Industrial Management- Control and Profit A Technical Approach /

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...

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Bibliographic Details
Published in:Springer eBooks
Main Author: Halevi, Gideon (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2014.
Series:Lecture Notes in Management and Industrial Engineering,
Subjects:
Online Access:http://dx.doi.org/10.1007/978-3-319-03470-6
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505 0 |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. 
520 |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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