Innovative Work Order Planning with Process Optimization Using Computer Simulation in the Automotive Industry, in the Case of Repair Workshops
This article introduces a novel approach to enhance the efficiency of work schedule management in automotive repair shops during the planning phase, leveraging computer simulation techniques. The primary focus of this study is the optimization of the scheduling process, specifically the sequencing o...
Gespeichert in:
| Veröffentlicht in: | Periodica polytechnica. Transportation engineering 2024-07, Vol.52 (3), p.292-300 |
|---|---|
| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | eng ; ger ; rus |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 300 |
|---|---|
| container_issue | 3 |
| container_start_page | 292 |
| container_title | Periodica polytechnica. Transportation engineering |
| container_volume | 52 |
| creator | Krynke, Marek Mazur, Magdalena |
| description | This article introduces a novel approach to enhance the efficiency of work schedule management in automotive repair shops during the planning phase, leveraging computer simulation techniques. The primary focus of this study is the optimization of the scheduling process, specifically the sequencing of car repairs, aimed at minimizing the average repair time. The proposed simulation model harnesses the power of the FlexSim simulation environment, incorporating an embedded optimization module. The article outlines the fundamental stages involved in constructing the simulation model, encompassing essential input data and information. Furthermore, the article presents empirical results demonstrating the significant impact of various simulation scenarios on resource utilization, production costs, and process duration. |
| doi_str_mv | 10.3311/PPtr.23546 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_3065688368</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3065688368</sourcerecordid><originalsourceid>FETCH-LOGICAL-c996-d3a62059dd49f52164f4d5549f20f307744f1121e7bb66c1d0e262232d1a3c2d3</originalsourceid><addsrcrecordid>eNo1kF9LwzAUxYMoOKcvfoKAb2Jnktum7aMU_wwGGzrxsWRN6jLXpCbpZH4IP7Pdpk-Xy_mdc-AgdEnJCIDS29ksuBGDJOZHaECTLI0go_QYDQgQiNKMkFN05v2KEE4zBgP0MzbGbkTQG4XfrPvAUyeVw7O1MEabd_ylwxLPnK2U93jaBt3o7562Br_6nV7Ypu1C73jRTbc-KNrgsFT4rgu2sfvksZGdD257868Vwitsa_ysWqHdvtkvbevP0Ukt1l5d_N0hmj_cz4unaDJ9HBd3k6jKcx5JEJyRJJcyzuuEUR7XsUyS_mGkBpKmcVxTyqhKFwvOKyqJYpwxYJIKqJiEIbo6xLbOfnbKh3JlO2f6xhIIT3iWAc966vpAVc5671Rdtk43wm1LSsrd3OVu7nI_N_wCRAN0Xw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3065688368</pqid></control><display><type>article</type><title>Innovative Work Order Planning with Process Optimization Using Computer Simulation in the Automotive Industry, in the Case of Repair Workshops</title><source>EZB-FREE-00999 freely available EZB journals</source><source>Alma/SFX Local Collection</source><creator>Krynke, Marek ; Mazur, Magdalena</creator><creatorcontrib>Krynke, Marek ; Mazur, Magdalena</creatorcontrib><description>This article introduces a novel approach to enhance the efficiency of work schedule management in automotive repair shops during the planning phase, leveraging computer simulation techniques. The primary focus of this study is the optimization of the scheduling process, specifically the sequencing of car repairs, aimed at minimizing the average repair time. The proposed simulation model harnesses the power of the FlexSim simulation environment, incorporating an embedded optimization module. The article outlines the fundamental stages involved in constructing the simulation model, encompassing essential input data and information. Furthermore, the article presents empirical results demonstrating the significant impact of various simulation scenarios on resource utilization, production costs, and process duration.