scholarly journals Research on the Mechanism of Cold Chain Logistics Subsidy

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Nai-Ru Xu ◽  
Zheng-Qun Cai
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Coordination Mechanism ◽  
Cold Chain ◽  
Government Subsidy ◽  
Supply Chain System ◽  
Chain System ◽  
Decentralized Decision Making ◽  
Optimal Pricing Strategy ◽  
Differential Pricing

Considering the coexistence of cold chain agro-products and ordinary agro-products in the market, the research object is the cold chain logistics subsidy. It is designed that a supply chain system consisting of duopoly upstream agro-products suppliers and a downstream agro-products retailer for research. The mechanism of cold chain logistics subsidy is studied by analyzing the influence of cold chain subsidy on pricing behavior and cold chain decision-making of cold chain agro-products and ordinary agro-products. Based on the decentralized decision-making model without government subsidy, a differential pricing model for cold chain agro-products and ordinary agro-products with government subsidy is established in order to reduce the cost of cold chain agro-products. The optimal pricing strategy of two agro-products suppliers and their downstream retailer can be obtained by solving this problem. The research finds that differential pricing caused by government subsidy can achieve profit Pareto improvement of suppliers, retailer, and supply chain system of cold chain agro-products, but cannot achieve the optimal profit of the whole supply chain. Therefore, in view of the loss of supply chain efficiency caused by decentralized decision-making, the Shapley value method is used to make coordination, and the contract coordination mechanism is designed. Finally, the sensitivity of parameters is analyzed by a numerical example.

scholarly journals Decision Optimization and Interest Coordination of Dual-Channel Supply Chain Embedded by Two-Echelon Logistics Service Providers under the Dominance of Retailer

2020 ◽  
Vol 2020 ◽  
pp. 1-22
Author(s):  
Jianjun Zhang ◽  
Daning Xing
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Service Providers ◽  
Sensitivity Coefficient ◽  
Service Level ◽  
Profit Sharing ◽  
Decision Makers ◽  
Coordination Mechanism ◽  
Supply Chain System ◽  
Decentralized Decision Making

Taking the dual-channel supply chain embedded by two-echelon logistics service providers as the research object, this paper studies the optimal decisions of each decision maker under the centralized and decentralized decision-making mode led by the retailer. Based on the decentralized decision-making mode, an improved coordination mechanism of residual profit sharing is designed to realize the interest coordination, in which the bargaining power of all participants is fully considered. The results show that, under the decentralized decision-making mode, the profit of FLSP increases first and then decreases as the sensitivity coefficient of cross-service level increases, while the profits of other decision makers and the supply chain system decrease with the increase of sensitivity coefficient of cross-service level. The relative size of the price sensitivity coefficient of online and offline channel has an inconsistent impact on the profit of FLSP, while it has a consistent impact on the profits of other decision makers. The profit of FLSP fluctuates greatly with changes in the sensitivity coefficient, and it is difficult to be guaranteed in the entire supply chain system. On this basis, an improved coordination mechanism of residual profit sharing is designed. The results show that, after the introduction of bargaining power coefficient of the Nash negotiation model, the variation coefficient of the profits of all decision makers is smaller after coordination, and the profit growth rates are more uniform.

scholarly journals Self-Operated Store or Franchised Store? Optimal Decisions for Online-to-Offline Supply Chain with a Demand Shift

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Feng Wei ◽  
Yan Zhu
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Coordination Mechanism ◽  
Transfer Payment ◽  
Selling Price ◽  
Supply Chain System ◽  
Optimal Decisions ◽  
Decentralized Decision Making ◽  
Total Profit ◽  
Demand Shifts

Mutual shifts in offline and online demand have become the norm in supply chain operations. The online-to-offline (O2O) supply chain system consists of a platform vendor, a physical store, and a product. The platform vendor sells the product directly online and governs either the centralized decision-making of a self-operated store or the decentralized decision-making of a franchised store offline. In this study, supply chain decision models with and without demand shifts are constructed to obtain optimal wholesale and selling prices and to maximize profit. The coordination mechanism under decentralized decision-making is designed to optimize the O2O supply chain, and the validity and applicability of the model are verified by numerical simulation. Results show that, regardless of whether a store is self-operated or franchised, the total profit of the system increases, and online and offline prices depend on a range of demand shifts. With an increased proportion of online demand shifts, the offline selling price and total profit of the system increase, whereas the online selling price and profit of the platform vendor decrease under decentralized decision-making. When the fixed transfer payment fee is within a certain range, a two-part-tariff contract can effectively coordinate the supply chain. This study not only contributes to the theoretical literature on O2O supply chain systems but also provides practical decision-making support for managers.

