Learning Curve in Make-To-Order and Make-To-Stock Logistics Management Approaches
Rodríguez Romero, Yalili
Cespón Castro, Roberto
Coello Machado, Norge Isaias
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Knowledge 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.
Este 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.