</description><identifier>ISSN: 0303-7800</identifier><identifier>EISSN: 1587-3811</identifier><identifier>DOI: 10.3311/PPtr.23546</identifier><language>eng ; ger ; rus</language><publisher>Budapest: Periodica Polytechnica, Budapest University of Technology and Economics</publisher><subject>Automobile industry ; Automobile repair ; Automotive repair services ; Business metrics ; Computer simulation ; Cost control ; Customer satisfaction ; Customer services ; Efficiency ; Keywords ; Literature reviews ; Optimization ; Preventive maintenance ; Process engineering ; Production costs ; Productivity ; Repair time ; Resource utilization ; Schedules ; Scheduling ; Simulation models ; Software ; Workshops</subject><ispartof>Periodica polytechnica. Transportation engineering, 2024-07, Vol.52 (3), p.292-300</ispartof><rights>Copyright Periodica Polytechnica, Budapest University of Technology and Economics 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0000-0003-3515-8302</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids></links><search><creatorcontrib>Krynke, Marek</creatorcontrib><creatorcontrib>Mazur, Magdalena</creatorcontrib><title>Innovative Work Order Planning with Process Optimization Using Computer Simulation in the Automotive Industry, in the Case of Repair Workshops</title><title>Periodica polytechnica. Transportation engineering</title><description>This article introduces a novel approach to enhance the efficiency of work schedule management in automotive repair shops during the planning phase, leveraging computer simulation techniques. The primary focus of this study is the optimization of the scheduling process, specifically the sequencing of car repairs, aimed at minimizing the average repair time. The proposed simulation model harnesses the power of the FlexSim simulation environment, incorporating an embedded optimization module. The article outlines the fundamental stages involved in constructing the simulation model, encompassing essential input data and information. Furthermore, the article presents empirical results demonstrating the significant impact of various simulation scenarios on resource utilization, production costs, and process duration.</description><subject>Automobile industry</subject><subject>Automobile repair</subject><subject>Automotive repair services</subject><subject>Business metrics</subject><subject>Computer simulation</subject><subject>Cost control</subject><subject>Customer satisfaction</subject><subject>Customer services</subject><subject>Efficiency</subject><subject>Keywords</subject><subject>Literature reviews</subject><subject>Optimization</subject><subject>Preventive maintenance</subject><subject>Process engineering</subject><subject>Production costs</subject><subject>Productivity</subject><subject>Repair time</subject><subject>Resource utilization</subject><subject>Schedules</subject><subject>Scheduling</subject><subject>Simulation models</subject><subject>Software</subject><subject>Workshops</subject><issn>0303-7800</issn><issn>1587-3811</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNo1kF9LwzAUxYMoOKcvfoKAb2Jnktum7aMU_wwGGzrxsWRN6jLXpCbpZH4IP7Pdpk-Xy_mdc-AgdEnJCIDS29ksuBGDJOZHaECTLI0go_QYDQgQiNKMkFN05v2KEE4zBgP0MzbGbkTQG4XfrPvAUyeVw7O1MEabd_ylwxLPnK2U93jaBt3o7562Br_6nV7Ypu1C73jRTbc-KNrgsFT4rgu2sfvksZGdD257868Vwitsa_ysWqHdvtkvbevP0Ukt1l5d_N0hmj_cz4unaDJ9HBd3k6jKcx5JEJyRJJcyzuuEUR7XsUyS_mGkBpKmcVxTyqhKFwvOKyqJYpwxYJIKqJiEIbo6xLbOfnbKh3JlO2f6xhIIT3iWAc966vpAVc5671Rdtk43wm1LSsrd3OVu7nI_N_wCRAN0Xw</recordid><startdate>20240701</startdate><enddate>20240701</enddate><creator>Krynke, Marek</creator><creator>Mazur, Magdalena</creator><general>Periodica Polytechnica, Budapest University of Technology and Economics</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BYOGL</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>HCIFZ</scope><scope>KR7</scope><scope>L6V</scope><scope>M7S</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><orcidid>https://orcid.org/0000-0003-3515-8302</orcidid></search><sort><creationdate>20240701</creationdate><title>Innovative Work Order Planning with Process Optimization Using Computer Simulation in the Automotive Industry, in the Case of Repair Workshops</title><author>Krynke, Marek ; Mazur, Magdalena</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c996-d3a62059dd49f52164f4d5549f20f307744f1121e7bb66c1d0e262232d1a3c2d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng ; ger ; rus</language><creationdate>2024</creationdate><topic>Automobile industry</topic><topic>Automobile repair</topic><topic>Automotive repair services</topic><topic>Business