Analysis of the Influence of Standard Time Variability on the Reliability of the Simulation of Assembly Operations in Manufacturing Systems
Objective: The aim of this article is to analyze the influence of the variability of the standard time in the simulation of the assembly operations of manufacturing systems. Background: Discrete event simulation (DES) has been used to provide efficient analysis during the design of a process or scen...
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| Veröffentlicht in: | Human factors 2019-06, Vol.61 (4), p.627-641 |
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| creator | Machado, Rafaela Heloisa Carvalho Helleno, André Luis de Oliveira, Maria Célia Santos, Mário Sérgio Corrêa dos Dias, Renan Meireles da Costa |
| description | Objective:
The aim of this article is to analyze the influence of the variability of the standard time in the simulation of the assembly operations of manufacturing systems.
Background:
Discrete event simulation (DES) has been used to provide efficient analysis during the design of a process or scenario. However, the modeling activities of new configurations face the problem of data availability and reliability when it comes to seeking standard times that are effective in representing the actual process under analysis, especially when the process cannot be monitored.
Method:
The methods-time measurement (MTM) is used as a source of standard times for simulation. Assembly activities were performed at a Learning Factory facility, which provided the necessary structure for simulating real production processes. Simulation performances using different variability of standard times were analyzed to define the impact of data characteristics.
Results:
The MTM standard time presented an error of approximately 5%. The definition of the data variability of standard times and the statistical distribution impacts were shown in the simulation results, with errors above 6% being observed, interfering with the model reliability.
Conclusion:
Based on the study, to increase the adherence of a simulation to represent a real process, it is recommended to use triangular distributions with central values greater than those established via the MTM for the representation of the standard times of new assembly processes or scenarios using DES.
Application:
The study contributions can be applied in assembly line design, providing a reliable model representing real processes and scenarios. |
| doi_str_mv | 10.1177/0018720819829596 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2188589263</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sage_id>10.1177_0018720819829596</sage_id><sourcerecordid>2223778535</sourcerecordid><originalsourceid>FETCH-LOGICAL-c413t-8e8a91c60c094c755b38ed4451fc91ae90db7743b9547bed164a4fb607523f2a3</originalsourceid><addsrcrecordid>eNp1kcFL5DAUxsOyso7j3j0tgb14qSZN0yTHYVh1QBEc9VrS9FUzpOls0h76N-w_bcZxFQRPD773e9-D70PohJIzSoU4J4RKkRNJlcwVV-U3NKO8EJmkkn5Hs9062-0P0VGMG0JIqRj_gQ4ZkYxzLmfo38JrN0Ubcd_i4RnwyrduBG9gJ6wH7RsdGnxvO8CPOlhdW2eHCff-lb4D9yHtDda2G50ebCKSsogRutpN-HYL4VWN2Hp8o_3YajOMwfonvJ7iAF08RgetdhF-vs05erj4c7-8yq5vL1fLxXVmCsqGTILUipqSGKIKIzivmYSmKDhtjaIaFGlqIQpWqxRFDQ0tC120dUkEz1mbazZHp3vfbej_jhCHqrPRgHPaQz_GKqdScqnykiX09yd0048hRZaoPGdCSM54osieMqGPMUBbbYPtdJgqSqpdUdXnotLJrzfjse6geT_430wCsj0Q9RN8fP3S8AXrTZuM</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2223778535</pqid></control><display><type>article</type><title>Analysis of the Influence of Standard Time Variability on the Reliability of the Simulation of Assembly Operations in Manufacturing Systems</title><source>MEDLINE</source><source>SAGE Journals</source><creator>Machado, Rafaela Heloisa Carvalho ; Helleno, André Luis ; de Oliveira, Maria Célia ; Santos, Mário Sérgio Corrêa dos ; Dias, Renan Meireles da Costa</creator><creatorcontrib>Machado, Rafaela Heloisa Carvalho ; Helleno, André Luis ; de Oliveira, Maria Célia ; Santos, Mário Sérgio Corrêa dos ; Dias, Renan Meireles da Costa</creatorcontrib><description>Objective:
The aim of this article is to analyze the influence of the variability of the standard time in the simulation of the assembly operations of manufacturing systems.
Background:
Discrete event simulation (DES) has been used to provide efficient analysis during the design of a process or scenario. However, the modeling activities of new configurations face the problem of data availability and reliability when it comes to seeking standard times that are effective in representing the actual process under analysis, especially when the process cannot be monitored.
Method:
The methods-time measurement (MTM) is used as a source of standard times for simulation. Assembly activities were performed at a Learning Factory facility, which provided the necessary structure for simulating real production processes. Simulation performances using different variability of standard times were analyzed to define the impact of data characteristics.
