TY - BOOK ID - 14233054 TI - Elements of Manufacturing, Distribution and Logistics : Quantitative Methods for Planning and Control PY - 2016 SN - 3319268619 3319268627 PB - Cham : Springer International Publishing : Imprint: Springer, DB - UniCat KW - Industrial & Management Engineering KW - Mechanical Engineering KW - Engineering & Applied Sciences KW - Manufacturing processes KW - Business logistics. KW - Automation. KW - Supply chain management KW - Industrial management KW - Logistics KW - Operations research. KW - Production management. KW - Operations Research/Decision Theory. KW - Operations Management. KW - Manufacturing management KW - Operational analysis KW - Operational research KW - Industrial engineering KW - Management science KW - Research KW - System theory KW - Decision making. KW - Deciding KW - Decision (Psychology) KW - Decision analysis KW - Decision processes KW - Making decisions KW - Management KW - Management decisions KW - Choice (Psychology) KW - Problem solving KW - Decision making UR - https://www.unicat.be/uniCat?func=search&query=sysid:14233054 AB - 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. ER -