Demartini, Melissa and Bertani, Filippo and Tonelli, Flavio and Raberto, Marco and Cincotti, Silvano (2021): An investigation into modelling approaches for industrial symbiosis: a literature review.
Preview |
PDF
MPRA_paper_107448.pdf Download (689kB) | Preview |
Abstract
The aim of this paper is to understand how to model industrial symbiosis networks in order to favour its implementation and provide a framework to guide companies and policy makers towards it. Industrial symbiosis is a clear example of complex adaptive systems and traditional approaches (i.e., Input/Output analysis, Material flow analysis) are not capable to capture these dynamics behaviours. Therefore, the aim of this literature review is to investigate: i) the most used modelling and simulation approaches to analyse industrial symbiosis and ii) their characteristics in terms of simulation methods, interaction mechanisms and simulations software. Findings from our research suggest that a hybrid modelling and simulation approach, based on agent-based and system dynamics, could be an appropriate method for industrial symbiosis analysis and design.
Item Type: | MPRA Paper |
---|---|
Original Title: | An investigation into modelling approaches for industrial symbiosis: a literature review |
English Title: | An investigation into modelling approaches for industrial symbiosis: a literature review |
Language: | English |
Keywords: | industrial symbiosis, hybrid modelling and simulation approach, literature review, system dynamics, agent based modelling |
Subjects: | C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C63 - Computational Techniques ; Simulation Modeling |
Item ID: | 107448 |
Depositing User: | Mr. Filippo Bertani |
Date Deposited: | 30 Apr 2021 14:57 |
Last Modified: | 30 Apr 2021 14:57 |
References: | Abdelghany, M. and Eltawil, A.B., 2017. Linking approaches for multi-methods simulation in healthcare systems planning and management. International Journal of Industrial and Systems Engineering, 26(2), pp.275-290. Abduaziz, O., Cheng, J.K., Tahar, R.M. and Varma, R., 2015. A hybrid simulation model for green logistics assessment in automotive industry. Procedia Engineering, 100, pp.960-969. Afshari, H., Tosarkani, B.M., Jaber, M.Y. and Searcy, C., 2020. The effect of environmental and social value objectives on optimal design in industrial energy symbiosis: A multi-objective approach. Resources, Conservation and Recycling, 158, p.104825. Ahmad, N., Ghani, N.A., Kamil, A.A. and Tahar, R.M., 2014, December. Managing resource capacity using hybrid simulation. In AIP Conference Proceedings (Vol. 1635, No. 1, pp. 504-511). American Institute of Physics. Ahmad, N., Ghani, N.A., Kamil, A.A. and Tahar, R.M., 2015. Modelling the complexity of emergency department operations using hybrid simulation. International Journal of Simulation and Process Modelling, 10(4), pp.360-371. Albino, V. and Fraccascia, L., 2015. The industrial symbiosis approach: A classification of business models. Procedia Environmental Science, Engineering and Management, 2(3), pp.217-223. Albino, V., Fraccascia, L. and Giannoccaro, I., 2016. Exploring the role of contracts to support the emergence of self-organized industrial symbiosis networks: an agent-based simulation study. Journal of Cleaner Production, 112, pp.4353-4366. Aly, E.A. and Managi, S., 2018. Energy infrastructure and their impacts on societies’ capital assets: A hybrid simulation approach to inclusive wealth. Energy Policy, 121, pp.1-12. Bacudio, L.R., Benjamin, M.F.D., Eusebio, R.C.P., Holaysan, S.A.K., Promentilla, M.A.B., Yu, K.D.S. and Aviso, K.B., 2016. Analyzing barriers to implementing industrial symbiosis networks using DEMATEL. Sustainable Production and Consumption, 7, pp.57-65. Bell, D., Cordeaux, C., Stephenson, T., Dawe, H., Lacey, P. and O'Leary, L., 2016, December. Designing effective hybridization for whole system modeling and simulation in healthcare. In 2016 Winter Simulation Conference (WSC) (pp. 1511-1522). IEEE. Chertow, M. and Ehrenfeld, J., 2012. Organizing self‐organizing systems: Toward a theory of industrial symbiosis. Journal of industrial ecology, 16(1), pp.13-27. Chertow, M.R., 1998. Waste, industrial ecology, and sustainability. Social Research, pp.31-53. Chertow, M.R., 2000. Industrial symbiosis: literature and taxonomy. Annual review of energy and the environment, 25(1), pp.313-337. Demartini, M., Bertani, F. and