Optimization of Integrated Supply Chain Planning under Multiple Uncertainty

Authors: Shao, Juping, Sun, Yanan, Noche, Bernd

  • Puts forward a dynamic equation model of customer demand and testifies the correctness and reliability of the model with numerical examples
  • Builds three kinds of integrated novel supply chain logistics planning models on different control types
  • Designs three kinds of novel hybrid intelligence algorithms Verifies the effectiveness of the models and algorithms with numerical experiments
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eBook $74.99
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  • ISBN 978-3-662-47250-7
  • Digitally watermarked, DRM-free
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  • Immediate eBook download after purchase
Hardcover $99.99
price for USA in USD
  • ISBN 978-3-662-47249-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $99.00
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: November 4, 2016
  • ISBN 978-3-662-51617-1
  • Free shipping for individuals worldwide
About this book

​The subject of this book is supply chain logistics planning optimization under multiple uncertainties, the key issue in supply chain management.  Focusing on the strategic-alliance three-level supply chain, the model of supply chain logistics planning was established in terms of the market prices and the market requirements as random variables of manufactured goods with random expected value programming theory, and the hybrid intelligence algorithm solution model was designed. Aiming at the decentralized control supply chain, in which the nodes were unlimited expansion, the chance-constrained stochastic programming model was created in order to obtain optimal decision-making at a certain confidence level. In addition, the hybrid intelligence algorithm model was designed to solve the problem of supply chain logistics planning with the prices of the raw-materials supply market of the upstream enterprises and the prices of market demand for products of the downstream enterprises as random variables in the supply chain unit. Aimed at the three-stage mixed control supply chain, a logistics planning model was designed using fuzzy random programming theory with customer demand as fuzzy random variables and a hybrid intelligence algorithm solution was created. The research has significance both in theory and practice. Its theoretical significance is that the research can complement and perfect existing supply chain planning in terms of quantification. Its practical significance is that the results will guide companies in supply chain logistics planning in the uncertain environment.

Table of contents (7 chapters)

  • Introduction

    Shao, Juping (et al.)

    Pages 1-7

  • Literature Review

    Shao, Juping (et al.)

    Pages 9-35

  • Demand Forecasting Dynamic Equation Model

    Shao, Juping (et al.)

    Pages 37-55

  • Optimization of Strategic Alliance Supply Chain Logistics Planning Under Uncertain Environment

    Shao, Juping (et al.)

    Pages 57-99

  • Optimization of Decentralized Control Supply Chain Logistics Planning Under Uncertain Environment

    Shao, Juping (et al.)

    Pages 101-147

Buy this book

eBook $74.99
price for USA in USD (gross)
  • ISBN 978-3-662-47250-7
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $99.99
price for USA in USD
  • ISBN 978-3-662-47249-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $99.00
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: November 4, 2016
  • ISBN 978-3-662-51617-1
  • Free shipping for individuals worldwide
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Bibliographic Information

Bibliographic Information
Book Title
Optimization of Integrated Supply Chain Planning under Multiple Uncertainty
Authors
Copyright
2015
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-662-47250-7
DOI
10.1007/978-3-662-47250-7
Hardcover ISBN
978-3-662-47249-1
Softcover ISBN
978-3-662-51617-1
Edition Number
1
Number of Pages
XVII, 188
Number of Illustrations and Tables
47 b/w illustrations
Topics