scholarly journals Complex Dynamics Analysis of Closed-Loop Supply Chain considering CSR and Fairness Concerns

2021 ◽  
Vol 2021 ◽  
pp. 1-23
Author(s):  
Fei Zhang ◽  
Zhimin Hu ◽  
Yunzhong Yang ◽  
Xiaogang Ma
Keyword(s):  
Supply Chain ◽  
Complex Dynamics ◽  
Negative Impact ◽  
Stable State ◽  
System Stability ◽  
Optimal Decision ◽  
Chain Model ◽  
Decision System ◽  
Chaotic State ◽  
Fairness Concerns

This paper constructs a supply chain model composed of a manufacturer and a recycler. The manufacturer’s CSR and the recycler’s fairness concerns are introduced to the benchmark model in turn, and the optimal decision-making problems under different models are studied and compared. The findings show that the manufacturer’s utility will increase and the recycler’s utility will decrease when the manufacturer undertakes CSR within a reasonable range. The optimal utility of manufacturers does not change, and the utility of the recycler is affected by the proportion of CSR undertaken by the manufacturer when the recycler considers fairness concerns. Based on the CSR and fairness model, this paper constructs a dynamic decision system of production quantity and eco-innovation effort. We analyze the influence of adjustment speed on the dynamic decision system and obtain the conditions required to maintain system stability. The research conclusion indicates that with the increase of adjusting parameters, the system gradually appears chaotic state from a stable state and the chaotic state of the system has a negative impact on the utility of manufacturer and recycler. In order to avoid chaos in the system, this paper uses the delayed feedback method to control the system.

scholarly journals Research of Dual-channel Supply Chain Decision with Consideration of Low-carbon and Fairness Concerns

2021 ◽  
Vol 275 ◽  
pp. 02062
Author(s):  
Guoshuai Niu ◽  
Qi Wei
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Single Channel ◽  
Optimal Decision ◽  
Chain Model ◽  
Low Carbon ◽  
Carbon Supply ◽  
Fairness Concerns ◽  
Fairness Concern ◽  
Double Channel

With in-depth implementation of policies on energy conservation and emission reduction and rising of low-carbon production practice in enterprises, low-carbon supply chain has gradually become a research issue which causes extensive attentions from scholars. However, most existing researches focus on supply chain decision and coordination under the background of single channel or mere consideration of fairness concerns of retailers. Therefore, the fairness concerns of manufacturers were taken into account in the double-channel low-carbon supply chain. A double-channel low-carbon supply chain model was constructed to research the influence of manufacturers’ fairness concerns to the optimal decision-making of all parties in the supply chain and to the overall performance of supply chain. The research results suggested that: with improvement of manufacturers’ fairness concern coefficient, the decision-making of supply chain members demonstrated different changing strength; the manufacturers’ fairness concern caused harm to overall profit of supply chain.

scholarly journals Green Manufacturing Strategy Considering Retailers’ Fairness Concerns

2019 ◽  
Vol 11 (17) ◽  
pp. 4646 ◽  
Author(s):  
Zhang ◽  
Zhang ◽  
Pu ◽  
Li
Keyword(s):  
Supply Chain ◽  
Positive Impact ◽  
Green Manufacturing ◽  
Optimal Decision ◽  
Manufacturing Strategy ◽  
Supply Chain System ◽  
Dual Channel ◽  
Fairness Concerns ◽  
Fairness Concern ◽  
High Level

This paper addresses the problem of green manufacturing decision making for a green dual-channel supply chain (SC). In the investigated SC, the manufacturer will decide whether to adopt green manufacturing under the influence of the retailer’s fairness concern-based dual-channel. Thus, we discuss two decision scenarios: the no green manufacturing strategy with retailer fairness (NM model), and green manufacturing with retailer fairness (GM model). Our study has several findings: Firstly, adopting a green manufacturing strategy is not always beneficial to supply-chain members when a retailer has fairness. In particular, when fairness is at a relatively high level, the manufacturer will not adopt green manufacturing. Secondly, under green manufacturing, the product’s green degree and subsidies have a positive impact on the price and demand and the members’ profit and utility. Besides, the subsidies and retailer fairness have a counter effect on the optimal decision. Thirdly, comparing the two scenarios (NM & GM), we found that the channel price of the GM model is lower than the NM model. Finally, from the perspective of the supply chain system, the system tends toward the manufacturer adopting green manufacturing and maintaining retailer fairness concerns at a lower level.

