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Models and algorithms for production planning, scheduling and sequencing problems: a holistic framework and a systematic review

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Models and algorithms for production planning, scheduling and sequencing problems: a holistic framework and a systematic review

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dc.contributor.author Guzmán-Ortiz, Brunnel Eduardo es_ES
dc.contributor.author Andres, B. es_ES
dc.contributor.author Poler, R. es_ES
dc.date.accessioned 2023-12-22T19:02:13Z
dc.date.available 2023-12-22T19:02:13Z
dc.date.issued 2022-05 es_ES
dc.identifier.uri http://hdl.handle.net/10251/201090
dc.description.abstract [EN] Production planning, scheduling and sequencing comprise the core of the manufacturing companies' perfor-mance. The new and changing market demands make manufacturing a challenge because companies must produce by using the minimum possible number of resources to provide high-quality products and to respond quickly to market demands. Thus the need for efficient production planning, scheduling and sequencing has become a very important research area for companies and researchers in recent decades. We evaluated the current state of such research with a holistic framework that comprised the plans aggregation and disaggregation levels, the modelling approaches to represent the different types of plans and their characteristics, the solution approaches with the adopted algorithms, the application areas, the intra-and inter-enterprise levels of inte-gration, the sizes of the datasets used to validate the models and algorithms, the development tools, and the quality of the solutions obtained in relation to the problems' data size. The systematic literature review is ar -ranged within the framework and grouped around different types of plans, including production planning, scheduling and sequencing, and their combinations. Finally, some gaps in the related research are identified and future research opportunities are proposed. es_ES
dc.description.sponsorship This work was supported by the Conselleria de Educacion, Investigacion, Cultura y Deporte-Generalitat Valenciana for hiring predoctoral research staff with Grant (ACIF/2018/170) and European Social Funds with Grant Operational Program of FSE 2014-2020, the Valencian Community. es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Journal of Industrial Information Integration es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Production planning es_ES
dc.subject Scheduling es_ES
dc.subject Sequencing es_ES
dc.subject Mathematical programming es_ES
dc.subject Metaheuristics es_ES
dc.subject.classification ORGANIZACION DE EMPRESAS es_ES
dc.title Models and algorithms for production planning, scheduling and sequencing problems: a holistic framework and a systematic review es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.jii.2021.100287 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//ACIF%2F2018%2F170//AYUDA PREDOCTORAL GVA-GUZMAN/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Politécnica Superior de Alcoy - Escola Politècnica Superior d'Alcoi es_ES
dc.description.bibliographicCitation Guzmán-Ortiz, BE.; Andres, B.; Poler, R. (2022). Models and algorithms for production planning, scheduling and sequencing problems: a holistic framework and a systematic review. Journal of Industrial Information Integration. 27:1-17. https://doi.org/10.1016/j.jii.2021.100287 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.jii.2021.100287 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 17 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 27 es_ES
dc.identifier.eissn 2452-414X es_ES
dc.relation.pasarela S\447584 es_ES
dc.contributor.funder European Social Fund es_ES
dc.contributor.funder GENERALITAT VALENCIANA es_ES


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