Resource pooling in the presence of failures: Efficiency versus risk
•Pooling resources is not necessarily wise in the presence of failures.•Unlike reliable systems, changes aimed at improving efficiency in unreliable systems may increase risk and vice versa.•Unlike reliable systems, more pooling is not necessarily better than less pooling in unreliable systems.•One...
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Veröffentlicht in: | European journal of operational research 2017-01, Vol.256 (1), p.230-241 |
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creator | Andradóttir, Sigrún Ayhan, Hayriye Down, Douglas G. |
description | •Pooling resources is not necessarily wise in the presence of failures.•Unlike reliable systems, changes aimed at improving efficiency in unreliable systems may increase risk and vice versa.•Unlike reliable systems, more pooling is not necessarily better than less pooling in unreliable systems.•One should use caution when making resource pooling decisions for unreliable systems.
This paper studies the effects of resource pooling on system performance in the presence of failures. The goal is to understand whether pooling increases efficiency and/or reduces risk. We consider four queueing systems with different degrees of pooling (one has no pooling, one has only queues pooled, one has queues and failures pooled, and one has servers pooled), estimate efficiency via the mean number of customers in each system, and assess risk via the probability that there are many customers in each system. Our results show that when servers are subject to failures, pooling queues is always beneficial, whereas pooling both queues and servers improves efficiency but also increases risk. Thus, there is a tradeoff between efficiency and risk in the presence of failures. These conclusions are different from reliable systems where pooling simultaneously improves efficiency and reduces risk and more pooling is better than less pooling (e.g., pooling queues and servers is better than pooling queues only). Thus, insights about resource pooling obtained from studying reliable systems should be used with caution in the presence of failures. |
doi_str_mv | 10.1016/j.ejor.2016.05.009 |
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This paper studies the effects of resource pooling on system performance in the presence of failures. The goal is to understand whether pooling increases efficiency and/or reduces risk. We consider four queueing systems with different degrees of pooling (one has no pooling, one has only queues pooled, one has queues and failures pooled, and one has servers pooled), estimate efficiency via the mean number of customers in each system, and assess risk via the probability that there are many customers in each system. Our results show that when servers are subject to failures, pooling queues is always beneficial, whereas pooling both queues and servers improves efficiency but also increases risk. Thus, there is a tradeoff between efficiency and risk in the presence of failures. These conclusions are different from reliable systems where pooling simultaneously improves efficiency and reduces risk and more pooling is better than less pooling (e.g., pooling queues and servers is better than pooling queues only). Thus, insights about resource pooling obtained from studying reliable systems should be used with caution in the presence of failures.</description><identifier>ISSN: 0377-2217</identifier><identifier>EISSN: 1872-6860</identifier><identifier>DOI: 10.1016/j.ejor.2016.05.009</identifier><identifier>CODEN: EJORDT</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Customer services ; Efficiency ; Mean system size ; Pooling ; Queuing theory ; Resource management ; Risk management ; Stochastic ordering ; Studies ; Tail asymptotics ; Tradeoff analysis ; Unreliable servers</subject><ispartof>European journal of operational research, 2017-01, Vol.256 (1), p.230-241</ispartof><rights>2016 Elsevier B.V.</rights><rights>Copyright Elsevier Sequoia S.A. Jan 1, 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c453t-e6d947868e9b6fcb54d9d0c305e0bea7fbbffce6fa258c5d69eeae1516802b163</citedby><cites>FETCH-LOGICAL-c453t-e6d947868e9b6fcb54d9d0c305e0bea7fbbffce6fa258c5d69eeae1516802b163</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0377221716303290$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Andradóttir, Sigrún</creatorcontrib><creatorcontrib>Ayhan, Hayriye</creatorcontrib><creatorcontrib>Down, Douglas G.</creatorcontrib><title>Resource pooling in the presence of failures: Efficiency versus risk</title><title>European journal of operational research</title><description>•Pooling resources is not necessarily wise in the presence of failures.•Unlike reliable systems, changes aimed at improving efficiency in unreliable systems may increase risk and vice versa.•Unlike reliable systems, more pooling is not necessarily better than less pooling in unreliable systems.•One should use caution when making resource pooling decisions for unreliable systems.
