DOAJ Open Access 2025

Scheduling Jobs on Unreliable Machines Subject to Linear Risk

Alessandro Agnetis Ilaria Salvadori

Abstrak

<i>Background</i>: This paper addresses a new class of scheduling problems in the context of machines subject to (unrecoverable) interruptions; i.e., when a machine fails, the current and subsequently scheduled work on that machine is lost. Each job has a certain processing time and a reward that is attained if the job is successfully completed. <i>Methods</i>: For the failure process, we considered the linear risk model, according to which the probability of machine failure is uniform across a certain time horizon. <i>Results</i>: We analyzed both the situation in which the set of jobs is given, and that in which jobs must be selected from a pool of jobs, at a certain selection cost. <i>Conclusions</i>: We characterized the complexity of various problems, showing both hardness results and polynomial algorithms, and pointed out some open problems.

Penulis (2)

A

Alessandro Agnetis

I

Ilaria Salvadori

Format Sitasi

Agnetis, A., Salvadori, I. (2025). Scheduling Jobs on Unreliable Machines Subject to Linear Risk. https://doi.org/10.3390/logistics9040157

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Informasi Jurnal
Tahun Terbit
2025
Sumber Database
DOAJ
DOI
10.3390/logistics9040157
Akses
Open Access ✓