scholarly journals Dynamic Pricing and Supply Coordination with Reimbursement Contract under Random Yield and Demand

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Guo Li ◽  
Lun Ran ◽  
Xiaohang Yue ◽  
Zhaohua Wang
Keyword(s):  
Supply Chain ◽  
Dynamic Pricing ◽  
Risk Sharing ◽  
Supply Chain Coordination ◽  
Market Demand ◽  
Decentralized System ◽  
Decentralized Supply Chain ◽  
Production Quantity ◽  
Order Quantities ◽  
Centralized System

This paper investigates the dynamic pricing and supply chain coordination in a decentralized system that consists of one supplier and one manufacturer, in which both the market demand and production yield are stochastic. We show that the centralized expected profit is jointly concave in the production quantity and order quantity when the price is ex-ante selected. We also derive the equilibrium strategies in the decentralized system and prove that the entire profit of supply chain is inevitably lower than that under centralized system. Based on this, we propose a reimbursement contract to coordinate the decentralized supply chain so as to achieve the maximized profit. It is worth mentioning that, under reimbursement contract, the equilibrium production and order quantities are irrelevant to the manufacturer's risk sharing coefficient but are only determined by the supplier’s risk sharing coefficient.

scholarly journals Coordinating a fresh-product supply chain with demand information updating: Hema Fresh O2O platform

2021 ◽  
Author(s):  
Jiawu Peng ◽  
Honglin Yang
Keyword(s):  
Supply Chain ◽  
Risk Sharing ◽  
Lead Time ◽  
Supply Chain Coordination ◽  
Market Demand ◽  
Profit Allocation ◽  
Information Updating ◽  
Demand Information ◽  
Production Quantity ◽  
Theoretical Results

Motivated by Hema Fresh's new-retail case, we study the coordination of a two-echelon fresh-product supply chain consisting of a single supplier and a single retailer. Due to a long production lead time, the supplier has to make production decision in advance based on early demand information. The market demand can be updated during the supplier's production lead time. Hence, the retailer would make order decision according to the latest demand information. Incorporating risk-sharing mechanism of overproduction and overstock, we propose a novel bi-directional risk-sharing contract to coordinate such a supply chain with demand information updating. We construct a two-stage optimization model in which the supplier first decides production quantity, and then the retailer decides final order quantity not exceeding the supplier’s initial production. In both the centralized and decentralized systems, we analytically derive the unique equilibrium of production and order decisions in a Stackelberg supplier-led game. We prove that the proposed contract can realize supply chain perfect coordination and explore how the proposed contract affects the members'decisions. The theoretical results show that, by turning the risk-sharing proportions, the supply chain profit can be arbitrarily split between the members, which is a desired property for supply chain coordination. Compared with the single risk-sharing contract, the proposed contract results in a greater supply chain profit and achieves Pareto improvement for both members. Furthermore, we also explore how the risk preference and negotiating power affect the contract selection and the additional profit allocation of the supply chain. Numerical examples are presented to verify our theoretical results.

scholarly journals Assessing the coordinated revenue-sharing contract of China’s farmer-supermarket direct-purchase model

2021 ◽  
pp. 1-16
Author(s):  
Peng Liang ◽  
Melat Sima ◽  
Yu Huang ◽  
Xiaoyu Sun
Keyword(s):  
Supply Chain ◽  
Risk Sharing ◽  
Supply Chain Coordination ◽  
Revenue Sharing ◽  
Market Demand ◽  
Long Term Stability ◽  
Revenue Sharing Contract ◽  
Promotional Efforts

China began connecting farmers directly with supermarkets 10 years ago, when they were at a disadvantage and forced to sell products at low prices, as unstable cooperation among supply chain participants led to inequitable distribution of revenue. Revenue-sharing contracts offer a risk-sharing approach to ensure supply chain coordination and optimize profit for all. Research on short life cycle products with revenue-sharing contracts assume stable prices or investigate the effects of revenue-sharing contracts on supply chain coordination. This study introduced a revenue-sharing contract model into a ‘farmer-supermarket direct-purchase’ supply chain, considering price fluctuation and retail promotional efforts, stochastic market demand, among other factors. Revenue-sharing contracts achieved long-term stability in supply chain coordination, all participants obtained more profits, and the size of revenue-sharing parameter depends on the position and bargaining power of all participants. A case study on Tianhong supermarket and Nanxia farmer cooperative verified these findings, eliciting practical implications for professionals and policymakers.

