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dc.creatorTroncoso Palacio, Alexander Humberto
dc.creatorNeira Rodado, Dionicio
dc.creatorOrtiz Barrios, Miguel Angel
dc.creatorJimenez, Genett
dc.creatorHernandez Palma, Hugo Gaspar
dc.date.accessioned2018-11-20T22:08:01Z
dc.date.available2018-11-20T22:08:01Z
dc.date.issued2018
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/11323/1545
dc.description.abstractJust-in-time delivery has become a key aspect of pharmaceutical industry when loyalizing customers and competing internationally. Additionally, prolonged lead times may lead to increased work-in-process inventory, penalties for non-compliance and cost overrun. The problem is more complex upon considering a wide variety of products as often noted in pharmaceutical companies. It is then relevant to design strategies focusing on improving the delivery performance. Therefore, this paper proposes the use of Discrete-event simulation (DES) to identify inefficiencies and define solutions for the delivery problem. First, input data were gathered and analyzed. Then, a DES model was developed and validated. Finally, potential improvement scenarios were simulated and analyzed regarding productivity rate and proportion of tardy jobs. A case study in a pharmaceutical laboratory is presented to validate the proposed methodology. The results evidenced that, by implementing the best scenario, the productivity may be augmented by 44.83% which would generate zero tardy jobs. © 2018, Springer International Publishing AG, part of Springer Naturespa
dc.language.isoengeng
dc.publisherLecture Notes in Computer Scienceeng
dc.rightsAtribución – No comercial – Compartir igualeng
dc.subjectDiscrete-event simulation (DES)eng
dc.subjectPharmaceutical industryeng
dc.subjectProductivity rateeng
dc.subjectProportion of tardy jobseng
dc.titleUsing discrete-event-simulation for improving operational efficiency in laboratories: a case study in pharmaceutical industryeng
dc.typeArticleeng


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