scholarly journals Warranty Period Decision and Coordination in Closed-Loop Supply Chains Considering Remanufacturing and Consumer Behavior

2019 ◽  
Vol 11 (15) ◽  
pp. 4237 ◽  
Author(s):  
Xiaodong Zhu ◽  
Lingfei Yu ◽  
Wei Li
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chains ◽  
Closed Loop ◽  
Supply Chain System ◽  
Closed Loop Supply Chain ◽  
Chain System ◽  
Warranty Period ◽  
Closed Loop Supply Chains ◽  
Decision Making Model

The closed-loop supply chain management model is an effective way to promote sustainable economic development and environmental protection. Increasing the sales volume of remanufactured products to stimulate green growth is a key issue in the development of closed-loop supply chains. By designing an effective warranty strategy, customer’s perceived value can be enhanced and market demand can be stimulated. This study cuts through the warranty period of closed-loop supply chain products. Based on the perspective of consumer behavior, game theory is used to construct the optimal decision-making model for closed-loop supply chains. The optimal warranty decision making for new products and remanufactured products under centralized and decentralized decision-making models is discussed. Further, the impact of the closed-loop supply chain system with warranty services and the design of contract coordination is also shown. We show that consumer preference has a positive impact on the sales of remanufactured products and the profits of enterprises; with the extension of the new product and remanufacturing warranty period, the profit of the supply chain system first increases and then decreases, and the value is maximized at the extreme point in the manufacturer-led decision-making model. Furthermore, the leader gains higher profits with bargaining power, but the profit of the supply chain system under decentralized decision model is less than that of the centralized decision model, reflecting the double marginalization effect. The revenue sharing contract and the two-charge contract designed in this study coordinate the closed-loop supply chain system with warranty services, so that the member companies in the supply chain can achieve Pareto improvement.

scholarly journals Decision Optimization of Low-Carbon Dual-Channel Supply Chain of Auto Parts Based on Smart City Architecture

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-14 ◽  
Author(s):  
Zheng Liu ◽  
Bin Hu ◽  
Bangtong Huang ◽  
Lingling Lang ◽  
Hangxin Guo ◽  
...  
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Carbon Emissions ◽  
Smart City ◽  
Carbon Emission ◽  
Low Carbon ◽  
Supply Chain System ◽  
Chain System ◽  
Carbon Supply ◽  
Auto Parts

Affected by the Internet, computer, information technology, etc., building a smart city has become a key task of socialist construction work. The smart city has always regarded green and low-carbon development as one of the goals, and the carbon emissions of the auto parts industry cannot be ignored, so we should carry out energy conservation and emission reduction. With the rapid development of the domestic auto parts industry, the number of car ownership has increased dramatically, producing more and more CO2 and waste. Facing the pressure of resources, energy, and environment, the effective and circular operation of the auto parts supply chain under the low-carbon transformation is not only a great challenge, but also a development opportunity. Under the background of carbon emission, this paper establishes a decision-making optimization model of the low-carbon supply chain of auto parts based on carbon emission responsibility sharing and resource sharing. This paper analyzes the optimal decision-making behavior and interaction of suppliers, producers, physical retailers, online retailers, demand markets, and recyclers in the auto parts industry, constructs the economic and environmental objective functions of low-carbon supply chain management, applies variational inequality to analyze the optimal conditions of the whole low-carbon supply chain system, and finally carries out simulation calculation. The research shows that the upstream and downstream auto parts enterprises based on low-carbon competition and cooperation can effectively manage the carbon footprint of the whole supply chain through the sharing of responsibilities and resources among enterprises, so as to reduce the overall carbon emissions of the supply chain system.

scholarly journals Warranty Decision Model and Remanufacturing Coordination Mechanism in Closed-Loop Supply Chain: View from a Consumer Behavior Perspective

