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Scheduling for parallel dedicated machines with a single server

Scheduling for parallel dedicated machines with a single server

Glass, Celia A., Shafransky, Yakov M. and Strusevich, Vitaly A. (2000) Scheduling for parallel dedicated machines with a single server. Naval Research Logistics, 47 (4). pp. 304-328. ISSN 0894-069X (Print), 1520-6750 (Online) (doi:10.1002/(SICI)1520-6750(200006)47:4<304::AID-NAV3>3.0.CO;2-1)

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Abstract

This paper examines scheduling problems in which the setup phase of each operation needs to be attended by a single server, common for all jobs and different from the processing machines. The objective in each situation is to minimize the makespan. For the processing system consisting of two parallel dedicated machines we prove that the problem of finding an optimal schedule is NP-hard in the strong sense even if all setup times are equal or if all processing times are equal. For the case of m parallel dedicated machines, a simple greedy algorithm is shown to create a schedule with the makespan that is at most twice the optimum value. For the two machine case, an improved heuristic guarantees a tight worst-case ratio of 3/2. We also describe several polynomially solvable cases of the later problem. The two-machine flow shop and the open shop problems with a single server are also shown to be NP-hard in the strong sense. However, we reduce the two-machine flow shop no-wait problem with a single server to the Gilmore-Gomory traveling salesman problem and solve it in polynomial time. (c) 2000 John Wiley & Sons, Inc.

Item Type: Article
Additional Information: [1] First published online: 6 April 2000. [2] Published in print: June 2000.
Uncontrolled Keywords: scheduling, parallel dedicated machines, single server, complexity, approximation
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Department of Mathematical Sciences
School of Computing & Mathematical Sciences > Statistics & Operational Research Group
Related URLs:
Last Modified: 14 Oct 2016 09:00
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/392

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