| Author | Search for: Urbanic, R. J.; Search for: Bacioiu, G. M.1 |
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| Affiliation | - National Research Council of Canada. Industrial Research Assistance Program
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| Format | Text, Article |
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| Conference | 2013 Industrial and Systems Engineering Research Conference, May 18-22, 2013, Puerto Rico |
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| Subject | cognition and reasoning; performance evaluation; human subjects; skills |
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| Abstract | Research activities have been performed to identify areas of complexity related to the product, process or operational tasks. The developed framework decouples the manufacturing complexity aspects using a systematic approach to decompose the problem into key impact factors. The result of this model provides insight into the system sensitivities when considering human characteristics. However, the model is a static model. Skill levels improve with experience and repetition. The actors within a system may have different levels of skills and knowledge, and how and where these resources are utilized within a system will impact inventory and throughput. As well, people have different learning characteristics. Both these static and dynamic elements impact the system performance. This research presents a systems dynamics model that contains production rules and rules to evaluate the impact of human skill level variations based on the complexity of a task / set of tasks. The impact of positioning a set of personnel with different skill levels on different positions in an assembly line is explored. |
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| Publication date | 2013-05-22 |
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| Publisher | Institute of Industrial and Systems Engineers |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| NPARC number | 23001857 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | eaf88311-7edb-4f1b-a6da-18c4789666ea |
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| Record created | 2017-04-21 |
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| Record modified | 2020-04-22 |
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