Conseil national de recherches du Canada. Programme d'aide à la recherche industrielle
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.
Date de publication
Institute of Industrial and Systems Engineers
2013 Industrial and Systems Engineering Research Conference : 4110–4119.