MILP Models for Complex System Reliability Redundancy Allocation with Mixed Components Park, Young-Woong Park, Young-Woong
dc.contributor.department Information Systems and Business Analytics 2021-05-04T11:57:36.000 2021-08-14T18:12:01Z 2021-08-14T18:12:01Z Wed Jan 01 00:00:00 UTC 2020 2021-05-04 2020-01-08
dc.description.abstract <p>The redundancy allocation problem (RAP) aims to find an optimal allocation of redundant components subject to resource constraints. In this paper, mixed integer linear programming (MILP) models and MILP-based algorithms are proposed for complex system reliability redundancy allocation problem with mixed components, where the system have bridges or interconnecting subsystems and each subsystem can have mixed types of components. Unlike the other algorithms in the literature, the proposed MILP models view the problem from a different point of view and approximate the nonconvex nonlinear system reliability function of a complex system using random samples. The solution to the MILP converges to the optimal solution of the original problem as sample size increases. In addition, data aggregation-based algorithms are proposed to improve the solution time and quality based on the proposed MILP models. A computational experiment shows that the proposed models and algorithms converge to the optimal or best-known solution as sample size increases. The proposed algorithms outperform popular metaheuristic algorithms in the literature.</p>
dc.description.comments <p>This accepted article is published as Young Woong Park MILP Models for Complex System Reliability Redundancy Allocation with Mixed Components.<em> INFORMS Journal on Computing</em> Jan 8 2020 32(3);600-619 doi:<a target="_blank">10.1287/ijoc.2019.0895</a>. Posted with permission.</p>
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dc.identifier archive/
dc.identifier.articleid 1004
dc.identifier.contextkey 22777879
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath isba_pubs/6
dc.source.bitstream archive/|||Sat Jan 15 01:13:36 UTC 2022
dc.subject.disciplines Business Administration, Management, and Operations
dc.subject.disciplines Business Analytics
dc.subject.disciplines Business Law, Public Responsibility, and Ethics
dc.subject.disciplines Management Information Systems
dc.subject.keywords integer programming
dc.subject.keywords reliability redundancy allocation
dc.subject.keywords data aggregation
dc.subject.keywords aggregate and iterative disaggregate
dc.title MILP Models for Complex System Reliability Redundancy Allocation with Mixed Components
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication 401090a0-a926-4926-87ea-dc3aea9919d8
relation.isOrgUnitOfPublication 0099bcd5-3121-4f25-813d-0ec68d96243f
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