A Study on Operator Allocation Method Considering the Productivity and the Training Effect in LaborIntensive Manufacturing System Since productivity depends on the operatoru0027s skill in the laborintensive c manufacturing system, effective skill training is a type of important issue. We proposed the operator allocation method using the skill index as a new index of human factor in our previous study. However, the training and productivity are in tradeoff relation in general. In this study, we propose the operator allocation method of the laborintensive manufacturing system by the case of cell manufacturing system which considers operator training and productivity at the same time by using the sum of skill index and the makespan in multiobjective function. For using the different unit of indexes, the standardization point in this method was adopted. The pilot test was executed and standardized an index to deal with a different index at the same time. And Simulated Annealing was using to find a solution.

Adapting Virtual Training Systems for Industrial Procedures to the Needs of Older People Integration of older employees into the workforce is critical for a successful manufacturing industry due to demographic change. However, technological developments to create more flexible manufacturing environments are leading to increasingly complex machinery that has to be operated by an aging workforce. Virtual training systems prepare operators for the interaction with industrial machines. Current virtual training systems do not address the perceptive and cognitive abilities of older users to enable a satisfying and efficient training. This article develops adaptations of the visualization and the interaction techniques of a virtual training system to address the abilities of older operators. The results of a betweensubjects study indicate that the adaptations improve the subjective perception of the training system and decrease the training time. The paper concludes that adaptive training systems can support the participation of diverse user groups in the manufacturing industry by providing more effective and satisfying training.