[Scheduling seminar] Danny Segev (Tel Aviv University) | June 10 | New Approximation Guarantees for The Inventory Staggering Problem
Zdenek Hanzalek via dmanet <[email protected]> Mon, 8 Jun 2026 09:29:24 +0200
| Newsgroups | gmane.science.mathematics.discrete |
|---|---|
| Message-ID | <[email protected]> |
Dear scheduling researcher, We are delighted to announce the talk given Danny Segev (Tel Aviv University). The title is "New Approximation Guarantees for The Inventory Staggering Problem". The seminar will take place on Zoom on Wednesday, June 10 at 13:00 UTC. Join Zoom Meeting https://cesnet.zoom.us/j/99209667011?pwd=ICWK51KjbRMCN0VQ9eJrabmRfbXN8u.1 Meeting ID: 992 0966 7011 Passcode: 061504 You can follow the seminar online or offline on our Youtube channel as well: https://www.youtube.com/channel/UCUoCNnaAfw5NAntItILFn4A <https://www.youtube.com/channel/UCUoCNnaAfw5NAntItILFn4A> The abstract follows. Since its inception in the mid-60s, the inventory staggering problem has been explored and exploited in a wide range of application domains, such as production planning, stock control systems, warehousing, and aerospace/defense logistics. However, even with a rich history of academic focus, we are still very much in the dark when it comes to cornerstone computational questions around inventory staggering and to related structural characterizations, with our methodological toolbox being severely under-stocked. The central contribution of this paper consists in devising a host of algorithmic techniques and analytical ideas — some being entirely novel and some leveraging well-studied concepts in combinatorics and number theory — for surpassing essentially all known approximation guarantees for the inventory staggering problem. In particular, our work demonstrates that numerous structural properties open the door for designing polynomial-time approximation schemes; these findings offer substantial improvements over currently available constant-factor approximations and resolve outstanding open questions in their respective contexts (Teo et al., 1998; Hum et al., 2005; Hochbaum and Rao, 2019, 2020). In parallel, we develop new theory around a number of yet-uncharted questions, related to the sampling complexity of peak inventory estimation as well as to the plausibility of groupwise synchronization. The next talk in our series will be: Florian Jaehn (Helmut Schmidt University) | June 24 | Scheduling with restrictions on job positions. For more details, please visit https://schedulingseminar.com/ <https://schedulingseminar.com/> With kind regards Zdenek Hanzalek, Michael Pinedo and Guohua Wan -- Zdenek Hanzalek Industrial Informatics Department, Czech Institute of Informatics, Robotics and Cybernetics, Czech Technical University in Prague, Jugoslavskych partyzanu 1580/3, 160 00 Prague 6, Czech Republic https://rtime.ciirc.cvut.cz/~hanzalek/ ********************************************************** * * Contributions to be spread via DMANET are submitted to * * [email protected] * * Replies to a message carried on DMANET should NOT be * addressed to DMANET but to the original sender. The * original sender, however, is invited to prepare an * update of the replies received and to communicate it * via DMANET. * * DISCRETE MATHEMATICS AND ALGORITHMS NETWORK (DMANET) * http://www.zaik.uni-koeln.de/AFS/publications/dmanet/ * **********************************************************