scholarly journals The Impact of RFID Investment on Complex Product in Three-Level Assembly Supply Chain

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Wei Xu ◽  
Zhaotong Lian ◽  
Xifan Yao
Keyword(s):  
Information Technology ◽  
Supply Chain ◽  
Supply Chain Coordination ◽  
Stackelberg Games ◽  
Optimal Decision ◽  
Chain Model ◽  
Complex Product ◽  
Coordination Model ◽  
Technology Investment ◽  
The Impact

Motivated by the complex product with the feature about error-prone assembly system and supply chain inventory inaccuracy, this paper elaborates on the impact of information technology investment on complex product by establishing a three-stage supply chain model involving two suppliers, one manufacturer, and retailer which carried out Stackelberg games. In addition, it not only compares the manufacturer and the retailer’s optimal decision and maximum profit under the situation of the information asymmetry and free information sharing, but also analyzes their market behavior and changes in market performance. Meanwhile, it points out that the downstream in supply chain masters more information about market demands compared to the upstream one. The optimal cost threshold values of technology investment are also examined both for the centralized and the decentralized scenarios utilizing quantitative and modeling methods. By analyzing and comparing the optimal profit with or without investment on information technology, it establishes a supply chain coordination model which boosts the application of information technology. At the same time, it offers the conditions on which the upstream and downstream enterprises can coordinate with one another. The results of this paper have contributed significantly to making the price and ordering decisions on whether RFID should be adopted among members of the supply chain. Finally, we present numerical analyses, and several extensions of the model are considered as well.

scholarly journals Supply Chain Decisions and Coordination under the Combined Effect of Overconfidence and Fairness Concern

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Zhang Zhijian ◽  
Peng Wang ◽  
Miyu Wan ◽  
Junhua Guo ◽  
Jian Liu
Keyword(s):  
Supply Chain ◽  
Stackelberg Game ◽  
Supply Chain Coordination ◽  
Joint Effect ◽  
Optimal Order ◽  
Chain Model ◽  
Order Quantity ◽  
Supply Chain Model ◽  
Fairness Concerns ◽  
Fairness Concern

The purpose of this study was to examine the joint effect of overconfidence and fairness concern on supply chain decisions and design contracts to achieve a win-win situation within the supply chain. For this study, a centralized supply chain model was established without considering the retailers’ overconfidence and fairness concern. Furthermore, the retailers’ overconfidence and fairness concerns were introduced into the decentralized supply chain, while the Stackelberg game model between the manufacturer and the retailer was built. Furthermore, an innovative supply chain contract, i.e., buyback contract, with promotional cost sharing was designed to achieve supply chain coordination along with overconfidence and fairness concern. Finally, a numerical analysis was also conducted to analyze the effect of overconfidence, fairness concern, and the validity of the contract. The principal findings of the study include the positive correlation between retailers’ overconfidence and optimal order quantity, sales effort, expected utility, and profit. Although the order quantity and sales efforts were not affected by the fairness concern of the retailer, the contract achieved coordination with a win-win outcome when the level of overconfidence and fairness concern was moderate.

scholarly journals The Complex Dynamics of Sharing Platform Competition Game

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Jianli Xiao
Keyword(s):  
Feedback Control ◽  
Rapid Development ◽  
Stable State ◽  
Sharing Economy ◽  
System Stability ◽  
Largest Lyapunov Exponent ◽  
Platform Competition ◽  
Chaotic State ◽  
Price Increases ◽  
Adjustment Speed

