scholarly journals Coordination strategy for a dual-channel electricity supply chain with sustainability

2021 ◽  
Vol 0 (0) ◽  
pp. 0
Author(s):  
Wei Chen ◽  
Fuying Jing ◽  
Li Zhong

<p style='text-indent:20px;'>This paper describes the construction of a dual-channel electricity supply chain, with an electricity generation enterprise as the leader and an electricity retail enterprise as the follower, examining sustainability and price decision-making, and formulates a coordination contract to improve electricity supply chain performance. The main results are as follows. Firstly, sensitivity to electricity sustainability contributes to increased electricity sustainability, electricity price, electricity demand, and supply chain enterprises' profits. Secondly, a centralized model is conducive to investment in more sustainable energy production. Finally, electricity supply chain system coordination can be realized by combining revenue-sharing and cost-sharing in a fixed compensation contract.</p>

2015 ◽  
Vol 2015 ◽  
pp. 1-9
Author(s):  
Hongjun Peng ◽  
Meihua Zhou ◽  
Fudong Wang

Using game models, we study multiperiod coordination contract and model of coal-electricity supply chain under the condition of double price regulations to alleviate the price conflicts of coal and electricity enterprises. The study reveals that, in boom seasons of coal demand, the multiperiod coordination mechanism may not only reduce the price of thermal coal but also increase the fulfillment rate of thermal coal. Meanwhile, the ordering quantity of thermal coal is increased and the shortage probability of electricity supply is decreased. Thereby, the conflicts between coal and electricity are also alleviated effectively.


2021 ◽  
Author(s):  
Angel Xin Yee Mah ◽  
Wai Shin Ho ◽  
Mimi H. Hassim ◽  
Haslenda Hashim ◽  
Zarina Ab Muis ◽  
...  

Abstract Hydrogen is a potential energy carrier for renewables that has a clean emission during the point of use. To implement hydrogen energy system in large-scale, a comprehensive hydrogen supply network should be built to supply the hydrogen with optimal infrastructure arrangement. Although the optimization of hydrogen supply chain has been extensively studied, the investigation of an integrated hydrogen-electricity supply chain is still lacking. Considering the interconvertibility of hydrogen and electricity, this study presents a spatial optimization framework that integrates geographical information system with mathematical modelling for the design and optimization of a photovoltaic-based hydrogen-electricity supply chain. The proposed framework allows the concurrent targeting of vehicle fuel and electricity demands as well as the identification of suitable locations for supply chain infrastructures. Case study results showed that the minimum cost of hydrogen-electricity supply chain is about 14.9 billion USD/y assuming two days of autonomy, and the cost of battery constitutes 43% of the total supply chain cost. When the days of autonomy is 8 and above, electricity storage in the form of hydrogen and reconversion through fuel cell is preferred.


2019 ◽  
Vol 11 (17) ◽  
pp. 4646 ◽  
Author(s):  
Zhang ◽  
Zhang ◽  
Pu ◽  
Li

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.


2020 ◽  
Vol 12 (6) ◽  
pp. 2296 ◽  
Author(s):  
Zhou Xideng ◽  
Xu Bing ◽  
Xie Fei ◽  
Li Yu

Although supply quality management has been studied extensively, one important marketing phenomenon, that is, reference effect has been rarely considered in dual-channel supply chain quality management literatures. In fact, the quality reference effect is also an important factor which influences consumer purchasing behavior. We aim to explore the influence of the reference effect on the optimal decisions and performance of a dual-channel supply. Thus, we formulate dynamic models that include the product quality reference effect and the service quality reference effect in a dual-channel supply chain system consisting of a manufacturer and a retailer under the different decision-making scenarios. Utilizing differential game theory, optimal decisions are obtained for the product quality and service quality decision under the different decision-making scenarios. In addition, the optimal decisions and profits are compared, then a service cost-sharing coordinating mechanism is proposed and proven to be effective in the supply chain system. The main results show when the initial reference service quality is low, the consumer service quality reference effect is beneficial to the manufacturer. The spillover effect of service quality is not conducive to the retailer and the manufacturer. When the initial reference product quality is low, both online and offline product quality reference effects are beneficial to the retailer and the manufacturer. The stable (or final) reference quality will not be affected by the initial reference quality. The sum of the two members’ profits under decentralized decision making is less than the total profit of the supply chain under centralized decision making. We design a cost-sharing coordinating mechanism to eliminate the double marginal effect.


Author(s):  
Di Wu ◽  
Juhong Chen ◽  
Ruyu Yan ◽  
Ruijun Zhang

The fierce competition in the recycling industry and the rapid development of internet technology has prompted recycling centers to develop a dual-channel reverse supply chain with both offline and online recycling channels. After the introduction of online channels, recycling centers and third-party recyclers (TPR) have paid attention to the division of profits in supply chain systems and the behavior of fairness concerns. Therefore, it is necessary to help recycling enterprises make pricing decisions in consideration of fairness concerns. This paper is aimed at answering the following two main questions: (1) When the recycling center or TPR have fairness concerns, how does the optimal pricing and revenue of supply chain members change when both sides are neutral? (2) When the fairness concern coefficient changes, how does the overall revenue of the supply chain system change? How should supply chain members adjust their pricing decisions to maximize their own profits? In order to solve the above problems, Stackelberg game models were made from three aspects: both sides are neutral, only the TPR has fairness concerns, and only the recycling center has fairness concerns. Based on the results of the example analyses for the model, we found that when only the TPR has fairness concerns, the profit of the recycling center and the transfer price of offline channels will decrease, while the profit of TPR is the opposite. Furthermore, when only a recycling center has fairness concerns, it will lead to the reduction of not only the recycling price and transfer price of offline channels, but also the profits of the entire supply chain system. Specially, whether it is for a recycling center or TPR, a lower level of fairness concern coefficient has a stronger impact on pricing and revenue than at high levels.


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