Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/63067

TitleRanked sequence positional weight heuristic for simultaneous balancing and scheduling jobs in a distributed manufacturing environment
Author(s)Kays, Emrul
Karim, Atashgar
Varela, M.L.R.
Putnik, Goran D.
Ávila, Paulo
KeywordsDistributed manufacturing environments
Heuristics
Integer programming
Mathematical model
RSPW
Simultaneous balancing and scheduling
Issue date2018
PublisherElsevier B.V.
JournalProcedia CIRP
Abstract(s)In the current competitive and globalized manufacturing scenario Distributed Manufacturing Environments are increasing, and it turns mandatory to explore improved operational approaches. For enhanced simultaneous balancing and scheduling jobs in a Distributed Manufacturing Environment (DME) a mathematical model of Ranked Sequence Positional Weight (RSPW) is proposed. The model capabilities are analysed through a test problem and the results have demonstrated that the proposed RSPW heuristics mathematical model do perform better than other competitive approaches.
TypeConference paper
URIhttp://hdl.handle.net/1822/63067
DOI10.1016/j.procir.2017.12.166
ISSN2212-8271
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings

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