Case Study: Stanley Black & Decker improves production planning with Kinta AI

Optimizing Complex Job Shops

Stanley Black & Decker, a global industrial tools and hardware company, worked with Kinta AI to improve production planning at its fastener facility in Stanfield, North Carolina. The plant faced complex scheduling challenges with a high SKU count and very high throughput, making it difficult for human planners to optimize machine, tool, and labor allocation using standard level-loading approaches.

Kinta AI used its production planning optimization software to generate more efficient schedules that handled uncertainty and complex constraints more effectively than manual methods. The result was a major improvement across key metrics: queue times fell 64%, makespan dropped 49%, on-time delivery increased 14%, setup times decreased 45%, and machine utilization rose 25%.

Stanley Black & Decker