With the rapid development of Internet technologies and online sharing platforms, sharing economy has become a major trend in economy. The entry of sharing economy leads to profound impacts on incumbent industry. We build a dynamic sharing platform competition model with which agents are bounded rational, and consumer side is heterogeneous. Then, we present the fixed points and the stability conditions of the bifurcation of the dynamic model. We simulate the adjustment speed of sharing platform, sharing platform price, and costs of traditional firm effects on system stability, and we present stable area, bifurcation diagram, the largest Lyapunov exponent, and strange attractor of different parameters, and we give a feedback control method at last. Our main results are as follows: (1) when adjustment speed of sharing platform increases, the system becomes bifurcation, and finally, the system goes into a chaotic state; when the system is stable, price of traditional firm and fee decision of sharing platform are constant. (2) When price of sharing platform increases, sharing platform is more stable while traditional firm is more vulnerable. Suppose the system is in the stable state; when sharing platform price increases, traditional firm price increases, while sharing platform fees decreases. (3) When traditional firm cost is small, the system would be more stable. When the system is stable, with traditional firm cost increasing, traditional firm price increases quicker than sharing platform consumer fee, while sharing platform seller fee decreases. (4) Feedback control can alleviate the chaotic state of system. With feedback control parameter increases, the system becomes more stable.

scholarly journals Research on the supply chain model based on the differentiation of green agricultural products

2018 ◽  
Vol 232 ◽  
pp. 02012
Author(s):  
Hui Su ◽  
Yuquan Cui ◽  
Bingjie Liu
Keyword(s):  
Supply Chain ◽  
Utility Function ◽  
Stackelberg Game ◽  
Supply Chain Coordination ◽  
Wholesale Price ◽  
Agricultural Products ◽  
Coordination Mechanism ◽  
Optimal Decision ◽  
Quality Level ◽  
Chain Model

This paper studies the supply chain of green agricultural products with "agricultural super docking" mode based on the different management. The "agricultural super docking" mode is a direct connection between supermarkets and farmers (or cooperatives), what the supermarket needs and what the farmers produce. The green degree is used to indicate the quality level of health, safety and nutrition of agricultural products. The greater the green degree is, the better the quality of agricultural products is. In order to meet the needs of all consumers, the supermarket decide to carry out different management. That is to say, supermarket sells ordinary agricultural products and green agricultural products at the same time. This paper gives the consumer utility function for ordinary agricultural products and green agricultural products separately. We analyze the consumers’ choice behaviors based on the consumer utility function .We discuss the optimal decision of supermarket choosing one farmer and supermarket choosing two farmers based on Stackelberg game. It can be seen from the comparison that supermarket can get more profits when it chooses two farmer to order separately. Finally, a "wholesale price + ordering subsidy" coordination mechanism is proposed to realize supply chain coordination. .

Coordinating of multi-echelon supply chains through the generalized (R, S) policy

SIMULATION ◽  
2020 ◽  
Vol 96 (9) ◽  
pp. 767-778 ◽  
Author(s):  
Ahmed Shaban ◽  
Francesco Costantino ◽  
Giulio Di Gravio ◽  
Massimo Tronci
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Information Sharing ◽  
Negative Impact ◽  
Bullwhip Effect ◽  
Coordination Mechanism ◽  
Chain Model ◽  
Demand Forecast ◽  
Modeling Methodology ◽  
Information Demand

Numerous studies have confirmed the negative impact of the lack of coordination on supply chain performance. In particular, the lack of coordination leads to the bullwhip effect, which has severe impacts on supply chain stability. This paper evaluates a proposed coordination mechanism that allows a decentralized information sharing in multi-echelon supply chains. The proposed mechanism “Info-Smooth” utilizes the ordering rule of the generalized (R, S) policy in which a replenishment order can be transferred to upstream echelons including two pieces of information (demand forecast and inventory balance). As the generalized (R, S) can allow order smoothing, Info-Smooth combines the power of both information sharing and order smoothing. A simulation modeling methodology is employed to investigate the effectiveness of Info-Smooth in a multi-echelon supply chain. The factorial design results have shown that Info-Smooth is successful in mitigating the bullwhip effect whilst keeping acceptable inventory stability, compared to the traditional supply chain model.

