Simultaneous allocation of reliability & redundancy using simplex search
Here, the existing work in reliability apportionment and redundancy allocation is extended by considering a solution technique to a problem which requires finding the optimal level of subsystem reliability as well as an integer solution for the number of redundant subsystems. The solution technique...
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creator | Jacobson, D.W. Arora, S.R. |
description | Here, the existing work in reliability apportionment and redundancy allocation is extended by considering a solution technique to a problem which requires finding the optimal level of subsystem reliability as well as an integer solution for the number of redundant subsystems. The solution technique combines the simplex search method and a heuristic approach developed by Aggarwal (1975) for finding the optimal number of redundant subsystems. The implementation of the simplex search algorithm requires only two types of calculations: (1) generation of a regular simplex given a base point and appropriate scale factor; and (2) calculation of a reflected point. Aggarwal's heuristic approach for finding the optimal number of subsystems is based on the concept that a subsystem is added to the stage where its addition produces the greatest ratio of "increment increases in reliability" to the "product of increments increase in resources" usage. The proposed optimization procedure is demonstrated with two examples. The first example demonstrates the procedure while the second provides evidence of the flexibility of the procedure. |
doi_str_mv | 10.1109/RAMS.1996.500669 |
format | Conference Proceeding |
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The solution technique combines the simplex search method and a heuristic approach developed by Aggarwal (1975) for finding the optimal number of redundant subsystems. The implementation of the simplex search algorithm requires only two types of calculations: (1) generation of a regular simplex given a base point and appropriate scale factor; and (2) calculation of a reflected point. Aggarwal's heuristic approach for finding the optimal number of subsystems is based on the concept that a subsystem is added to the stage where its addition produces the greatest ratio of "increment increases in reliability" to the "product of increments increase in resources" usage. The proposed optimization procedure is demonstrated with two examples. 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The solution technique combines the simplex search method and a heuristic approach developed by Aggarwal (1975) for finding the optimal number of redundant subsystems. The implementation of the simplex search algorithm requires only two types of calculations: (1) generation of a regular simplex given a base point and appropriate scale factor; and (2) calculation of a reflected point. Aggarwal's heuristic approach for finding the optimal number of subsystems is based on the concept that a subsystem is added to the stage where its addition produces the greatest ratio of "increment increases in reliability" to the "product of increments increase in resources" usage. The proposed optimization procedure is demonstrated with two examples. The first example demonstrates the procedure while the second provides evidence of the flexibility of the procedure.</description><subject>Air traffic control</subject><subject>Cities and towns</subject><subject>Cost function</subject><subject>Jacobian matrices</subject><subject>Maintenance</subject><subject>Manufacturing</subject><subject>Optimization methods</subject><subject>Power system reliability</subject><subject>Redundancy</subject><subject>Search methods</subject><issn>0149-144X</issn><issn>2577-0993</issn><isbn>0780331125</isbn><isbn>9780780331129</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1996</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotkM1LwzAcQIMf4Da9i6ecvLX-fknTNMcx1AkTwSl4G_nUSNqOpgX33yvM0-Nd3uERco1QIoK6e10-b0tUqi4FQF2rEzJjQsoClOKnZA6yAc4RmTgjM8BKFVhVHxdknvM3AEhWw4yst7Gd0qg730-Z6pR6q8fYd7QPdPApahNTHA_09s_c1Dnd2QOdcuw-aY7tPvkfmr0e7NclOQ86ZX_1zwV5f7h_W62Lzcvj02q5KSJKNha1DyYwJkAqxxrtbACueSVM03hrFReu4aayJnDmvBYo0XijHQ8o6oAo-ILcHLvRe7_bD7HVw2F3HMB_AVN_TuY</recordid><startdate>1996</startdate><enddate>1996</enddate><creator>Jacobson, D.W.</creator><creator>Arora, S.R.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1996</creationdate><title>Simultaneous allocation of reliability & redundancy using simplex search</title><author>Jacobson, D.W. ; Arora, S.R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i172t-6efbf225079d28adcf03a345b88ecc935d83b4cbf32dea5171bebad3f156f1153</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1996</creationdate><topic>Air traffic control</topic><topic>Cities and towns</topic><topic>Cost function</topic><topic>Jacobian matrices</topic><topic>Maintenance</topic><topic>Manufacturing</topic><topic>Optimization methods</topic><topic>Power system reliability</topic><topic>Redundancy</topic><topic>Search methods</topic><toplevel>online_resources</toplevel><creatorcontrib>Jacobson, D.W.</creatorcontrib><creatorcontrib>Arora, S.R.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Jacobson, D.W.</au><au>Arora, S.R.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Simultaneous allocation of reliability & redundancy using simplex search</atitle><btitle>Proceedings of 1996 Annual Reliability and Maintainability Symposium</btitle><stitle>RAMS</stitle><date>1996</date><risdate>1996</risdate><spage>243</spage><epage>250</epage><pages>243-250</pages><issn>0149-144X</issn><eissn>2577-0993</eissn><isbn>0780331125</isbn><isbn>9780780331129</isbn><abstract>Here, the existing work in reliability apportionment and redundancy allocation is extended by considering a solution technique to a problem which requires finding the optimal level of subsystem reliability as well as an integer solution for the number of redundant subsystems. The solution technique combines the simplex search method and a heuristic approach developed by Aggarwal (1975) for finding the optimal number of redundant subsystems. The implementation of the simplex search algorithm requires only two types of calculations: (1) generation of a regular simplex given a base point and appropriate scale factor; and (2) calculation of a reflected point. Aggarwal's heuristic approach for finding the optimal number of subsystems is based on the concept that a subsystem is added to the stage where its addition produces the greatest ratio of "increment increases in reliability" to the "product of increments increase in resources" usage. The proposed optimization procedure is demonstrated with two examples. The first example demonstrates the procedure while the second provides evidence of the flexibility of the procedure.</abstract><pub>IEEE</pub><doi>10.1109/RAMS.1996.500669</doi><tpages>8</tpages></addata></record> |
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ispartof | Proceedings of 1996 Annual Reliability and Maintainability Symposium, 1996, p.243-250 |
issn | 0149-144X 2577-0993 |
language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Air traffic control Cities and towns Cost function Jacobian matrices Maintenance Manufacturing Optimization methods Power system reliability Redundancy Search methods |
title | Simultaneous allocation of reliability & redundancy using simplex search |
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