Single-machine scheduling with periodic maintenance and nonresumable jobs

We study a single-machine scheduling problem where periodic maintenance is required in a complete schedule. Although the scheduling problem with maintenance has attracted some researchers’ attention, most of them consider only one maintenance period. In this paper, several maintenance periods are un...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Computers & operations research 2003-08, Vol.30 (9), p.1335-1347
Hauptverfasser: Liao, C.J., Chen, W.J.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:We study a single-machine scheduling problem where periodic maintenance is required in a complete schedule. Although the scheduling problem with maintenance has attracted some researchers’ attention, most of them consider only one maintenance period. In this paper, several maintenance periods are under consideration where each maintenance is required after a periodic time interval. Specifically, the problem is to minimize the maximum tardiness with periodic maintenance and nonresumable jobs. A branch-and-bound algorithm that utilizes several inherent theorems is developed to derive the optimal schedule for the problem. To solve large-sized problems, a heuristic is also developed. Computational results are provided to demonstrate the effectiveness of the heuristic. Scope and purpose A survey of scheduling literature reveals that few researches consider the scheduling problem with maintenance. However, machines subject to maintenance are found prevalently in process industries and manufacturing systems. The purpose of this paper is to solve a single-machine scheduling problem with periodic maintenance. The criterion considered is to minimize the maximum tardiness. We propose a heuristic for finding the near-optimal solution for large-sized problems. A branch-and-bound algorithm is also provided to derive the optimal solution. Computational results demonstrate the effectiveness and efficiency of the heuristic.
ISSN:0305-0548
1873-765X
0305-0548
DOI:10.1016/S0305-0548(02)00074-6