Planning Production and Inventories in the Extended Enterprise

Preface.- The Historical Foundations of Manufacturing Planning and Control Systems.- Advanced Planning and Scheduling Systems: The Quest to Leverage ERP for Better Planning.- The Transition to Sustainable Product Development and Manufacturing.- Uncertainty and Production Planning.- Demand Forcasting Problems in Production Planning.- Production Capacity: Its Bases, Functions and Measurement.- Data in Production and Supply Chain Planning.- Challenges in Financial Modeling.- Field Based Research on Production Control.- Collaborative Supply Chain Management.- Sequencing Strategies and Coordination.- Issues in Outsourcing and Subcontracting Operations.- Inventory Management: Information, Coordination and Rationality.- Pricing, Variety and Inventory Decisions for Product Lines of Subsititutable Items.- Managing Perishable and Aging Inventories: Review and Future Research Directions.- Optimization Models of Production Planning Problems.- Aggregate Modeling of Manufacturing Systems.- Robust Stability Analysis of Decentralized Supply Chains.- Simulation in Production Planning: An Overview with Emphasis on Recent Developments in Cycle Time Estimation.- Simulation Optimization in Support of Tectical and Strategic Enterprise Decisions.

Karl G. Kempf is an Intel Fellow and director of Decision Engineering for the Intel Architecture Group at Intel Corporation. He currently focuses on product design and development decision problems, and previously was responsible for supply chain decision problems in Intel's Technology and Manufacturing Group. Kempf joined Intel in 1987 and is based in Phoenix, Arizona. He has been involved in designing and implementing decision policies for production scheduling, equipment maintenance, factory ramp management, equipment selection and layout, strategic and tactical production planning, inventory planning, demand forecasting, logistics operations and product design, as well as a wide variety of modeling and simulation projects. He has produced more than 50 internal publications. Kempf is a member of the National Academy of Engineering. He serves as adjunct professor at Arizona State University supervising graduate students in Mathematics, Computer Science, Industrial Engineering, and Supply Chain Management. Kempf has published more than 100 research papers in the external literature on various topics in heuristic and mathematical decision science, and has delivered keynote addresses at a number of national and international conferences. Prior to joining Intel, Kempf worked at McDonnell Douglas Corporation in St. Louis, Missouri, and Huntington Beach, California, where he was a member of the team that won the contract for automating the initial National Aeronautics and Space Administration Space Station. He worked previously at Pinewood Movie Studios in England where he participated in filming three Superman movies, serving on the team that won an Academy Award for special effects. While working for Ferrari in Italy (on loan from Goodyear), he was involved in winning three Formula I Gran Prix World Championships. Kempf holds a B.S. in Chemistry, a B.A. in Physics, a Ph.D. in Applied Mathematics, and completed post-doctoral studies in Computer Science. PinarKeskinocak

From the reviews:"A handbook on this topic is a valuable resource for academics and practitioners who want to access information or research a related topic. ... The objective is to bridge the gap between quantitative academic research on decision support models and algorithms and the practical needs of industry. The book achieves this by giving a state-of-the-art overview of theory, methodologies, modeling approaches, and industrial practices, and by identifying gaps that future should address. ... Volume 1 summarize historical and recent challenges."­­­ (Stefan Minner, Interfaces, Vol. 41 (5), September-October, 2011)

From the reviews:"A handbook on this topic is a valuable resource for academics and practitioners who want to access information or research a related topic. ... The objective is to bridge the gap between quantitative academic research on decision support models and algorithms and the practical needs of industry. The book achieves this by giving a state-of-the-art overview of theory, methodologies, modeling approaches, and industrial practices, and by identifying gaps that future should address. ... Volume 1 summarize historical and recent challenges." (Stefan Minner, Interfaces, Vol. 41 (5), September-October, 2011)