Task Elimination may Actually Increase Throughput Time
The well-known Task Elimination redesign principle suggests to remove unnecessary tasks from a process to improve on time and cost. Although there seems to be a general consensus that removing work can only improve the throughput time of the process, this paper shows that this is not necessarily the...
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creator | Schunselaar, D. M. M Verbeek, H. M. W |
description | The well-known Task Elimination redesign principle suggests to remove
unnecessary tasks from a process to improve on time and cost. Although there
seems to be a general consensus that removing work can only improve the
throughput time of the process, this paper shows that this is not necessarily
the case by providing an example that uses plain M/M/c activities. This paper
also shows that the Task Automation and Parallelism redesign principles may
also lead to longer throughput times. Finally, apart from these negative
results, the paper also show under which assumption these redesign principles
indeed can only improve the throughput time. |
doi_str_mv | 10.48550/arxiv.1812.11793 |
format | Article |
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unnecessary tasks from a process to improve on time and cost. Although there
seems to be a general consensus that removing work can only improve the
throughput time of the process, this paper shows that this is not necessarily
the case by providing an example that uses plain M/M/c activities. This paper
also shows that the Task Automation and Parallelism redesign principles may
also lead to longer throughput times. Finally, apart from these negative
results, the paper also show under which assumption these redesign principles
indeed can only improve the throughput time.</description><identifier>DOI: 10.48550/arxiv.1812.11793</identifier><language>eng</language><subject>Computer Science - Distributed, Parallel, and Cluster Computing</subject><creationdate>2018-12</creationdate><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,776,881</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/1812.11793$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.1812.11793$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Schunselaar, D. M. M</creatorcontrib><creatorcontrib>Verbeek, H. M. W</creatorcontrib><title>Task Elimination may Actually Increase Throughput Time</title><description>The well-known Task Elimination redesign principle suggests to remove
unnecessary tasks from a process to improve on time and cost. Although there
seems to be a general consensus that removing work can only improve the
throughput time of the process, this paper shows that this is not necessarily
the case by providing an example that uses plain M/M/c activities. This paper
also shows that the Task Automation and Parallelism redesign principles may
also lead to longer throughput times. Finally, apart from these negative
results, the paper also show under which assumption these redesign principles
indeed can only improve the throughput time.</description><subject>Computer Science - Distributed, Parallel, and Cluster Computing</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotzsGOgjAUQNFuZmEcP8CV_QEYyqMtXRrjqAmJC9mTZ-0bmwE0BSbD3xvR1d3dHMaWIomzXMrkC8O__4tFLtJYCG1gxlSJ3S_f1r7xLfb-1vIGR762_YB1PfJDa4PDzvHyGm7Dz_U-9Lz0jftkH4R15xbvztnpe1tu9lFx3B026yJCpSHSSjoDmXHCZoYupKwiaYiEtELmkkipc-JcctYpGDRgSOeXFCDVCiUBzNnqdZ3c1T34BsNYPf3V5IcHshs_oQ</recordid><startdate>20181228</startdate><enddate>20181228</enddate><creator>Schunselaar, D. M. M</creator><creator>Verbeek, H. M. W</creator><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20181228</creationdate><title>Task Elimination may Actually Increase Throughput Time</title><author>Schunselaar, D. M. M ; Verbeek, H. M. W</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a673-765e9349e1c49fdf6c6f59ff15c1585ff66b0ee0b7239a939f78d233276a5f33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Computer Science - Distributed, Parallel, and Cluster Computing</topic><toplevel>online_resources</toplevel><creatorcontrib>Schunselaar, D. M. M</creatorcontrib><creatorcontrib>Verbeek, H. M. W</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Schunselaar, D. M. M</au><au>Verbeek, H. M. W</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Task Elimination may Actually Increase Throughput Time</atitle><date>2018-12-28</date><risdate>2018</risdate><abstract>The well-known Task Elimination redesign principle suggests to remove
unnecessary tasks from a process to improve on time and cost. Although there
seems to be a general consensus that removing work can only improve the
throughput time of the process, this paper shows that this is not necessarily
the case by providing an example that uses plain M/M/c activities. This paper
also shows that the Task Automation and Parallelism redesign principles may
also lead to longer throughput times. Finally, apart from these negative
results, the paper also show under which assumption these redesign principles
indeed can only improve the throughput time.</abstract><doi>10.48550/arxiv.1812.11793</doi><oa>free_for_read</oa></addata></record> |
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subjects | Computer Science - Distributed, Parallel, and Cluster Computing |
title | Task Elimination may Actually Increase Throughput Time |
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