International Journal of Production Research · 2019 · 115 citations · 73 references
EngineeringIndustrial EngineeringSystems EngineeringOperations ResearchAgent-based ModelingAgent-based SimulationComplex Systems ModelingComputational ModelingIndustrial SymbiosisSimulation ModelingIndustrial Symbiosis ImplementationIndustrial Symbiosis NetworksIndustrial Symbiosis SimulationModel NotationProduction System ModelingProduction System SimulationSimulation AnalysisSustainable Operations Performance
Industrial symbiosis (IS) is a key for implementing circular economy. Through IS, wastes produced by one company are used as inputs by other companies. The operations of IS suffers from uncertainty barriers since wastes are not produced upon demand but emerge as secondary outputs. Such an uncertainty, triggered by waste supply-demand quantity mismatch, influences IS business dynamics. Accordingly, companies have difficulty to foresee potential costs and benefits of implementing IS. The paper adopts an enterprise input-output model providing a cost–benefit analysis of IS integrated to an agent-based model to simulate how companies share the total economic benefits stemming from IS. The proposed model allows to explore the space of cooperation, defined as the operationally favourable conditions to operate IS in an economically win-win manner. This approach, as a decision-support tool, allows the user to understand whether the IS relationship is created and how should the cost-sharing policy be. The proposed model is applied to a numerical example. Findings show that cost-sharing strategies are dramatically affected by waste supply-demand mismatch and by the relationship between saved and additional costs to run IS. Apart from methodological and theoretical contributions, the paper proposes managerial and practical implications for business strategy development in IS.
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