关键词：
E -commerce platforms;Supply chains;Green capability;Information asymmetry;Signaling;Green certification
摘要：
With the rise of environmentally conscious consumers in the digital age, e-commerce platforms have a significant potential to promote green products through marketing. However, these platforms may face information asymmetry regarding the green production and operational capabilities of their manufacturing suppliers, which could hinder optimal marketing efforts. This study explores how manufacturers with high green capabilities can signal their private information to platforms to receive more green marketing support. We first analyze the traditional signaling mechanism using wholesale prices and then examine how the addition of green certification can facilitate the signaling process. We derive the supply chain equilibria under both signaling mechanisms. Our results show that a single wholesale price signal can substantially distort the manufacturer's wholesale price upward, leading to a significant deviation of the retail platform's pricing and marketing decisions from the optimal levels in a symmetric information scenario. However, adding green certification signals can mitigate this undesirable distortion and reduce the efficiency lost due to information asymmetry. Both signaling mechanisms can exacerbate the double marginalization effect, which can be mitigated to a smaller extent by adding green certification in the signaling contract. Our study highlights the signaling role of green certification in the supply chain and sheds light on the practical value of adopting green certifications.
摘要：
This paper focuses on optimizing the long- and short-term planning of the perishable product supply chain network (PPSCN). It addresses the integration of strategic location, tactical inventory, and operational routing decisions. Additionally, it takes into consideration the specific characteristics of perishable products, including their shelf life, inventory management, and transportation damages. The main objective is to minimize the overall supply chain cost. To achieve this, a nonlinear mixed integer programming model is developed for the multi-echelon, multi-product, and multi-period location-inventory-routing problem (LIRP) in the PPSCN. Two hybrid metaheuristic algorithms, namely genetic algorithm (GA) and multiple population genetic algorithm (MPGA), are hybridized with variable neighborhood search (VNS) and proposed to solve this NP-hard problem. Moreover, a novel coding method is devised to represent the complex structure of the LIRP problem. The input parameters are tuned using the Taguchi experimental design method, considering the sensitivity of meta-heuristic algorithms to these parameters. Through experiments of various scales, the hybrid MPGA with VNS indicates superior performance, as evidenced by the experimental results. Sensitivity analysis is conducted to examine the influence of key model parameters on the optimal objective, providing valuable management implications. The results clearly validate the efficacy of the proposed model and solution method as a reliable tool for optimizing the design problem of the PPSCN.
通讯机构：
[Zhenggang Xu; Yunlin Zhao] A;Authors to whom correspondence should be addressed.<&wdkj&>Hunan Research Center of Engineering Technology for Utilization of Environmental and Resources Plant, Central South University of Forestry and Technology, Changsha 410004, China<&wdkj&>Key Laboratory of National Forestry and Grassland Administration on Management of Western Forest Bio-Disaster, College of Forestry, Northwest A&F University, Yangling 712100, China<&wdkj&>Authors to whom correspondence should be addressed.<&wdkj&>Hunan Research Center of Engineering Technology for Utilization of Environmental and Resources Plant, Central South University of Forestry and Technology, Changsha 410004, China
关键词：
Penicillium;heavy metal pollution;Cd;Sb;biosorption
