On the tractability of hard scheduling problems with generalized due-dates with respect to the number of different due-dates

Author:

Mosheiov Gur,Oron DanielORCID,Shabtay Dvir

Abstract

AbstractWe study two $$\mathcal {NP}$$ NP -hard single-machine scheduling problems with generalized due-dates. In such problems, due-dates are associated with positions in the job sequence rather than with jobs. Accordingly, the job that is assigned to position j in the job processing order (job sequence), is assigned with a predefined due-date, $$\delta _{j}$$ δ j . In the first problem, the objective consists of finding a job schedule that minimizes the maximal absolute lateness, while in the second problem, we aim to maximize the weighted number of jobs completed exactly at their due-date. Both problems are known to be strongly $$\mathcal {NP}$$ NP -hard when the instance includes an arbitrary number of different due-dates. Our objective is to study the tractability of both problems with respect to the number of different due-dates in the instance, $$\nu _{d}$$ ν d . We show that both problems remain $$ \mathcal {NP}$$ NP -hard even when $$\nu _{d}=2$$ ν d = 2 , and are solvable in pseudo-polynomial time when the value of $$\nu _{d}$$ ν d is upper bounded by a constant. To complement our results, we show that both problems are fixed parameterized tractable (FPT) when we combine the two parameters of number of different due-dates ($$\nu _{d}$$ ν d ) and number of different processing times ($$\nu _{p}$$ ν p ).

Funder

University of Sydney

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Management Science and Operations Research,General Engineering,Software

Reference19 articles.

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