Multi-Loss WCVaR Risk Decision Optimization Based On Weight for Centralized Supply Problem of Direct Chain Enterprises

Xu Leiyan and Zhiqing Meng
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Xu Leiyan: School of Management, Zhejiang University of Technology, Hangzhou 310023, P. R. China2Zhejiang University of Finance and Economics, Hangzhou 310018, P. R. China
Zhiqing Meng: School of Management, Zhejiang University of Technology, Hangzhou 310023, P. R. China

Asia-Pacific Journal of Operational Research (APJOR), 2019, vol. 36, issue 02, 1-16

Abstract: In recent years, the centralized supply strategy has been widely adopted by direct chain enterprises (DCEs) and become an indispensable means of operation. First, a general probability distribution density function cluster is used to describe the uncertainty demand from all retailers of the DCE. Second, a multi-loss WCVaR centralized supply risk decision optimization robust model based on weight is presented for the DCE. We prove that this model is equivalent to an single-objective optimization model. Finally, we set up a single-period multi-loss WCVaR centralized supply risk decision optimization robust model based on weight for production allocation problem for a centralized-supply direct chain food enterprise. The numerical results illustrate that the DCE may obtain the approximately robust total production volume and the robust retail volume allocated to all retailers, which is the minimal total supply loss for the DCE.

Keywords: Direct chain enterprise; centralized supply problem; conditional value at risk; MWCVaR risk decision optimization robust model; probability distribution density function cluster (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1142/S0217595919400074

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