A variable neighborhood search heuristic for supply chain coordination using dynamic price discounts
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AbstractThis research studies the problem of supply chain coordination using temporary price discounts. The supplier decides how much discount should be introduced in each period to each of the customers, aiming to maximize its profit, while giving the customers the incentive to order in the desired periods. To solve this problem, a variable neighborhood search is introduced. The results of computational experiments indicate that the variable neighborhood search outperforms the mixed integer-based heuristic introduced earlier in the literature for this problem. Our metaheuristic procedure found the optimal solution for small instances in more than 80% of the cases. Moreover, an advantage of this metaheuristic is the significantly shorter computing time that allows applying it to larger instances.
All Author(s) ListBuhayenko V., Ho S. C., Thorstenson A.
Journal nameEuro Journal of Transportation and Logistics
Year2018
Month12
Volume Number7
Issue Number4
PublisherSpringer
Pages363 - 385
ISSN2192-4376
eISSN2192-4384
LanguagesEnglish-United States

Last updated on 2020-12-07 at 04:56