Contributors

Contributors

About Our Authors

About the Authors

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Focus on Authors

Purpose The following article is a “Q&A interview” conducted by Joanne Pransky of Industrial Robot Journal as a method to impart the combined technological, business, and personal experience of a prominent, robotic industry PhD and inventor regarding his pioneering efforts and the commercialization of bringing a technological invention to market. The paper aims to discuss these issues. Design/methodology/approach The interviewee is Dr Ken Goldberg, an inventor working at the intersection of art, robotics, and social media. He joined the UC Berkeley faculty in 1995 where he is the UC Berkeley William S. Floyd Jr Distinguished Chair in Engineering and recently served as Chair of the Industrial Engineering and Operations Research Department. He has secondary appointments in UC Berkeley’s Electrical Engineering/Computer Science, Art Practice and the School of Information. Goldberg also holds an appointment at the UC San Francisco Medical School’s Department of Radiation Oncology where he pursues research in medical robotics. Goldberg is Director of the CITRIS “People and Robots” Initiative and the UC Berkeley’s Laboratory for Automation Science and Engineering (AUTOLAB) where he and his students research machine learning for robotics and automation in warehouses, homes, and operating rooms. In this interview, Goldberg shares some of his personal and business perspectives from his career-long pursuit of making robots less clumsy. Findings Goldberg earned dual BS degrees in Electrical Engineering and Economics from the University of Pennsylvania in 1984, and MS and PhD degrees in Computer Science from Carnegie Mellon University in 1990. Goldberg also studied at Edinburgh University and the Technion. From 1991-95 he taught at the University of Southern California, and in fall 2000, he was visiting faculty at the MIT Media Lab. Goldberg and his students pursue research in three primary areas: Geometric Algorithms for Automation, Cloud Robotics, and Robot Learning. Originality/value Goldberg developed the first complete algorithms for part feeding and part fixturing, and developed the first robot on the Internet. His inventions have been awarded nine US Patents. Goldberg has published over 250 peer-reviewed technical papers and edited four books. He co-founded and served as Editor-in-Chief of the IEEE Transactions on Automation Science and Engineering (T-ASE). He is also Co-Founder of the Berkeley AI Research (BAIR) Lab, the Berkeley Center for New Media (BCNM), the African Robotics Network (AFRON), the Center for Automation and Learning for Medical Robotics (CAL-MR), the CITRIS Data and Democracy Initiative (DDI), Hybrid Wisdom Labs, and Moxie Institute. He has presented over four hundred keynote and invited lectures. Goldberg's artwork, closely linked with his research, has appeared in over seventy venues. Ken was awarded the Presidential Faculty Fellowship in 1995 by Bill Clinton, the Joseph Engelberger Robotics Award in 2000, elected IEEE Fellow in 2005, and selected by the IEEE Robotics and Automation Society for the George Saridis Leadership Award in 2016.

