Performance Measurement using Location-Based Status Data

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorSeppänen, Ollien_US
dc.contributor.authorKenley, Russellen_US
dc.contributor.departmentDynamic System Solutions Ltden_US
dc.contributor.departmentUNITEC Institute of Technologyen_US
dc.contributor.departmentDepartment of Civil and Environmental Engineeringen
dc.date.accessioned2016-10-13T06:15:27Z
dc.date.issued2005en_US
dc.description.abstractMuch attention has been placed on measuring performance of activity completion in Lean literature, using techniques such as Percentage of Planned Activities Completed (PPC). Originally intended as one component of measuring plan execution, along with measures of Planned Productivity, PPC has been extensively researched but Planned Productivity has been neglected. Using a lean methodology based on location-based scheduling enables an alternative performance measurement system. This paper proposes a method which makes possible the gathering of large amounts of performance data without too much effort. The method is an important contribution to the available suite of lean methods. Performance measurement using location-based status data is a method which has much in common with earned value analysis, and is able to use the progressive performance through each location of the project as the unit of measurement. The equivalent indicator to PPC is provided by measuring against the planned completion of a location. Furthermore, before commencing work the site checks the actual quantities in each location. Planned Productivity is measured during implementation, with the start date and finish date, actual quantities and average resources used in each location being recorded. This information can be used to calculate actual productivity. The location-based data gives the ability to measure within tasks, revealing not just completion of stages as in PPC, can measure against Planned Productivity. The actual productivities can be used to forecast problems in the future and to evaluate the feasibility of alternative control actions. In addition, the location-based actual information combined with the original Bill-of-Quantities and schedule reveals the erroneous assumptions made during preplanning and facilitates learning on future projects.en
dc.description.versionPeer revieweden
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationSeppänen , O & Kenley , R 2005 , Performance Measurement using Location-Based Status Data . in Proceedings of the 13th Annual Conference of the International Group for Lean Construction . Sydney, Australia .en
dc.identifier.isbn978-187704034-4
dc.identifier.isbn1877040347
dc.identifier.otherPURE UUID: c3473bd1-3ffc-4205-a7af-518f79d86a51en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/c3473bd1-3ffc-4205-a7af-518f79d86a51en_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/8322393/Performance_measurement_using_location_based_statu.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/22948
dc.identifier.urnURN:NBN:fi:aalto-201610135048
dc.language.isoenen
dc.relation.ispartofseriesProceedings of the 13th Annual Conference of the International Group for Lean Constructionen
dc.rightsopenAccessen
dc.subject.keywordFlowlineen_US
dc.subject.keywordPPCen_US
dc.subject.keywordPerformance measurementen_US
dc.subject.keywordlocation-baseden_US
dc.titlePerformance Measurement using Location-Based Status Dataen
dc.typeConference article in proceedingsfi
dc.type.versionpublishedVersion
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