Tonelli, F., 2018, June. AB-SD hybrid modelling approach: A framework for evaluating industrial sustainability scenarios. In International Workshop on Service Orientation in Holonic and Multi-Agent Manufacturing (pp. 222-232). Springer, Cham. Demartini, M., Tonelli, F. and Bertani, F., 2018. Approaching industrial symbiosis through agent-based modeling and system dynamics. In Service orientation in holonic and multi-agent manufacturing (pp. 171-185). Springer, Cham. Doluweera, G., Hahn, F., Bergerson, J. and Pruckner, M., 2020. A scenario-based study on the impacts of electric vehicles on energy consumption and sustainability in Alberta. Applied Energy, 268, p.114961. Dong, L., Liang, H., Zhang, L., Liu, Z., Gao, Z. and Hu, M., 2017. Highlighting regional eco-industrial development: Life cycle benefits of an urban industrial symbiosis and implications in China. Ecological Modelling, 361, pp.164-176. Dong, L., Zhang, H., Fujita, T., Ohnishi, S., Li, H., Fujii, M. and Dong, H., 2013. Environmental and economic gains of industrial symbiosis for Chinese iron/steel industry: Kawasaki's experience and practice in Liuzhou and Jinan. Journal of Cleaner Production, 59, pp.226-238. Elia, V., Gnoni, M.G. and Tornese, F., 2016. Assessing the efficiency of a PSS solution for waste collection: a simulation based approach. Procedia Cirp, 47, pp.252-257. Elia, V., Gnoni, M.G. and Tornese, F., 2017. Measuring circular economy strategies through index methods: A critical analysis. Journal of Cleaner Production, 142, pp.2741-2751. Elkington, J., 1998. Partnerships from cannibals with forks: The triple bottom line of 21st‐century business. Environmental quality management, 8(1), pp.37-51. Fakhimi, M., Stergioulas, L.K. and Mustafee, N., 2015, December. An investigation of hybrid simulation for modeling sustainability in healthcare. In 2015 Winter Simulation Conference (WSC) (pp. 1585-1596). IEEE. Farsi, M., Erkoyuncu, J.A., Steenstra, D. and Roy, R., 2019. A modular hybrid simulation framework for complex manufacturing system design. Simulation Modelling Practice and Theory, 94, pp.14-30. Finnveden, G., Hauschild, M.Z., Ekvall, T., Guinée, J., Heijungs, R., Hellweg, S., Koehler, A., Pennington, D. and Suh, S., 2009. Recent developments in life cycle assessment. Journal of environmental management, 91(1), pp.1-21. Formentini, M. and Taticchi, P., 2016. Corporate sustainability approaches and governance mechanisms in sustainable supply chain management. Journal of cleaner production, 112, pp.1920-1933. Fraccascia, L., Albino, V. and Garavelli, C.A., 2017. Technical efficiency measures of industrial symbiosis networks using enterprise input-output analysis. International Journal of Production Economics, 183, pp.273-286. Fraccascia, L., Giannoccaro, I. and Albino, V., 2017. Rethinking resilience in industrial symbiosis: conceptualization and measurements. Ecological Economics, 137, pp.148-162. Fraccascia, L., Giannoccaro, I. and Albino, V., 2017. Rethinking resilience in industrial symbiosis: conceptualization and measurements. Ecological Economics, 137, pp.148-162. Fraccascia, L., Yazan, D.M., Albino, V. and Zijm, H., 2020. The role of redundancy in industrial symbiotic business development: A theoretical framework explored by agent-based simulation. International journal of production economics, 221, p.107471. Ghali, M.R., Frayret, J.M. and Ahabchane, C., 2017. Agent-based model of self-organized industrial symbiosis. Journal of cleaner production, 161, pp.452-465. Golroudbary, S.R., Zahraee, S.M., Awan, U. and Kraslawski, A., 2019. Sustainable operations management in logistics using simulations and modelling: A framework for decision making in delivery management. Procedia Manufacturing, 30, pp.627-634. Golroudbary, S.R., Zahraee, S.M., Awan, U. and Kraslawski, A., 2019. Sustainable operations management in logistics using simulations and modelling: A framework for decision making in delivery management. Procedia Manufacturing, 30, pp.627-634. Govindan, K. and Hasanagic, M., 2018. A systematic review on drivers, barriers, and practices towards circular economy: a supply chain perspective. International Journal of Production Research, 56(1-2), pp.278-311. Gu, Y. and Kunc, M., 2019. Using hybrid modelling to simulate and analyse strategies. Journal of Modelling in Management. Karlsson, M. and Wolf, A., 2008. Using an optimization model to evaluate the economic benefits