scholarly journals Research on the Evolutionary Game of Construction and Demolition Waste (CDW) Recycling Units’ Green Behavior, Considering Remanufacturing Capability

2021 ◽  
Vol 18 (17) ◽  
pp. 9268
Author(s):  
Xingwei Li ◽  
Ruonan Huang ◽  
Jiachi Dai ◽  
Jingru Li ◽  
Qiong Shen
Keyword(s):  
Supply Chain ◽  
Negative Impact ◽  
Evolutionary Game ◽  
Stable State ◽  
Construction And Demolition Waste ◽  
Demolition Waste ◽  
Construction Waste ◽  
Positive Effects ◽  
Effective Development ◽  
The Impact

At present, China has not yet formed an effective development model for the industrialization of construction waste. The level of construction waste treatment and resource utilization is still low, and recycled products also lack market competitiveness. In order to promote the effective development of the remanufactured construction and demolition waste supply chain better, and based on the present situation, this manuscript establishes a game model for recycling units in two different situations: with and without remanufacturing capabilities. However, most existing studies have determined that all recycling units have remanufacturing capabilities. In the first situation, the main players of the game are recycling units with remanufacturing capabilities and consumers. In the second situation, the main players of the game are recycling units without remanufacturing capabilities and the third-party remanufacturer with remanufacturing ability. Therefore, our research can ascertain the optimal strategy choices of both parties in the game under different return situations and discuss the impact of changes to related parameters through numerical simulations. The results show: (1) When the recycling unit has remanufacturing capabilities, corporate leadership and government supervision rate have positive effects on its evolution to strict manufacturing. Only a high supervision rate can effectively suppress the negative impact of speculative gains and drive the system to (strict manufacturing; positive). Furthermore, the higher the supervision rate, the faster the system will converge. Then, the consumer’s payment difference coefficient has a negative effect on the evolution of the recycling unit to strict manufacturing. The larger the payment difference coefficient, the faster the system will converge to a stable state (tendency to formal manufacturing; negative). (2) When the recycling unit does not have the ability to remanufacture, the government cost subsidy rate and the recycling unit’s effort profit coefficient have positive effects on the recycling unit’s evolution to the direction of effort. Meanwhile, the larger the profit coefficient of the recovery unit’s effort, the faster the system will converge. The conclusions obtained provide certain theoretical guidance for the decision making of CDW recycling supply chain recovery units and relevant government departments.

scholarly journals A multi-objective optimal decision model for a green closed-loop supply chain under uncertainty: A real industrial case study

2021 ◽  
Vol 16 (2) ◽  
pp. 161-172
Author(s):  
I.W. Fang ◽  
W.-T. Lin
Keyword(s):  
Supply Chain ◽  
Closed Loop ◽  
Resource Scarcity ◽  
Mixed Integer ◽  
Optimal Decision ◽  
Quality Level ◽  
Chain Model ◽  
Closed Loop Supply Chain ◽  
Multi Objective ◽  
Proposed Model

Green closed-loop supply chain management is an important topic for business operations today because of increasing resource scarcity and environmental issues. Companies not only have to meet environmental regulations, but also must ensure high quality supply chain operation as a means to secure competitive advantages and increase profits. This study proposes a multi-objective mixed integer programming model for an integrated green closed-loop supply chain network designed to maximize profit, amicable production level (environmentally friendly materials and clean technology usage), and quality level. A scenario-based robust optimization method is used to deal with uncertain parameters such as the demand of new products, the return rates of returned products and the sale prices of remanufactured products. The proposed model is applied to a real industry case example of a manufacturing company to illustrate the applicability of the proposed model. The result shows a robust optimal resource allocation solution that considers multiple scenarios. This study can be a reference for closed-loop supply chain related academic research and also can be used to guide the development of a green closed-loop supply chain model for better decision making.

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