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Towards circular economy implementation in manufacturing systems using a multimethod simulation approach to link design and business strategy
KTH, Skolan för industriell teknik och management (ITM), Industriell produktion. (Manufacturing and Metrology Systems)ORCID-id: 0000-0002-5826-8670
KTH, Skolan för industriell teknik och management (ITM), Industriell produktion. (Manufacturing and Metrology Systems)ORCID-id: 0000-0002-6590-7514
KTH, Skolan för industriell teknik och management (ITM), Industriell produktion. (Manufacturing and Metrology Systems)ORCID-id: 0000-0002-5960-2159
Gorenje d.d.. (R&D Competence Centre Laundry Care)
Vise andre og tillknytning
2017 (engelsk)Inngår i: The International Journal of Advanced Manufacturing Technology, ISSN 0268-3768, E-ISSN 1433-3015, Vol. 93, nr 5-8, s. 1953-1970Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The recent circular economy movement has raised awareness and interest about untapped environmental and economic potential in the manufacturing industry. One of the crucial aspects in the implementation of circular or closed-loop manufacturing approach is the design of circular products. While it is obvious that three post-use strategies, i.e., reuse, remanufacturing, and recycling, are highly relevant to achieve loop closure, it is enormously challenging to choose “the right” strategy (if at all) during the early design stage and especially at the single component level. One reason is that economic and environmental impacts of adapting these strategies are not explicit as they vary depending on the chosen business model and associated supply chains. In this scenario, decision support is essential to motivate adaptation of regenerative design strategies. The main purpose of this paper is to provide reliable decision support at the intersection of multiple lifecycle design and business models in the circular economy context to identify effects on cost and CO2 emissions. The development of this work consists of a systematic method to quantify design effort for different circular design options through a multi-method simulation approach. The simulation model combines an agent-based product architecture and a discrete event closed-loop supply chain model. Feasibility of the model is tested using a case of a washing machine provided by Gorenje d.d. Firstly, design efforts for reuse, remanufacturing, and recycling are quantified. Secondly, cost and emissions of different design options are explored with different business model configurations. Finally, an optimization experiment is run to identify the most cost-effective combination of reused, remanufactured, and recycled components for a business model chosen on the basis of the explorative study results.

sted, utgiver, år, opplag, sider
Springer, 2017. Vol. 93, nr 5-8, s. 1953-1970
Emneord [en]
Business model Circular economy, Closed-loop manufacturing system, End-of-life design strategy, Multi-method simulation, Supply chain
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-212058DOI: 10.1007/s00170-017-0610-9ISI: 000412953600038Scopus ID: 2-s2.0-85021198542OAI: oai:DiVA.org:kth-212058DiVA, id: diva2:1133432
Merknad

QC 20170816

Tilgjengelig fra: 2017-08-15 Laget: 2017-08-15 Sist oppdatert: 2017-11-02bibliografisk kontrollert
Inngår i avhandling
1. From resource efficiency to resource conservation: Studies, developments and recommendations for industrial implementation of circular manufacturing systems
Åpne denne publikasjonen i ny fane eller vindu >>From resource efficiency to resource conservation: Studies, developments and recommendations for industrial implementation of circular manufacturing systems
2017 (engelsk)Doktoravhandling, med artikler (Annet vitenskapelig)
Abstract [en]

Manufacturing industry is under permanent pressure to maintain its economic growth and profitability as strong societal backbone. At the same time pressures of waste generation and resource consumption are increasing as result of manufacturing operations. Since manufacturing industry is one of the major consumers of natural resources it is therefore essential to reduce dependency on natural resources by decoupling economic growth from consumption. Resource efficiency approaches can improve the performance of production systems by reducing resource losses. However, the fundamental assumption at the basis of resource efficiency approaches is that resources are available infinitely. As a consequence, challenges of sustainability and resource scarcity remain inadequately addressed. The objective of this research is to develop analysis methods and decision support tools for manufacturing industry to facilitate its transition from linear production systems to circular manufacturing systems, which are economically viable and environmentally sustainable. The initial scope of study focuses on industrial resource efficiency assessment in production systems. Expanding the view to a manufacturing system perspective, the current research is explored with regard to circular manufacturing systems in the context of economic benefits, resource scarcity and waste generation. Systematic analysis methods and decision support tools are developed for industrial companies to facilitate the adaption of circular manufacturing systems. These developments are supported by industrial case studies. The analysis methods are to the largest extent based on agent-based simulation approaches. The tools are capable of assessing the economic and environmental impact of different business models, design strategies as well as supply chains settings. Moreover, the tools are able to determine whether introductions of new (circular) business models will be adopted by customers. One empirical market study is performed to investigate value propositions of a circular business approaches based on customer decisions.

sted, utgiver, år, opplag, sider
Stockholm: KTH Royal Institute of Technology, 2017. s. 97
Serie
TRITA-IIP, ISSN 1650-1888 ; 17-08
Emneord
Circular economy, Circular manufacturing systems, Resource conservative manufacturing, ResCoM, Agent-based modelling, Multi-method modelling
HSV kategori
Forskningsprogram
Industriell produktion
Identifikatorer
urn:nbn:se:kth:diva-212923 (URN)978-91-7729-489-4 (ISBN)
Disputas
2017-09-22, F3, Lindstedtsvägen 26, Stockholm, 10:00 (engelsk)
Opponent
Veileder
Forskningsfinansiär
EU, FP7, Seventh Framework Programme
Merknad

QC 20170825

Tilgjengelig fra: 2017-08-25 Laget: 2017-08-24 Sist oppdatert: 2017-08-31bibliografisk kontrollert

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