The vehicle routing problem
Integrating local search and network flow to solve the inventory routing problem
Eighteenth national conference on Artificial intelligence
Efficient Insertion Heuristics for Vehicle Routing and Scheduling Problems
Transportation Science
A Decomposition Approach for the Inventory-Routing Problem
Transportation Science
An optimization algorithm for the inventory routing problem with continuous moves
Computers and Operations Research
High-Performance Local Search for Task Scheduling with Human Resource Allocation
SLS '09 Proceedings of the Second International Workshop on Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics
High-Performance Local Search for Task Scheduling with Human Resource Allocation
SLS '09 Proceedings of the Second International Workshop on Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics
Randomized Local Search for Real-Life Inventory Routing
Transportation Science
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In this paper, a real-life routing and scheduling problem encountered is addressed. The problem, which consists in optimizing the delivery of fluids by tank trucks on a long-term horizon, is a generalization of the vehicle routing problem with vendor managed inventory replenishment. The particularity of this problem is that the vendor monitors the customers' inventories, deciding when and how much each inventory should be replenished by routing tank trucks. Thus, the objective of the vendor is to minimize the logistic cost of the inventory replenishment for all customers over the long run. Then, an original local-search heuristic is presented for solving the short-term planning problem. The engineering of this algorithm follows the three-layers methodology for "high-performance local search" recently introduced by some of the authors. A computational study demonstrates that our solution is both effective, efficient and robust, providing long-term savings exceeding 20 % on average, compared to solutions computed by expert planners or even a classical greedy algorithm. The resulting software is now exploited in North America by one of the French industry leaders.