Elements of manufacturing, distribut...
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  • Elements of manufacturing, distribution and logistics[electronic resource] :quantitative methods for planning and control /
  • レコード種別: 言語・文字資料 (印刷物) : 単行資料
    [NT 15000414] null: 670
    タイトル / 著者: Elements of manufacturing, distribution and logistics : quantitative methods for planning and control // by Nick T. Thomopoulos.
    著者: Thomopoulos, Nick T.
    出版された: Cham : : Springer International Publishing :, 2016.
    記述: xxvii, 285 p. : : ill., digital ;; 24 cm.
    含まれています: Springer eBooks
    主題: Manufacturing processes - Automation.
    主題: Business logistics.
    主題: Business and Management.
    主題: Operation Research/Decision Theory.
    主題: Operations Management.
    国際標準図書番号 (ISBN) : 9783319268620
    国際標準図書番号 (ISBN) : 9783319268613
    [NT 15000228] null: 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.
    [NT 15000229] null: 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.
    電子資源: http://dx.doi.org/10.1007/978-3-319-26862-0
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http://dx.doi.org/10.1007/978-3-319-26862-0
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