Time calculation of waste collection routes: Case study from the City of Oslo
For the first time since 1992, Oslo’s household waste in 2017 was collected by The Agency for Waste Management in the City of Oslo (REN). Collections were taken over due to the contractor’s poor delivery quality; however, complaints and breaches of the working hours provisions did not disappear afte...
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Veröffentlicht in: | Waste management & research 2019-07, Vol.37 (7), p.667-673 |
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creator | Nilssen, John Egil Sylthe, Maren Testa, Ginevra Bakken, Bent Erik |
description | For the first time since 1992, Oslo’s household waste in 2017 was collected by The Agency for Waste Management in the City of Oslo (REN). Collections were taken over due to the contractor’s poor delivery quality; however, complaints and breaches of the working hours provisions did not disappear after the REN take-over. A new operating model requiring a new route layout was simulated to determine whether new routes exceed normal work hours. Fifty proposed waste collection routes were simulated under normal and adverse snowing conditions. 36% of the proposed exceed the 7 1/2 work-day limit under adverse conditions and will require provision for overtime use. The sensitivity analysis shows that there is an efficiency potential associated with the human, safety and ergonomics factors, and that some time drivers impact time spent considerably more than others. Based on this, we recommended that:
The simulation models should be used to estimate time spent on new routes before these are implemented, as a quality assurance measure. The results should be reconciled against working hours.
The new routes should be simulated successively as new routes are proposed since changes to one route’s time drivers will have consequences for adjoining routes.
The various data sources should be reviewed with a view to registering or coding information in a way that makes it easy to extract information linked to the individual route across data sources.
REN should clarify a new working hours model for the waste collectors before the new route layout is designed. |
doi_str_mv | 10.1177/0734242X19838612 |
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The simulation models should be used to estimate time spent on new routes before these are implemented, as a quality assurance measure. The results should be reconciled against working hours.
The new routes should be simulated successively as new routes are proposed since changes to one route’s time drivers will have consequences for adjoining routes.
The various data sources should be reviewed with a view to registering or coding information in a way that makes it easy to extract information linked to the individual route across data sources.
REN should clarify a new working hours model for the waste collectors before the new route layout is designed.</description><identifier>ISSN: 0734-242X</identifier><identifier>EISSN: 1096-3669</identifier><identifier>DOI: 10.1177/0734242X19838612</identifier><identifier>PMID: 30957710</identifier><language>eng</language><publisher>London, England: SAGE Publications</publisher><subject>Cities ; Computer simulation ; Data collection ; Data sources ; Ergonomics ; Garbage collection ; Household wastes ; Humans ; Information processing ; Layouts ; Quality assurance ; Route selection ; Sensitivity analysis ; Waste Management ; Working hours</subject><ispartof>Waste management & research, 2019-07, Vol.37 (7), p.667-673</ispartof><rights>The Author(s) 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c423t-f5f7f537ce09d786b9f7d81778e7ed9bbff7f653c2b11b0e053435c9e6d6c4fc3</citedby><cites>FETCH-LOGICAL-c423t-f5f7f537ce09d786b9f7d81778e7ed9bbff7f653c2b11b0e053435c9e6d6c4fc3</cites><orcidid>0000-0002-1620-7933</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.1177/0734242X19838612$$EPDF$$P50$$Gsage$$H</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1177/0734242X19838612$$EHTML$$P50$$Gsage$$H</linktohtml><link.rule.ids>314,776,780,21800,27903,27904,43600,43601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30957710$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Nilssen, John Egil</creatorcontrib><creatorcontrib>Sylthe, Maren</creatorcontrib><creatorcontrib>Testa, Ginevra</creatorcontrib><creatorcontrib>Bakken, Bent Erik</creatorcontrib><title>Time calculation of waste collection routes: Case study from the City of Oslo</title><title>Waste management & research</title><addtitle>Waste Manag Res</addtitle><description>For the first time since 1992, Oslo’s household waste in 2017 was collected by The Agency for Waste Management in the City of Oslo (REN). Collections were taken over due to the contractor’s poor delivery quality; however, complaints and breaches of the working hours provisions did not disappear after the REN take-over. A new operating model requiring a new route layout was simulated to determine whether new routes exceed normal work hours. Fifty proposed waste collection routes were simulated under normal and adverse snowing conditions. 36% of the proposed exceed the 7 1/2 work-day limit under adverse conditions and will require provision for overtime use. The sensitivity analysis shows that there is an efficiency potential associated with the human, safety and ergonomics factors, and that some time drivers impact time spent considerably more than others. Based on this, we recommended that:
The simulation models should be used to estimate time spent on new routes before these are implemented, as a quality assurance measure. The results should be reconciled against working hours.
The new routes should be simulated successively as new routes are proposed since changes to one route’s time drivers will have consequences for adjoining routes.
The various data sources should be reviewed with a view to registering or coding information in a way that makes it easy to extract information linked to the individual route across data sources.
