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Evaluating environmental impacts of production process by simulation based life cycle assessment
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och automatiseringsteknik, Production and Automation Engineering)
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0003-3973-3394
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0001-5100-4077
Jönköping University, School of Engineering, Jönköping, Sweden.
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2016 (English)In: Proceedings of the 7th Swedish Production Symposium, 2016Conference paper, Published paper (Refereed)
Abstract [en]

Historically, the manufacturing industry is one of the main contributors to the environmental issues. With conservation of the environment becoming more and more critical for survival, it is of importance for the manufacturing industry to take responsibility for minimizing their productions’ environmental impacts. Life cycle assessment has been widely used in the product’s development phase within the manufacturing industry. However, the environmental impacts that come from various dynamic manufacturing processes are only estimated with large uncertainty. Some studies have suggested that the combination of life cycle assessment and production flow simulation is an appropriate approach to address the environmental impacts from the manufacturing processes. Nevertheless, these studies are often limiting their concerns to the limited life cycle phases or certain environmental impacts. This study proposes a framework regarding how to develop a method for evaluating and identifying improvements that help reduce the life-cycle environmental impacts of complex production processes. In addition, this work employs a simplified case study to demonstrate the proposed framework. 

Place, publisher, year, edition, pages
2016.
National Category
Other Engineering and Technologies not elsewhere specified
Research subject
Production and Automation Engineering
Identifiers
URN: urn:nbn:se:his:diva-13225OAI: oai:DiVA.org:his-13225DiVA, id: diva2:1055342
Conference
7th Swedish Production Symposium, Lund, Sweden, October 25-27, 2016
Funder
Knowledge FoundationAvailable from: 2016-12-12 Created: 2016-12-12 Last updated: 2022-10-12Bibliographically approved
In thesis
1. Integrating life cycle assessment into simulation-based decision support
Open this publication in new window or tab >>Integrating life cycle assessment into simulation-based decision support
2022 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Increasing marketing and legislative requirements put heavy demands on the environmental performance of future transportation solutions. The resulting need to reduce total environmental impacts presents both challenges and opportunities to the transport sector as a whole, including the automotive industry. Life cycle assessment (LCA) is commonly used to evaluate environmental performance in the automotive industry. However, the static nature of LCAlimits its usefulness for capturing dynamic environmental consequences in the manufacturing and operational phase. This thesis proposes a simulation-based approach to LCA that addresses this problem. Selected real-world case studies demonstrate the potential of the approach in both vehicle production processes and end-user applications. The work was preceded by a comprehensive review of the potential benefits and challenges of using simulation-based LCA in production processes. This review laid the foundation for the development and implementation of this method inthe automotive industry. Two real-world case studies demonstrate its value. The first was a waste collection case study in which LCA was integrated in an existing simulation-based decision support tool to optimize the company’s activities froma life cycle environmental impact perspective. A simultaneously developed simulation-based LCA model of an iron foundry production line extended the applicability of the method with a proposed decision support interpretation approach. The study shows that data and information from both simulation model and LCA databases can be integrated and utilized in the developed simulation-based LCA method. This allows different systems with different configurations to be combined to assess the relevant parameters, and eventually to provide information about overall environmental impacts to decision makers to improvethe environmental sustainability of the automotive industry.

Abstract [sv]

Ökade marknadsförings-och lagstiftningskrav ställer höga krav på miljöprestandan hos framtida transportlösningar. Det behov som detta innebär vad gäller att minska den totala miljöpåverkan medför både utmaningar och möjligheter för transportsektorn som helhet, inklusive fordonsindustrin. Livscykelanalys (LCA) används ofta för att utvärdera miljöprestanda inom fordonsindustrin. Den statiska karaktären hos LCA begränsar dock dess användbarhet när det handlar om att representera dynamiska miljökonsekvenser i tillverknings-och driftsfasen. Denna avhandling föreslår en simuleringsbaserad metod för LCA som tar itu med detta problem. Utvalda fallstudier från verkligheten påvisar potentialen för tillvägagångssättet i både fordonsproduktionsprocesser och slutanvändarapplikationer. Metodens utveckling har föregåtts av en omfattande genomgång av potentiella fördelar och utmaningar med att använda simuleringsbaserad LCA i produktionsprocesser. Denna granskning har sedan lagt grunden för utvecklingen och implementeringen av den föreslagna metoden. Två verkliga fallstudier påvisar dess värde. Den första är en fallstudie inom avfallsinsamling där LCA integrerats i ett befintligt simuleringsbaserat beslutsstödsverktyg för att optimera organisationens aktiviteter ur ett livscykelperspektiv utifrån miljöpåverkan. En simuleringsbaserad LCA-modell av en järngjuteriproduktionslinje utökade användbarheten hos metoden genom att en beslutsstödsmetod föreslogs. De genomförda studierna visar att data och information från både simuleringsmodeller och LCA-databaser kan integreras och utnyttjas i den utvecklade simuleringsbaserade LCA-metoden. Detta gör att olika system med olika konfigurationer kan kombineras för att utvärdera relevanta parametrar, och så småningom ge information om övergripande miljöpåverkan till beslutsfattare för att förbättra fordonsindustrins miljömässiga hållbarhet.

Place, publisher, year, edition, pages
Skövde: University of Skövde, 2022. p. x, 43
Series
Dissertation Series ; 43
Keywords
LCA, simulation-based decision support
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-21923 (URN)978-91-984919-7-5 (ISBN)
Presentation
2022-09-09, ASSAR, Skövde, 10:00 (English)
Opponent
Supervisors
Available from: 2022-10-13 Created: 2022-10-11 Last updated: 2022-10-13Bibliographically approved

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Liu, YuSyberfeldt, AnnaUrenda Moris, MatíasJägstam, Mats

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