metrics</topic><topic>Computer simulation</topic><topic>Cost control</topic><topic>Customer satisfaction</topic><topic>Customer services</topic><topic>Efficiency</topic><topic>Keywords</topic><topic>Literature reviews</topic><topic>Optimization</topic><topic>Preventive maintenance</topic><topic>Process engineering</topic><topic>Production costs</topic><topic>Productivity</topic><topic>Repair time</topic><topic>Resource utilization</topic><topic>Schedules</topic><topic>Scheduling</topic><topic>Simulation models</topic><topic>Software</topic><topic>Workshops</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Krynke, Marek</creatorcontrib><creatorcontrib>Mazur, Magdalena</creatorcontrib><collection>CrossRef</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>East Europe, Central Europe Database</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>SciTech Premium Collection</collection><collection>Civil Engineering Abstracts</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>Periodica polytechnica. Transportation engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Krynke, Marek</au><au>Mazur, Magdalena</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Innovative Work Order Planning with Process Optimization Using Computer Simulation in the Automotive Industry, in the Case of Repair Workshops</atitle><jtitle>Periodica polytechnica. Transportation engineering</jtitle><date>2024-07-01</date><risdate>2024</risdate><volume>52</volume><issue>3</issue><spage>292</spage><epage>300</epage><pages>292-300</pages><issn>0303-7800</issn><eissn>1587-3811</eissn><abstract>This article introduces a novel approach to enhance the efficiency of work schedule management in automotive repair shops during the planning phase, leveraging computer simulation techniques. The primary focus of this study is the optimization of the scheduling process, specifically the sequencing of car repairs, aimed at minimizing the average repair time. The proposed simulation model harnesses the power of the FlexSim simulation environment, incorporating an embedded optimization module. The article outlines the fundamental stages involved in constructing the simulation model, encompassing essential input data and information. Furthermore, the article presents empirical results demonstrating the significant impact of various simulation scenarios on resource utilization, production costs, and process duration.</abstract><cop>Budapest</cop><pub>Periodica Polytechnica, Budapest University of Technology and Economics</pub><doi>10.3311/PPtr.23546</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0003-3515-8302</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0303-7800 |
| ispartof | Periodica polytechnica. Transportation engineering, 2024-07, Vol.52 (3), p.292-300 |
| issn | 0303-7800 1587-3811 |
| language | eng ; ger ; rus |
| recordid | cdi_proquest_journals_3065688368 |
| source | EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection |
| subjects | Automobile industry Automobile repair Automotive repair services Business metrics Computer simulation Cost control Customer satisfaction Customer services Efficiency Keywords Literature reviews Optimization Preventive maintenance Process engineering Production costs Productivity Repair time Resource utilization Schedules Scheduling Simulation models Software Workshops |
| title | Innovative Work Order Planning with Process Optimization Using Computer Simulation in the Automotive Industry, in the Case of Repair Workshops |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T19%3A37%3A44IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Innovative%20Work%20Order%20Planning%20with%20Process%20Optimization%20Using%20Computer%20Simulation%20in%20the%20Automotive%20Industry,%20in%20the%20Case%20of%20Repair%20Workshops&rft.jtitle=Periodica%20polytechnica.%20Transportation%20engineering&rft.au=Krynke,%20Marek&rft.date=2024-07-01&rft.volume=52&rft.issue=3&rft.spage=292&rft.epage=300&rft.pages=292-300&rft.issn=0303-7800&rft.eissn=1587-3811&rft_id=info:doi/10.3311/PPtr.23546&rft_dat=%3Cproquest_cross%3E3065688368%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3065688368&rft_id=info:pmid/&rfr_iscdi=true |