Capital-constrained bi-objective newsvendor model with risk-averse preference and bankruptcy threshold

2019 ◽  
Vol 120 (2) ◽  
pp. 406-424
Author(s):  
Chen Yang ◽  
Desheng Wu ◽  
Weiguo Fang
Keyword(s):  
Supply Chain ◽  
Supply Chain Coordination ◽  
Optimal Order ◽  
Wealth Status ◽  
Bankruptcy Risk ◽  
Content Type ◽  
Decentralized System ◽  
Objective Programming ◽  
Optimal Ordering ◽  
Centralized System

Purpose The purpose of this paper is to investigate the major factors influencing retailer’s optimal ordering strategy in a supply chain consisting of one supplier and one retailer, where the retailer is newsvendor-like and capital-constrained, and further explore the issue of supply chain coordination. Design/methodology/approach Based on bi-objective programming which is modeled under the mean-variance framework, the retailer’s optimal ordering strategy is derived. Furthermore, through comparative analysis between decentralized system and centralized system along with a numerical simulation, this study examines the theoretical conclusions about supply chain coordination. Findings This study shows that a poor retailer with a high Expected Terminal Wealth Target Threshold (ETWTT) would ignore bankruptcy risk and order more, whereas a rich retailer is relatively conservative. It also reveals that in some cases, the optimal order quantity and performance of decentralized system could be both improved. However, the centralized system can always get more profit than the decentralized one. Originality/value This study uses a bankruptcy threshold to describe retailer’s bankruptcy risk, and considers retailer’s wealth status to formulate the model as an innovative bi-objective programming. The type of retailer as rich or poor in terms of his wealth status and asset structure is distinguished. Moreover, the impacts of retailer’s type and ETWTT on ordering strategy are examined.

scholarly journals Design of risk sharing and coordination mechanism in supply chain under demand and supply uncertainty

2021 ◽  
Author(s):  
Chunyi Ji ◽  
Xiangxiang Liu
Keyword(s):  
Supply Chain ◽  
Risk Sharing ◽  
Supply Chain Coordination ◽  
Wholesale Price ◽  
Coordination Mechanism ◽  
Market Demand ◽  
Supply Uncertainty ◽  
Demand Forecast ◽  
Demand And Supply ◽  
Better Than

Perishable and short-life products can be seen everywhere in life. Due to the particularity of these products, they are more complicated in supply chain management. This paper studies whether the two-part tariff and ZRS contract can achieve the purpose of reducing risks and coordinating supply chain. We assume that market demand and supplier yield are uncertain, and we use game theory and probability distribution for research. The research results show that when the information is asymmetric, the manufacturer always ignore the demand forecast information provided by the retailer under the wholesale price contract. When the demand is uncertain, regardless of whether the information is symmetric or asymmetric, the two-part tariff contract and the ZRS contract can coordinate the supply chain and achieve maximum profit. When the retailer's degree of risk aversion is high, the ZRS contract is better than the two-part tariff, which can reduce the risk of retailers and achieve the purpose of coordinating the supply chain. When the supply is uncertain, the manufacturer can provide the supplier with a risk-sharing contract, including the return price and the sharing ratio that meet certain constraints. Such a contract can effectively reduce the supplier's risk and realize supply chain coordination.

Supply Chain Coordination for E-Commerce: Risk Penalty vs. Flat Rate

2021 ◽  
Author(s):  
Ju Myung Song ◽  
Yao Zhao
Keyword(s):  
Supply Chain ◽  
Information Asymmetry ◽  
Risk Sharing ◽  
Supply Chain Coordination ◽  
Wholesale Price ◽  
Problem Definition ◽  
Third Party ◽  
Common Belief ◽  
Shipping Industry ◽  
Flat Rate

