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A New Product Driven System Concept for the Replenishment Process

In: Operational Excellence in Logistics and Supply Chains: Optimization Methods, Data-driven Approaches and Security Insights. Proceedings of the Hamburg International Conference of Logistics (HICL), Vol. 22

Author

Listed:
  • Alfathi, Najlae
  • Lyhyaoui, Abdelouahid
  • Sedqui, Abdelfettah

Abstract

The product driven system improves the reactivity and flexibility of production systems. However, these requirements cannot be achieved without an availability of quality and quantity of raw materials; as a result, the optimization of raw material replenishment system is essential. We present in this paper, the use of product driven system concept for the replenishment process. The integration of infotronic technology makes the product smart and able to communicate with its environment, so the product "being smart" decides the appropriate time for its replenishment. The modeling of this proposal is performed by the Business Process Model Notation "BPMN", having regard to the capacity of this tool to model at the same time, the process of making decision of replenishment by product and the treatment, and the follow-up of the order by the procurement department, as well as the exchange of information between the two collaborators, product and procurement department. To validate the modeling of the replenishment process, an experimental application is simulated by "activiti modeler"; as a result the stock out rate and the overstocking are minimized. The replenishment triggered by the product performs the role of the product driven system for the control of production.

Suggested Citation

  • Alfathi, Najlae & Lyhyaoui, Abdelouahid & Sedqui, Abdelfettah, 2015. "A New Product Driven System Concept for the Replenishment Process," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Blecker, Thorsten & Kersten, Wolfgang & Ringle, Christian M. (ed.), Operational Excellence in Logistics and Supply Chains: Optimization Methods, Data-driven Approaches and Security Insights. Proceedings of the Hamburg , volume 22, pages 55-71, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    • Handle: RePEc:zbw:hiclch:209281
    DOI: 10.15480/882.1265
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