Technology license sharing strategy for remanufacturing industries under a closed-loop supply chain management bonding

¹ Department of Mathematics & Statistics, Banasthali Vidyapith, Banasthali 304022, Rajasthan, India
² Department of Mathematics, Jadavpur University, Kolkata 700032, India
³ Kushmarh Tentulia High School (H.S.) Jahanpur, Jhargram 721517, West Bengal, India
⁴ Department of Mathematics, Kazi Nazrul University, Asansol 713340, India
⁵ Department of Industrial Engineering, Yonsei University, 50 Yonsei-ro, Sinchon-dong, Seodaemun-gu, Seoul 03722, South Korea
⁶ Center for Transdisciplinary Research (CFTR), Saveetha Dental College, Saveetha Institute of Medical and Technical Sciences, Saveetha University, 162, Poonamallee High Road, Velappanchavadi, Chennai 600077, Tamil Nadu, India

^* Corresponding author: bsbiswajitsarkar@gmail.com

Received: 6 September 2021
Accepted: 20 April 2022

Abstract

Remanufacturing is getting attention nowadays due to increasing waste and corresponding emissions. One of the important factors of remanufacturing is the quality of the remanufactured products. The collection and distribution of used products require proper management. Based on this situation, this study discusses a hybrid closed-loop supply chain management in cooperation with a hybrid production system. The vendor comes up with the policy of sharing remanufacturing responsibility by sharing the technology license with other supply chain players. The carbon cap restricts emissions from the entire hybrid production system of the vendor. Other factors of this proposed study are service by the retailer and quality, gift policy, and customer awareness by the vendor. This study examines the scenario under random market demand. Classical optimization provides the solution under the Stackelberg game policy where the vendor acts as leader and the retailer & third party act as followers. This paper considers two scenarios: Scenario A for a continuous distribution and Scenario B for no specific distribution. A comparison is drawn between various motivating factors-based policies to control supply chain management.