Abstract
In the military and especially the air force, having local repair and storage capability in site impact directly on the operational readiness of armed forces. It is also clear being able to resupply the neighboring sites would make the armed forces more responsive to failures. Here, we consider a network model composed of multiple depots that face uncertain demands for repairable items. It describes the joint problem of determining how many units to repair locally, hold in inventory, and how many to ship to other depots-so as to minimize system-wide inventory storage, shortage and delivery costs. The fleet of vehicles is all stationed at the main depot and each depot has a certain holding and repair capacity. The formulation extends the Federgruen & Zipkin’s combined vehicle-routing and inventory-allocation model (1984) by including local repair and lateral resupply capability. The additional complexity is that each depot needs to decide how many units to repair and can re-supply others.
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Acknowledgements
The authors like to acknowledge the valuable inputs from M. Arostegui, M. Niklas, J. Stewart, and J. Weir, for their contribution during the conduct of this study. They also benefited from the insightful comments of reviewers. The study was conducted under the sponsorship of the Air Force Materiel Command at Wright-Patterson AFB while the first author was stationed at the Base and while the second author was a faculty member of the Air Force Institute of Technology. Obviously, the authors alone are responsible for the document as presented. The views expressed here do not represent those of the organizations the authors are/were affiliated with.
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Eren, B., Chan, Y. (2015). A Combined Inventory and Lateral Re-Supply Model for Repairable Items—Part I: Modeling an Air Force Logistics Problem. In: Zeimpekis, V., Kaimakamis, G., Daras, N. (eds) Military Logistics. Operations Research/Computer Science Interfaces Series, vol 56. Springer, Cham. https://doi.org/10.1007/978-3-319-12075-1_4
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DOI: https://doi.org/10.1007/978-3-319-12075-1_4
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