This paper proposes a model for dynamic pricing that combines knowledge of production capacity and existing commitments, reasoning about uncertainty and learning of market conditions in an attempt to optimise expected profits. In particular, the changing market conditions are represented as a set of probabilities over the success rate of product prices. The dynamic pricing model is integrated i...

Abstract With the rapid development of new energy vehicles (NEVs), recycling and reuse retired power batteries has attracted extensive attention from society scholars. In this paper, we establish a closed-loop supply chain model composed government, one battery supplier NEV manufacturer. Based on game theory, considering whether encroaches channel, study optimal decisions government members und...

In this paper, the coordination of pricing and periodic review inventory decisions in a supplier-retailer supply chain (SC) is proposed. In the investigated SC, the retailer faces a stochastic price dependent demand and determines the review period, order-up-to-level, and retail price. On the other hand, the supplier decides on the replenishment multiplier. Firstly, the decentralized and centra...

this paper develops a closed-loop supply chain including one manufacturer, one retailer and a third party, in which the manufacturer produces a product under appropriate quality and sells it through a retailer in the market. the retailer pays the expense of marketing effort and a third party collects the used products from consumers and sends to the manufacturer. the manufacturer remanufactures...

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Minimum Advertised Price (MAP) is a pricing policy widely used by manufacturers to influence prices set by their downstream partners. A MAP policy imposes a lower bound on advertised prices for retailers. Retailers that advertise prices below the MAP price violate the policy and are subject to a punishment such as termination of the distribution agreement. Despite this threat, a central issue w...

Supply chain risk management is an active area of research and there is a research gap of exploring established risk quantification techniques in other fields for application in the context of supply chain management. We have developed a novel framework for quantification of supply chain risks that integrates two techniques of Bayesian belief network and Game theory. Bayesian belief network can...

Taking a food supply chain approach, this paper examines the regulation of food marketing and nutrition labelling as strategies to help combat obesity in China in an era of rapid agro-food industry growth. China is the largest food producer and consumer in the world. Since the early 1980s, the agro-food industry has undergone phenomenal expansion throughout the food supply chain, from agricultu...

This paper investigates the emission reduction performance for supply chain members in both single-channel and exclusive dual-channel cases. Two game scenarios (Manufacturer Stackelberg and Retailer Stackelberg) are examined under different channel structures. Furthermore, we introduce government subsidies as an impact factor of low-carbon strategy adoption. In the single-channel (Case 1), we m...