Scheduling with sequence-dependent setup times in short-term production planning: A main path analysis-based review

• The first systematic review of scheduling with setup time supported by data analysis. • Knowledge diffusion trajectories of setup scheduling based on main path analysis. • Development patterns of setup scheduling based on cluster analysis. • Directions for future research in the field supported by an objective literature analysis. The role of setup times in production planning and control was recognised in the late 1960s. Since then, a growing number of scheduling problems have accounted for sequence-dependent setup time variables. This study aims to provide a systematic review of setup times in the short-term production planning literature, using an objective, algorithm-based approach. The Main Path Analysis (MPA) and Cluster Analysis (CA) methods are employed to identify patterns of knowledge development and the most significant advancements in the field. Over 2100 articles published between 1986 and 2024 were considered in the review. The seminal articles contributing to the advances in setup times for production scheduling are reviewed. Meanwhile, the core optimisation technologies, model characteristics, and emerging issues at different stages of literature development are discussed. The key extensions of the main path are further explored to identify secondary research interests in the field. Twenty-two research themes were identified to provide an overall perspective and shed light on the technical features and challenges. Finally, future research directions are suggested based on the outcomes of this systematic review.

Authors

Publication Details

Journal
Operations Research Perspectives
Published
2025-04-09
DOI
https://doi.org/10.1016/j.orp.2025.100340
Primary Topic
Scheduling and Optimization Algorithms
Type
article
Field-Weighted Citation Impact
0.00
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article

Scheduling with sequence-dependent setup times in short-term production planning: A main path analysis-based review

Pourya Pourhejazy, Kuo‐Ching Ying, Zhirong Lin
Operations Research Perspectives
Scheduling and Optimization Algorithms
article

Scheduling with sequence-dependent setup times in short-term production planning: A main path analysis-based review

Pourya Pourhejazy, Kuo‐Ching Ying, Zhirong Lin
article en

Abstract

• The first systematic review of scheduling with setup time supported by data analysis. • Knowledge diffusion trajectories of setup scheduling based on main path analysis. • Development patterns of setup scheduling based on cluster analysis. • Directions for future research in the field supported by an objective literature analysis. The role of setup times in production planning and control was recognised in the late 1960s. Since then, a growing number of scheduling problems have accounted for sequence-dependent setup time variables. This study aims to provide a systematic review of setup times in the short-term production planning literature, using an objective, algorithm-based approach. The Main Path Analysis (MPA) and Cluster Analysis (CA) methods are employed to identify patterns of knowledge development and the most significant advancements in the field. Over 2100 articles published between 1986 and 2024 were considered in the review. The seminal articles contributing to the advances in setup times for production scheduling are reviewed. Meanwhile, the core optimisation technologies, model characteristics, and emerging issues at different stages of literature development are discussed. The key extensions of the main path are further explored to identify secondary research interests in the field. Twenty-two research themes were identified to provide an overall perspective and shed light on the technical features and challenges. Finally, future research directions are suggested based on the outcomes of this systematic review.

Operations Research PerspectivesVol. 14
Openalex Percentile: Top 91%
Scheduling and Optimization Algorithms
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Scheduling with sequence-dependent setup times in short-term production planning: A main path analysis-based review — Pourya Pourhejazy, Kuo‐Ching Ying, et al. · Operations Research Perspectives (2025) | TGRS Research Map | TGRS