Title |
Link between sustainable circular supply chain and Internet of Things technology in electric vehicle battery manufacturing industry: A business strategy optimization for pickup and delivery |
ID_Doc |
27249 |
Authors |
Sorooshian, S; Khiavi, SF; Karimi, F; Mina, H |
Title |
Link between sustainable circular supply chain and Internet of Things technology in electric vehicle battery manufacturing industry: A business strategy optimization for pickup and delivery |
Year |
2024 |
Published |
|
DOI |
10.1002/bse.3905 |
Abstract |
Modern industries use advanced technological solutions to efficiently manage waste and increase the sustainability of supply chain (SC) networks. Technologies in SC networks can achieve this by establishing a link between circular economy principles and Industry 4.0. Therefore, in this study, for the first time, a novel bi-objective mixed-integer linear programming model is developed to design a sustainable SC network by considering circular economy practices, the Internet of Things (IoT) technology, and the location-routing problem with a simultaneous pickup-and-delivery (P&D) strategy in the electric vehicle (EV) battery industry. The proposed model locates distribution and recycling centers and considers the routing problem with the P&D strategy between the distribution centers and service providers. By applying the augmented epsilon-constraint method, a balance is established between minimizing total costs and carbon emissions, and a set of Pareto-optimal solutions is provided. It should be noted that the P&D strategy reduces the total costs and carbon emissions, and the IoT technology provides conditions for designing a secure and traceable network. The performance of the proposed model is evaluated using data from an EV battery module manufacturing company in the Far East. A sensitivity analysis of the parameters related to operational costs, carbon emissions, and demand demonstrated the accuracy of the performance of the proposed model. |
Author Keywords |
circular economy; Industry 4.0; Internet of Things (IoT); optimization; simultaneous pickup and delivery; sustainable supply chain |
Index Keywords |
Index Keywords |
Document Type |
Other |
Open Access |
Open Access |
Source |
Social Science Citation Index (SSCI) |
EID |
WOS:001290578200001 |
WoS Category |
Business; Environmental Studies; Management |
Research Area |
Business & Economics; Environmental Sciences & Ecology |
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