Customer-centric economic policies of closed-loop dual-channel supply chain with product-quality practices and versatile refunds in online channel
Year: 2025
Type: article
Abstract: The present study aims to excavate some sustainable policies for a closed-loop dual-channel supply chain with single manufacturer and single retailer, all while placing a strong emphasis on enhancing customer satisfaction through the product-quality and versatile refund for unsatisfactory products in the online channel. In contrast to the majority of existing literature, this study explores the potential benefits of implementing a return policy and increasing recycling-related investments, thereby ensuring managers’ environmental goals to align with organizations’ profitability. After defuzzification of fuzzy parameters by employing fuzzy possibility measures, this study calculates the maximum expected operating profit of the whole supply chain under centralized decision support system, and that of the manufacturer under decentralized decision support system, considering five major decisions, namely the quality level of online products, the return ratio of used products, the manufacturer’s wholesale and online sale prices, and the retailer’s sale price. Current analytical results plead the manufacturer to prioritize providing consistent product-quality in the online channel, regardless of the presence of its return policy. The manufacturer should cautiously increase its recycling-related investments, whereas this study proposes the retailer to mitigate potential increases in sale prices while adhering to environmental goals. In a customer-centric sustainable approach, this study pleads the manufacturer to target self-price sensitive online customers with lower-priced products, while offering discounts to the retail customers. Besides, this study advocates for fostering collaborative relationships between the manufacturer and the retailer.
Source: RAIRO - Operations Research
DOI: 10.1051/ro/2025023
Authors: Siyuan Qiu, Siyu Yang, Manojit Das, Sagnic Naskar, Shariful Alam, Arindam Garai
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4407610441
