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arXiv · 2302.09941

The Continuous-Time Joint Replenishment Problem: $\epsilon$-Optimal Policies via Pairwise Alignment

Danny Segev
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Abstract

The main contribution of this paper resides in developing a new algorithmic approach for addressing the continuous-time joint replenishment problem, termed $\Psi$-pairwise alignment. The latter mechanism, through which we synchronize multiple Economic Order Quantity models, allows us to devise a purely-combinatorial algorithm for efficiently approximating optimal policies within any degree of accuracy. As a result, our work constitutes the first quantitative improvement over power-of-$2$ policies, which have been state-of-the-art in this context since the mid-80's. Moreover, in light of recent intractability results, by proposing an efficient polynomial-time approximation scheme (EPTAS) for the joint replenishment problem, we resolve the long-standing open question regarding the computational complexity of this classical setting.

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Danny Segev. 2023-02-20. The Continuous-Time Joint Replenishment Problem: $\epsilon$-Optimal Policies via Pairwise Alignment. https://arxiv.org/abs/2302.09941

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