Investigating The Influences Of Cross Training Configurations In Assembly Lines

dc.contributor.authorTai, Lee Zhen
dc.date.accessioned2018-12-18T06:58:24Z
dc.date.available2018-12-18T06:58:24Z
dc.date.issued2011-05
dc.description.abstractBy permitting operators to perform a different part of the organization's work, a cross-training model is developed. Its chief purpose is to promote multi-functionality of operators thus improves workforce flexibility. This research intends to investigate the effect of cross-training configurations, focusing on assembly lines under the influences of operator absenteeism, operator turnover, product changeover and learning. The cross training configurations, specifically Scheduled Rotation, Floating Operators, Zoned Worksharing – Two Skills Chaining, Zoned Worksharing – Hierarchical and Craft were experimented. Productivity, average skill of operators, average skill deviation within operator, average skill deviation between operators and the travelling cost incurred were the performance measures employed. An assembly factory in Prai was used as the case study in which a stochastic production simulation model was built upon by using WITNESS simulation software integrated with Visual Basic and Microsoft Access database for data collection. The raw data obtained were first statistically examined with non-parametric test, and later thoroughly discussed. As results showed the significant discrepancies of a number of performance measures on cross training configurations employed, respective classifications were duly built. The result potentially facilitates the selection of cross training configurations to meet certain intended performance measures in real industry applications.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/7334
dc.language.isoenen_US
dc.publisherUniversiti Sains Malaysiaen_US
dc.subjectInfluences of cross training configurationsen_US
dc.subjectin assembly linesen_US
dc.titleInvestigating The Influences Of Cross Training Configurations In Assembly Linesen_US
dc.typeThesisen_US
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