Title: A sustainable reverse supply chain network design considering inventory-location-routing problem and cross-docking scheduling under uncertainty

Authors: Zahra Ebrahim Qazvini; Mohammad Reza Maleki

Addresses: Department of Industrial Engineering, University of Eyvanekey, Semnan, Iran ' Industrial Engineering Group, Golpayegan College of Engineering, Isfahan University of Technology, Golpayegan 87717-67498, Iran

Abstract: Designing an integrated supply chain network (SCN) by considering economic, social, and environmental aspects will increase its sustainability. This paper proposes a bi-objective mixed-integer linear programming model to design a sustainable closed-loop SCN considering location-inventory-routing problem, cross-docking scheduling, vehicles failure, inflation, routes reliability, impact of load on fuel consumption, discount on purchases from suppliers, supplier selection, and order allocation under uncertainty. The proposed bi-objective model minimises the total costs and maximises the created jobs, simultaneously. A scenario-based approach is used to cope with demand uncertainty while a fuzzy multi-objective solution approach is employed to convert the bi-objective model into a single-objective one. Finally, the performance of the proposed bi-objective mathematical model is evaluated using data from a wire and cable industry in Iran.

Keywords: location-inventory-routing problem; closed-loop supply chain; CLSC; cross-docking scheduling; uncertainty.

DOI: 10.1504/IJKEDM.2022.126071

International Journal of Knowledge Engineering and Data Mining, 2022 Vol.7 No.3/4, pp.163 - 189

Received: 25 Aug 2021
Accepted: 16 Oct 2021

Published online: 10 Oct 2022 *

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