Sequence comparison with mixed convex and concave costs
Journal of Algorithms
Economic lot sizing: an O(n log n) algorithm that runs in linear time in the Wagner-Whitin case
Operations Research - Supplement
Improved algorithms for economic lot size problems
Operations Research
A threshold of ln n for approximating set cover
Journal of the ACM (JACM)
Primal-Dual Algorithms for Deterministic Inventory Problems
Mathematics of Operations Research
A 5/3-Approximation Algorithm for Joint Replenishment with Deadlines
COCOA '09 Proceedings of the 3rd International Conference on Combinatorial Optimization and Applications
An efficient polynomial-time approximation scheme for the joint replenishment problem
IPCO'13 Proceedings of the 16th international conference on Integer Programming and Combinatorial Optimization
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We consider a well-known NP-hard deterministic inventory control problem: the One-Warehouse Multi-Retailer (OWMR) problem. We present a simple combinatorial algorithm to recombine the optimal solutions of the natural single-echelon inventory subproblems into a feasible solution of the OWMR problem. This approach yields a 3-approximation. We then show how this algorithm can be improved to a 2-approximation by halving the demands at the warehouse and at the retailers in the subproblems. Both algorithms are purely combinatorial and can be implemented to run in linear time for traditional linear holding costs and quadratic time for more general holding cost structures. We finally show that our technique can be extended to the Joint Replenishment Problem (JRP) with backorders and to the OWMR problem with non-linear holding costs.