Closed loop supply chain network design under uncertain price-sensitive demand and return. Issue 4 (12th October 2020)

• Record Type: Journal Article
• Authors: Farshbaf-Geranmayeh, Amir; Taheri-Moghadam, Alireza; Torabi, S. Ali
• Is Part Of: Infor. Volume 58:Issue 4(2020)
• Page Start: 606
• Page End: 634
• Publication Date: 2020-10-12
• Subjects: Closed-loop supply chain -- Supply chain design -- Returnable transport item -- Stochastic programming -- Demand uncertainty -- Genetic algorithms; Operations research -- Periodicals; Electronic data processing -- Periodicals; Systems engineering -- Periodicals; Systems engineering; Electronic data processing; Periodicals; 003.05
• DOI: 10.1080/03155986.2020.1738154
• Languages: English
• ISSNs: 0315-5986

Abstract

Abstract: In this paper, a closed-loop supply chain network design problem is developed. In the proposed model, expected returned products is estimated as a function of return price and if the amount of returned products is less than the expected amount, decision makers have some choices such as more advertising, incentives (extra cost) for returning more products. Different quality levels are considered for returned products which impacts on the recyclable and remanufacturable fractions of returned products as well as recovery lead time and cost. The model aims to maximize the total profit while making several decisions regarding pricing, the network design, material flow, quantity of manufacturing/remanufacturing, recycling, and inventory in an integrated manner to avoid any sub-optimality. A hybrid genetic algorithm and simulated annealing is proposed to solve the model. Numerical examples and sensitivity analysis are conducted to evaluate the applicability of the proposed model and lead to appropriate managerial decision about profitability of spending extra cost for returning more used products from customers.