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Engineering Production Control Strategies

A Guide to Tailor Strategies that Unite the Merits of Push and Pull

  • Book
  • © 2012

Overview

  • Combines Lean manufacturing and algorithmic detailed planning and scheduling
  • With a real-life case study
  • A look behind the scenes and into the physics of production control
  • Includes supplementary material: sn.pub/extras

Part of the book series: Management for Professionals (MANAGPROF)

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Table of contents (8 chapters)

Keywords

About this book

Identifying and customizing suitable control strategies is a challenging task, especially when production systems have to cope with variable demands, forecast error, and unstable processes. The focus of this book lies on helping companies with complex and discrete production systems to tailor a production control strategy to their needs. Thereby, the mutual merits of “push” and “pull” systems are taken into account, leading to hybrid strategies. Consequently, the book addresses practitioners who are interested in looking behind the scenes and into the physics of production control. A real-life case study demonstrates the practical applicability of the presented framework.

Authors and Affiliations

  • McKinsey & Company Inc., München, Germany

    Christoph Karrer

Bibliographic Information

  • Book Title: Engineering Production Control Strategies

  • Book Subtitle: A Guide to Tailor Strategies that Unite the Merits of Push and Pull

  • Authors: Christoph Karrer

  • Series Title: Management for Professionals

  • DOI: https://doi.org/10.1007/978-3-642-24142-0

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Business and Economics, Business and Management (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2012

  • Hardcover ISBN: 978-3-642-24141-3Published: 25 February 2012

  • Softcover ISBN: 978-3-642-44555-2Published: 13 April 2014

  • eBook ISBN: 978-3-642-24142-0Published: 23 February 2012

  • Series ISSN: 2192-8096

  • Series E-ISSN: 2192-810X

  • Edition Number: 1

  • Number of Pages: X, 178

  • Topics: Production, Operations Management, Operations Research/Decision Theory

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