Profit allocation in collaborative bioenergy and biofuel supply chains

Gao, Evelyn; Sowlati, Taraneh; Akhtari, Shaghaygh

doi:10.1016/j.energy.2019.116013

Cited by 17 publications

(8 citation statements)

References 85 publications

(83 reference statements)

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“…However, they only considered the marginal contribution of enterprises and did not take into account other potentially influencing factors, such as risk factors and investment factors of the overall profitability of the supply chain system [42]. By considering the potential influencing factors, some studies [43][44][45][46][47][48] investigated the profit allocation among data contributors by the improved Shapley value methods. For example, by considering the key influencing factors, such as risk, input, and effort, Liu et al [45] modified the distribution of benefits based on the contribution.…”

Section: Related Workmentioning

confidence: 99%

“…By considering the potential influencing factors, some studies [43][44][45][46][47][48] investigated the profit allocation among data contributors by the improved Shapley value methods. For example, by considering the key influencing factors, such as risk, input, and effort, Liu et al [45] modified the distribution of benefits based on the contribution.…”

Section: Related Workmentioning

confidence: 99%

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Evolutionary Game Analysis of Co-Opetition Strategy in Energy Big Data Ecosystem under Government Intervention

et al. 2022

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This study discusses how to facilitate the barrier-free circulation of energy big data among multiple entities and how to balance the energy big data ecosystem under government supervision using dynamic game theory. First, we define the related concepts and summarize the recent studies and developments of energy big data. Second, evolutionary game theory is applied to examine the interaction mechanism of complex behaviors between power grid enterprises and third-party enterprises in the energy big data ecosystem, with and without the supervision of government. Finally, a sensitivity analysis is conducted on the main factors affecting co-opetition, such as the initial participation willingness, distribution of benefits, free-riding behavior, government funding, and punitive liquidated damages. The results show that both government supervision measures and the participants’ own will have an impact on the stable evolution of the energy big data ecosystem in the dynamic evolution process, and the effect of parameter changes on the evolution is more significant under the state of no government supervision. In addition, the effectiveness of the developed model in this work is verified by simulated analysis. The present model can provide an important reference for overall planning and efficient operation of the energy big data ecosystem.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Evolutionary Game Analysis of Co-Opetition Strategy in Energy Big Data Ecosystem under Government Intervention

et al. 2022

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“…Economic sustainability means the most important objective of the biofuel supply chain is to produce biofuel in an economically viable manner [6]. e research on economic sustainability includes the following contents: the debate between food and energy [7], the balance between efficiency and energy [8], the budget of the biofuel industry [9], the optimization of supply chain operating costs and profits [10], the evaluation of supply chain present value [11], and the avoidance of investment risks [12]. With the improvement of environmental awareness and the tightening of environmental policies, research on environmental sustainability has attracted more and more attention in the past few decades [13].…”

Section: Sustainability Of Biofuel Supply Chainmentioning

confidence: 99%

“…Constraint (10) ensures that the pretreated waste cooking oil is transported to the biodiesel refinery only when the refinery is selected. At the same time, the capacity limits for the opening of the biodiesel refinery are limited.…”

Section: Objective 1: Economicmentioning

confidence: 99%

Multiobjective Optimization of Sustainable WCO for Biodiesel Supply Chain Network Design

Geng

Sun

2021

Discrete Dynamics in Nature and Society

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Bioenergy is attracting more attention worldwide due to its environmental and economic benefits. The design of a feasible biodiesel supply chain network can effectively improve the production and use of biodiesel and then further promote the development of the biodiesel industry. As an easy recyclable material with high yield, kitchen waste has a good prospect and can solve public health and safety problems. This paper takes the kitchen waste producing biodiesel as the object to design and optimize the biodiesel supply chain in order to improve the sustainable development of biodiesel industry and the operational efficiency of the biodiesel supply chain. By designing a sustainable biodiesel supply chain model under defined conditions, it proposes strategic and tactical decisions related to location, production, inventory, and distribution within multiple planning cycles. In order to effectively solve the model, a Pareto optimal NSGAII heuristic algorithm is proposed and applied to a practical case study of restaurants in Jiangsu Province. The efficiency of the method and the optimal solution are verified by a case study. The overall optimization of biodiesel supply can effectively improve the efficiency of supply chain, reduce system cost, improve the profit of biodiesel operators, and promote the sustainable development of biodiesel industry, which has important guiding significance and reference value for the practice of biodiesel supply chain network planning.

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“…minimization. Social sustainability reflects as the development of the bioenergy industry is likely to create new employment opportunities and bring greater economic vitality in rural areas [30][31][32][33].…”

Section: Sustainability Of Biodiesel Supplymentioning

confidence: 99%

Stochastic Programming of Sustainable Waste Cooking Oil for Biodiesel Supply Chain under Uncertainty

Geng

Sun

2021

Journal of Advanced Transportation

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As an important emission reduction source for the transportation industry, biofuel has received strong support from the Chinese government. However, the development of the biofuel industry is still struggling. The high degree of uncertainty makes the development of the industry face huge challenges. Kitchen waste, as a biodiesel raw material with a large yield, has good development prospects. Reuse of kitchen waste can solve public health and safety problems. This paper proposes a two-stage stochastic programming model under supply disturbance to optimize the supply chain from the perspective of contract. Then current three main flow directions of kitchen waste are analysed and the reasonable price for biodiesel operators to purchase is determined. By signing contracts with the biodiesel operators, restaurant is guaranteed and encouraged to provide a certain percentage of kitchen waste to meet the demand for biodiesel production. Using actual case in the Yangtze River Delta region, the performance of the stochastic programming model under disturbance was compared. Through the sensitivity analysis of different parameters, this paper determines the influence of its supply chain network design and expected total system cost. Through the optimization of the waste cooking oil (WCO) for biodiesel supply chain, this paper can effectively improve the efficiency of the supply chain, reduce system costs, increase the profits of biofuel operators, and promote the sustainable development of the biofuel industry.

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Profit allocation in collaborative bioenergy and biofuel supply chains

Cited by 17 publications

References 85 publications

Evolutionary Game Analysis of Co-Opetition Strategy in Energy Big Data Ecosystem under Government Intervention

Evolutionary Game Analysis of Co-Opetition Strategy in Energy Big Data Ecosystem under Government Intervention

Multiobjective Optimization of Sustainable WCO for Biodiesel Supply Chain Network Design

Stochastic Programming of Sustainable Waste Cooking Oil for Biodiesel Supply Chain under Uncertainty

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