manufacturing and Manufacturing Systems Integration Program
Monday, May 20, 2024
1:30 PM - 2:50 PM
524C (5th Floor, Palais des Congres de Montreal)
Program: Special Session
Track: Manufacturing & Design
Panelists
B
Linkan Bian
National Science Foundation
T
Janis Terpenny
National Science Foundation
B
Satish Bukkapatnam
National Science Foundation
https://iise.confex.com/iise/2024/meetingapp.cgi/Session/2100
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