Scheduling in Production, Supply Chain and Industry 4.0 Systems by Optimal Control: Fundamentals, State-of-the-Art and Applications

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dc.contributor.ORCID0000-0001-9590-5627 (Sethi, SP)
dc.contributor.authorDolgui, Alexandre
dc.contributor.authorIvanov, Dmitry
dc.contributor.authorSethi, Suresh P.
dc.contributor.authorSokolov, Boris
dc.contributor.utdAuthorSethi, Suresh P.
dc.date.accessioned2020-09-23T15:34:28Z
dc.date.available2020-09-23T15:34:28Z
dc.date.issued2018-02-08
dc.descriptionDue to copyright restrictions and/or publisher's policy full text access from Treasures at UT Dallas is limited to current UTD affiliates (use the provided Link to Article).
dc.description.abstractThis paper presents a survey on the applications of optimal control to scheduling in production, supply chain and Industry 4.0 systems with a focus on the deterministic maximum principle. The first objective is to derive major contributions, application areas, limitations, as well as research and application recommendations for the future research. The second objective is to explain control engineering models in terms of industrial engineering and production management. To achieve these objectives, optimal control models, qualitative methods of performance analysis and computational methods for optimal control are considered. We provide a brief historic overview and clarify major mathematical fundamentals whereby the control engineering terms are brought into correspondence with industrial engineering and management. The survey allows the grouping of models with only terminal constraints with application to master production scheduling, models with hybrid terminal-logical constraints with applications to short term job and flow shop scheduling, and hybrid structural-terminal-logical constraints with applications to customised assembly systems such as Industry 4.0. Computational algorithms in state, control and adjoint variable spaces are discussed.
dc.description.departmentNaveen Jindal School of Management
dc.description.sponsorshipRussian Science Foundation Project No. 17-11-01254 (sections 3-4) and State project No. 0073-2018-0003
dc.identifier.bibliographicCitationDolgui, Alexandre, Dmitry Ivanov, Suresh P. Sethi, and Boris Sokolov. 2019. "Scheduling in production, supply chain and Industry 4.0 systems by optimal control: fundamentals, state-of-the-art and applications." International Journal of Production Research 57(2): 411-432, doi: 10.1080/00207543.2018.1442948
dc.identifier.issn0020-7543
dc.identifier.issue2
dc.identifier.urihttps://dx.doi.org/10.1080/00207543.2018.1442948
dc.identifier.urihttps://hdl.handle.net/10735.1/8918
dc.identifier.volume57
dc.language.isoen
dc.publisherTaylor & Francis Ltd
dc.rights©2018 Informa UK Limited, trading as Taylor & Francis Group
dc.source.journalInternational Journal of Production Research
dc.subjectProcess control
dc.subjectProduction scheduling
dc.subjectBusiness logistics
dc.subjectJob shops
dc.subjectManufacturing systems
dc.titleScheduling in Production, Supply Chain and Industry 4.0 Systems by Optimal Control: Fundamentals, State-of-the-Art and Applications
dc.type.genrearticle

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