REN should clarify a new working hours model for the waste collectors before the new route layout is designed.</description><subject>Cities</subject><subject>Computer simulation</subject><subject>Data collection</subject><subject>Data sources</subject><subject>Ergonomics</subject><subject>Garbage collection</subject><subject>Household wastes</subject><subject>Humans</subject><subject>Information processing</subject><subject>Layouts</subject><subject>Quality assurance</subject><subject>Route selection</subject><subject>Sensitivity analysis</subject><subject>Waste Management</subject><subject>Working hours</subject><issn>0734-242X</issn><issn>1096-3669</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kEtLw0AUhQdRbK3uXUnAjZvonUcyiTsJvqDSTQV3YTK5oymTTs0kSP-9U-sDCq4u3POdc2cOIacULimV8gokF0ywF5pnPEsp2yNjCnka8zTN98l4I8cbfUSOvF8AgMgEHJIRhzyRksKYPM2bFiOtrB6s6hu3jJyJPpTvw9JZi_pr17mhR38dFcpj5PuhXkemc23Uv2FUNP16Y5p5647JgVHW48n3nJDnu9t58RBPZ_ePxc001oLxPjaJkSbhUiPktczSKjeyzsKHMpRY51Vlgp4mXLOK0goQEi54onNM61QLo_mEXGxzV517H9D3Zdt4jdaqJbrBl4xBIihIyQJ6voMu3NAtw-sClTABwEAECraU7pz3HZpy1TWt6tYlhXJTdblbdbCcfQcPVYv1r-Gn2wDEW8CrV_y7-m_gJwoRhSY</recordid><startdate>20190701</startdate><enddate>20190701</enddate><creator>Nilssen, John Egil</creator><creator>Sylthe, Maren</creator><creator>Testa, Ginevra</creator><creator>Bakken, Bent Erik</creator><general>SAGE Publications</general><general>Sage Publications Ltd</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>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7ST</scope><scope>7T7</scope><scope>7TA</scope><scope>7TB</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>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>P64</scope><scope>SOI</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-1620-7933</orcidid></search><sort><creationdate>20190701</creationdate><title>Time calculation of waste collection routes: Case study from the City of Oslo</title><author>Nilssen, John Egil ; Sylthe, Maren ; Testa, Ginevra ; Bakken, Bent Erik</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c423t-f5f7f537ce09d786b9f7d81778e7ed9bbff7f653c2b11b0e053435c9e6d6c4fc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Cities</topic><topic>Computer simulation</topic><topic>Data collection</topic><topic>Data sources</topic><topic>Ergonomics</topic><topic>Garbage collection</topic><topic>Household wastes</topic><topic>Humans</topic><topic>Information processing</topic><topic>Layouts</topic><topic>Quality assurance</topic><topic>Route selection</topic><topic>Sensitivity analysis</topic><topic>Waste Management</topic><topic>Working hours</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nilssen, John Egil</creatorcontrib><creatorcontrib>Sylthe, Maren</creatorcontrib><creatorcontrib>Testa, Ginevra</creatorcontrib><creatorcontrib>Bakken, Bent Erik</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>Biotechnology Research 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>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering 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>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>Biotechnology and BioEngineering Abstracts</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Waste management & research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nilssen, John Egil</au><au>Sylthe, Maren</au><au>Testa, Ginevra</au><au>Bakken, Bent Erik</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Time calculation of waste collection routes: Case study from the City of Oslo</atitle><jtitle>Waste management & research</jtitle><addtitle>Waste Manag Res</addtitle><date>2019-07-01</date><risdate>2019</risdate><volume>37</volume><issue>7</issue><spage>667</spage><epage>673</epage><pages>667-673</pages><issn>0734-242X</issn><eissn>1096-3669</eissn><abstract>For the first time since 1992, Oslo’s household waste in 2017 was collected by The Agency for Waste Management in the City of Oslo (REN). Collections were taken over due to the contractor’s poor delivery quality; however, complaints and breaches of the working hours provisions did not disappear after the REN take-over. A new operating model requiring a new route layout was simulated to determine whether new routes exceed normal work hours. Fifty proposed waste collection routes were simulated under normal and adverse snowing conditions. 36% of the proposed exceed the 7 1/2 work-day limit under adverse conditions and will require provision for overtime use. The sensitivity analysis shows that there is an efficiency potential associated with the human, safety and ergonomics factors, and that some time drivers impact time spent considerably more than others. Based on this, we recommended that:
The simulation models should be used to estimate time spent on new routes before these are implemented, as a quality assurance measure. The results should be reconciled against working hours.
The new routes should be simulated successively as new routes are proposed since changes to one route’s time drivers will have consequences for adjoining routes.
The various data sources should be reviewed with a view to registering or coding information in a way that makes it easy to extract information linked to the individual route across data sources.
REN should clarify a new working hours model for the waste collectors before the new route layout is designed.</abstract><cop>London, England</cop><pub>SAGE Publications</pub><pmid>30957710</pmid><doi>10.1177/0734242X19838612</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0002-1620-7933</orcidid></addata></record> |
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subjects | Cities Computer simulation Data collection Data sources Ergonomics Garbage collection Household wastes Humans Information processing Layouts Quality assurance Route selection Sensitivity analysis Waste Management Working hours |
title | Time calculation of waste collection routes: Case study from the City of Oslo |
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