Document Type : Research Paper
Authors
1 Student, Management and Industrial Engineering Malek Ashtar University of Technology, Tehran, Iran
2 Associate Professor, Management and Industrial Engineering, Malek Ashtar University of Technology,Tehran, Iran
3 Assistant Professor, Management and Industrial Engineering Malek Ashtar University of Technology, Tehran, Iran
Abstract
This study aims to enhance the performance of maintenance teams by proposing a mathematical programming model for team formation, focusing on the maximization of knowledge sharing. In this model, key factors influencing knowledge sharing, including knowledge absorptive capacity, knowledge-sharing capability, willingness to share knowledge, and motivation to acquire knowledge, along with the required expertise for maintenance activities, are identified and incorporated into the optimization process. The data used to develop the model were collected through performance evaluation questionnaires and expert interviews. The implementation of the proposed model in an organization with extensive physical assets demonstrates that optimizing team formation leads to significant improvements in key performance indicators, such as reducing mean time to repair, increasing equipment availability, and enhancing overall system productivity. The findings of this study indicate that knowledge sharing not only improves individual and team skills, but also plays a key role in improving the performance of maintenance teams. The proposed model can be used as an efficient decision-making tool for maintenance managers in various industries and help them form optimal teams to improve efficiency, reduce operational costs, and enhance equipment reliability.
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