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oapen-20.500.12657-76435
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dspace
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oapen-20.500.12657-764352024-03-28T09:47:34Z Gamification of telematics data to enhance operators’ behaviour for improvement of machine productivity in loading cycles Rajabi, Milad Loading cycles Ladezyklen Telematics Gamification Construction industry is suffering from low productivity rate in various projects such as excavation. Although this issue is discussed in literature and several approaches are proposed to address it, productivity rate is still low in construction industry compared to other domains like manufacturing. A gamified platform in which different operators from different organizations can share their achievements, or can get scored and ranked in a leader-board will potentially address this issue. 2023-09-26T15:20:24Z 2023-09-26T15:20:24Z 2023 book ONIX_20230926_9783731513018_6 2363-8222 9783731513018 https://library.oapen.org/handle/20.500.12657/76435 eng Karlsruher Reihe Technologie und Management im Baubetrieb application/pdf n/a 9783731513018.pdf https://doi.org/10.5445/KSP/1000158525 KIT Scientific Publishing KIT Scientific Publishing 10.5445/KSP/1000158525 10.5445/KSP/1000158525 44e29711-8d53-496b-85cc-3d10c9469be9 9783731513018 KIT Scientific Publishing 8 274 Karlsruhe open access
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| institution |
OAPEN
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DSpace
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| language |
English
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| description |
Construction industry is suffering from low productivity rate in various projects such as excavation. Although this issue is discussed in literature and several approaches are proposed to address it, productivity rate is still low in construction industry compared to other domains like manufacturing. A gamified platform in which different operators from different organizations can share their achievements, or can get scored and ranked in a leader-board will potentially address this issue.
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| title |
9783731513018.pdf
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| spellingShingle |
9783731513018.pdf
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| title_short |
9783731513018.pdf
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| title_full |
9783731513018.pdf
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| title_fullStr |
9783731513018.pdf
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| title_full_unstemmed |
9783731513018.pdf
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| title_sort |
9783731513018.pdf
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| publisher |
KIT Scientific Publishing
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| publishDate |
2023
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| url |
https://doi.org/10.5445/KSP/1000158525
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| _version_ |
1799945300334346240
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