National Research Council of Canada. Industrial Research Assistance Program
2013 Industrial and Systems Engineering Research Conference, May 18-22, 2013, Puerto Rico
cognition and reasoning; performance evaluation; human subjects; skills
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.
Institute of Industrial and Systems Engineers
2013 Industrial and Systems Engineering Research Conference: 4110–4119.