Problem definition: We study the coordination of an E-commerce supply chain between online sellers and third party shippers to meet random demand surges, induced by, for instance, online shopping holidays. Academic/practical relevance: Motivated by the challenge of meeting the unpredictable demand surges in E-commerce, we study shipping contracts and supply chain coordination between online sellers and third party shippers in a novel model taking into account the unique features of the shipping industry. Methodology: We compare two shipping contracts: the risk penalty (proposed by UPS) and the flat rate (used by FedEx), and analyze their impact on the seller, the shipper, and the supply chain. Results: Under information symmetry, the sophisticated risk penalty contract is no better than the simple flat rate contract for the shipper, against common belief. Although both the risk penalty and the flat rate can coordinate the supply chain, the risk penalty does so only if the shipper makes zero profit, but the flat rate can provide a positive profit for both. These results represent a new form of double marginalization and risk-sharing, in sharp contrast to the well-known literature on the classic supplier-retailer supply chain, where risk-sharing contracts (similar to the risk penalty) can bring benefits to all parties, but the single wholesale price contract (similar to the flat rate) can achieve supply chain coordination only when the supplier makes zero profit. We also find that only the online seller, but not the shipper, has the motivation to vertically integrate the seller-shipper supply chain. Under information asymmetry, however, the risk penalty brings more benefit to the shipper than the flat rate, but hurts the seller and the supply chain. Managerial implications: Our results imply that information plays an important role in the shipper’s choices of shipping contracts. Under information symmetry, the risk penalty is unnecessarily complex because the simple flat rate is as good as the risk penalty for the shipper; moreover, it is better for the seller-shipper coordination. However, under information asymmetry, the shipper faces additional shipping risk that can be offset by the extra flexibility of the risk penalty. Our study also explains and supports the recent practice of online sellers (e.g., Amazon.com and JD.com), but not shippers, to vertically integrate the supply chain by consistently expanding their shipping capabilities.

Coordination and Decision of Supply Chain Under

2019 ◽  
Vol 12 (3) ◽  
pp. 21-46 ◽  
Author(s):  
Guangdong Liu ◽  
Tianjian Yang ◽  
Yao Wei ◽  
Xuemei Zhang
Keyword(s):  
Supply Chain ◽  
Numerical Analysis ◽  
Cost Sharing ◽  
Supply Chain Coordination ◽  
Pareto Improvement ◽  
Optimal Price ◽  
Decentralized System ◽  
Risk Neutral ◽  
Future Work ◽  
Dependent Demand

In order to investigate supply chain coordination and decision under customer balking and stochastic demand, the article considers a two-echelon supply chain consisting of one manufacturer with risk-neutral and one retailer with risk-neutral and develops two models in a centralized and a decentralized system and the three contracts are designed to coordinate supply chain and the optimal price and customer balking strategies are obtained. The results show that the revenue and cost-sharing contract can coordinate supply chain under customer balking and price-dependent demand and achieve the Pareto-improvement; the expected sales quantity and expected reduced sales quantity are influenced conversely by the threshold of inventory and probability of a sale under customer balking. In addition, numerical analysis is given to verify the effectiveness of revenue and cost-sharing contract and the paper gives some managerial insights and puts forward to the future work at last.

Lot Sizing and Dynamic Pricing with Random Yield and Different Qualities

2012 ◽  
Vol 4 (3) ◽  
pp. 91-101
Author(s):  
Guo Li ◽  
Tao Gao ◽  
Zhaohua Wang ◽  
Shihua Ma
Keyword(s):  
Supply Chain ◽  
Dynamic Pricing ◽  
Lot Sizing ◽  
Random Component ◽  
Random Yield ◽  
Type B ◽  
Numerical Illustration ◽  
Optimal Production ◽  
Pricing Errors ◽  
Centralized System

The literature under random component yield has focused on coordination of supply chain at the determined price, where decision maker chooses its optimal production quantities. The authors consider a centralized system when the price is not determined under both random yield and demand. Type A with perfect quality and type B with imperfect quality are produced due to the random yield. They prove the unique concavity of expected profit in centralized system at determined price. Then dynamic pricing is considered and algorithm is put forward for dynamic pricing. Errors can be sufficiently small as long as some parameters can be set suitably. Apart from lot sizing and dynamic pricing, the authors also provide qualitative insights based on numerical illustration of centralized and decentralized solutions.

scholarly journals Supply Chain Coordination under Trade Credit and Quantity Discount with Sales Effort Effects

