System redundancy optimization with uncertain stress-based component reliability: Minimization of regret

บทความในวารสาร

ผู้เขียน/บรรณาธิการ

กลุ่มสาขาการวิจัยเชิงกลยุทธ์

ไม่พบข้อมูลที่เกี่ยวข้อง

รายละเอียดสำหรับงานพิมพ์

รายชื่อผู้แต่ง: Chatwattanasiri N., Coit D.W., Wattanapongsakorn N.

ผู้เผยแพร่: Elsevier

ปีที่เผยแพร่ (ค.ศ.): 2016

วารสาร: Reliability Engineering & System Safety (0951-8320)

Volume number: 154

หน้าแรก: 73

หน้าสุดท้าย: 83

จำนวนหน้า: 11

นอก: 0951-8320

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84976596584&doi=10.1016%2fj.ress.2016.05.011&partnerID=40&md5=db73fc5414be36112bd9f1cbc36a7211

ภาษา: English-Great Britain (EN-GB)

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บทคัดย่อ

System reliability design optimization models have been developed for systems exposed to changing and diverse stress and usage conditions. Uncertainty is addressed through defining a future operating environment where component stresses have shifted or changed for different future usage scenarios. Due to unplanned variations or changing environments and operating stresses, component and system reliability often cannot be predicted or estimated without uncertainty. Component reliability can vary due to a relative increase/decrease of stresses or operating conditions. The uncertain parameters of stresses have been incorporated directly into the new decision-making model. Risk analysis perspectives, including risk-neutral and risk-averse, are considered as system reliability objective functions. A regret function is defined, and minimization of the maximum regret provides an objective function based on random future usage stresses. This is an entirely new formulation of the redundancy allocation problem, but it is a relevant one for some problem domains. The redundancy allocation problem is solved to select the best design solution when there are multiple choices of components and system-level constraints. Nonlinear programming and a neighborhood search heuristic method are recommended to obtain the integer solutions for risk-based formulations. ฉ 2016 Elsevier Ltd

คำสำคัญ

Decision-making with uncertainty, Future usage stress, Regret