This paper studies the effects of resource pooling on system performance in the presence of failures. The goal is to understand whether pooling increases efficiency and/or reduces risk. We consider four queueing systems with different degrees of pooling (one has no pooling, one has only queues pooled, one has queues and failures pooled, and one has servers pooled), estimate efficiency via the mean number of customers in each system, and assess risk via the probability that there are many customers in each system. Our results show that when servers are subject to failures, pooling queues is always beneficial, whereas pooling both queues and servers improves efficiency but also increases risk. Thus, there is a tradeoff between efficiency and risk in the presence of failures. These conclusions are different from reliable systems where pooling simultaneously improves efficiency and reduces risk and more pooling is better than less pooling (e.g., pooling queues and servers is better than pooling queues only). Thus, insights about resource pooling obtained from studying reliable systems should be used with caution in the presence of failures.</description><subject>Customer services</subject><subject>Efficiency</subject><subject>Mean system size</subject><subject>Pooling</subject><subject>Queuing theory</subject><subject>Resource management</subject><subject>Risk management</subject><subject>Stochastic ordering</subject><subject>Studies</subject><subject>Tail asymptotics</subject><subject>Tradeoff analysis</subject><subject>Unreliable servers</subject><issn>0377-2217</issn><issn>1872-6860</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp9UMtOwzAQtBBIlMIPcIrEOWHtxI8gLgjKQ6qEhOBsJc4aHEpc7KRS_x6Xcua0u6OZ3dkh5JxCQYGKy77A3oeCpb4AXgDUB2RGlWS5UAIOyQxKKXPGqDwmJzH2AEA55TNy94LRT8FgtvZ-5Yb3zA3Z-JHGgBGHhHub2catpjRfZQtrnXEJ32YbDHGKWXDx85Qc2WYV8eyvzsnb_eL19jFfPj883d4sc1PxcsxRdHUllVBYt8Kalldd3YEpgSO02EjbttYaFLZhXBneiRqxweRTKGAtFeWcXOz3roP_njCOuk_eh3RSU8UoSFoJnlhszzLBxxjQ6nVwX03Yagp6l5bu9S4tvUtLA9cprSS63osw-d84DDr-_omdC2hG3Xn3n_wHS4Fz6g</recordid><startdate>20170101</startdate><enddate>20170101</enddate><creator>Andradóttir, Sigrún</creator><creator>Ayhan, Hayriye</creator><creator>Down, Douglas G.</creator><general>Elsevier B.V</general><general>Elsevier Sequoia S.A</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20170101</creationdate><title>Resource pooling in the presence of failures: Efficiency versus risk</title><author>Andradóttir, Sigrún ; Ayhan, Hayriye ; Down, Douglas G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c453t-e6d947868e9b6fcb54d9d0c305e0bea7fbbffce6fa258c5d69eeae1516802b163</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Customer services</topic><topic>Efficiency</topic><topic>Mean system size</topic><topic>Pooling</topic><topic>Queuing theory</topic><topic>Resource management</topic><topic>Risk management</topic><topic>Stochastic ordering</topic><topic>Studies</topic><topic>Tail asymptotics</topic><topic>Tradeoff analysis</topic><topic>Unreliable servers</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Andradóttir, Sigrún</creatorcontrib><creatorcontrib>Ayhan, Hayriye</creatorcontrib><creatorcontrib>Down, Douglas G.</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>European journal of operational research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Andradóttir, Sigrún</au><au>Ayhan, Hayriye</au><au>Down, Douglas G.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Resource pooling in the presence of failures: Efficiency versus risk</atitle><jtitle>European journal of operational research</jtitle><date>2017-01-01</date><risdate>2017</risdate><volume>256</volume><issue>1</issue><spage>230</spage><epage>241</epage><pages>230-241</pages><issn>0377-2217</issn><eissn>1872-6860</eissn><coden>EJORDT</coden><abstract>•Pooling resources is not necessarily wise in the presence of failures.•Unlike reliable systems, changes aimed at improving efficiency in unreliable systems may increase risk and vice versa.•Unlike reliable systems, more pooling is not necessarily better than less pooling in unreliable systems.•One should use caution when making resource pooling decisions for unreliable systems.
This paper studies the effects of resource pooling on system performance in the presence of failures. The goal is to understand whether pooling increases efficiency and/or reduces risk. We consider four queueing systems with different degrees of pooling (one has no pooling, one has only queues pooled, one has queues and failures pooled, and one has servers pooled), estimate efficiency via the mean number of customers in each system, and assess risk via the probability that there are many customers in each system. Our results show that when servers are subject to failures, pooling queues is always beneficial, whereas pooling both queues and servers improves efficiency but also increases risk. Thus, there is a tradeoff between efficiency and risk in the presence of failures. These conclusions are different from reliable systems where pooling simultaneously improves efficiency and reduces risk and more pooling is better than less pooling (e.g., pooling queues and servers is better than pooling queues only). Thus, insights about resource pooling obtained from studying reliable systems should be used with caution in the presence of failures.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/j.ejor.2016.05.009</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Customer services Efficiency Mean system size Pooling Queuing theory Resource management Risk management Stochastic ordering Studies Tail asymptotics Tradeoff analysis Unreliable servers |
title | Resource pooling in the presence of failures: Efficiency versus risk |
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