Notes on Contributors

Sue Abdinnour (“ Hawker Beechcraft Uses a New Solution Approach to Balance Assembly Lines ”) is a professor of operations management and holds the Verne and Helen Omer Professorship in Business in the W. Frank Barton School of Business at Wichita State University. Her work has been published in journals such as Decision Sciences, International Journal of Production Research, European Journal of Operational Research, and the Annals of Operations Research. Sue engages in consulting that assists companies in modeling their processes and improving their operations. She has won several research and teaching awards during her career. Marc Albers (“ Optimizing Railway Crew Scheduling at DB Schenker ”) works as a consultant for Bayer Business Services. Prior to joining Bayer he worked at the University of Cologne, where he received his doctoral degree. His fields of interest include crew scheduling, supply chain management, and business intelligence. Jude Buquid (“ HD Supply Facilities Maintenance Uses Diluted Discounts to Optimize Purchasing Opportunities ”) is the director of inventory management and logistics planning at HD Supply Facilities Maintenance. He has more than 15 years of experience across the supply chain in duties that include outbound fulfillment and freight cost optimization, applying academic theory to the realities of modern inventory management, and striking the right balance of speed and cost at which products can be delivered. He is currently focused on optimizing the company's network footprint from an inventory perspective as well as developing strategies to increase throughput through distribution centers. He holds a BS in logistics and economics from the University of Maryland at College Park and an MSBA in finance from San Diego State University. Philip Hans Franses (“ Averaging Model Forecasts and Expert Forecasts: Why Does It Work? ”) is professor of econometrics and professor of marketing research, both affiliated with the Erasmus School of Economics. His research interests concern marketing, empirical finance, applied econometrics, and forecasting. He publishes on these topics in a variety of academic journals including Interfaces, the Journal of Marketing Research, and the Journal of Econometrics. Currently he serves as the Dean of the Erasmus School of Economics, serving 5,000 students and 400 staff. Kevin C. Furman (“ Feedstock Routing in the ExxonMobil Downstream Sector ”) has been a leader of various programs and teams related to optimization and logistics research and software application development across multiple ExxonMobil affiliates. He received his PhD in chemical engineering from the University of Illinois at Urbana–Champaign. His eight years at ExxonMobil have focused on research, development, and leadership in the areas of OR and process systems engineering. David Gibson (“ HD Supply Facilities Maintenance Uses Diluted Discounts to Optimize Purchasing Opportunities ”) is the manager of logistics planning at HD Supply Facilities Maintenance and has been working within the field of operations and inventory management for the past seven years. His areas of expertise include process improvement, working capital optimization, and distribution center slotting efficiency. He is a leader in reshaping the corporate culture at HD Supply Facilities Maintenance by demonstrating innovative ways that data can be used to make decisions. He is a graduate of San Diego State University and holds a BS in financial services. Knut Haase (“ Optimizing Railway Crew Scheduling at DB Schenker ”) is a professor in the School of Business, Economics, and Social Sciences at the University of Hamburg. He received his PhD and his habilitation at the University of Kiel. His current research areas focus on crew scheduling, discrete choice models, line planning, pilgrim scheduling, and revenue management. Paul Huppert (“ HD Supply Facilities Maintenance Uses Diluted Discounts to Optimize Purchasing Opportunities ”) received his degree in business administration from San Diego State University. He is a supply chain manager for HD Supply. He has over 12 years experience in real-world inventory optimization including the implementation of supply chain systems that support the function. He is certified by the Institute of Business Forecasting as a Professional Forecaster. Silke Jütte (“ Optimizing Railway Crew Scheduling at DB Schenker ”) is a research assistant in the Department of Supply Chain Management at the University of Cologne. She has studied business mathematics at the University of Kaiserslautern and worked as a process manager at DHL. She is writing her PhD thesis in the field of crew scheduling. Gary R. Kocis (“ Feedstock Routing in the ExxonMobil Downstream Sector ”) is a senior technologist with ExxonMobil Research and Engineering Company, presently working in the supply chain optimization field. During his 10 years with ExxonMobil, he has developed and applied optimization-based solutions to refinery planning and scheduling, and logistics optimization. He has 22 years of experience as a mathematical programming practitioner, having worked in systems development for Shell Oil Company and the ROMeo online optimization tool for Invensys. Michael K. McDonald (“ Feedstock Routing in the ExxonMobil Downstream Sector ”) is an ExxonMobil Global feedstocks trader. He has been trading refining intermediates and products, and natural gas for 15 years. Jin-Hwa Song (“ Feedstock Routing in the ExxonMobil Downstream Sector ”) leads optimization research at Corporate Strategic Research, ExxonMobil Research and Engineering Company. He received his PhD from the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Institute of Technology. Since joining ExxonMobil, he has been working on various projects related to optimization and decision science, as well as science-build research programs with several universities. Ulrich W. Thonemann (“ Optimizing Railway Crew Scheduling at DB Schenker ”) is a professor in the Department of Supply Chain Management at the University of Cologne. He received his PhD from Stanford University and worked as a management consultant at McKinsey & Company. His current research areas focus on crew scheduling, inventory optimization, and behavioral operations. Joris van de Klundert (“ ANWB Automates and Improves Service Personnel Dispatching ”) holds an MSc in computer science from Erasmus University Rotterdam and a PhD in OR from Maastricht University. He has served as the founding director of Mateum, a Maastricht University spin-off delivering OR-based software and consultancy services. After being appointed professor of value chain optimization at Maastricht University, he returned to Erasmus University Rotterdam in 2009 to chair the Department of Health Services Management and Organisation. His main research interests are in the contributions of management science to networks of health-service organizations. Peter van Huigenbosch (“ ANWB Automates and Improves Service Personnel Dispatching ”) is trained as a military officer and holds a bachelor's degree in automotive mechanics. He has worked in various positions at ANWB since 1992. He became involved in dispatch services while doing his MBA, which he earned in 2003. He is logistics manager at ANWB responsible for all supporting departments involved in assisting 1,250,000 stranded motorists annually. Philip H. Warrick (“ Feedstock Routing in the ExxonMobil Downstream Sector ”) is a Distinguished Engineering Associate with ExxonMobil Research and Engineering Company. He is responsible for the supply chain technology team. His 30-year career at ExxonMobil has concentrated on the downstream of the oil business, including responsibilities for supply, transportation and refinery operations and planning, cargo trading, and the development and application of optimization technology to refining and logistics. Laurens Wormer (“ ANWB Automates and Improves Service Personnel Dispatching ”) holds an MSc in OR from Maastricht University. He works for Mateum, a company providing advanced planning and optimization solutions for complex and innovative business processes. His main interests lie in developing decision support systems with state-of-the-art OR techniques that improve customer satisfaction and operational efficiency in health, home-care, and service organizations.

