Multi-scenario scheduling to maximise the weighted number of just-in-time jobs

• Published in: The Journal of the Operational Research Society 2021-08, Vol.72 (8), p.1762-1779
• Main Authors: Gilenson, Miri, Shabtay, Dvir
• Format: Article
• Language: English
• Subjects: flow-shop scheduling; hard; just-in-time scheduling; multi-scenario scheduling; Single-machine scheduling
• ISSN: 0160-5682; 1476-9360
• DOI: 10.1080/01605682.2019.1578628

We study a multi-scenario scheduling problem on a single-machine and a two-machine flow-shop system. The criterion is to maximise the weighted number of just-in-time jobs. We first analyze the case where only processing times are scenario-dependent. For this case, we prove that the single-machine problem is solvable in polynomial time. We also prove that the unit weight two-machine flow-shop problem is solvable in polynomial time if processing times are scenario-dependent only on the second machine, and is ordinary -hard when processing times are scenario-dependent only on the first machine. This ordinary -hard result holds as long as the number of scenarios is fixed. Otherwise, the problem becomes strongly -hard. We then analyze the case where only weights are scenario-dependent. We adopt a multi-criteria approach and define several problem variations. We prove that one of them is polynomial solvable on a single machine and ordinary -hard in a two-machine flow-shop system. We also prove that all other problem variations are ordinary -hard even if there are only two scenarios, and are strongly -hard when the number of scenarios is arbitrary. Finally, we provide two pseudo-polynomial time algorithms for solving all the hard problems when the number of scenarios is fixed.