The Multiresource Flexible Job-Shop Scheduling Problem with Early Resource Release

In this work, we study the multiresource flexible job-shop scheduling problem (MRFJSSP), which relaxes the standard “simultaneous occupation” policy described in the literature. This policy implies that a job operation starts only when all its assigned necessary resources are available and releases them simultaneously. In contrast, our approach assumes that a job operation begins simultaneously across all assigned resources, although these resources may not be occupied for the same duration. This variant (which we will call “early resource release”) was first formally proposed in the scheduling literature more than twenty years ago, but to the best of our knowledge, it has not been empirically tested. Thus, to tackle this problem, we formulate a constraint programming (CP) model adopting a multi-mode resource-constrained project scheduling problem (MMRCPSP) representation. We tested our approach on 65 instances of the MRFJSSP where the precedence relationships between operations of a given job follow a linear order. We prove optimality in 44 instances with an average optimality gap of 9.37%. Additionally, we contributed eight new lower bounds for the same set of instances in the literature when considering the simultaneous occupation policy.

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Publication Details

Journal
Mathematics
Published
2026-01-19
DOI
https://doi.org/10.3390/math14020338
Primary Topic
Resource-Constrained Project Scheduling
Type
article
Field-Weighted Citation Impact
0.00

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article

The Multiresource Flexible Job-Shop Scheduling Problem with Early Resource Release

Francisco Yuraszeck, Nicolás Cuneo, Maximiliano Rojel, Elizabeth Montero
Mathematics
Resource-Constrained Project Scheduling
article

The Multiresource Flexible Job-Shop Scheduling Problem with Early Resource Release

Francisco Yuraszeck, Nicolás Cuneo, Maximiliano Rojel, Elizabeth Montero
article en

Abstract

In this work, we study the multiresource flexible job-shop scheduling problem (MRFJSSP), which relaxes the standard “simultaneous occupation” policy described in the literature. This policy implies that a job operation starts only when all its assigned necessary resources are available and releases them simultaneously. In contrast, our approach assumes that a job operation begins simultaneously across all assigned resources, although these resources may not be occupied for the same duration. This variant (which we will call “early resource release”) was first formally proposed in the scheduling literature more than twenty years ago, but to the best of our knowledge, it has not been empirically tested. Thus, to tackle this problem, we formulate a constraint programming (CP) model adopting a multi-mode resource-constrained project scheduling problem (MMRCPSP) representation. We tested our approach on 65 instances of the MRFJSSP where the precedence relationships between operations of a given job follow a linear order. We prove optimality in 44 instances with an average optimality gap of 9.37%. Additionally, we contributed eight new lower bounds for the same set of instances in the literature when considering the simultaneous occupation policy.

MathematicsVol. 14(2)
Universidad Andrés Bello (CL), Federico Santa María Technical University (CL)
Universidad Andrés Bello
Decent work and economic growth
Openalex Percentile: Top 85%
Resource-Constrained Project Scheduling
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