How model-based systems analysis can be improved for waste management planning
2003 (English)In: Waste Management & Research, ISSN 0734-242X, E-ISSN 1096-3669, Vol. 21, no 6, p. 488-500Article in journal (Refereed) Published
Abstract [en]
Waste management models have been developed worldwide since the late 1960s. The overall aim of the models is to assist decision makers who are facing a complex task in order to handle waste in a cost-efficient and environmentally sound way. International research publications regarding waste management models point out the major benefits to be their capacity to deal with complexity and uncertainty and of finding benefits of co-operation and handling different goals. Such models have been developed and used successfully in Swedish research projects since the beginning of the 1990s, but the current situation is that such models are rarely requested for waste management planning in the country. Based on case studies (with the waste management models MIMES/Waste and ORWARE) in the Swedish municipality of Jönköping and a follow-up study, the paper discusses and draws conclusions on how to improve and increase the use of models to better correspond to the needs of decision makers involved in waste management planning.
Place, publisher, year, edition, pages
2003. Vol. 21, no 6, p. 488-500
Keywords [en]
Decision-making, MIMES/Waste, Models, ORWARE, Systems analysis, Waste management, Wmr 656-1, Cost effectiveness, Decision making, Environmental impact, Strategic planning, Waste management planning, modeling, waste disposal, article, computer model, cost effectiveness analysis, financial management, government, organization and management, planning, priority journal, publication, Sweden, Developing Countries, Environment, International Cooperation, Models, Theoretical, Refuse Disposal, Research, Eurasia, Europe, Jonkoping [Jonkoping (CNT)], Jonkoping [Sweden], Northern Europe, Scandinavia
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:hig:diva-25685ISI: 000188551000002PubMedID: 14986711Scopus ID: 2-s2.0-0742289051OAI: oai:DiVA.org:hig-25685DiVA, id: diva2:1161163
2017-11-292017-11-292020-01-29Bibliographically approved