Production Planning & Sequence Optimization for a Polymers Manufacturer

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%