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Rescheduling for new orders

Rescheduling for new orders
Rescheduling for new orders
This paper considers scheduling problems where a set of original jobs has already been scheduled to minimize some cost objective, when a new set of jobs arrives and creates a disruption. The decision maker needs to insert the new jobs into the existing schedule without excessively disrupting it. Two classes of models are considered. First, we minimize the scheduling cost of all the jobs, subject to a limit on the disruption caused to the original schedule, where this disruption is measured in various ways. In the second class, a total cost objective, which includes both the original cost measure and the cost of disruption, is minimized. For both classes and various costs based on classical scheduling objectives, and for almost all problems, we provide either an efficient algorithm or a proof that such an algorithm is unlikely to exist. We also show how to extend both classes of models to deal with multiple disruptions in the form of repeated arrivals of new jobs. Our work refocuses the extensive literature on scheduling problems towards issues of rescheduling, which are important because of the frequency with which disruptions occur in manufacturing practice.
production/scheduling: sequencing, deterministic, single machine
0030-364X
440-453
Hall, Nicholas G.
150c925d-8d57-40f8-9bfe-01ccb34cebc6
Potts, Chris N.
58c36fe5-3bcb-4320-a018-509844d4ccff
Hall, Nicholas G.
150c925d-8d57-40f8-9bfe-01ccb34cebc6
Potts, Chris N.
58c36fe5-3bcb-4320-a018-509844d4ccff

Hall, Nicholas G. and Potts, Chris N. (2004) Rescheduling for new orders. Operations Research, 52 (3), 440-453. (doi:10.1287/opre.1030.0101).

Record type: Article

Abstract

This paper considers scheduling problems where a set of original jobs has already been scheduled to minimize some cost objective, when a new set of jobs arrives and creates a disruption. The decision maker needs to insert the new jobs into the existing schedule without excessively disrupting it. Two classes of models are considered. First, we minimize the scheduling cost of all the jobs, subject to a limit on the disruption caused to the original schedule, where this disruption is measured in various ways. In the second class, a total cost objective, which includes both the original cost measure and the cost of disruption, is minimized. For both classes and various costs based on classical scheduling objectives, and for almost all problems, we provide either an efficient algorithm or a proof that such an algorithm is unlikely to exist. We also show how to extend both classes of models to deal with multiple disruptions in the form of repeated arrivals of new jobs. Our work refocuses the extensive literature on scheduling problems towards issues of rescheduling, which are important because of the frequency with which disruptions occur in manufacturing practice.

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More information

Published date: 2004
Keywords: production/scheduling: sequencing, deterministic, single machine
Organisations: Operational Research

Identifiers

Local EPrints ID: 29625
URI: http://eprints.soton.ac.uk/id/eprint/29625
ISSN: 0030-364X
PURE UUID: 47f206fd-3de5-4454-81f4-ce2599ce1d9b

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Date deposited: 11 May 2006
Last modified: 15 Mar 2024 07:33

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Contributors

Author: Nicholas G. Hall
Author: Chris N. Potts

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