Results:
The MTM standard time presented an error of approximately 5%. The definition of the data variability of standard times and the statistical distribution impacts were shown in the simulation results, with errors above 6% being observed, interfering with the model reliability.
Conclusion:
Based on the study, to increase the adherence of a simulation to represent a real process, it is recommended to use triangular distributions with central values greater than those established via the MTM for the representation of the standard times of new assembly processes or scenarios using DES.
Application:
The study contributions can be applied in assembly line design, providing a reliable model representing real processes and scenarios.</description><identifier>ISSN: 0018-7208</identifier><identifier>EISSN: 1547-8181</identifier><identifier>DOI: 10.1177/0018720819829596</identifier><identifier>PMID: 30835558</identifier><language>eng</language><publisher>Los Angeles, CA: SAGE Publications</publisher><subject>Assembly ; Automation ; Computer simulation ; Discrete event systems ; Efficiency, Organizational ; Female ; Humans ; Industry ; Male ; Methods time measurement ; Reliability analysis ; Simulation ; Space life sciences ; Time Factors ; Young Adult</subject><ispartof>Human factors, 2019-06, Vol.61 (4), p.627-641</ispartof><rights>2019, Human Factors and Ergonomics Society</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c413t-8e8a91c60c094c755b38ed4451fc91ae90db7743b9547bed164a4fb607523f2a3</citedby><cites>FETCH-LOGICAL-c413t-8e8a91c60c094c755b38ed4451fc91ae90db7743b9547bed164a4fb607523f2a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.1177/0018720819829596$$EPDF$$P50$$Gsage$$H</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1177/0018720819829596$$EHTML$$P50$$Gsage$$H</linktohtml><link.rule.ids>315,781,785,21824,27929,27930,43626,43627</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30835558$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Machado, Rafaela Heloisa Carvalho</creatorcontrib><creatorcontrib>Helleno, André Luis</creatorcontrib><creatorcontrib>de Oliveira, Maria Célia</creatorcontrib><creatorcontrib>Santos, Mário Sérgio Corrêa dos</creatorcontrib><creatorcontrib>Dias, Renan Meireles da Costa</creatorcontrib><title>Analysis of the Influence of Standard Time Variability on the Reliability of the Simulation of Assembly Operations in Manufacturing Systems</title><title>Human factors</title><addtitle>Hum Factors</addtitle><description>Objective:
The aim of this article is to analyze the influence of the variability of the standard time in the simulation of the assembly operations of manufacturing systems.
Background:
Discrete event simulation (DES) has been used to provide efficient analysis during the design of a process or scenario. However, the modeling activities of new configurations face the problem of data availability and reliability when it comes to seeking standard times that are effective in representing the actual process under analysis, especially when the process cannot be monitored.
Method:
The methods-time measurement (MTM) is used as a source of standard times for simulation. Assembly activities were performed at a Learning Factory facility, which provided the necessary structure for simulating real production processes. Simulation performances using different variability of standard times were analyzed to define the impact of data characteristics.
Results:
The MTM standard time presented an error of approximately 5%. The definition of the data variability of standard times and the statistical distribution impacts were shown in the simulation results, with errors above 6% being observed, interfering with the model reliability.
Conclusion:
Based on the study, to increase the adherence of a simulation to represent a real process, it is recommended to use triangular distributions with central values greater than those established via the MTM for the representation of the standard times of new assembly processes or scenarios using DES.
Application:
The study contributions can be applied in assembly line design, providing a reliable model representing real processes and scenarios.</description><subject>Assembly</subject><subject>Automation</subject><subject>Computer simulation</subject><subject>Discrete event systems</subject><subject>Efficiency, Organizational</subject><subject>Female</subject><subject>Humans</subject><subject>Industry</subject><subject>Male</subject><subject>Methods time measurement</subject><subject>Reliability analysis</subject><subject>Simulation</subject><subject>Space life sciences</subject><subject>Time Factors</subject><subject>Young Adult</subject><issn>0018-7208</issn><issn>1547-8181</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kcFL5DAUxsOyso7j3j0tgb14qSZN0yTHYVh1QBEc9VrS9FUzpOls0h76N-w_bcZxFQRPD773e9-D70PohJIzSoU4J4RKkRNJlcwVV-U3NKO8EJmkkn5Hs9062-0P0VGMG0JIqRj_gQ4ZkYxzLmfo38JrN0Ubcd_i4RnwyrduBG9gJ6wH7RsdGnxvO8CPOlhdW2eHCff-lb4D9yHtDda2G50ebCKSsogRutpN-HYL4VWN2Hp8o_3YajOMwfonvJ7iAF08RgetdhF-vs05erj4c7-8yq5vL1fLxXVmCsqGTILUipqSGKIKIzivmYSmKDhtjaIaFGlqIQpWqxRFDQ0tC120dUkEz1mbazZHp3vfbej_jhCHqrPRgHPaQz_GKqdScqnykiX09yd0048hRZaoPGdCSM54osieMqGPMUBbbYPtdJgqSqpdUdXnotLJrzfjse6geT_430wCsj0Q9RN8fP3S8AXrTZuM</recordid><startdate>20190601</startdate><enddate>20190601</enddate><creator>Machado, Rafaela Heloisa Carvalho</creator><creator>Helleno, André Luis</creator><creator>de Oliveira, Maria Célia</creator><creator>Santos, Mário Sérgio Corrêa dos</creator><creator>Dias, Renan Meireles da Costa</creator><general>SAGE Publications</general><general>Human Factors and Ergonomics Society</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7T2</scope><scope>7TA</scope><scope>7TB</scope><scope>7TK</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>JG9</scope><scope>JQ2</scope><scope>K9.