Optimal Hydrocarbon Piping Replacement Decisions Using the Markov Decision Process-Reference-Cited by-同舟云学术

Optimal Hydrocarbon Piping Replacement Decisions Using the Markov Decision Process

Published:2024-08 Issue:3 Volume:15 Page:
ISSN:1949-1190
Container-title:Journal of Pipeline Systems Engineering and Practice
language:en
Short-container-title:J. Pipeline Syst. Eng. Pract.

Author:

Asare Bediako Eric Kwaku¹,Xiang Yisha²,Alaswad Suzan³

Affiliation:

1. Dept. of Industrial, Manufacturing and Systems Engineering, Texas Tech Univ., Lubbock, TX 79409; Dept. of Reliability Engineering, Delek US Holdings, Big Spring, 8328 E. County Rd. 113, Midland, TX 79720 (corresponding author).

2. Dept. of Industrial Engineering, Cullen College of Engineering, Univ. of Houston, Engineering Building 2, Room E206, 4222 Martin Luther King Blvd., Houston, TX 77204.

3. Professor, College of Business, Zayed Univ., P.O. Box 144534, Abu Dhabi, United Arab Emirates.

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JPSEA2.PSENG-1515

Reference33 articles.

1. A risk-based approach to determination of optimal inspection intervals for buried oil pipelines

2. A review on condition-based maintenance optimization models for stochastically deteriorating system

3. Amari S. V. L. McLaughlin and H. Pham. 2006. “Cost-effective condition-based maintenance using Markov decision processes.” In Proc. Annual Reliability and Maintainability Symp. 464–469. New York: IEEE.https://doi.org/10.1109/RAMS.2006.1677417.

4. Bediako E. Y. Xiang S. Alaswad and Z. Tian. 2020. “Optimal maintenance policies for degrading hydrocarbon pipelines using Markov decision process.” In Proc. 2020 Asia-Pacific Int. Symp. on Advanced Reliability and Maintenance Modeling (APARM) 1–4. New York: IEEE. https://doi.org/10.1109/APARM49247.2020.9209419.

5. Season-Dependent Condition-Based Maintenance for a Wind Turbine Using a Partially Observed Markov Decision Process