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140602 ||| eng |
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|a 9783319034706
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|a Halevi, Gideon
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|a Industrial Management- Control and Profit
|h Elektronische Ressource
|b A Technical Approach
|c by Gideon Halevi
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|a 1st ed. 2014
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|a Cham
|b Springer International Publishing
|c 2014, 2014
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300 |
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|a X, 273 p. 107 illus
|b online resource
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|a 1 Introduction -- Part one: Management control engineering -- 2 Product design -- 3 Process planning -- 4 Lot size & Profit -- 5 Traditional production planning -- 6 Flexible production planning -- 7 Quality control SQC & SPC -- Part two: Engineering support management -- 8 Inventory and management control -- 9 Resource planning -- 10 Master production planning -- 11 Determine delivery date and cost -- 12 company level of performance -- Index
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653 |
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|a Operations Management
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653 |
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|a Production management
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653 |
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|a Industrial engineering
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653 |
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|a Engineering design
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653 |
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|a Industrial and Production Engineering
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653 |
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|a Production engineering
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653 |
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|a Engineering Design
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|a eng
|2 ISO 639-2
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|b Springer
|a Springer eBooks 2005-
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|a Lecture Notes in Management and Industrial Engineering
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|u https://doi.org/10.1007/978-3-319-03470-6?nosfx=y
|x Verlag
|3 Volltext
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|a 658.5
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|a This volume presents controlling tools for management in order to be in a position to communicate with control engineers concerning technological decisions. The main objective of manufacturing management is to make profit. However, in traditional manufacturing systems none of the separate stages in the process support this objective. Management is not expert in any of these stages, and therefore is dependent on specific experts at each stage and must follow their decisions. Each stage has its own first priority which is not profit and cost. This means that management does not have real control over these functional stages, nor over the process as a whole. This book presents controlling tools for management in order to allow them to communicate better with the experts of the particular manufacturing stages to reach better results and higher profits. It is shown that most enterprises can improve their efficiency rate by between 25 and 60% by using the tools developed here
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