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Using a two-stage D-Optimal mode to select equipment for flexible manufacturing systems
Xiaomo Yu1, Jie Mi1, Jiajia Liu1
1Department of Logistics Management and Engineering, Nanning Normal University, Nanning, 530001, Guangxi, China.
Scientific Reports
|February 26, 2026
Summary
This study optimizes equipment selection in flexible manufacturing systems (FMS) for cost savings and efficiency. The research found that 92.8% automation utilization is optimal, demonstrating complete automation isn
Area of Science:
- Industrial Engineering
- Operations Research
Background:
- Flexible Manufacturing Systems (FMS) are crucial for modern production.
- Optimizing equipment selection in FMS is complex, balancing cost, efficiency, and procedures.
- The assumption that higher automation always leads to better efficiency is often challenged.
Purpose of the Study:
- To optimize equipment selection in flexible manufacturing systems (FMS).
- To enhance cost savings, procedural improvements, and production efficiency.
- To develop a balanced and measurable method for FMS optimization applicable across industries.
Main Methods:
- A case study from the electronics sector was utilized.
- A two-stage D-Optimal design was employed in conjunction with discrete event simulation.
- A weighted response-surface value 'y' was computed using key production indices (production rate, waste, cycle time).
Main Results:
- A first-stage response-surface value of 14733.09 was achieved.
- A second-stage refinement resulted in a response-surface value of 151317.88.
- An optimal equipment combination was identified, achieving 92.8% automation utilization, indicating complete automation is not always superior.
Conclusions:
- Complete automation does not necessarily enhance production efficiency in FMS.
- The proposed method offers a balanced approach to FMS optimization.
- This methodology can improve resource efficiency and flexibility in various industrial settings.
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