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Simulation-based mu...
Simulation-based multi-objective optimization for reconfigurable manufacturing system configurations analysis
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- Barrera Diaz, Carlos Alberto, 1987- (author)
- Högskolan i Skövde,Institutionen för ingenjörsvetenskap,Forskningsmiljön Virtuell produkt- och produktionsutveckling,Produktion och Automatiseringsteknik (PAT), Production and Automation Engineering,Univ Skövde, Prod & Automat Engn Div, Box 408 Hogskolevagen, S-54128 Skövde, Sweden.,University of Skövde
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- Aslam, Tehseen, 1981- (author)
- Högskolan i Skövde,Institutionen för ingenjörsvetenskap,Forskningsmiljön Virtuell produkt- och produktionsutveckling,Produktion och Automatiseringsteknik (PAT), Production and Automation Engineering,Univ Skövde, Prod & Automat Engn Div, Box 408 Hogskolevagen, S-54128 Skövde, Sweden.,University of Skövde
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- Ng, Amos H. C., 1970- (author)
- Högskolan i Skövde,Institutionen för ingenjörsvetenskap,Forskningsmiljön Virtuell produkt- och produktionsutveckling,Produktion och Automatiseringsteknik (PAT), Production and Automation Engineering,Univ Skövde, Prod & Automat Engn Div, Box 408 Hogskolevagen, S-54128 Skövde, Sweden.,University of Skövde
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- Flores-García, Erik (author)
- KTH,Hållbar produktionsutveckling (ML),Production Logistics
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- Wiktorsson, Magnus, 1971- (author)
- KTH,Avancerad underhållsteknik och produktionslogistik,Dept. of Sustainable Production Development, KTH Royal Institute of Technology, Södertälje, Sweden,Hållbar produktionsutveckling (ML),Production Logistics
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(creator_code:org_t)
- IEEE, 2020
- 2020
- English.
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In: Proceedings of the 2020 Winter Simulation Conference. - : IEEE. - 9781728194998 - 9781728195001 ; , s. 1527-1538, s. 1527-1538
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- The purpose of this study is to analyze the use of Simulation-Based Multi-Objective Optimization (SMO) for Reconfigurable Manufacturing System Configuration Analysis (RMS-CA). In doing so, this study addresses the need for efficiently performing RMS-CA with respect to the limited time for decision-making in the industry, and investigates one of the salient problems of RMS-CA: determining the minimum number of machines necessary to satisfy the demand. The study adopts an NSGA II optimization algorithm and presents two contributions to existing literature. Firstly, the study proposes a series of steps for the use of SMO for RMS-CA and shows how to simultaneously maximize production throughput, minimize lead time, and buffer size. Secondly, the study presents a qualitative comparison with the prior work in RMS-CA and the proposed use of SMO; it discusses the advantages and challenges of using SMO and provides critical insight for production engineers and managers responsible for production system configuration.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Annan teknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Other Engineering and Technologies (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Produktionsteknik, arbetsvetenskap och ergonomi (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Production Engineering, Human Work Science and Ergonomics (hsv//eng)
Keyword
- Production and Automation Engineering
- Produktion och automatiseringsteknik
- VF-KDO
- VF-KDO
Publication and Content Type
- ref (subject category)
- kon (subject category)
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