SCHEDULER

SCHEDULER

Optimize production line and staff schedules

Industry Challenge

Scheduling of work orders has a direct influence on time to production and overall cost. Assignment of work orders to the lines and staff is a complex daily challenge that depends on many variables and constraints. Manual scheduling is a very common practice which results in inefficient use of resources. Cost reduction of more than 20% and capacity increase of more than 50% could be achieved with no additional investment.

Industry Challenge

What you get?

What you get?

Machine Learning: Scheduler dynamically learns the production constraints and rules using machine learning algorithms
Optimization: Ability to schedule with different objectives: minimum cost, minimum duration or minimum inventory
Advanced Analytics: Scheduler uses advanced analytics capabilities for optimization of work order distribution and for prediction of add-on work orders
Pharma-focus & Expertise: Life-long partnership with SCW, a proven advisor to pharmaceutical manufacturer clients globally


How does it work?

Scheduler works hand-in-hand with OEE Tracker enabling machine learning
Scheduler distributes the work orders to the lines while obeying production constraints
Master Scheduler could effortlessly revise schedules via drag & drop gantt charts
Scheduler is highly configurable that can accommodate hot orders and schedule changes

How does it work?

Why you need it?

Why you need it?

Enable automatic and optimum scheduling that is transparent, data driven and live
Explore the true production potential of your facility
Find ways to minimize hidden losses and inefficiencies during scheduling
Reduce cost, increase capacity and improve your time to market