Approximation schemes for parallel machine scheduling with non-renewable resources
Györgyi, Péter and Kis, Tamás (2017) Approximation schemes for parallel machine scheduling with non-renewable resources. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 258 (1). pp. 113-123. ISSN 0377-2217 10.1016/j.ejor.2016.09.007
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Abstract
In this paper the approximability of parallel machine scheduling problems with resource consuming jobs is studied. In these problems, in addition to a parallel machine environment, there are non-renewable resources, like raw materials, energy, or money, consumed by the jobs. Each resource has an initial stock, and some additional supplies at a-priori known moments in time and in known quantities. The schedules must respect the resource constraints as well. The optimization objective is either the makespan, or the maximum lateness. Polynomial time approximation schemes are provided under various assumptions, and it is shown that the makespan minimization problem is APX-complete if the number of machines is part of the input even if there are only two resources. © 2016 Elsevier B.V.
Item Type: | Article |
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Uncontrolled Keywords: | Polynomial approximation; Resource Constraint; Polynomial time approximation schemes; Parallel machine-scheduling problems; Parallel machine scheduling; Parallel machine; Non-renewable resource; Makespan minimization; Approximation scheme; MACHINERY; Approximation theory; Scheduling; parallel machines; non-renewable resources; approximation schemes; SUBJECT; COMPLEXITY; Algorithms; Approximability; CONSUMING JOBS; FINANCIAL CONSTRAINTS; INVENTORY CONSTRAINTS; Approximation schemes |
Subjects: | Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány |
Divisions: | Research Laboratory on Engineering & Management Intelligence |
SWORD Depositor: | MTMT Injector |
Depositing User: | MTMT Injector |
Date Deposited: | 21 Dec 2017 08:09 |
Last Modified: | 21 Jul 2019 13:50 |
URI: | https://eprints.sztaki.hu/id/eprint/9279 |
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