Multi-objective bi-level supply chain network order allocation problem under fuzziness

Srikant Gupta (), Irfan Ali () and Aquil Ahmed ()
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Srikant Gupta: Aligarh Muslim University
Irfan Ali: Aligarh Muslim University
Aquil Ahmed: Aligarh Muslim University

OPSEARCH, 2018, vol. 55, issue 3, No 8, 748 pages

Abstract: Abstract In this paper we addressed supply chain network (SCN) as bi-level programming problem in which the primary objective is to determine optimal order allocation of products where the customer’s demands and supply for the products are fuzzy. In the proposed SCN model, we suppose that the first level (leader) and second level (follower) operate two separate groups of SCN. The leader, who moves first, determines quantities shipped to retailers, and then, the follower decides his quantities rationally. The leader’s objective is to minimize the total transportation costs, and similarly, the follower’s objective is to minimize the total delivery time of the SCN and at the same time balancing the optimal order allocation from each source, plant, retailer and warehouse respectively. The fuzzy goal programming approach has been used to achieve the highest degree of the membership goals by minimizing the deviational variables so that most satisfactory or the preferred solution for both the levels to be obtained. A numerical example is given to demonstrate the proposed methodology.

Keywords: Supply chain network; Multi-objective optimization; Bi-level programming problem; Trapezoidal fuzzy number; $$\alpha$$ α -cut approach; Fuzzy goal programming (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s12597-018-0340-2

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