Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/50902
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Campo DC | Valor | Idioma |
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dc.contributor.author | Reddy, M. B. S. Sreekara | por |
dc.contributor.author | Ratnam, C. H. | por |
dc.contributor.author | Agrawal, Rajeev | por |
dc.contributor.author | Varela, Maria Leonilde Rocha | por |
dc.contributor.author | Sharma, Ila | por |
dc.contributor.author | Manupati, V. K. | por |
dc.date.accessioned | 2018-02-22T18:37:56Z | - |
dc.date.available | 2018-02-22T18:37:56Z | - |
dc.date.issued | 2017 | - |
dc.identifier.issn | 0360-8352 | - |
dc.identifier.uri | https://hdl.handle.net/1822/50902 | - |
dc.description.abstract | This paper presents a novel social network analysis based method (SNAM) to evaluate the reconfiguration effect i.e., identification of key machines and their influence on the system performance in the context of Flexible job shop scheduling problem (FJSSP). This research formulates a mathematical model along with the constraints by incorporating the total completion time of jobs as an objective function. The proposed SNAM has been applied to generate the collaboration networks by transforming the input data and presenting them in the form of an affiliation matrix to the network analysis software. Thereafter, to analyze the collaboration networks various SNA measures that have been calculated and different functional properties are evaluated. Finally, to investigate the reconfiguration effect on makespan integration of process planning and scheduling (IPPS) has been implemented with adopted effective game theory based hybrid deoxyribonucleic acid (DNA) algorithm. The validation of the proposed approach and its effectiveness is conducted through comparisons with benchmark instances and results confirm the efficiency of the proposed approach. | por |
dc.description.sponsorship | This work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT – Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2013. | por |
dc.language.iso | eng | por |
dc.publisher | Pergamon-Elsevier Science Ltd | por |
dc.relation | info:eu-repo/grantAgreement/FCT/5876/147280/PT | por |
dc.rights | openAccess | por |
dc.subject | Flexible job shop scheduling problem | por |
dc.subject | Social network analysis method | por |
dc.subject | Integration of process planning and scheduling | por |
dc.subject | Deoxyribonucleic acid | por |
dc.title | Investigation of reconfiguration effect on makespan with social network method for flexible job shop scheduling problem | por |
dc.type | article | por |
dc.peerreviewed | yes | por |
oaire.citationStartPage | 231 | por |
oaire.citationEndPage | 241 | por |
oaire.citationVolume | 110 | por |
dc.date.updated | 2018-02-13T18:50:34Z | - |
dc.identifier.doi | 10.1016/j.cie.2017.06.014 | por |
dc.description.publicationversion | info:eu-repo/semantics/publishedVersion | por |
dc.subject.wos | Science & Technology | - |
sdum.export.identifier | 2670 | - |
sdum.journal | Computers & Industrial Engineering | por |
Aparece nas coleções: | CAlg - Artigos em revistas internacionais / Papers in international journals |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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manuscriptCIE_final.pdf | 1,63 MB | Adobe PDF | Ver/Abrir |