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20172026
most citedMinimizing the Number of Tardy Jobs and Maximal Tardiness on a Single Machine is NP-hard

2 citations · 5 across the 18 of their papers we have counts for

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Showing 2026Show all

6 papers · 1 filter

cs.DS2026

New Complexity Results for Fair Repetitive Scheduling

Moran Koren, Michael L. Pinedo, Dvir Shabtay

We revisit the problem of finding fair solutions to repetitive scheduling problems with a single machine. In this problem, we are given a set of clients and a planning horizon…

cs.DS2026

Approximate Total Weighted Completion Time with Convex Controllable Processing Times

Klaus Heeger, Danny Hermelin, Dvir Shabtay

We study the single-machine scheduling problem with controllable processing times to minimize the total weighted completion time, focusing on the setting where a job's processing t…

cs.DS2026

Lawler-Moore Speedups via Additive Combinatorics

Karl Bringmann, Danny Hermelin, Tomohiro Koana +1

The Lawler-Moore dynamic programming framework is a classical tool in scheduling on parallel machines. It applies when the objective is regular, i.e. monotone in job completion tim…

cs.DS2026

Fast Makespan Minimization via Short ILPs

Danny Hermelin, Dvir Shabtay

Short integer linear programs are programs with a relatively small number of constraints. We show how recent improvements on the running-times of solvers for such programs can be u…

cs.DS2026

Robust Permutation Flowshops Under Budgeted Uncertainty

Noam Goldberg, Danny Hermelin, Dvir Shabtay

We consider the robust permutation flowshop problem under the budgeted uncertainty model, where at most a given number of job processing times may deviate on each machine. We show…

cs.DM2026

A Parametrized Complexity View on Robust Scheduling with Budgeted Uncertainty

Noam Goldberg, Dvir Shabtay

In this study, we investigate a robust single-machine scheduling problem under processing time uncertainty. The uncertainty is modeled using the budgeted approach, where each job h…