Title: Circular supply chain management using heuristic optimisation and sliding mode control

Authors: Ho Van Roi; Sam-Sang You; Duy Anh Nguyen; Hwan-Seong Kim

Addresses: Department of Logistics, Korea Maritime and Ocean University, Busan, Republic of Korea ' Northeast-Asia Shipping and Port Logistics Research Center, Korea Maritime and Ocean University, Busan, Republic of Korea ' Department of Mechatronics Engineering, Ho Chi Minh City University of Technology (HCMUT), Vietnam National University Ho Chi Minh City, Ho Chi Minh City, Vietnam ' Department of Logistics, Korea Maritime and Ocean University, Busan, Republic of Korea

Abstract: This paper proposes an active decision-making strategy in circular supply chain management. A four-echelon supply chain model, including the manufacturer, distributor, retailer, and customer, is considered with the addition of a recycling channel for sustainable circular economy sustainability. A decision-making strategy is implemented for managing a multi-echelon supply chain network under stochastic demand, primarily employing a super-twisting sliding mode controller (STSMC) and metaheuristic optimisation algorithm. The adaptive particle swarm optimisation (APSO) algorithm updates the control parameters. Performance criteria have been exploited to validate the control methodology. The hybrid control scheme is the most effective scheme evaluated by performance indicators, improving business performance and efficiency under stochastic events. Finally, the novel decision-making strategy can offer new insights into effectively managing digital supply chain networks against market volatility.

Keywords: supply chain management; circular economy; decision-making strategy; heuristic optimisation; sliding mode control; super-twisting sliding mode controller; STSMC; adaptive particle swarm optimisation; APSO.

DOI: 10.1504/IJLSM.2026.152871

International Journal of Logistics Systems and Management, 2026 Vol.53 No.4, pp.484 - 501

Received: 15 Jun 2023
Accepted: 19 Jun 2023
Published online: 14 Apr 2026 *

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