Abstract
We present analytical results aimed at providing a methodology for the design of a 2-stations Automated Guided Vehicle System (AGVS). The AGVS consists of a number of vehicles transporting products between 2 stations. In this paper, the design of an AGVS consists of determining the dispatching rules and the number of vehicles needed to guarantee some product mean waiting time. The dispatching rules indicate how to well utilize the vehicles. Those rules are provided by using Reorder Point Inventory Policy in order to achieve a fill rate. The fill rate is computed in order to respect the maximum mean waiting time. We use Markov Chain theory to estimate the minimum number of vehicles needed to ensure that the dispatching rules work correctly. Finally, we carry out some simulations to validate our model.
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Chevalier, P., Pochet, Y., Talbot, L. (2002). Design of a 2-Stations Automated Guided Vehicle System. In: Klose, A., Speranza, M.G., Van Wassenhove, L.N. (eds) Quantitative Approaches to Distribution Logistics and Supply Chain Management. Lecture Notes in Economics and Mathematical Systems, vol 519. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-56183-2_18
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DOI: https://doi.org/10.1007/978-3-642-56183-2_18
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