dc.creatorZamarripa, Miguel
dc.creatorCoccola, Mariana Evangelina
dc.creatorHjaila, Kefah
dc.creatorSilvente, Javier
dc.creatorMendez, Carlos Alberto
dc.creatorEspuña, Antonio
dc.date.accessioned2016-12-05T17:52:51Z
dc.date.available2016-12-05T17:52:51Z
dc.date.created2016-12-05T17:52:51Z
dc.date.issued2013-06
dc.identifierZamarripa, Miguel; Coccola, Mariana Evangelina; Hjaila, Kefah; Silvente, Javier; Mendez, Carlos Alberto; et al.; Knowledge-based Approach for the Integration of the Planning and Scheduling Decision-making Levels; AIDIC; Chemical Engineering Transactions; 32; 6-2013; 1339-1344
dc.identifier1974-9791
dc.identifierhttp://hdl.handle.net/11336/8782
dc.description.abstractThis work aims to integrate the tactical and operational decision making levels. A typical Scheduling mixed integer linear programming (MILP) model has been solved using several demand scenarios. The results have been analyzed and accordingly the operation cost vs. production levels nonlinear equations have been obtained. The aforementioned equations have been included as constraints of the SC planning problem. Hence, production, inventory and distribution variables along the complete SC have been optimized using a NLP model.
dc.languageeng
dc.publisherAIDIC
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.3303/CET1332224
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectKnowledge-Based Approach
dc.subjectPlanning And Scheduling
dc.subjectNlp Model
dc.subjectSupply Chain
dc.titleKnowledge-based Approach for the Integration of the Planning and Scheduling Decision-making Levels
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:ar-repo/semantics/artículo
dc.typeinfo:eu-repo/semantics/publishedVersion


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