2018 ◽  
Vol 10 (12) ◽  
pp. 4738 ◽  
Author(s):  
Xiaodong Zhu ◽  
Lingfei Yu ◽  
Ji Zhang ◽  
Chenliang Li ◽  
Yizhao Zhao
Keyword(s):  
Supply Chain ◽  
Decision Model ◽  
Closed Loop ◽  
Stackelberg Game ◽  
Coordination Mechanism ◽  
Market Demand ◽  
Supply Chain System ◽  
Closed Loop Supply Chain ◽  
Chain System ◽  
Warranty Service

The remanufacturing warranty strategy has become an effective mechanism for reducing consumer risk and stimulating market demand in closed-loop supply chain management. Based on the characteristics of consumers’ behavior of purchase decisions, this paper studies the warranty decision model of remanufacturing closed-loop supply chain under the Stackelberg game model. The present study discussed and compared the decision variables, including remanufacturing product pricing, extended warranty service pricing, warranty period and supply chain system profit. The research shows that consumers’ decision-making significantly affirms the dual marginalization effect of the supply chain system while significantly affecting the supply chain warranty decision; the improved revenue sharing contract and the two charge contracts respectively coordinates the manufacturer-led and retail-oriented closed-loop supply chain system, which effectively implements the Pareto improvement of the closed-loop supply chain system with warranty services. In the present study, the model is verified and analyzed by numerical simulation.

scholarly journals Government Subsidies and Revenue Sharing Decisions for Port and Shipping Service Supply Chain in Emission Control Areas

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Bing Han ◽  
Xia Pan ◽  
Yu Zhou
Keyword(s):  
Supply Chain ◽  
Emission Reduction ◽  
Emission Control ◽  
Revenue Sharing ◽  
System Optimization ◽  
Government Subsidy ◽  
Supply Chain System ◽  
Chain System ◽  
Service Supply Chain ◽  
The Government

As the core of the port and shipping service supply chain system, the port and shipping companies must urgently solve the problem of how to balance emissions, costs, and benefits with the gradual extension of China’s emission control area (ECA) and the stringent emission requirements. From the perspective of system optimization, this research constructs a revenue sharing model of the port and shipping service supply chain and deals with the revenue sharing decision-making problem of the secondary service supply chain after port enterprises and shipping enterprises joining the government subsidy mechanism driven by ECA’s policy. Research shows that the government subsidy mechanism directly affects the profit of the port and shipping service supply chain, which is the key factor in implementing the ECA’s policy and promoting the emission reduction of the port and shipping enterprises. The revenue sharing of the port and shipping enterprises plays a decisive role in the revenue of the shipping enterprises. Cooperative emission reduction mechanism should be led by port enterprises to promote the balance between revenue and emission reduction in the supply chain system. Results provide a reference for the Chinese government to formulate corresponding incentives and subsidy policy under the new ECA’s regulations as well as solving the problems of how to balance emissions reduction and cost improvement for port and shipping enterprises.

scholarly journals An Algebraic Decision Support Model for Inventory Coordination in the Generalized n-Stage Non-Serial Supply Chain with Fixed and Linear Backorders Costs

Symmetry ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 1998
Author(s):  
Mohamed Seliaman ◽  
Leopoldo Cárdenas-Barrón ◽  
Sayeed Rushd
Keyword(s):  
Supply Chain ◽  
Coordination Mechanism ◽  
Total System ◽  
Decision Support Model ◽  
Supply Chain System ◽  
Numerical Examples ◽  
Chain System ◽  
Operational Information ◽  
N Stage ◽  
Inventory Decisions

This paper extends and generalizes former inventory models that apply algebraic methods to derive optimal supply chain inventory decisions. In particular this paper considers the problem of coordinating production-inventory decisions in an integrated n-stage supply chain system with linear and fixed backorder costs. This supply chain system assumes information symmetry which implies that all partners share their operational information. First, a mathematical model for the supply chain system total cost is formulated under the integer multipliers coordination mechanism. Then, a recursive algebraic algorithm to derive the optimal inventory replenishment decisions is developed. The applicability of the proposed algorithm is demonstrated using two different numerical examples. Results from the numerical examples indicate that adopting the integer multiplier mechanism will reduce the overall total system cost as compared to using the common cycle time mechanism.

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