An EPQ inventory model considering an imperfect production system with probabilistic demand and collaborative approach

dc.creatorSalas-Navarro, Katherinne
dc.creatorAcevedo-Chedid, Jaime
dc.creatorMora Árquez, Gina
dc.creatorF. Florez, Whady
dc.creatorOspina Mateus, Holman
dc.creatorSankar Sana, Shib
dc.creatorCárdenas-Barrón, Leopoldo Eduardo
dc.date2020-11-24T16:26:38Z
dc.date2020-11-24T16:26:38Z
dc.date2019
dc.date.accessioned2023-10-03T20:11:45Z
dc.date.available2023-10-03T20:11:45Z
dc.identifierhttps://hdl.handle.net/11323/7460
dc.identifierhttp://doi.org/10.1108/JAMR-07-2019-0141
dc.identifierCorporación Universidad de la Costa
dc.identifierREDICUC - Repositorio CUC
dc.identifierhttps://repositorio.cuc.edu.co/
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9174721
dc.descriptionPurpose The purpose of this paper is to propose an economic production quantity (EPQ) inventory model considering imperfect items and probabilistic demand for a two-echelon supply chain. The production process is imperfect and the imperfect quality items are removed from the lot size. The demand rate of the inventory system is random and follows an exponential probability density function and the demand of the retailers is depending on the initiatives of the sales team. Design/methodology/approach Two approaches are examined. In the non-collaborative approach, any member of the supply chain can be the leader and takes decisions to optimize the profits, and in the collaborative system, all members make joint decisions about the production, supply, sales and inventory to optimize the profits of the supply chain members. The calculus approach is applied to find the maximum profit related to the members of the supply chain. Findings A numerical example is presented to illustrate the performance of the EPQ model. The results show that collaborative approach generates greater profits to the supply chain and the market’s demand represents the variable behavior and uncertainty that is generated in the replenishment of a supply chain. Originality/value The new and major contributions of this research are: the inventory model considers demand for products is random variable which follows an exponential probability distribution function and it also depends on the initiatives of sales teams, the imperfect production system generates defective items, different cycle time are considered in manufacturer and retailers and collaborative and non-collaborative approaches are also studied.
dc.formatapplication/pdf
dc.formatapplication/pdf
dc.languageeng
dc.publisherCorporación Universidad de la Costa
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dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.sourceJournal of Advances in Management Research
dc.sourcehttps://www.emerald.com/insight/content/doi/10.1108/JAMR-07-2019-0141
dc.subjectOptimization
dc.subjectSupply chain
dc.subjectInventory
dc.subjectEPQ model
dc.subjectProbabilistic demand
dc.titleAn EPQ inventory model considering an imperfect production system with probabilistic demand and collaborative approach
dc.typeArtículo de revista
dc.typehttp://purl.org/coar/resource_type/c_6501
dc.typeText
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typehttp://purl.org/redcol/resource_type/ART
dc.typeinfo:eu-repo/semantics/acceptedVersion
dc.typehttp://purl.org/coar/version/c_ab4af688f83e57aa


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