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Abstract. Companies survive in saturated markets trying to be more productive and more efficient. In this context, to manage more accurately the finished goods inventories becomes critical for make to stock production systems companies. In this paper an inventory replenishment expert system with the objectives of improving quality service and reducing holding costs is proposed. The Inventory Replenishment Expert System (IRES) is based on a periodic review inventory control and time series forecasting techniques. IRES propose the most effective replenishment strategy for each supply classed derived of an ABC-XYZ Analysis.

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Purpose: Companies survive in saturated markets trying to be more productive and more efficient. In this context, it becomes critical for companies to manage the entire supply network to optimize overall performance.  Hence, the supply strategy plays an important role because it influences the way in which production and logistics network has to be configured and managed. This paper explores the benefits obtained configuring different supply strategies adapted to customer needs.

Design/methodology/approach: For this purpose a case research from a Tier 2 point of view of the supply chain has been conducted.

Findings and Originality/value: The case research demonstrates that a higher service level, less holding costs and increase turnovers can be obtained implementing the adequate supply strategy.

Originality/value: There is a scarcity of research specifically focused on applied Supply Chain Principles within network configuration processes. Moreover, there are few empirical studies of global Tier 2 with multiple decoupling points into its supply chain network.

La preparación de pedidos o picking es un proceso clave dentro de la gestión de almacenes por su impacto sobre los costes operativos y por la alta repercusión en la calidad de los pedidos. Por este motivo las compañías prestan especial atención a esta actividad, intensificando esfuerzos para optimizarla y lograr reducir costos y garantizar la satisfacción del cliente simultáneamente. El presente ar tículo pretende identificar las problemáticas del picking de empresas industriales y de distribución, así como establecer la relación de dichas dificultades con las técnicas de gestión y tecnologías disponibles. El método investigador utilizado ha sido el estudio Delphi.