Expanding scope and computational challenges in process scheduling

Pedro M. Castro, Ignacio E. Grossmann, Qi Zhang

Abstract: Highlights•Overview enterprise-wide optimization and challenges in multiscale temporal modeling and integration of different models.•Review Generalized Disjunctive Programming (GDP) as a new modeling paradigm for scheduling problems.•Simultaneous scheduling and heat integration, pipeline scheduling, crude oil and refined products blending, demand side management.•Global optimization strategy for blending and multistage affinely adjustable robust optimization for interruptible load.•Integration of planning and scheduling with traveling salesman constraints: multiperiod refinery planning, multisite planning and scheduling.