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Scheduling with fixed delivery dates

Scheduling with fixed delivery dates
Scheduling with fixed delivery dates
In most classical scheduling models, it is assumed that a job is dispatched to a customer immediately after its processing completes. In many practical situations, however, a set of delivery dates may be fixed before any jobs are processed. This is particularly relevant where delivery is an expensive or complicated operation, for example, as with heavy machinery. A similar situation arises where customers find deliveries disruptive and thus require them to be made within a limited time interval that repeats periodically. A third possibility is that a periodic business function, for example, the supplier's billing cycle, effectively defines a delivery date, and includes all jobs that have been completed since the previous billing cycle. These situations are not adequately represented by classical scheduling models. We consider a variety of deterministic scheduling problems in which a job is dispatched to a customer at the earliest fixed delivery date that is no earlier than the completion time of its processing. Problems where the number of delivery dates is constant, and others where it is specified as part of data input, are studied. For almost all problems considered, we either provide an efficient algorithm or establish that such an algorithm is unlikely to exist. By doing so, we permit comparisons between the solvability of these fixed delivery date problems and of the corresponding classical scheduling problems
production/scheduling: scheduling with ?xed delivery dates, sequencing, deterministic: algorithms and complexity results
0030-364X
134-144
Hall, Nicholas G.
150c925d-8d57-40f8-9bfe-01ccb34cebc6
Lesaoana, Maseka
372f65ab-2bf4-4dd3-a201-b896dfb0ec54
Potts, Chris N.
58c36fe5-3bcb-4320-a018-509844d4ccff
Hall, Nicholas G.
150c925d-8d57-40f8-9bfe-01ccb34cebc6
Lesaoana, Maseka
372f65ab-2bf4-4dd3-a201-b896dfb0ec54
Potts, Chris N.
58c36fe5-3bcb-4320-a018-509844d4ccff

Hall, Nicholas G., Lesaoana, Maseka and Potts, Chris N. (2001) Scheduling with fixed delivery dates. Operations Research, 49 (1), 134-144. (doi:10.1287/opre.49.1.134.11192).

Record type: Article

Abstract

In most classical scheduling models, it is assumed that a job is dispatched to a customer immediately after its processing completes. In many practical situations, however, a set of delivery dates may be fixed before any jobs are processed. This is particularly relevant where delivery is an expensive or complicated operation, for example, as with heavy machinery. A similar situation arises where customers find deliveries disruptive and thus require them to be made within a limited time interval that repeats periodically. A third possibility is that a periodic business function, for example, the supplier's billing cycle, effectively defines a delivery date, and includes all jobs that have been completed since the previous billing cycle. These situations are not adequately represented by classical scheduling models. We consider a variety of deterministic scheduling problems in which a job is dispatched to a customer at the earliest fixed delivery date that is no earlier than the completion time of its processing. Problems where the number of delivery dates is constant, and others where it is specified as part of data input, are studied. For almost all problems considered, we either provide an efficient algorithm or establish that such an algorithm is unlikely to exist. By doing so, we permit comparisons between the solvability of these fixed delivery date problems and of the corresponding classical scheduling problems

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More information

Published date: 2001
Keywords: production/scheduling: scheduling with ?xed delivery dates, sequencing, deterministic: algorithms and complexity results
Organisations: Operational Research

Identifiers

Local EPrints ID: 29617
URI: http://eprints.soton.ac.uk/id/eprint/29617
ISSN: 0030-364X
PURE UUID: 16ce1ad1-d90a-4c28-ac4a-04aa1099d635

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Date deposited: 12 May 2006
Last modified: 15 Mar 2024 07:33

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Contributors

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

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