Business Objective: Produce polymer grades at optimal levels to meet customer demand on time, maximizing revenue and minimizing switching costs Key Solution:
- The solution provides Machine Learning (ML) based recommendation on optimum product mix to be targeted, in the form of a weekly production plan to maximize revenue
- Using the production plan, it further recommends optimal manufacturing sequence on the production line to reduce costs and improve time to market
- Various elements such as market conditions, plant conditions, technical constraints, inventory inputs, raw material supply and other production parameters were utilized to build the solution
Business Impacts & Outcomes:
- Reduced number of transitions generating additional 190 MT monthly production
- Increased EBITDA by 0.5 – 1%
