Abstract
The objective of this work is to develop an optimization model for the medium-term planning of single stage continuous multiproduct plants. Several types of SKUs (Stock Keeping Units) are produced. Customers place orders that represent multiples of SKUs and these orders must be delivered at the end of each week. When different SKU types are processed, sequence-dependent changeover times and costs are incurred. The problem is represented as a mixed-integer linear programming (MILP) model with a hybrid time representation. The objective is to maximize profit that involves sales revenues, production costs, product changeover costs, inventory costs and late delivery penalties. The proposed optimization-based model is validated in a real-world polymer processing plant.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
