Optimization of Integrated Supply Chain Planning under Multiple Uncertainty

  • Juping Shao
  • Yanan Sun
  • Bernd Noche

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Juping Shao, Yanan Sun, Bernd Noche
    Pages 1-7
  3. Juping Shao, Yanan Sun, Bernd Noche
    Pages 9-35
  4. Juping Shao, Yanan Sun, Bernd Noche
    Pages 37-55
  5. Juping Shao, Yanan Sun, Bernd Noche
    Pages 185-188

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.


Dynamic equation Hybrid intelligent algorithm Modeling and optimizing Supply chain logistics planning Uncertain programming

Authors and affiliations

  • Juping Shao
    • 1
  • Yanan Sun
    • 2
  • Bernd Noche
    • 3
  1. 1.School of BusinessSuzhou Uni. of Science and TechnologySuzhouChina
  2. 2.Suzhou Industrial Park Anwood Logistics System co., Ltd.SuzhouChina
  3. 3.Institute for Transport Systems and LogisticsUniversity Duisburg-EssenDuisburgGermany

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2015
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Business and Economics
  • Print ISBN 978-3-662-47249-1
  • Online ISBN 978-3-662-47250-7
  • Buy this book on publisher's site
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