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Multiobjective optimization for a multienterprise supply chain network
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AI
DOI：10.1021/ie0206148.png)
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Abstract
En 中文
The problem of a fair profit distribution for a multienterprise supply chain network is investigated in this paper. To implement this concept, we construct a multiproduct, multistage, and multiperiod production and distribution planning model to achieve multiple objectives such as maximizing the profit of each participant enterprise, the customer service level, and the safe inventory level and ensuring a fair profit distribution. A two-phase fuzzy decision-making method is proposed to attain a compromise solution among all participant companies of the supply chain. One numerical example is supplied, demonstrating that the proposed two-phase decision-making method can provide an improved compensatory solution for multiobjective optimization problems in a multienterprise supply chain network.
Keywords:
DEMAND UNCERTAINTY
PROCESS INDUSTRIES
FRAMEWORK
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3.9
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4.0W
Citations:
9.6W
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