Management and control of stochastic drug supply chain by KANBAN and Petri Net

This paper aims to improve the management of internal drug logistic flows and both, reduce and master the different stochastic aspects in order to increase the degree of flexibility and robustness of drug supply chain. To achieve this goal, we propose as the first solution the KANBAN system implementation with a priority management policy, as an effective management system for hospital supply and inventory. The second proposition is a flexible structure implementation to reduce and master the stochastic effect coming from suppliers. Finally, the Colored & Timed Petri Net is used to model drug logistic flows with the two above propositions, and will serve as a control and decision-support tool for drug supply chain.