Fully polynomial time approximation scheme to maximize early work on parallel machines with common due date

Xin Chen, Yage Liang, Małgorzata Sterna, Wen Wang and Jacek Błażewicz

European Journal of Operational Research, 2020, vol. 284, issue 1, 67-74

Abstract: We study the scheduling problem on parallel identical machines in order to maximize the total early work, i.e. the parts of non-preemptive jobs executed before a common due date, and investigate mainly the model with a fixed number of machines, for which a dynamic programming approach and a fully polynomial time approximation scheme (FPTAS) are proposed. The proposal of these methods allowed us to establish the complexity and approximability status of this problem more exactly. Moreover, since our FPTAS can be also applied for the two-machine case, we improve considerably the result known in the literature for this model, in which a polynomial time approximation scheme (PTAS) was given. The new FPTAS has not only the best computational complexity, but also the much better approximation ratio than the PTAS. Finally, the theoretical studies are completed with computational experiments, performed for dynamic programming, PTAS and FPTAS, showing the high efficiencies of FPTAS both in terms of time consumption and solution quality.

Keywords: Scheduling; Parallel identical machines; Early work; Late work; Fully polynomial time approximation scheme (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:284:y:2020:i:1:p:67-74

DOI: 10.1016/j.ejor.2019.12.003

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