| Article ID: | iaor2007277 |
| Country: | United States |
| Volume: | 36 |
| Issue: | 1 |
| Start Page Number: | 6 |
| End Page Number: | 25 |
| Publication Date: | Jan 2006 |
| Journal: | Interfaces |
| Authors: | Turnquist Mark A., Burns Lawrence D., Alden Jeffrey M., Kim David S., Owen Jonathan H., Costy Theodore, Hutton Richard D., Jackson Craig A., Kohls Kevin A., Veen David J. Vander |
| Keywords: | performance, production, scheduling |
In the late 1980s, General Motors Corporation (GM) initiated a long-term project to predict and improve the throughput performance of its production lines to increase productivity throughout its manufacturing operations and provide GM with a strategic competitive advantage. GM quantified throughput performance and focused improvement efforts in the design and operations of its manufacturing systems through coordinated activities in three areas: (1) it developed algorithms for estimating throughput performance, identifying bottlenecks, and optimizing buffer allocation, (2) it installed real-time plant-floor data-collection systems to support the algorithms, and (3) it established common processes for identifying opportunities and implementing performance improvements. Through these activities, GM has increased revenue and saved over $2.1 billion in over 30 vehicle plants and 10 countries.