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\(\delta \)-Shock Supply Chain Reengineering Decision Model Under Weibull Distribution

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Proceedings of the Eighth International Conference on Management Science and Engineering Management

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 280))

Abstract

After depicting the running status of supply chain system with \(\delta \)-shock model under Weibull distribution, this research gives a quantitative decision-making reference of supply chain reengineering. Through the analysis of the examples, it finds that some system parameters, such as aging coefficient, running benefit, maintenance and replacement costs, will affect the long-run average cost per unit time and reengineering policy of supply chain system. Then the authors put forward some policy suggestions for supply chain management.

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Acknowledgments

This work was supported by Key Project of Sichuan Provincial Education Department (13ZA0064).

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Authors and Affiliations

  1. College of Management Science, Chengdu University of Technology, Chengdu , 610059,  People’s Republic of China

    Manyi Tan, Xiaoying Bao, Dan Ding & Feng Lin

Authors
  1. Manyi Tan
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  2. Xiaoying Bao
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  3. Dan Ding
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  4. Feng Lin
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Corresponding author

Correspondence to Manyi Tan .

Editor information

Editors and Affiliations

  1. Business School, Sichuan University, Chengdu, China

    Jiuping Xu

  2. Depart de Enge Mecânica e Industrial, Faculdade de Ciências e Tecnologia - Universidade Nova de Lisboa (FCT/UNL), Caparica, Portugal

    Virgílio António Cruz-Machado

  3. LeBow College of Business Department of Decision Sciences, Drexel University, Philadelphia, Pennsylvania, USA

    Benjamin Lev

  4. Institute of Operations Research, Karlsruhe Institute ofTechnology (KIT), Karlsruhe, Germany

    Stefan Nickel

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© 2014 Springer-Verlag Berlin Heidelberg

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Tan, M., Bao, X., Ding, D., Lin, F. (2014). \(\delta \)-Shock Supply Chain Reengineering Decision Model Under Weibull Distribution. In: Xu, J., Cruz-Machado, V., Lev, B., Nickel, S. (eds) Proceedings of the Eighth International Conference on Management Science and Engineering Management. Advances in Intelligent Systems and Computing, vol 280. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55182-6_65

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  • DOI: https://doi.org/10.1007/978-3-642-55182-6_65

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-55181-9

  • Online ISBN: 978-3-642-55182-6

  • eBook Packages: EngineeringEngineering (R0)

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