LAPSE:2024.0570
Published Article
LAPSE:2024.0570
A Comprehensive Analysis of Sensitivity in Simulation Models for Enhanced System Understanding and Optimisation
June 5, 2024
Abstract
This article delves into sensitivity analysis within simulation models of real systems, focusing on the impact of variability in independent input factors (x) on dependent system outputs (y). It discusses linear and nonlinear regression to analyse and represent relationships between input factors and system responses. This study encompasses three sensitivity analysis areas: factor screening, local sensitivity analysis, and global sensitivity analysis, highlighting their roles in understanding the significance of factors in simulation models. The practical application of sensitivity analysis becomes clear through a case study in a manufacturing system. The case study utilises the Simio simulation system to investigate the impact of input factors on production lead time and work in process (WIP). The analysis uses regression to quantify the impact of seven factors, showcasing the most significant ones with tornado charts and emphasising the application of sensitivity analysis to optimise system responses.
This article delves into sensitivity analysis within simulation models of real systems, focusing on the impact of variability in independent input factors (x) on dependent system outputs (y). It discusses linear and nonlinear regression to analyse and represent relationships between input factors and system responses. This study encompasses three sensitivity analysis areas: factor screening, local sensitivity analysis, and global sensitivity analysis, highlighting their roles in understanding the significance of factors in simulation models. The practical application of sensitivity analysis becomes clear through a case study in a manufacturing system. The case study utilises the Simio simulation system to investigate the impact of input factors on production lead time and work in process (WIP). The analysis uses regression to quantify the impact of seven factors, showcasing the most significant ones with tornado charts and emphasising the application of sensitivity analysis to optimise system responses.
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Keywords
metamodelling, production system, regression analysis, sensitivity analysis, simulation models, system optimisation
Suggested Citation
Grznár P, Gregor M, Mozol Š, Mozolová L, Krump H, Mizerák M, Trojan J. A Comprehensive Analysis of Sensitivity in Simulation Models for Enhanced System Understanding and Optimisation. (2024). LAPSE:2024.0570
Author Affiliations
Grznár P: Department of Industrial Engineering, Faculty of Mechanical Engineering, University of Žilina, Univerzitná 8215/1, 010 26 Žilina, Slovakia [ORCID]
Gregor M: Department of Industrial Engineering, Faculty of Mechanical Engineering, University of Žilina, Univerzitná 8215/1, 010 26 Žilina, Slovakia
Mozol Š: Department of Industrial Engineering, Faculty of Mechanical Engineering, University of Žilina, Univerzitná 8215/1, 010 26 Žilina, Slovakia [ORCID]
Mozolová L: Department of Industrial Engineering, Faculty of Mechanical Engineering, University of Žilina, Univerzitná 8215/1, 010 26 Žilina, Slovakia
Krump H: Department of Plastics, Rubber and Fibers, Faculty of Chemical and Food Technology, Slovak University of Technology in Bratislava, Radlinského 9, 812 37 Bratislava, Slovakia
Mizerák M: Department of Industrial and Digital Engineering, Faculty of Mechanical Engineering, Technical University of Košice, Park Komenského 9, 040 01 Košice, Slovakia
Trojan J: Department of Industrial and Digital Engineering, Faculty of Mechanical Engineering, Technical University of Košice, Park Komenského 9, 040 01 Košice, Slovakia [ORCID]
Gregor M: Department of Industrial Engineering, Faculty of Mechanical Engineering, University of Žilina, Univerzitná 8215/1, 010 26 Žilina, Slovakia
Mozol Š: Department of Industrial Engineering, Faculty of Mechanical Engineering, University of Žilina, Univerzitná 8215/1, 010 26 Žilina, Slovakia [ORCID]
Mozolová L: Department of Industrial Engineering, Faculty of Mechanical Engineering, University of Žilina, Univerzitná 8215/1, 010 26 Žilina, Slovakia
Krump H: Department of Plastics, Rubber and Fibers, Faculty of Chemical and Food Technology, Slovak University of Technology in Bratislava, Radlinského 9, 812 37 Bratislava, Slovakia
Mizerák M: Department of Industrial and Digital Engineering, Faculty of Mechanical Engineering, Technical University of Košice, Park Komenského 9, 040 01 Košice, Slovakia
Trojan J: Department of Industrial and Digital Engineering, Faculty of Mechanical Engineering, Technical University of Košice, Park Komenského 9, 040 01 Košice, Slovakia [ORCID]
Journal Name
Processes
Volume
12
Issue
4
First Page
716
Year
2024
Publication Date
2024-04-01
ISSN
2227-9717
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Original Submission
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PII: pr12040716, Publication Type: Journal Article
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LAPSE:2024.0570
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https://doi.org/10.3390/pr12040716
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Jun 5, 2024
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