Supply chain vs. supply chain: using simulation to compete beyond the four walls
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 2
Negotiation for transportation tasks with stochastic payoffs
Computers in Industry - Special issue on advances in computer integrated production in honour of professor C.L. Moodie's retirement
A collaborative inventory system with permissible delay in payment for deteriorating items
Mathematical and Computer Modelling: An International Journal
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Fulfilling the order requirements from costumers at the right time and with minimum costs has been an important study approached by supply chain management researchers. One of the main aspects addressed is the replenishment process which considers demand forecasting, customer orders, inventory levels, and production and transport planning. Generally, replenishment processes are carried out traditionally by no considering sharing information among the nodes and neither by coordinating the transport planning with the production planning. With this in mind, this paper mainly focuses on proposing a novel decentralized collaborative replenishment model applied to the automobile sector in order to support the decision-making process among automobile supply chain decision-makers. This has been based on the replenishment information that is already used by supply chain members. This work hypothesizes that a collaborative replenishment process could imply a reduction in inventory levels and, in turn, in inventory costs, and that the number of trucks needed to support the replenishment process would be optimized.