Minimizing the Total Cost in an Integrated Vendor--Managed Inventory System
Journal of Heuristics
Performance Measurement for Inventory Routing
Transportation Science
Manufacturing & Service Operations Management
A Price-Directed Approach to Stochastic Inventory/Routing
Operations Research
Invited Review: Industrial aspects and literature survey: Combined inventory management and routing
Computers and Operations Research
Optimal commodity distribution for a vehicle with fixed capacity under vendor managed inventory
ESCAPE'07 Proceedings of the First international conference on Combinatorics, Algorithms, Probabilistic and Experimental Methodologies
Proceedings of the Winter Simulation Conference
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An industrial gases tanker vehicle visitsn customers on a tour, with a possible ( n + 1)st customer added at the end. The amount of needed product at each customer is a known random process, typically a Wiener process. The objective is to adjust dynamically the amount of product provided on scene to each customer so as to minimize total expected costs, comprising costs of earliness, lateness, product shortfall, and returning to the depot nonempty. Earliness costs are computed by invocation of an annualized incremental cost argument. Amounts of product delivered to each customer are not known until the driver is on scene at the customer location, at which point the customer is either restocked to capacity or left with some residual empty capacity, the policy determined by stochastic dynamic programming. The methodology has applications beyond industrial gases.