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Business, international

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Single machine scheduling subject to deadlines and resource dependent processing times

Article Abstract:

Single machine scheduling problems with the objective of minimizing the total weighted resource consumption under resource dependent processing times and precedence constraints were investigated. Specifically, it was shown that problems constrained by continuously divisible resource may be solved in O(n log n) time. In contrast, problems with discrete resource were shown to be NP-hard. To this end, end, a polynomial approximation procedure for solving general problems with discrete resource was developed.

Author: Janiak, Adam, Kovalyov, Mikhail Y.
Publisher: Elsevier B.V.
Publication Name: European Journal of Operational Research
Subject: Business, international
ISSN: 0377-2217
Year: 1996
Operations research, Research, Management science, Case studies, Resource allocation

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Simultaneous minimization of total completion time and total deviation of job completion times

Article Abstract:

A single-machine scheduling problem with the objective of minimizing a linear combination of total job completion times and total deviation of job completion times from a common due-date is discussed. A pseudo-polynomial dynamic programming algorithm, indicating that this case is NP-hard in the ordinary sense, performs extremely well when tested on high-multiplicity instances with up to 1000 jobs.

Author: Mosheiov, Gur
Publisher: Elsevier B.V.
Publication Name: European Journal of Operational Research
Subject: Business, international
ISSN: 0377-2217
Year: 2004
Usage, Algorithms, Algorithm

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Single machine batch scheduling with jointly compressible setup and processing times

Article Abstract:

The problem of a single machine batch scheduling is addressed. A batch is described as a set of jobs processed contiguously and completed together when the processing of all jobs in the batch is finished.

Author: Kovalyov, Mikhail Y., Ng, C. T. Daniel, Cheng, T. C. Edwin
Publisher: Elsevier B.V.
Publication Name: European Journal of Operational Research
Subject: Business, international
ISSN: 0377-2217
Year: 2004
Business Personnel Management, Human resource management

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Subjects list: Scheduling (Management), Evaluation, Machine theory
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