Abstract
The main contribution of this paper resides in developing a new algorithmic approach for addressing the continuous-time joint replenishment problem, termed Ψ-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-1980s. Moreover, in light of recent intractability results, by proposing an efficient polynomial-time approximation scheme for the joint replenishment problem, we resolve the long-standing open question regarding the computational complexity of this classical setting.
| Original language | English |
|---|---|
| Pages (from-to) | 4183-4197 |
| Number of pages | 15 |
| Journal | Management Science |
| Volume | 71 |
| Issue number | 5 |
| DOIs | |
| State | Published - May 2025 |
| Externally published | Yes |
Bibliographical note
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Keywords
- JRP
- approximation scheme
- inventory management
ASJC Scopus subject areas
- Strategy and Management
- Management Science and Operations Research