La *Maestría en Logística y Cadena de Suministro *tiene el agrado de invitar al público en general a su seminario, el cual se llevará a cabo el Lunes 06 de junio de 2016 a las 19:00 hrs en el *auditorio de doctorado Raúl Quintero*, el cual está ubicado la planta uno del edificio # 5 (CIDET) de la Facultad de Ingeniería Mecánica y Eléctrica. Teniendo la siguiente ponencia:
*Título: *«*Minimum Order Quantities, integration of distribution and production constraints for a pharmaceutical company*»
*Ponente: *MC Jonás Betancourt
*Resumen*: The aim of this thesis is to integrate, on a decision-making tool, distribution and production constraints for the computation of the MOQ (Minimum Order Quantities) optimized to satisfy a forecasted demand. By analyzing both distribution and production constraints we understand a simultaneous optimization at the tactical and operational decision levels.
Two main models are formulated and their performances are tested regarding the operations cost optimization. At the first instance the model developed is based on a preliminary multi-item economical order quantity approach by using a tailored aggregation. Secondly, a mixed integer-linear programming model of this production-distribution chain is developed, with the objective of minimizing the total production, transportation and holding costs.
A Vendor Managed Inventory (VMI) structure is held by the supply chain; hence the demand, carrying as well as the ordering costs are defined by gathering the necessary data from the company’s clients. Therefore the real implementation performance of both developed models could be affected by the accuracy of these parameters as well.
A pharmaceutical context implies a set of strong constraints. Since the company’s clients are over 70 countries, this set of constraints varies from one country to another due to their regulations. This variation significantly affects the decisions that must be taken for all the stock keeping units, produced and distributed, and which sum around 740.
* Palabras clave:* Supply chain management, vendor managed inventory, multi-itemeconomical order quantity, inventory management, integer programming.
Esperamos contar con su amable asistencia.
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