Trouser Assembly Line Simulation Data for Production Optimization

Ocident Bongomin of Moi University created this dataset from a simulation-based optimization study of a complex trouser assembly line. The empirical study was conducted at the Southern Range Nyanza Limited (NYTIL) garment facility, modeling a line with 72 operations. Results show throughput increased from 490 to 762 pieces per day and line efficiency improved from 61.2% to 95.2%.

Use Cases

• Benchmarking simulation-based optimization methods for assembly line balancing based on the described 72-operation line.
• Training predictive models for throughput and line efficiency based on operational parameters from the described experiment.
• Comparing local versus global optimization strategies for production lines based on the results from the OptQuest tool application.

Strengths

• Empirical data is sourced from a real-world garment facility (Southern Range Nyanza Limited).
• Results include specific, quantified performance improvements: throughput increased from 490 to 762 pieces per day.
• The study methodology is detailed, involving discrete event simulation in Arena and optimization via OptQuest.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Moi University (via paperswithcode)

Collection Method

Simulation-based optimization via design of experiment, using Arena simulation software and the OptQuest tool.

Geography

Likely Uganda (based on Southern Range Nyanza Limited facility).