Abstract
The purpose of this study was to develop an agent-based model including both supply chain and resource management in order to investigate the effects of changing business rules and policy. In this paper, the basic model is suggested and the results from the simulation is provided. Two patterns were obtained from the simulations of the basic model. In the first pattern, resources are depleted rapidly and the economy is not sustained. In the second pattern, the resource reached a sustainable level, but society was not economically sustained. In both patterns, product waste occurred in the store, although at different levels. From these results, it is apparent that the basic model can accurately reproduce the situation in which a trade-off between the environment and the economy occurs. In this paper, two applications were discussed: scenario analysis and gaming simulation. Scenario analyses can be designed to illustrate some of the issues concerning food loss and waste in the supply chain and the relationship with waste and natural resource management. Gaming simulations can be designed for consumer education and business gaming using hybrid simulation.
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Acknowledgements
The author wishes to acknowledge the financial supports of a Japan Society for the Promotion of Science (JSPS) KAKENHI Grant-in-Aid for Scientific Research (C) (Grant Number 18K11764).
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Zaima, K. (2021). Agent-Based Simulation for Sustainable Management of Supply Chain and Natural Resources: Basic Model. In: Wardaszko, M., Meijer, S., Lukosch, H., Kanegae, H., Kriz, W.C., Grzybowska-Brzezińska, M. (eds) Simulation Gaming Through Times and Disciplines. ISAGA 2019. Lecture Notes in Computer Science(), vol 11988. Springer, Cham. https://doi.org/10.1007/978-3-030-72132-9_36
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