Scheduling of customised jobs on a single machine under item availability
Scheduling of customised jobs on a single machine under item availability
We study a problem of scheduling customized jobs on a single-machine. Each job requires two operations: one standard and one specific. Standard operations are processed in batches under item availability, and each batch requires a set-up time. Based on structural properties of the optimal solution, we introduce a generic dynamic programming scheme that builds an optimal schedule by alternately inserting blocks of operations of two distinct types. Our approach yields efficient algorithms for the sum of completion times problem with agreeable processing times and the maximum lateness problem. The number of late jobs problem is shown to be NP-hard in the ordinary sense, but is pseudo-polynomially solvable. A polynomial algorithm is also given for a special case of this problem. Our results indicate the differences between this problem and its counterpart under batch availability.
975-984
Gerodimos, A.E.
19c04d74-5e1e-4b4f-9b58-cd7bb554c5f8
Glass, C.A.
05bcdbf6-1c97-4bb2-ae43-03ccdc6f8f4e
Potts, C.N.
58c36fe5-3bcb-4320-a018-509844d4ccff
2001
Gerodimos, A.E.
19c04d74-5e1e-4b4f-9b58-cd7bb554c5f8
Glass, C.A.
05bcdbf6-1c97-4bb2-ae43-03ccdc6f8f4e
Potts, C.N.
58c36fe5-3bcb-4320-a018-509844d4ccff
Gerodimos, A.E., Glass, C.A. and Potts, C.N.
(2001)
Scheduling of customised jobs on a single machine under item availability.
IIE Transactions, 33 (11), .
Abstract
We study a problem of scheduling customized jobs on a single-machine. Each job requires two operations: one standard and one specific. Standard operations are processed in batches under item availability, and each batch requires a set-up time. Based on structural properties of the optimal solution, we introduce a generic dynamic programming scheme that builds an optimal schedule by alternately inserting blocks of operations of two distinct types. Our approach yields efficient algorithms for the sum of completion times problem with agreeable processing times and the maximum lateness problem. The number of late jobs problem is shown to be NP-hard in the ordinary sense, but is pseudo-polynomially solvable. A polynomial algorithm is also given for a special case of this problem. Our results indicate the differences between this problem and its counterpart under batch availability.
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Published date: 2001
Additional Information:
Institution of Incorporated Engineers
Organisations:
Operational Research
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Local EPrints ID: 29618
URI: http://eprints.soton.ac.uk/id/eprint/29618
ISSN: 0740-817X
PURE UUID: 8325feb4-e1d8-4944-8ec2-0d7b501df82d
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Date deposited: 12 May 2006
Last modified: 08 Jan 2022 03:52
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Author:
A.E. Gerodimos
Author:
C.A. Glass
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