Scheduling problems on parallel dedicated machines with non-renewable resource

Abstract We study scheduling problems on parallel dedicated machines and assume that a specific job can only be processed on one specific machine. We concentrate on solving scheduling problems involving convex resource allocation and address three of the most fundamental measures in scheduling theory, i.e., makespan, total load, and total weighted completion time. Firstly, we focus on position-independent workloads, and then we study the setting of general position-dependent workloads , i.e., the workloads are not restricted to be either monotone functions of the job positions or any specific functions. In all problems, we assume a common continuous and non-renewable (limited) resource and adapt known results from scheduling theory to solve the considered problems.

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Publication Details

Journal
Annals of Operations Research
Published
2025-02-06
DOI
https://doi.org/10.1007/s10479-025-06471-5
Citations
3
Primary Topic
Scheduling and Optimization Algorithms
Type
article
Field-Weighted Citation Impact
3.73

Funders

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article

Scheduling problems on parallel dedicated machines with non-renewable resource

Joanna Berlińska, Baruch Mor
3 citations
Annals of Operations Research
Scheduling and Optimization Algorithms
3.73
article

Scheduling problems on parallel dedicated machines with non-renewable resource

Joanna Berlińska, Baruch Mor
article en
3 citations

Abstract

Abstract We study scheduling problems on parallel dedicated machines and assume that a specific job can only be processed on one specific machine. We concentrate on solving scheduling problems involving convex resource allocation and address three of the most fundamental measures in scheduling theory, i.e., makespan, total load, and total weighted completion time. Firstly, we focus on position-independent workloads, and then we study the setting of general position-dependent workloads , i.e., the workloads are not restricted to be either monotone functions of the job positions or any specific functions. In all problems, we assume a common continuous and non-renewable (limited) resource and adapt known results from scheduling theory to solve the considered problems.

Annals of Operations ResearchVol. 346(3)
Ariel University (IL), Adam Mickiewicz University in Poznań (PL)
Israel Science Foundation, Ariel University
Openalex Percentile: Top 8%
Scheduling and Optimization Algorithms
3.73
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