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A Multi-Objective Optimization Model for the Purchasing and Inventory in a Three-Echelon Construction Supply Chain

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

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 362))

Abstract

Material purchasing and supply is a great insurance to the continuity of the construction process. In this paper, a multi-objective purchasing model is presented for the purchasing and inventory in the perspective of each construction partner in a construction supply chain. The model aims to reduce the purchasing and supply cost as well as the lead time in a construction supply chain. Purchasing quantity and lead time are both considered as controllable decision variables in this model.

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Acknowledgments

The authors would like to thank Prof. Shanling Li and Assistant Prof. Derek Wang of Mcgill University for their useful comments. This research was supported by the China Scholarship Council (Grant No. 201406240017).

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Authors and Affiliations

  1. Business School, Sichuan University, Chengdu, 610064, People’s Republic of China

    Qiurui Liu

  2. Faculty of Management, Mcgill University, Montreal, H3A 1G5, Canada

    Qiurui Liu & Zhexiong Tao

Authors
  1. Qiurui Liu
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  2. Zhexiong Tao
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Corresponding author

Correspondence to Qiurui Liu .

Editor information

Editors and Affiliations

  1. Sichuan University Room 611, Business School, Chengdu, Sichuan, China

    Jiuping Xu

  2. Karlsruhe Institute of Technology, Karlsruhe, Germany

    Stefan Nickel

  3. Industrial Engineering, Universidade Nova de Lisboa, Lisbon, Portugal

    Virgilio Cruz Machado

  4. Azerbaijan National Academy of Sciences, Baku, Azerbaijan

    Asaf Hajiyev

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Liu, Q., Tao, Z. (2015). A Multi-Objective Optimization Model for the Purchasing and Inventory in a Three-Echelon Construction Supply Chain. In: Xu, J., Nickel, S., Machado, V., Hajiyev, A. (eds) Proceedings of the Ninth International Conference on Management Science and Engineering Management. Advances in Intelligent Systems and Computing, vol 362. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47241-5_20

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  • DOI: https://doi.org/10.1007/978-3-662-47241-5_20

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-47240-8

  • Online ISBN: 978-3-662-47241-5

  • eBook Packages: EngineeringEngineering (R0)

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