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Smart Reconfigurabl...
Smart Reconfigurable Manufacturing: Literature Analysis
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- Li, Xingyu (författare)
- School of Engineering Technology, Purdue University, West Lafayette, IN, USA
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- Athinarayanan, Ragu (författare)
- School of Engineering Technology, Purdue University, West Lafayette, IN, USA
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- Wang, Baicun (författare)
- School of Mechanical Engineering, Zhejiang University, Hangzhou, China
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- Yuan, Wei (författare)
- R&D Division, Hitachi America, Ltd., Farmington Hills, MI, USA
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- Zhou, Quan (författare)
- R&D Division, Hitachi America, Ltd., Farmington Hills, MI, USA
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- Jun, Martin (författare)
- Mechanical Engineering, Purdue University, West Lafayette, IN, USA
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- Bravo, Jose (författare)
- School of Engineering Technology, Purdue University, West Lafayette, IN, USA
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- Gao, Robert X. (författare)
- Department of Mechanical & Aerospace Engineering, Case Western Reserve University, Cleveland, OH, USA
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- Wang, Lihui (författare)
- KTH,Produktionsutveckling
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- Koren, Yoram (författare)
- Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA
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(creator_code:org_t)
- Elsevier B.V. 2024
- 2024
- Engelska.
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Ingår i: 11th CIRP Global Web Conference, CIRPe 2023. - : Elsevier B.V.. ; , s. 43-48
- Relaterad länk:
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https://doi.org/10.1...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Smart manufacturing (SM) enhances the competitiveness of manufacturing companies by promoting automation and overall equipment effectiveness (OEE), targeting to produce 100% qualified products fully automatically. One of the key challenges to the SM initiatives is the continuous demand fluctuations in the specification and quantity, especially when a new product variant comes to the production line. Reconfigurable manufacturing (RM) system provides cost-effective, rapid response to abrupt market changes. It provides a solution by its flexibility in repurposing tools, adding machines, and modifying software to rapidly respond to changing demands at low unit costs. The ability of SM technologies through self-programming and cloud computation may significantly complements RM initiatives. There is increasing evidence that SM and RM may augment each other through their complementary strengths, leading to the new paradigm of smart reconfigurable manufacturing (SRM). To highlight the complementary strengths, this paper investigates the converging trend of RM and SM based on natural language processing, e.g., topic modeling and semantic embedding. Key characteristics and industrial use cases are subsequently summarized to systematically delineate the new SRM paradigm and illustrate its advantages and feasibility in practice.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Produktionsteknik, arbetsvetenskap och ergonomi (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Production Engineering, Human Work Science and Ergonomics (hsv//eng)
Nyckelord
- Natural Language Processing
- Reconfigurable Manufacturing Systems
- Smart Reconfigurable Manufacturing
- Smart Manufacturing
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
- Av författaren/redakt...
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Li, Xingyu
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Athinarayanan, R ...
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Wang, Baicun
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Yuan, Wei
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Zhou, Quan
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Jun, Martin
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visa fler...
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Bravo, Jose
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Gao, Robert X.
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Wang, Lihui
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Koren, Yoram
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