S. M. Saleemuddin,
Sanjeeva Reddy K. Hudgikar,
- Student, Visvesvaraya Technological University, Belagavi, Karnataka, India
- Professor, Sharnabasva University, Karnataka, India
Abstract
This study focuses on the implementation of cobots in a cellular manufacturing system to minimize production time. The use of cobots, collaborative robots capable of working alongside human operators, aims to increase efficiency and reduce manual labor in the manufacturing process. The mathematical model presented in this research evaluates the impact of cobots on production time by considering various factors, including task times, machine setup, inspection, waiting, and idle times. Through the model, we analyze the production time for two scenarios: one with cobots and another without cobots, using real-world data and assumptions. The results demonstrate the potential benefits of integrating cobots into the manufacturing system, leading to shorter production times and increased productivity. Furthermore, this study emphasizes the importance of process analysis, cobot selection, workforce training, and continuous improvement to optimize the cobot integration process. By understanding the implications of using cobots in cellular manufacturing, manufacturers can make informed decisions to streamline their production systems and remain competitive in a dynamic market.
Keywords: Optimizing Cellular Manufacturing Systems: Minimizing Production Time with Collaborative Robots (Cobots) using PSO
[This article belongs to International Journal of Industrial and Product Design Engineering (ijipde)]
S. M. Saleemuddin, Sanjeeva Reddy K. Hudgikar. Optimizing Cellular Manufacturing Systems: Minimizing Production Time with Collaborative Robots (Cobots) using PSO. International Journal of Industrial and Product Design Engineering. 2023; 01(01):22-27.
S. M. Saleemuddin, Sanjeeva Reddy K. Hudgikar. Optimizing Cellular Manufacturing Systems: Minimizing Production Time with Collaborative Robots (Cobots) using PSO. International Journal of Industrial and Product Design Engineering. 2023; 01(01):22-27. Available from: https://journals.stmjournals.com/ijipde/article=2023/view=129648
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Volume | 01 |
Issue | 01 |
Received | 05/07/2023 |
Accepted | 01/08/2023 |
Published | 16/12/2023 |