dc.creatorVidal-Carreras P.I.
dc.creatorGarcia-Sabater J.P.
dc.creatorCoronado Hernández, Jairo Rafael
dc.date.accessioned2020-03-26T16:32:57Z
dc.date.available2020-03-26T16:32:57Z
dc.date.created2020-03-26T16:32:57Z
dc.date.issued2012
dc.identifierEuropean Journal of Operational Research; Vol. 219, Núm. 2; pp. 396-404
dc.identifier03772217
dc.identifierhttps://hdl.handle.net/20.500.12585/9100
dc.identifier10.1016/j.ejor.2011.12.020
dc.identifierUniversidad Tecnológica de Bolívar
dc.identifierRepositorio UTB
dc.identifier37662305100
dc.identifier16636045200
dc.identifier54383095000
dc.description.abstractThis paper presents an algorithm to define the optimal parameters for deliberated and controlled coproduction in an economic lot scheduling problem setting (DCCELSP). Coproduction is said to be deliberated and controlled because it is possible to decide whether or not to coproduce when all the parameters associated with the process are known. The aim is to determine how to produce two products most economically where deliberated coproduction is an option. For this purpose, a procedure for defining optimal lot periods is introduced. Two models are proposed for this procedure and a numerical illustration is provided to gain insight into their dynamics. The cost advantages of coproduction were found to depend on the relationship between setup and holding costs, production rates, and demand for products. The more similar these system parameters are and the higher the machine usage ratio is, the more favourable coproduction is. Additionally, if coproduction is not deliberated appropriately, costs soar. © 2011 Elsevier B.V. All rights reserved.
dc.languageeng
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.rightsAtribución-NoComercial 4.0 Internacional
dc.sourcehttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84857052143&doi=10.1016%2fj.ejor.2011.12.020&partnerID=40&md5=9b904d361d4b7e5f5bbbb89eeccfdbc1
dc.titleEconomic lot scheduling with deliberated and controlled coproduction


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