Title: Inventory model optimisation for a closed-loop retailer-manufacturer-supplier system with imperfect production, reworks and quality dependent return rate
Authors: Anindya Rachma Dwicahyani; Eva Kholisoh; Cucuk Nur Rosyidi; Pringgo Widyo Laksono; Wakhid Ahmad Jauhari
Addresses: Graduate Program of Industrial Engineering, Sebelas Maret University, Jl. Ir. Sutami 36 A, Surakarta 57126, Indonesia ' Undergraduate Program of Industrial Engineering, Sebelas Maret University, Jl. Ir. Sutami 36 A, Surakarta 57126, Indonesia ' Department of Industrial Engineering, Sebelas Maret University, Jl. Ir. Sutami 36 A, Surakarta 57126, Indonesia ' Department of Industrial Engineering, Sebelas Maret University, Jl. Ir. Sutami 36 A, Surakarta 57126, Indonesia ' Department of Industrial Engineering, Sebelas Maret University, Jl. Ir. Sutami 36 A, Surakarta 57126, Indonesia
Abstract: This study investigates a closed-loop supply chain (CLSC) inventory model consisting of a retailer, a manufacturer and a supplier. Here, the return rate is considered to be varied which depends upon the quality level of returned items. The manufacturer performs manufacturing and remanufacturing processes to satisfy the retailer's demand. The manufacturing process is assumed to be imperfect and produces some defective items. All defective items are then reworked. Two recovery processes are considered in the model, which are remanufacturing and refurbishing. The recoverable items which cannot be perfectly recovered will be categorised as refurbishable items and then sold to the secondary market at a reduced price. A solution methodology is provided to find the optimal solutions of the model. A numerical example and sensitivity analysis are performed to show the application of the model and to understand the effects of the changes in key parameters on the model's behaviour, respectively.
Keywords: remanufacturing; closed-loop supply chain; CLCS; recovery; inventory; inventory model; refurbishing; imperfect production.
DOI: 10.1504/IJSOM.2020.105913
International Journal of Services and Operations Management, 2020 Vol.35 No.4, pp.528 - 556
Received: 10 Jun 2017
Accepted: 08 Feb 2018
Published online: 17 Mar 2020 *