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This book describes a variety of quantitative methods that are vital to planning and control in the operations of the industrial world, from suppliers to manufacturing plants to distribution centers and to the dealers and stores. The topics include: forecasting, measuring forecast error, determining the order quantity, safety stock, when and how much inventory to replenish, all this for individual items and for a distribution network where the items are housed in multiple locations. Further quantitative methods are: manufacturing control, just-in-time, assembly, statistical process control, distribution network, supply chain management, transportation and reverse logistics. The methods are proven, practical and doable for mostapplications.
The material inElements of Manufacturing, Distributionand Logistics presents topics that people wantand should know in the work place. Thepresentation is easyto read for students and practitioners. There is little need to delve intodifficult mathematical relationships, and numericalexamples are presented throughout to guide the reader on applications. Practitionerswill be able to apply the methods learned to the systems in their locations,and the typical professional will want the book on theirbookshelf for reference. Everyone in professional organizations like APICS, DSIand INFORMS; MBA graduates, people in industry, and students in managementscience, business and industrial engineering will find this book valuable.
List of contents
Forecasting.- Forecast Error.- Order Quantity.- Safety Stock.- Replenishments.- Distribution Control.- Manufacturing Control.- Just-in-Time.- Assembly.- Statistical Process Control.- Distribution Network.- Supply Chain Management.- Transportation.- Reverse Logistics.
About the author
Nick T. Thomopoulos is professor emeritus at Illinois Institute of Technology (also known as Illinois Tech). Nick has degrees in Business (BS), and Mathematics (MA) from the University of Illinois, and in Industrial Engineering (PhD) from Illinois Tech. He served two years in the U.S. Army, worked eight years for International Harvester in Operations Research at the corporate headquarters, two years for IIT Research Institute as Senior Scientist, and then forty years as a Professor in the Industrial Engineering Department and in the Stuart School of Business at Illinois Tech. He is the author of ten books, including:
Applied Forecasting Methods, Prentice Hall,
Strategic Inventory Management and Planning, Hitchcock,
Essentials of Monte Carlo Simulation,Springer, and
Production, Inventory and the Supply Chain, Atlantic Publishers. He has over 100 publications and presentations to his credit, and for many years he has consulted in a wide varietyof industries in the United States, Europe and Asia. Nick received honors over the years, such as the
Rist Prize from the Military Operations Research Society, the
Distinguished ProfessorAward in Bangkok, Thailand from the Illinois Tech Asian Alumni Association, and the
Professional Achievement Award from the Illinois Tech Alumni Association.
Summary
This book describes a variety of quantitative methods that are vital to planning and control in the operations of the industrial world, from suppliers to manufacturing plants to distribution centers and to the dealers and stores. The topics include: forecasting, measuring forecast error, determining the order quantity, safety stock, when and how much inventory to replenish, all this for individual items and for a distribution network where the items are housed in multiple locations. Further quantitative methods are: manufacturing control, just-in-time, assembly, statistical process control, distribution network, supply chain management, transportation and reverse logistics. The methods are proven, practical and doable for most
applications.
The material in
Elements of Manufacturing, Distribution
and Logistics presents topics that people want
and should know in the work place. The
presentation is easy
to read for students and practitioners. There is little need to delve into
difficult mathematical relationships, and numerical
examples are presented throughout to guide the reader on applications. Practitioners
will be able to apply the methods learned to the systems in their locations,
and the typical professional will want the book on their
bookshelf for reference. Everyone in professional organizations like APICS, DSI
and INFORMS; MBA graduates, people in industry, and students in management
science, business and industrial engineering will find this book valuable.