</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>7X8</scope></search><sort><creationdate>20190601</creationdate><title>Analysis of the Influence of Standard Time Variability on the Reliability of the Simulation of Assembly Operations in Manufacturing Systems</title><author>Machado, Rafaela Heloisa Carvalho ; Helleno, André Luis ; de Oliveira, Maria Célia ; Santos, Mário Sérgio Corrêa dos ; Dias, Renan Meireles da Costa</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c413t-8e8a91c60c094c755b38ed4451fc91ae90db7743b9547bed164a4fb607523f2a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Assembly</topic><topic>Automation</topic><topic>Computer simulation</topic><topic>Discrete event systems</topic><topic>Efficiency, Organizational</topic><topic>Female</topic><topic>Humans</topic><topic>Industry</topic><topic>Male</topic><topic>Methods time measurement</topic><topic>Reliability analysis</topic><topic>Simulation</topic><topic>Space life sciences</topic><topic>Time Factors</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Machado, Rafaela Heloisa Carvalho</creatorcontrib><creatorcontrib>Helleno, André Luis</creatorcontrib><creatorcontrib>de Oliveira, Maria Célia</creatorcontrib><creatorcontrib>Santos, Mário Sérgio Corrêa dos</creatorcontrib><creatorcontrib>Dias, Renan Meireles da Costa</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>MEDLINE - Academic</collection><jtitle>Human factors</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Machado, Rafaela Heloisa Carvalho</au><au>Helleno, André Luis</au><au>de Oliveira, Maria Célia</au><au>Santos, Mário Sérgio Corrêa dos</au><au>Dias, Renan Meireles da Costa</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysis of the Influence of Standard Time Variability on the Reliability of the Simulation of Assembly Operations in Manufacturing Systems</atitle><jtitle>Human factors</jtitle><addtitle>Hum Factors</addtitle><date>2019-06-01</date><risdate>2019</risdate><volume>61</volume><issue>4</issue><spage>627</spage><epage>641</epage><pages>627-641</pages><issn>0018-7208</issn><eissn>1547-8181</eissn><abstract>Objective:
The aim of this article is to analyze the influence of the variability of the standard time in the simulation of the assembly operations of manufacturing systems.
Background:
Discrete event simulation (DES) has been used to provide efficient analysis during the design of a process or scenario. However, the modeling activities of new configurations face the problem of data availability and reliability when it comes to seeking standard times that are effective in representing the actual process under analysis, especially when the process cannot be monitored.
Method:
The methods-time measurement (MTM) is used as a source of standard times for simulation. Assembly activities were performed at a Learning Factory facility, which provided the necessary structure for simulating real production processes. Simulation performances using different variability of standard times were analyzed to define the impact of data characteristics.
Results:
The MTM standard time presented an error of approximately 5%. The definition of the data variability of standard times and the statistical distribution impacts were shown in the simulation results, with errors above 6% being observed, interfering with the model reliability.
Conclusion:
Based on the study, to increase the adherence of a simulation to represent a real process, it is recommended to use triangular distributions with central values greater than those established via the MTM for the representation of the standard times of new assembly processes or scenarios using DES.
Application:
The study contributions can be applied in assembly line design, providing a reliable model representing real processes and scenarios.</abstract><cop>Los Angeles, CA</cop><pub>SAGE Publications</pub><pmid>30835558</pmid><doi>10.1177/0018720819829596</doi><tpages>15</tpages></addata></record> |
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| ispartof | Human factors, 2019-06, Vol.61 (4), p.627-641 |
| issn | 0018-7208 1547-8181 |
| language | eng |
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| source | MEDLINE; SAGE Journals |
| subjects | Assembly Automation Computer simulation Discrete event systems Efficiency, Organizational Female Humans Industry Male Methods time measurement Reliability analysis Simulation Space life sciences Time Factors Young Adult |
| title | Analysis of the Influence of Standard Time Variability on the Reliability of the Simulation of Assembly Operations in Manufacturing Systems |
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