Optimizing capacity management: A machine learning approach for efficient fulfillment of urgent and time-critical orders

Abstract

Consider a capacity management situation with first-class orders that must be satisfied immediatley and second-class orders that must be satisfied before day 2, if not earlier. Expiring demand in excess of capacity is outsourced. A machine learning approach minimizes costs, comprised of fixed and variable in-house costs, and outsourcing costs.

Publication
34rd Production and Operations Management Society Annual Conference, April 25th-29th, Minneapolis, USA