An optimization model based decision support tools for inventory-routing rescheduling problem

The present work addresses rescheduling problem" href="https://civilica.com/search/paper/k-inventory-routing%20rescheduling%20problem/">inventory-routing rescheduling problem (IRRP) that is needed when some minor changes happen in the time of execution of a pre-planned scheduling of an inventory-routing problem (IRP). Due to complexity of process of departing from one pre-planned scheduling IRP to a rescheduling IRP, here a decision-support tool is devised to help the decision maker. This complexity come from the issue that change in an agreed schedule including the used capacity of vehicle, total distance and other factors need a re-agreements negotiation which directly relate to the agreed costs especially when a carrier contractor is responsible for the distribution of goods between customers. From one side he wants to stick to the pre-planned scheduling and from the other side, changes in predicted data of problem at the time of execution need a new optimized solution. The proposed approached applies a mathematical modeling for optimizing the rescheduled problem and offers a sensitivity analysis in order to study the influence of the different adjustment of variables (carried load, distance, …).

Keywords:

inventory-routing rescheduling problem , decision support system , rescheduling