of industrial symbiosis in the forest industry. Journal of Cleaner Production, 16(14), pp.1536-1544. Landa, P., Sonnessa, M., Resta, M., Tànfani, E. and Testi, A., 2018. A Hybrid Simulation Approach to Analyse Patient Boarding in Emergency. Health Care Systems Engineering: HCSE, Florence, Italy, May 2017, 210, p.133. Li, H., Dong, L. and Ren, J., 2015. Industrial symbiosis as a countermeasure for resource dependent city: a case study of Guiyang, China. Journal of Cleaner Production, 107, pp.252-266. Mantese, G.C. and Amaral, D.C., 2018. Agent-based simulation to evaluate and categorize industrial symbiosis indicators. Journal of Cleaner Production, 186, pp.450-464. Mielczarek, B. and Zabawa, J., 2016, July. Modelling Population Dynamics Using a Hybrid Simulation Approach: Application to Healthcare. In International Conference on Simulation and Modeling Methodologies, Technologies and Applications (pp. 241-260). Springer, Cham. Mielczarek, B., 2019, December. Combining simulation techniques to understand demographic dynamics and forecast hospital demands. In 2019 Winter Simulation Conference (WSC) (pp. 1114-1125). IEEE. Mittal, A. and Krejci, C.C., 2015, December. A hybrid simulation model of inbound logistics operations in regional food supply systems. In 2015 Winter Simulation Conference (WSC) (pp. 1549-1560). IEEE. Mittal, A. and Krejci, C.C., 2019. A hybrid simulation modeling framework for regional food hubs. Journal of Simulation, 13(1), pp.28-43. Mohammed, F., Biswas, W.K., Yao, H. and Tadé, M., 2016. Identification of an environmentally friendly symbiotic process for the reuse of industrial byproduct–an LCA perspective. Journal of cleaner production, 112, pp.3376-3387. Muravev, D., Hu, H., Rakhmangulov, A. and Mishkurov, P., 2021. Multi-agent optimization of the intermodal terminal main parameters by using AnyLogic simulation platform: Case study on the Ningbo-Zhoushan Port. International Journal of Information Management, 57, p.102133. Norbert, R., Kim, J. and Griffay, G., 2020. A system dynamics framework for the assessment of resource and energy efficiency in iron and steel plants. Journal of Cleaner Production, 276, p.123663. Oleghe, O., 2019. System dynamics analysis of supply chain financial management during capacity expansion. Journal of Modelling in Management. Rabelo, L., Sarmiento, A.T., Helal, M. and Jones, A., 2015. Supply chain and hybrid simulation in the hierarchical enterprise. International Journal of Computer Integrated Manufacturing, 28(5), pp.488-500. Rabelo, L., Sarmiento, A.T., Helal, M. and Jones, A., 2015. Supply chain and hybrid simulation in the hierarchical enterprise. International Journal of Computer Integrated Manufacturing, 28(5), pp.488-500. Rahmandad, H. and Sterman, J., 2008. Heterogeneity and network structure in the dynamics of diffusion: Comparing agent-based and differential equation models. Management Science, 54(5), pp.998-1014. Romero, E. and Ruiz, M.C., 2014. Proposal of an agent-based analytical model to convert industrial areas in industrial eco-systems. Science of the Total Environment, 468, pp.394-405. Rondini, A., Tornese, F., Gnoni, M.G., Pezzotta, G. and Pinto, R., 2017. Hybrid simulation modelling as a supporting tool for sustainable product service systems: a critical analysis. International Journal of Production Research, 55(23), pp.6932-6945. Schaltegger, S., Burritt, R., Beske, P. and Seuring, S., 2014. Putting sustainability into supply chain management. Supply Chain Management: an international journal. Sigurðardóttir, S., Johansson, B., Margeirsson, S. and Viðarsson, J.R., 2014. Assessing the impact of policy changes in the icelandic cod fishery using a hybrid simulation model. The Scientific World Journal, 2014. Sitepu, M.H., McKay, A. and Holt, R.J., 2016. Towards a framework for sustainable development planning in the Indonesian natural rubber industry supply network. Procedia CIRP, 48, pp.164-169. Szyrmer, J. and Ulanowicz, R.E., 1987. Total flows in ecosystems. Ecological Modelling, 35(1-2), pp.123-136. Tonelli, F., Evans, S. and Taticchi, P., 2013. Industrial sustainability: challenges, perspectives, actions. International Journal of Business Innovation and Research, 7(2), pp.143-163. van Baal, P.A., 2020. Effectiveness of a strategic energy reserve during the energy transition: The case of Switzerland. Competition |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/107448 |