Price, production and order decisions in a one-manufacturer multi-retailer supply chain with fuzzy costs: two parameter tuned meta-heuristics

Mohammad Saeid Atabaki, Abolfazl Mirzazadeh and Saeed Fazayeli

International Journal of Industrial and Systems Engineering, 2018, vol. 29, issue 3, 303-337

Abstract: This paper develops a mixed integer nonlinear programming model of a one-manufacturer, multi-retailer, multi-period supply chain, where demands of retailers are affected by selling prices and learning curve is considered in production costs. Also, fuzzy concept is applied to cope with uncertainty of cost's parameters. Two meta-heuristic algorithms, namely genetic algorithm (GA) and invasive weed optimisation (IWO) are proposed to solve the model. With optimising parameters of the two meta-heuristics using Taguchi design of experiments, numerical examples showed that the proposed IWO has better performance in comparison with the GA. The IWO, then, is applied to solve the fuzzy model.

Keywords: supply chain; nonlinear; fuzzy; genetic algorithm; invasive weed optimisation; IWO; Taguchi. (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:ids:ijisen:v:29:y:2018:i:3:p:303-337

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