TY - JOUR
T1 - A closed-loop supply chain model with rework, waste disposal, and carbon emissions
AU - Jauhari, Wakhid Ahmad
AU - Adam, Niimas Ayu Frensilia Putri
AU - Rosyidi, Cucuk Nur
AU - Pujawan, I. Nyoman
AU - Shah, Nita H.
N1 - Publisher Copyright:
© 2020 The Author(s)
PY - 2020
Y1 - 2020
N2 - This paper develops a closed-loop supply chain model consisting of a single manufacturer, single retailer, and single collector under various coordination scenarios. New products produced from the manufacturing and remanufacturing processes will be sold to the market at the same price. Used products collected by the collector are sorted so that products categorized as recoverable will be sold to the manufacturer. There are two recovery processes considered in this paper, namely remanufacturing and refurbishing. Used products below the minimum acceptable quality level of the manufacturer will be categorized as waste and will be disposed of. We assume that the manufacturing process is imperfect as it produces reworkable defective products. A carbon cap-and-trade policy and investment in green technologies are applied in order to restrict the carbon emissions generated by the production stage of the system. The demand at the market place depends on the green technology level, the quality of the product, and the selling price. The proposed model is constructed under five different scenarios – centralized, decentralized, and three Stackelberg games led, respectively, by the manufacturer, retailer, and collector. A numerical example is provided to illustrate and compare the proposed model under each scenario and investigate the sensitivity of some of the model parameters on the optimal solutions. The results show that the centralized scenario performs better in maximizing the total profit compared to the decentralized one. However, the retailer-led Stackelberg model tends to give more equitable profit to all players when the selling price is set at the lower level as this will attract more demand.
AB - This paper develops a closed-loop supply chain model consisting of a single manufacturer, single retailer, and single collector under various coordination scenarios. New products produced from the manufacturing and remanufacturing processes will be sold to the market at the same price. Used products collected by the collector are sorted so that products categorized as recoverable will be sold to the manufacturer. There are two recovery processes considered in this paper, namely remanufacturing and refurbishing. Used products below the minimum acceptable quality level of the manufacturer will be categorized as waste and will be disposed of. We assume that the manufacturing process is imperfect as it produces reworkable defective products. A carbon cap-and-trade policy and investment in green technologies are applied in order to restrict the carbon emissions generated by the production stage of the system. The demand at the market place depends on the green technology level, the quality of the product, and the selling price. The proposed model is constructed under five different scenarios – centralized, decentralized, and three Stackelberg games led, respectively, by the manufacturer, retailer, and collector. A numerical example is provided to illustrate and compare the proposed model under each scenario and investigate the sensitivity of some of the model parameters on the optimal solutions. The results show that the centralized scenario performs better in maximizing the total profit compared to the decentralized one. However, the retailer-led Stackelberg model tends to give more equitable profit to all players when the selling price is set at the lower level as this will attract more demand.
KW - Carbon emission
KW - Closed-loop
KW - Green technology
KW - Remanufacturing
KW - Stackelberg game
UR - http://www.scopus.com/inward/record.url?scp=85087354513&partnerID=8YFLogxK
U2 - 10.1016/j.orp.2020.100155
DO - 10.1016/j.orp.2020.100155
M3 - Article
AN - SCOPUS:85087354513
SN - 2214-7160
VL - 7
JO - Operations Research Perspectives
JF - Operations Research Perspectives
M1 - 100155
ER -