scholarly journals Optimal Decisions of a Supply Chain With a Risk-Averse Retailer and Portfolio Contracts

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 123877-123892 ◽  
Author(s):  
Han Zhao ◽  
Shiji Song ◽  
Yuli Zhang ◽  
Jatinder N. D. Gupta ◽  
Anna G. Devlin
Keyword(s):  
Supply Chain ◽  
Risk Averse ◽  
Optimal Decisions

scholarly journals New Product Presale Strategies considering Consumers’ Loss Aversion in the E-Commerce Supply Chain

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Chongfeng Lan ◽  
Jianfeng Zhu
Keyword(s):  
Supply Chain ◽  
Correlation Coefficient ◽  
Loss Aversion ◽  
Strategic Behavior ◽  
New Products ◽  
New Product ◽  
Service Level ◽  
Expected Profit ◽  
Risk Averse ◽  
Optimal Decisions

New product presale is a strategic behavior of manufacturers to transfer inventory risks to consumers. The research purpose of this paper is to examine the presale discount, inventory, and service level decisions in an e-commerce supply chain, where the first period is the presale period and the second is the selling period for the new product. First, consumers were divided into two types—those who are risk averse and those who are not. Then, considering different presale discounts applied for new products, three presale strategy models were discussed: no-presale strategy, presale strategy with a moderate discount, and complete presale strategy, and the optimal decisions of e-commerce supply chain members were obtained under different valuations of the new product by consumers. Finally, the effects of the correlation coefficient between the numbers of the two types of consumers, the loss aversion degree of consumers, and the marginal profit in the sales period on the optimal discounted price and the maximum expected profit were analyzed. The conclusions of this article show that the presale strategy is not always optimal but depends on the parameters of the market and the type of consumers. For example, when the correlation coefficient between the two types of consumers is high, it is more profitable for the suppliers if they choose the presale strategy with a moderate discount, while e-commerce platforms tend to adopt the no-presale strategy. The optimal discounted price in the complete presale case is not necessarily lower than that in the moderately discounted presale case. If the marginal profit is high in the normal sales period or consumers are less averse to losses, suppliers are more likely to adopt the complete presale strategy. The research conclusions provide some theoretical reference for companies in the development of new product presale strategies in the e-commerce supply chain.

scholarly journals Optimal Decisions of a Supply Chain with Two Risk-Averse and Competing Retailers under Random Demand

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Yu-Shuang Liu
Keyword(s):  
Supply Chain ◽  
Risk Aversion ◽  
Conditional Value At Risk ◽  
Stackelberg Games ◽  
Risk Averse ◽  
Demand Model ◽  
Retail Competition ◽  
Decentralized Supply Chain ◽  
Optimal Decisions ◽  
Channel Efficiency

This paper investigates the optimal decisions in a decentralized supply chain consisting of one manufacturer and two competing retailers who face price-sensitive and stochastic demand. The retailers are risk averse with conditional value at risk (CVaR) as their risk measure, and the manufacturer is a risk-neutral agent. We construct manufacturer-Stackelberg games with retailers, who engage in horizontal price competition. For the multiplicative demand model and expected demand as an exponential function of both prices, we show that there exists the optimal pricing-ordering joint decision uniquely. We then explore the influence of the price sensitivity, risk aversion, and retail competition on optimal decisions and channel efficiency. The results show that retail competition contributes to manufacturer and improves channel efficiency of the decentralized supply chain. When the retailers are more risk averse, the channel efficiency becomes much lower. However, the level of retailers’ risk aversion has no significant impact on the manufacturer’s optimal wholesale price and retailer’s optimal selling price.

scholarly journals Pricing and Coordination Strategy in a Green Supply Chain with a Risk-Averse Retailer

2019 ◽  
Vol 2019 ◽  
pp. 1-12
Author(s):  
Liyan Wang ◽  
Minghai Ye ◽  
Shanshan Ma ◽  
Yipeng Sha
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Numerical Analysis ◽  
Random Variable ◽  
Retail Price ◽  
Green Supply Chain ◽  
Green Product ◽  
Risk Averse ◽  
Coordination Strategy ◽  
Optimal Decisions

This paper addresses the pricing and coordination strategy in a green supply chain in which a manufacturer produces a green product and sells it to a risk-averse retailer. The product’s demand is a random variable influenced by the green level and the retail price. The problem is modeled in three different structures, a centralized and two decentralized models, in which the upstream manufacturer and the downstream retailer act as the channel leader, respectively. This paper presents the optimal decisions for all supply chain members, analyzes the effects of green degree and risk-averse coefficient on the supply chain members’ decision-making and their profits, and performs the numerical analysis. The results show that the green degree and the whole supply chain’s expected profits are highest in the centralized scenario, followed by the retailer-led scenario, and lowest under the manufacturer-led scenario; the green degree and the manufacturer’s expected profit increase with the risk-averse coefficient, no matter who dominates the channel; however, the risk-averse coefficient’s effects on the retailer’s expected utility and the retail price depends on who dominates the channel and on the greening investment parameter.

