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A study on forecasting the dynamics of schedules for increasing efficiency and production
20%
10%
planning efficiency has increased
by
by
the number of overdue schedules has decreased
AI-based systems
manufacture
Customer
A large technology holding company producing trucks and automotive equipment in Russia
CHALLENGES/FEATURES
development of new and modernization of current models during the period of active withdrawal of foreign manufacturers
planning the work of the experimental design department with stages lasting several months
Development of a prototype forecasting system for early response to production delays
Task
solution
Technical solution
A prototype system for forecasting the dynamics of production schedules, which:
based on the analysis of 1000+ production schedules
based on 50+ factors of performance for on-time schedule execution
Predicts schedule completion on time with 60% accuracy; with regular task status monitoring, accuracy increases to at least 70%
Result
Business values
a prototype forecasting system for early response to production delays
discipline for completing interim schedules on time
increasing the efficiency of scheduling by 20%
reduction of the number of overdue production schedules by 10%
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