2025/12/5
Fatemeh Shaker

Fatemeh Shaker

Academic rank: Assistant Professor
ORCID: https://orcid.org/0000-0002-6487-3607
Education: PhD.
H-Index:
Faculty: Economic and Administrative Sciences
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E-mail: f-shaker [at] araku.ac.ir
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Research

Title
Simulating the corrective actions affecting system availability: a system dynamics approach
Type
JournalPaper
Keywords
Keywords System dynamics, Stock and flow diagram, Failure modes and effects analysis, Availability, Mean time between failures, Mean time to repai
Year
2024
Journal Journal of Modelling in Management
DOI
Researchers Fatemeh Shaker

Abstract

Abstract Purpose – This paper aims to simulate vital corrective actions (CAs) affecting system availability through a system dynamics approach based on the results obtained by analyzing the causal relationships among failure modes and effects analysis elements. Design/methodology/approach – A stock and flow diagram has been developed to simulate system behaviors during a timeframe. Some improvement scenarios regarding the most necessary CAs according to their strategic priority and the possibility of eliminating root causes of critical failure modes in a roller- transmission system have been simulated and analyzed to choose the most effective one(s) for the system availability. The proposed approach has been examined in a steel-manufacturing company. Findings – Results indicated the most effective CAs to remove or diminish critical failure causes that led to the less reliability of the system. It illustrated the impacts of the selected CAs on eliminating or decreasing root causes of the critical failure modes, lessening the system’s failure rate and increasing the system availability more effectively. Research limitations/implications – Results allow managers and decision-makers to consider different maintenance scenarios without wasting time and more cost, choosing the most appropriate option according to system conditions. Originality/value – This study innovation would be the dynamic analysis of interactions among failure modes, effects and causes over time to predict the system behavior and improve availability by choosing the most effective CAs through improvement scenario simulation via VENSIM software.