Investigating the combined effect of redundancy allocation and stochastic dependency in condition-based maintenance model in series-parallel systems considering load sharing

Nasersarraf, Saba; Asadzadeh, Shervin; Samimi, Yaser

doi:10.48313/jqem.2024.218910

Investigating the combined effect of redundancy allocation and stochastic dependency in condition-based maintenance model in series-parallel systems considering load sharing

Document Type : Original Article

Authors

Saba Nasersarraf ¹

Shervin Asadzadeh ¹

Yaser Samimi ²

¹ Department of Industrial Engineering, North Tehran Branch, Islamic Azad University, Tehran, Iran.

² Department of Industrial Engineering, Khajeh Nasiruddin Toosi University of Technology, Tehran, Iran.

https://doi.org/10.48313/jqem.2024.218910

Abstract

Purpose: This paper presents an innovative model for the simultaneous optimization of redundancy allocation and condition-based maintenance in series-parallel load-sharing systems. The primary objective of the model is to determine the optimal level of redundancy so that costs are minimized while system reliability constraints are met.
Methodology: In this research, stochastic dependencies between system components are considered using the proportional hazards model and tempered failure rates to assess reliability accurately. Additionally, transition probability matrices are used to determine the optimal maintenance limits for each subsystem, and periodic inspections are performed. The proposed model is solved using MATLAB, and its performance is evaluated under four different scenarios: 1) a baseline model without redundancy or stochastic dependencies, 2) redundancy allocation without stochastic dependencies, 3) stochastic dependencies without redundancy, and 4) the proposed model.
Findings: The results show that the proposed model achieves an optimal balance between cost and reliability, reducing both failure and maintenance costs. Compared to the various scenarios, the proposed model demonstrates superior performance in optimizing costs and enhancing reliability. The findings also emphasize the importance of simultaneously considering stochastic dependencies and redundancy allocation to improve system performance.
Originality/Value: This research introduces a novel approach by simultaneously considering stochastic dependencies and redundancy allocation in series-parallel load-sharing systems. The proposed model significantly improves system performance and reduces failure and maintenance costs. It underscores the importance of integrating these two factors in optimizing complex engineering systems.

Keywords

Redundancy allocation

Condition-based maintenance

Series-parallel system

Reliability

Proportional hazards model

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