Learning Curve in Make-To-Order and Make-To-Stock Logistics Management Approaches

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dc.contributor.authorRodríguez Romero, Yalili
dc.contributor.authorCespón Castro, Roberto
dc.contributor.authorCoello Machado, Norge Isaías
dc.contributor.authorGlistau, Elke
dc.contributor.departmentUniversidad Central "Marta Abreu" de Las Villas. Facultad de Ingeniería Mecánica e Industrial. Departamento de Ingeniería Industrialen_US
dc.contributor.otherOtto-von-Guericke-Universität Magdeburg, Magdeburg, Germanyen_US
dc.coverage.spatialMagdeburgoen_US
dc.date.accessioned2020-03-19T17:09:07Z
dc.date.available2020-03-19T17:09:07Z
dc.date.issued2019-06-06
dc.description.abstractKnowledge is a strategically valuable resource in business management. Activity repetition is known to help learning and improve the ability to do certain job with better quality, lower time consumption and consequently, at lower production cost. This learning ability allowed the development of a prediction technique known as the "learning curve". This technique has been applied in different production processes for planning and to consider the impact on productivity, quality of work. This research is based on the possibility to extrapolate the concept of the learning curve to the supply chain and more specifically to its lead-time. Lead-time is understood as the period of time between the request of an order by the customer and the time when it is satisfied. Therefore, this paper describes a methodology to extrapolate the concept of the learning curve to the supply chain. Firstly, the logistics network is described. Then a pilot sample of orders is determined, for which the lead-time is estimated according to the logistic management approaches (make to order and make to stock) in two Cuban companies. Subsequently, the sample size is verified by statistical regression. Conversion factors for the "learning curve" are determined, and the expected lead-time is adjusted in future orders. Consequently, the essential objective of this paper is to realize the learning curve to measure the lead-time of the orders, for the MTO and MTS logistics management approaches.en_US
dc.identifier.citationROMERO, Dipl-Ing Yalili Rodríguez; CASTRO, Roberto Cespón; GLISTAU, Ing Elke. LEARNING CURVE IN MAKE-TO-ORDER AND MAKE-TO-STOCK LOGISTICS MANAGEMENT APPROACHES.en_US
dc.identifier.issn978-3-944722-83-2en_US
dc.identifier.urihttps://dspace.uclv.edu.cu/handle/123456789/12486
dc.language.isoen_USen_US
dc.relation.journalEnglish Scientific Conference proceedings: 12th International Doctoral Students Workshop on Logisticsen_US
dc.rightsEste documento es Propiedad Patrimonial de Institute of Logistics and Material Handling Systems Otto von Guericke University Magdeburgy se socializa en este Repositorio gracias a la política de acceso abierto del English Scientific Conference proceedings: 12th International Doctoral Students Workshop on Logistics.en_US
dc.rights.holderUniversidad Central "Marta Abreu" de Las Villasen_US
dc.source.endpage98en_US
dc.source.initialpage93en_US
dc.source.issue148en_US
dc.subjectMake-To-Orderen_US
dc.subjectMake-To-Stocken_US
dc.subjectLearning Curveen_US
dc.subjectLean Timeen_US
dc.titleLearning Curve in Make-To-Order and Make-To-Stock Logistics Management Approachesen_US
dc.typeArticleen_US
dc.type.article2en_US

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