2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Zhihong Wang ◽  
Shaofeng Liu
Keyword(s):  
Supply Chain ◽  
Analytical Model ◽  
Hybrid Model ◽  
Trade Credit ◽  
Supply Chain Coordination ◽  
Market Demand ◽  
Quantity Discount ◽  
Model Combining ◽  
Effort Effect

The purpose of this paper is to investigate the role of trade credit and quantity discount in supply chain coordination when the sales effort effect on market demand is considered. In this paper, we consider a two-echelon supply chain consisting of a single retailer ordering a single product from a single manufacturer. Market demand is stochastic and is influenced by retailer sales effort. We formulate an analytical model based on a single trade credit and find that the single trade credit cannot achieve the perfect coordination of the supply chain. Then, we develop a hybrid quantitative analytical model for supply chain coordination by coherently integrating incentives of trade credit and quantity discount with sales effort effects. The results demonstrate that, providing that the discount rate satisfies certain conditions, the proposed hybrid model combining trade credit and quantity discount will be able to effectively coordinate the supply chain by motivating retailers to exert their sales effort and increase product order quantity. Furthermore, the hybrid quantitative analytical model can provide great flexibility in coordinating the supply chain to achieve an optimal situation through the adjustment of relevant parameters to resolve conflict of interests from different supply chain members. Numerical examples are provided to demonstrate the effectiveness of the hybrid model.

scholarly journals Research on the Fresh Agricultural Product Supply Chain Coordination with Supply Disruptions

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Sun Guohua
Keyword(s):  
Supply Chain ◽  
Supply Chain Coordination ◽  
Wholesale Price ◽  
Planning Horizon ◽  
Optimal Order ◽  
Agricultural Product ◽  
Supply Disruptions ◽  
Decentralized Supply Chain ◽  
Lump Sum ◽  
Coordination Contract

This paper develops a dynamic model in a one-supplier-one-retailer fresh agricultural product supply chain that experiences supply disruptions during the planning horizon. The optimal solutions in the centralized and decentralized supply chains are studied. It is found that the retailer’s optimal order quantity and the maximum total supply chain profit in the decentralized supply chain with wholesale price contract are less than that in the centralized supply chain. A two-part tariff contract is proposed to coordinate the decentralized supply chain with which the maximum profit can be achieved. It is found that the optimal wholesale price should be a decreasing piecewise function of the final output. To ensure that the supplier and the retailer both have incentives to accept the coordination contract, a lump-sum fee is offered. The interval of lump-sum fee is given leaving both the supplier and the retailer better off with the two-part tariff contract.

scholarly journals Three-level supply chain coordination of fresh agricultural products in the Internet of Things

2017 ◽  
Vol 117 (9) ◽  
pp. 1842-1865 ◽  
Author(s):  
Bo Yan ◽  
Xiao-hua Wu ◽  
Bing Ye ◽  
Yong-wang Zhang
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
Supply Chain Coordination ◽  
Revenue Sharing ◽  
Agricultural Product ◽  
The Internet ◽  
Market Demand ◽  
Content Type ◽  
Revenue Sharing Contract ◽  
The Internet Of Things

Purpose The Internet of Things (IoT) is used in the fresh agricultural product (FAP) supply chain, which can be coordinated through a revenue-sharing contract. The purpose of this paper is to make the three-level supply chain coordinate in IoT by considering the influence of FAP on market demand and costs of controlling freshness on the road. Design/methodology/approach A three-level FAP supply chain that comprises a manufacturer, distributor, and retailer in IoT is regarded as the research object. This study improves the revenue-sharing contract, determines the optimal solution when the supply chain achieves maximum profit in three types of decision-making situations, and develops the profit distribution model based on the improved revenue-sharing contract to coordinate the supply chain. Findings The improved revenue-sharing contract can coordinate the FAP supply chain that comprises a manufacturer, distributor, and retailer in IoT, as well as benefit all enterprises in the supply chain. Practical implications Resource utilization rate can be improved after coordinating the entire supply chain. Moreover, loss in the circulation process is reduced, and the circulation efficiency of FAPs is improved because of the application of IoT. The validity of the model is verified through a case analysis. Originality/value This study is different from other research in terms of the combination of supply chain coordination, FAPs, and radio frequency identification application in IoT.

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