Assessing the consequences of second-generation bioenergy crops for grain/livestock farming on the Canadian prairies: An agent-based simulation

Anderson, Leigh C.; Schoney, Richard A.; Nolan, James

doi:10.1080/17477778.2021.1970487

Cited by 5 publications

(1 citation statement)

References 16 publications

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“…Their study found that the existing economic situation and crop price were the most significant factors for famers' decision-making process. Similarly, Anderson et al [71] utilized ABS for modeling farmers' behaviors and estimating consequence of secondgeneration biofuels using marginal (low-quality) land in Western Canada. Their study found that marginal land with energy crops enables us to improve the income of farmers.…”

Section: Agent-based Simulationmentioning

confidence: 99%

Simulation Modeling in Supply Chain Management Research of Ethanol: A Review

Kim,

Choi,

Kim

2023

Energies

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Ethanol, a common renewable energy resource, can reduce greenhouse gas (GHG) emissions to resolve the problem of global warming worldwide. Various feedstocks such as corn, sugarcane, maize stover, and wheat straw can be utilized for ethanol production. They determine production operations and relevant costs. Although there are monetary incentives and government policies in different countries to increase ethanal use, it is still challenging to make its sales price competitive due to the inefficient supply chain of ethanol. Unlike fossil fuels such as coal, oil, and natural gas using a well-designed supply chain in the long history of mankind, additional efforts are needed to organize and stabilize the supply chain of ethanol efficiently. The goal of this study is to investigate how simulation modeling techniques can be applied to various supply chain management issues of ethanol. Particularly, application cases of three major simulation paradigms such as discrete-event simulation, system dynamics, and agent-based simulation are investigated by conducting a scientific literature review. The findings of this study will contribute to the expansion of simulation use in the field of biofuel supply chain management.

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Section: Agent-based Simulationmentioning

confidence: 99%