Modern engineering study programme made to fit the needs of industrial enterprises. The programme is based on training and education in the field of industrial engineering and on experience gained during implementation of individual projects in industrial enterprises. Many universities offer courses, in areas such as logistics, supply chain management and analytics. In this study, the importance of courses in industrial engineering undergraduate programs has been researched. Compulsory and optional courses given in industrial engineering have been investigated under the determined criteria. Research, academics working in the industrial engineering department in Turkey, the proper course of materiality is an implementation of the fuzzy logic survey work on assessing the work. The sample order with 32 samples prepared by the academicians responding to the questionnaire was determined with «Fuzzy MOORA» technique as compulsory and optional courses. Studies on course selection were examined, to the best of our knowledge this is the first study using «Fuzzy MOORA» technique to select/rank courses. It is evaluated that MOORA method, which is a new criterion decision method for course choice, will contribute to international literature as «Fuzzy MOORA» approach with fuzzy logic.

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Prelims

Mathematical modeling is both a skill and an art and must be practiced in order to maintain and enhance the ability to use those skills. Though the topics covered in this book are the typical topics of most mathematical modeling courses, this book is best used for individuals or groups who have already taken an introductory mathematical modeling course. Advanced Mathematical Modeling with Technology will be of interest to instructors and students offering courses focused on discrete modeling or modeling for decision making. Each chapter begins with a problem to motivate the reader. The problem tells "what" the issue is or problem that needs to be solved. In each chapter, the authors apply the principles of mathematical modeling to that problem and present the steps in obtaining a model. The key focus is the mathematical model and the technology is presented as a method to solve that model or perform sensitivity analysis. We have selected , where applicable to the content because of their wide accessibility. The authors utilize technology to build, compute, or implement the model and then analyze the it. Features: MAPLE©, Excel©, and R© to support the mathematical modeling process. Excel templates, macros, and programs are available upon request from authors. Maple templates and example solution are also available. Includes coverage of mathematical programming. The power and limitations of simulations is covered. Introduces multi-attribute decision making (MADM) and game theory for solving problems. The book provides an overview to the decision maker of the wide range of applications of quantitative approaches to aid in the decision making process, and present a framework for decision making. Table of Contents 1. Perfect Partners: Mathematical Modeling and Technology 2. Review of Modeling with Discrete Dynamical Systems and Modeling Systems of DDS 3. Modeling with Differential Equations 4. Modeling System of Ordinary Differential Equation 5. Regression and Advanced Regression Methods and Models 6. Linear, Integer and Mixed Integer Programming 7. Nonlinear Optimization Methods 8. Multivariable Optimization 9. Simulation Models 10. Modeling Decision Making with Multi-Attribute Decision Modeling with Technology 11. Modeling with Game Theory 12. Appendix Using R Index Biographies Dr. William P. Fox is currently a visiting professor of Computational Operations Research at the College of William and Mary. He is an emeritus professor in the Department of Defense Analysis at the Naval Postgraduate School and teaches a three-course sequence in mathematical modeling for decision making. He received his Ph.D. in Industrial Engineering from Clemson University. He has taught at the United States Military Academy for twelve years until retiring and at Francis Marion University where he was the chair of mathematics for eight years. He has many publications and scholarly activities including twenty plus books and one hundred and fifty journal articles. Colonel (R) Robert E. Burks, Jr., Ph.D. is an Associate Professor in the Defense Analysis Department of the Naval Postgraduate School (NPS) and the Director of the NPS’ Wargaming Center. He holds a Ph.D. in Operations Research form the Air Force Institute of Technology. He is a retired logistics Army Colonel with more than thirty years of military experience in leadership, advanced analytics, decision modeling, and logistics operations who served as an Army Operations Research analyst at the Naval Postgraduate School, TRADOC Analysis Center, United States Military Academy, and the United States Army Recruiting Command.

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The Oxford Handbook of corporate governance

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