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Scheduling with fixed delivery dates

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)

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Official URL: http://dx.doi.org/10.1287/opre.49.1.134.11192

Description/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

Item Type:Article
ISSN:0030-364 (print)
Uncontrolled Keywords:production/scheduling: scheduling with fixed delivery dates, sequencing, deterministic: algorithms and complexity results
Related URLs:http://dx.doi.org/10.1287/opre....134.11192
Subjects:Q Science > QA Mathematics
Divisions:University Structure - Pre August 2011 > School of Mathematics > Operational Research
ePrint ID:29617
Deposited On:12 May 2006
Last Modified:01 Jun 2011 03:09

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