Zusammenfassung
Im Beitrag wird die Kompliziertheit der Scheduling-Probleme in job-shop-, flow-shop- und mixed-shop-Bedienungssystemen zusammenfassend dargestellt, wenn die Anzahl der Aufträge n kleiner oder gleich der Anzahl der Maschinen m ist. Fast alle Scheduling-Aufgaben mit zwei Aufträgen können in Polynomialzeit für beliebiges reguläres Kriterium gelöst werden, aber diese Aufgaben mit drei Aufträgen sind binär NP-hard. Die Ausnahme bilden die Aufgabe mit zwei Aufträgen im m-Maschinen mixed-shop-System ohne Unterbrechung der Operationen, die binär NP-hard für beliebiges nichttriviales reguläres Kriterium ist sowie die Aufgabe mit n-Aufträgen im m-Maschinen open-shop-System mit Unterbrechung der Operationen, die polynomial lösbar für die Minimierung der Gesamtbearbeitungszeit ist.
Summary
The paper surveys the complexity of job-shop, flow-shop, open-shop and mixed-shop scheduling problems when the number of jobs n is less or equal to the number of machines m. Almost all shop-scheduling problems with two jobs can be solved in polynomial time for any given regular criterion, but those with three jobs are binary NP-hard. The exceptions are the two job m machine mixed-shop problem without operation preemptions, which is binary NP-hard for any non-trivial regular criterion, and the n job m machine open-shop problem with allowed operation preemptions, which is polynomially solvable for minimizing makespan.
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Sotskov, Y.N. (1995). Two, Three, Many or the Complexity of Scheduling with Fixed Number of Jobs. In: Derigs, U., Bachem, A., Drexl, A. (eds) Operations Research Proceedings 1994. Operations Research Proceedings, vol 1994. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-79459-9_31
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