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dc.contributor.authorAzam, Mohammad Ali
dc.date.accessioned2017-12-19T05:52:30Z
dc.date.available2017-12-19T05:52:30Z
dc.date.issued2017-12-18
dc.identifier.urihttp://dspace.uiu.ac.bd/handle/52243/92
dc.description.abstractHR departments of many manufacturing industries in Bangladesh are reluctant to prepare a roaster for daily laborers. Usually a manufacturing industry runs multiple shifts for workers. Workers’ attendances are captured through the biometric devices such as fingerprint devices into a database which needs to be mapped worker to appropriate shift automatically. ‘Automated Multi-Shift Attendance System’ can map workers’ shift automatically by analyzing attendance data without having a roaster. Furthermore, it can successfully analyze multiple shift on a single on which an individual worker works and produce intuitive report rather than just displaying First-In/Last-Out report.en_US
dc.language.isoenen_US
dc.publisherUnited International Universityen_US
dc.subjectMulti-Shift Systemen_US
dc.subjectUMLen_US
dc.subjectDFD Diagramen_US
dc.subjectClass Diagramen_US
dc.subjectTime Sequence Diagramen_US
dc.titleAttendance System for Multi-Shift Manufacturing Industriesen_US
dc.typeThesisen_US


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