Decision policies on players’ different risk combination under supplier encroachment

2020 ◽  
Vol 54 (4) ◽  
pp. 1057-1075
Author(s):  
Ping Chen ◽  
Bo Li ◽  
Huafei Huang
Keyword(s):  
Supply Chain ◽  
Risk Taking ◽  
Numerical Experiments ◽  
Stackelberg Game ◽  
Risk Preferences ◽  
Management Problem ◽  
Risk Averse ◽  
Optimal Decisions ◽  
Decision Policies ◽  
The Impact

Literature concerning about the supply chain management problem is usually based on perfect rationality. However, risk preferences have been proved to be an important role which influences managers’ decisions significantly. This paper investigates a risk combination problem under supplier encroachment with different risk preferences players. Assuming that the supply chain players may be risk-averse, risk-neutral and risk-taking, we build a Stackelberg game model to explore the optimal decisions and the impact of different risk combinations, respectively. We focus on two scenarios: the consumers perceive uniform quality between the two channels and perceive differentiated quality between the two channels. We find that the retailer always prefers a risk-averse supplier, while the supplier always prefers a risk-taking retailer. But the combination of a risk-averse supplier and a risk-taking retailer is not always beneficial to the whole supply chain. Further, we conduct numerical experiments to explore the risk combinations and the impacts of players’ selfish, aggressive and altruistic behaviors on optimal decisions.

scholarly journals Trade Credit and Revenue Sharing of Supply Chain with a Risk-Averse Retailer

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Caiyun Liu ◽  
Kebing Chen ◽  
Mingxia Li ◽  
Haijie Zhou
Keyword(s):  
Supply Chain ◽  
Risk Aversion ◽  
Value At Risk ◽  
Trade Credit ◽  
Revenue Sharing ◽  
Conditional Value At Risk ◽  
Optimal Decision ◽  
Risk Averse ◽  
Credit Period ◽  
Optimal Decisions

In this paper, we develop three supply chain game models, i.e., the basic model, the single trade credit model, and the trade credit and revenue sharing collaboration model. Conditional value-at-risk (CVaR) criterion is used as the measure of risk assessment in these models. We analyze the optimal decisions in the centralized and decentralized situations, respectively, and verify that single trade credit cannot coordinate the supply chain. However, the collaboration contract can coordinate the supply chain. Furthermore, this paper explores the influence of risk-aversion factor, trade credit period, revenue sharing coefficient, and other parameters on the optimal decisions and studies the feasible range of Pareto improvement in the collaborative model. In numerical experiments, the results show that the decisions and profits of both the manufacturer and the retailer reply on the degree of the risk aversion, the trade credit period, and the revenue sharing coefficient. The collaborative contract effectively improves supply chain performance and achieves a ‘win-win’ situation for the supply chain members. In addition, we also consider two extensions for our research. One extension shows that the collaborative contract of trade credit and buyback can also coordinate the supply chain in a certain range. The other extension considers the optimal decision of a risk-averse manufacturer with CVaR.

scholarly journals Research on Closed-Loop Supply Chain Decision-Making in Different Cooperation Modes with Government’s Reward-Penalty Mechanism

2021 ◽  
Vol 13 (11) ◽  
pp. 6425
Author(s):  
Quanxi Li ◽  
Haowei Zhang ◽  
Kailing Liu
Keyword(s):  
Supply Chain ◽  
Closed Loop ◽  
Stackelberg Game ◽  
Recycling Rate ◽  
Transfer Payment ◽  
Closed Loop Supply Chain ◽  
Asymmetry Of Information ◽  
Optimal Decisions ◽  
The Government ◽  
The Impact

In closed-loop supply chains (CLSC), manufacturers, retailers, and recyclers perform their duties. Due to the asymmetry of information among enterprises, it is difficult for them to maximize efficiency and profits. To maximize the efficiency and profit of the CLSC, this study establishes five cooperation models of CLSC under the government‘s reward–penalty mechanism. We make decisions on wholesale prices, retail prices, transfer payment prices, and recovery rates relying on the Stackelberg game method and compare the optimal decisions. This paper analyzes the impact of the government reward-penalty mechanism on optimal decisions and how members in CLSC choose partners. We find that the government’s reward-penalty mechanism can effectively increase the recycling rate of used products and the total profit of the closed-loop supply chain. According to the calculation results of the models, under the government’s reward-penalty mechanism, the cooperation can improve the CLSC’s used products recycling capacity and profitability. In a supply chain, the more members participate in the cooperation, the higher profit the CLSC obtain. However, the cooperation mode of all members may lead to monopoly, which is not approved by government and customers.

scholarly journals Coordination of Supply Chain with One Supplier and Two Competing Risk-Averse Retailers under an Option Contract

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Rui Wang ◽  
Shiji Song ◽  
Cheng Wu
Keyword(s):  
Supply Chain ◽  
Conditional Value At Risk ◽  
Optimal Order ◽  
Pareto Optimum ◽  
Risk Averse ◽  
Order Quantity ◽  
Supply Chain System ◽  
Chain System ◽  
Option Contract ◽  
Optimal Order Quantity

This paper studies an option contract for coordinating a supply chain comprising one risk-neutral supplier and two risk-averse retailers engaged in promotion competition in the selling season. For a given option contract, in decentralized case, each risk-averse retailer decides the optimal order quantity and the promotion policy by maximizing the conditional value-at-risk of profit. Based on the retailers’ decision, the supplier derives the optimal production policy by maximizing expected profit. In centralized case, the optimal decision of the supply chain system is obtained. Based on the decentralized and centralized decision, we find the coordination conditions of the supply chain system, which can optimize the supply chain system profit and make the profits of the supply chain members achieve Pareto optimum. As for the subchain, we also find the coordination conditions, which generalize the results of the supply chain with one supplier and one retailer. Our analysis and numerical experiments show that there exists a unique Nash equilibrium between two retailers, and the optimal order quantity of each retailer increases (decreases) with its own (competitor’s) promotion level.

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