Optimal pricing strategies for heterogeneous customers in dual-channel closed-loop supply chains: A modeling approach

Dual-channel closed-loop supply chains (DCCLSCs) play a vital role in attaining both sustainability and profitability. This paper introduces a game-theoretic model to analyze optimal pricing strategies for primary and replacement customers within three distinct recycling frameworks: manufacturer-led, retailer-led, and collaborative recycling. The model identifies equilibrium pricing and subsidy decisions for each scenario, considering the primary customer's preference for the direct channel and the specific roles in recycling. The findings indicate that manufacturers tend to set lower prices in direct channels compared to retailers, aiming to stimulate demand and promote trade-ins. Manufacturer-led recycling initiatives result in stable pricing, whereas retailer-led recycling necessitates higher subsidies. Collaborative recycling strategies yield lower prices and an increase in trade-ins. Primary customers' preference for the direct channel significantly impacts pricing strategies, with a stronger preference leading to lower direct-channel prices and higher manufacturer subsidies. This paper contributes to the field by incorporating primary customer channel preferences and diverse recycling frameworks into DCCLSC pricing models. These insights assist manufacturers and retailers in adjusting pricing strategies and trade-in incentives according to primary customer preferences and associated costs, thereby enhancing profitability and recycling efficiency within DCCLSCs.

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Publication Details

Journal
Journal of Industrial and Management Optimization
Published
2025-01-01
DOI
https://doi.org/10.3934/jimo.2025106
Primary Topic
Supply Chain and Inventory Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Optimal pricing strategies for heterogeneous customers in dual-channel closed-loop supply chains: A modeling approach

Hisashi Kurata, Ting Wang, Yang Xiao
Journal of Industrial and Management Optimization
Supply Chain and Inventory Management
article

Optimal pricing strategies for heterogeneous customers in dual-channel closed-loop supply chains: A modeling approach

Hisashi Kurata, Ting Wang, Yang Xiao
article en

Abstract

Dual-channel closed-loop supply chains (DCCLSCs) play a vital role in attaining both sustainability and profitability. This paper introduces a game-theoretic model to analyze optimal pricing strategies for primary and replacement customers within three distinct recycling frameworks: manufacturer-led, retailer-led, and collaborative recycling. The model identifies equilibrium pricing and subsidy decisions for each scenario, considering the primary customer's preference for the direct channel and the specific roles in recycling. The findings indicate that manufacturers tend to set lower prices in direct channels compared to retailers, aiming to stimulate demand and promote trade-ins. Manufacturer-led recycling initiatives result in stable pricing, whereas retailer-led recycling necessitates higher subsidies. Collaborative recycling strategies yield lower prices and an increase in trade-ins. Primary customers' preference for the direct channel significantly impacts pricing strategies, with a stronger preference leading to lower direct-channel prices and higher manufacturer subsidies. This paper contributes to the field by incorporating primary customer channel preferences and diverse recycling frameworks into DCCLSC pricing models. These insights assist manufacturers and retailers in adjusting pricing strategies and trade-in incentives according to primary customer preferences and associated costs, thereby enhancing profitability and recycling efficiency within DCCLSCs.

Journal of Industrial and Management OptimizationVol. 21(9)
Yokohama National University (JP)
Japan Society for the Promotion of Science
Openalex Percentile: Top 75%
Supply Chain and Inventory Management
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Optimal pricing strategies for heterogeneous customers in dual-channel closed-loop supply chains: A modeling approach — Hisashi Kurata, Ting Wang, et al. · Journal of Industrial and Management Optimization (2025) | TGRS Research Map | TGRS