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

Authors: Mohammad Saeid Atabaki; Abolfazl Mirzazadeh; Saeed Fazayeli

Addresses: Department of Industrial Engineering, Faculty of Engineering, Kharazmi University, 15719-14911 Tehran, Iran ' Department of Industrial Engineering, Faculty of Engineering, Kharazmi University, 15719-14911 Tehran, Iran ' Department of Industrial Engineering, Faculty of Engineering, Kurdistan University, Sanandaj, Iran

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.

DOI: 10.1504/IJISE.2018.093049

International Journal of Industrial and Systems Engineering, 2018 Vol.29 No.3, pp.303 - 337

Received: 21 Oct 2015
Accepted: 02 Jul 2016
Published online: 05 Jul 2018 *

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