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Scheduling with fixed delivery dates

Scheduling with fixed delivery dates
Scheduling with fixed delivery dates

Most scheduling models assume that a job is delivered to the customer as soon as its processing completes. In many practical situations, delivery dates may be fixed before any jobs can be processed, and if a job completes between these dates it awaits the next delivery time. Thus, in such situations a job completes when it is delivered to the customer. We study deterministic scheduling problems in which deliveries of jobs to customers occur at fixed points in time. These types of problems arise in many situations in real life. The problem types are classified according to their computational complexity into two categories, viz those that are `easily' solvable and those that are `difficult'. Some selected problem types in the latter category are studied. The branch-and-bound technique plays a major role in testing these problems. Heuristic (or approximate) algorithms are also studied.

University of Southampton
Lesaoana, Maseka Anna
Lesaoana, Maseka Anna

Lesaoana, Maseka Anna (1991) Scheduling with fixed delivery dates. University of Southampton, Doctoral Thesis.

Record type: Thesis (Doctoral)

Abstract

Most scheduling models assume that a job is delivered to the customer as soon as its processing completes. In many practical situations, delivery dates may be fixed before any jobs can be processed, and if a job completes between these dates it awaits the next delivery time. Thus, in such situations a job completes when it is delivered to the customer. We study deterministic scheduling problems in which deliveries of jobs to customers occur at fixed points in time. These types of problems arise in many situations in real life. The problem types are classified according to their computational complexity into two categories, viz those that are `easily' solvable and those that are `difficult'. Some selected problem types in the latter category are studied. The branch-and-bound technique plays a major role in testing these problems. Heuristic (or approximate) algorithms are also studied.

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More information

Published date: 1991

Identifiers

Local EPrints ID: 460561
URI: http://eprints.soton.ac.uk/id/eprint/460561
PURE UUID: 7fb7a38d-a9db-4f1b-b02a-f614f5c25423

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Date deposited: 04 Jul 2022 18:24
Last modified: 04 Jul 2022 18:24

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Contributors

Author: Maseka Anna Lesaoana

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