Simulation Modeling for Sustainability: A Review of the Literature

This article is a review of work published in various journals and conference proceedings on the topics of Simulation Modelling for Sustainability between January 2000 and May 2015. A total of 192 papers are reviewed. The article intends to serve three goals. First, it will be useful to researchers who wish to know what kinds of questions have been raised and how they have been addressed in the areas of simulation modelling for sustainability. Second, the article will be a useful resource for searching research topics. Third, it will serve as a comprehensive bibliography of the papers published during the period. The literature is analysed for application areas, simulation methods and dimensions of the triple bottom line model of sustainable development

Key performance indicators for sustainable manufacturing evaluation in automotive companies

The automotive industry is regarded as one of the most important and strategic industry in manufacturing sector. It is the largest manufacturing enterprise in the world and one of the most resource intensive industries of all major industrial system. However, its products and processes are a significant source of environmental impact. Thus, there is a need to evaluate sustainable manufacturing performance in this industry. This paper proposes a set of initial key performance indicators (KPIs) for sustainable manufacturing evaluation believed to be appropriate to automotive companies, consisting of three factors divided into nine dimensions and a total of 41 sub-dimensions. A survey will be conducted to confirm the adaptability of the initial KPIs with the industry practices. Future research will focus on developing an evaluation tool to assess sustainable manufacturing performance in automotive companies

A systematic review of agent-based modelling in the circular economy: Insights towards a general model

Circular Economy (CE) is a popular topic for governments and businesses around the world; yet, only a few comprehensive and economy-wide frameworks exist, and the consequences of the CE on economic systems stay unclear. With this systematic review, we put under scrutiny the existing contributions to Circular Economy (CE) that apply the Agent-based modelling methodology. There is an open gap in the CE literature regarding the use of ABM. The research question that guides this systematic review concerns the potential benefit of ABM for CE and how to use this methodology in the context of CE. We put in evidence three thematic areas, two agents and one process, namely producers, i.e. firms and industrial systems, consumers, i.e. households and waste disposal, and the diffusion of innovation. We infer that the former three thematic strands of literature can be further synthetized together to form a general model of the Circular Economy. This development is crucial to properly evaluate how the agent's heterogeneity affects the diffusion and the consequences of the adoption of CE practices on the economy. Research has widely applied ABM simulations to consider the impact of heterogeneity amongst individuals and their behavioural interactions on the evolution of complex systems, yet very little did it systematically about CE. Our results complement those of Computable General Equilibrium models. The review provides an interpretative framework, suggests valuable future research directions within the new comprehensive thematic area, and contributes to the theoretical and managerial discussion on agent-based modelling in the circular economy