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Journal of Scheduling

Journal of Scheduling OnlineFirst articles

17.02.2018

An efficient train scheduling algorithm on a single-track railway system

Since scheduling trains on a single-track railway line is an NP-hard problem, this paper proposes an efficient heuristic algorithm based on a train movement simulation method to search for the near-optimal train timetables within the acceptable …

14.02.2018 | Preface

Preface

02.02.2018

Online scheduling of moldable parallel tasks

In this paper, we study an online scheduling problem with moldable parallel tasks on m processors. Each moldable task can be processed simultaneously on any number of processors of a parallel computer, and the processing time of a moldable task …

22.12.2017

A two-stage stochastic program for multi-shift, multi-analyst, workforce optimization with multiple on-call options

Motivated by a cybersecurity workforce optimization problem, this paper investigates optimizing staffing and shift scheduling decisions given unknown demand and multiple on-call staffing options at a 24/7 firm with three shifts per day, three …

15.12.2017

A unified heuristic and an annotated bibliography for a large class of earliness–tardiness scheduling problems

This work proposes a unified heuristic algorithm for a large class of earliness–tardiness (E–T) scheduling problems. We consider single/parallel machine E–T problems that may or may not consider some additional features such as idle time, setup …

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Über diese Zeitschrift

The Journal of Scheduling provides a global forum for the publication of all forms of scheduling research. It is the only peer reviewed journal with broad coverage of the techniques and applications of scheduling that spans several distinct disciplines.

Readers facing complex scheduling problems can turn to the journal to find the latest advances in the field. Each issue features new and novel techniques, applications, theoretical issues, and innovative approaches to problems. The journal is designed to assist readers in computer science, discrete mathematics, operational research, engineering, management, artificial intelligence, construction, distribution, manufacturing, transportation, aerospace, and retail and service industries.

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J Sched

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