Aicha Aguezzoul
Lorraine University, UFR ESM-IAE, Metz, France
Download articlehttp://dx.doi.org/10.3384/ecp17142308Published in: Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016
Linköping Electronic Conference Proceedings 142:44, p. 308-311
Published: 2018-12-19
ISBN: 978-91-7685-399-3
ISSN: 1650-3686 (print), 1650-3740 (online)
Multi-sourcing, inventory, and transportation management are among the major levers of a supply chain. In this paper, we study the case of multi-sourcing problem by considering the transportation policies used between suppliers and a buyer. Thus, we propose a programming model that determines the optimal order quantities to allocate to the suppliers used, according to the direct or indirect shipment. The objective to minimize in the model is the total logistics cost which is composed of purchasing, inventory, and transportation costs. The constraints related to suppliers and buyer are considered. The model is illustrated with a comprehensive example.
nonlinear programming, multi-sourcing, quantity allocation, transportation, simulation