Multi-objective optimization for k-out-of-n redundancy allocation problem

Conference proceedings article

ผู้เขียน/บรรณาธิการ

กลุ่มสาขาการวิจัยเชิงกลยุทธ์

ไม่พบข้อมูลที่เกี่ยวข้อง

รายละเอียดสำหรับงานพิมพ์

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

ผู้เผยแพร่: Hindawi

ปีที่เผยแพร่ (ค.ศ.): 2012

หน้าแรก: 1050

หน้าสุดท้าย: 1054

จำนวนหน้า: 5

ISBN: 9781467307888

นอก: 0146-9428

eISSN: 1745-4557

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84866612156&doi=10.1109%2fICQR2MSE.2012.6246402&partnerID=40&md5=3e0743a2c35daf6697c4e7f48ce9c006

ภาษา: English-Great Britain (EN-GB)

ดูบนเว็บไซต์ของสำนักพิมพ์

บทคัดย่อ

The multi-objective optimization for k-out-of-n redundancy allocation problem with multiple k-out-of-n subsystems connected in series considering k impacts the cost function is presented. The design objective is to select multiple components for a subsystem to maximize system reliability and minimize system cost while satisfying system requirement constraints. Mixing of non-identical component types is allowed in each subsystem as well as at system level. In the design process, component selection and k value are considered as decision variables for each subsystem. In practice, different values of k and component selection provided different design choices. In this paper, k impacts the cost function. To reduce the system design cost, multiple low-cost components may be preferred, because they are cheaper than a highly reliable component that has unaffordable cost. In this case, k > 1 is considered, when multiple low-cost components are required to function in a subsystem. The approach is demonstrated on a test problem with interesting results. A Genetic algorithm is effectively applied to solve the multi-objective optimization problem. ฉ 2012 IEEE.

คำสำคัญ

k-outof-n redundancy, weighted sum