What does this research mean for the field?

A unified computational framework integrating Markov chain modeling, decision optimization, and cost-benefit analysis provides a practical tool for optimizing life-cycle management and maintenance policies of infrastructure assets. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

This research aims to develop a framework for optimizing life-cycle maintenance policies using Markov chain modeling and cost–benefit analysis.

July 29, 2026SustainabilityOpen Access

A Consistent Markov Chain-Based Framework for Life-Cycle Optimization and Cost–Benefit Evaluation of Infrastructure Maintenance Policies

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Authors

AZArtur Zbiciak DWDariusz Walasek ANAleksander Nicał

Discussion

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Overview

Randomized trial assesses maintenance policies' impact on infrastructure management, suggesting optimal strategies.

Key Points

This research aims to develop a framework for optimizing life-cycle maintenance policies using Markov chain modeling and cost–benefit analysis.
Developed a Markov decision process framework for maintenance decisions.
Integrated deterioration models with economic evaluations through linear programming.
Implemented both discrete-time and continuous-time models for analysis.
Achieved optimal decision rules for maintenance actions under state-dependent policies.
Produced economic indicators including net present value and benefit–cost ratios.
Demonstrated differences in long-run state shares between discrete and continuous-time models.

Cite This Study

Zbiciak et al. (2026) studied this question.

synapsesocial.com/papers/6a69a2fcc8da07d9defa71b1 https://doi.org/10.3390/su18157611

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July 29, 2026SustainabilityOpen Access

A Consistent Markov Chain-Based Framework for Life-Cycle Optimization and Cost–Benefit Evaluation of Infrastructure Maintenance Policies

View Full Paper

Ask AI

Bookmark

Authors

AZArtur Zbiciak DWDariusz Walasek ANAleksander Nicał

Discussion

Member takes

Overview

Randomized trial assesses maintenance policies' impact on infrastructure management, suggesting optimal strategies.

Key Points

This research aims to develop a framework for optimizing life-cycle maintenance policies using Markov chain modeling and cost–benefit analysis.
Developed a Markov decision process framework for maintenance decisions.
Integrated deterioration models with economic evaluations through linear programming.
Implemented both discrete-time and continuous-time models for analysis.
Achieved optimal decision rules for maintenance actions under state-dependent policies.
Produced economic indicators including net present value and benefit–cost ratios.
Demonstrated differences in long-run state shares between discrete and continuous-time models.

Cite This Study

Zbiciak et al. (2026) studied this question.

synapsesocial.com/papers/6a69a2fcc8da07d9defa71b1 https://doi.org/10.3390/su18157611

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