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A Novel MILP Model for the Production, Lot Sizing, and Scheduling of Automotive Plastic Components on Parallel Flexible Injection Machines with Setup Common Operators

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A Novel MILP Model for the Production, Lot Sizing, and Scheduling of Automotive Plastic Components on Parallel Flexible Injection Machines with Setup Common Operators

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dc.contributor.author Andres, B. es_ES
dc.contributor.author Guzmán-Ortiz, Brunnel Eduardo es_ES
dc.contributor.author Poler, R. es_ES
dc.date.accessioned 2022-10-06T18:05:58Z
dc.date.available 2022-10-06T18:05:58Z
dc.date.issued 2021-02-11 es_ES
dc.identifier.issn 1076-2787 es_ES
dc.identifier.uri http://hdl.handle.net/10251/187204
dc.description.abstract [EN] In this article, a mixed integer linear program (MILP) model is proposed for the production, lot sizing, and scheduling of automotive plastic components to minimize the setup, inventory, stockout, and backorder costs, by taking into account injection molds as the main index to schedule on parallel flexible injection machines. The proposed MILP considers the minimum and maximum inventory capacities and penalizes stockout. A relevant characteristic of the modeled problem is the dependence between mold setups to produce plastic components. The lot sizing and scheduling problem solution results in the assignment of molds to machines during a specific time period and in the calculation of the number of components to be produced, which is often called lot size, following a sequence-dependent setup time. Depending on the machine on which the mold is setup, the number of units to be produced will be distinct because machines differ from one another. The stock coverage, defined in demand days, is also included in the MILP to avoid backorders, which is highly penalized in the automotive supply chain. Added to this, the proposed model is extended by considering setup common operators to respond to and fulfill the constraints that appear in automotive plastic enterprises. In this regard, the MILP presented solves a lot-sizing and scheduling problem, emerged in a second-tier supplier of a real automotive supply chain. Finally, this article validates the MILP by performing experiments with different sized instances, including small, medium, and large. The large-sized dataset is characterized by replicating the amount of data used in the real enterprise, which is the object of this study. The goodness of the model is evaluated with the computational time and the deviation of the obtained results as regards to the optimal solution. es_ES
dc.description.sponsorship Thiis work was supported by the Conselleria de Educacion, Investigacion, Cultura y Deporte-Generalitat Valenciana for hiring predoctoral research staff with Grant no. ACIF/2018/170 and European Social Fund with Grant Operational Program of FSE 2014-2020, the Valencian Community, and the authors would like to acknowledge the support of the researchers participating in the collaborative projects 'Cloud Collaborative Manufacturing Networks' (C2NET) (http://c2net-project.eu/), which has received funding from the EU Horizon 2020 Research and Innovation Programme with grant agreement no. 63690, and "Zero Defects Manufacturing Platform" (ZDMP) (http://www.zdmp.eu), which has received funding from the EU Horizon 2020 Research and Innovation Programme with grant agreement no. 825631. es_ES
dc.language Inglés es_ES
dc.publisher John Wiley & Sons es_ES
dc.relation.ispartof Complexity es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject.classification ORGANIZACION DE EMPRESAS es_ES
dc.title A Novel MILP Model for the Production, Lot Sizing, and Scheduling of Automotive Plastic Components on Parallel Flexible Injection Machines with Setup Common Operators es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1155/2021/6667516 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/636909/EU es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//ACIF%2F2018%2F170//AYUDA PREDOCTORAL GVA-GUZMAN/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/825631/EU es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses es_ES
dc.description.bibliographicCitation Andres, B.; Guzmán-Ortiz, BE.; Poler, R. (2021). A Novel MILP Model for the Production, Lot Sizing, and Scheduling of Automotive Plastic Components on Parallel Flexible Injection Machines with Setup Common Operators. Complexity. 2021:1-16. https://doi.org/10.1155/2021/6667516 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1155/2021/6667516 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 16 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 2021 es_ES
dc.relation.pasarela S\434262 es_ES
dc.contributor.funder GENERALITAT VALENCIANA es_ES
dc.contributor.funder COMISION DE LAS COMUNIDADES EUROPEA es_ES
upv.costeAPC 2470 es_ES


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