Operations Scheduling

Scheduling sits at the heart of operations: given limited machines, people, or time slots and a pile of competing jobs, how do you decide what runs when? You'll work through single-machine and job-shop models, build heuristics and local-search methods when exact algorithms get intractable, and apply the same ideas to timetabling, reservations, and crew assignment via homework sets and a term project. Coming after the core OR sequence, it shows how the LP, IP, and combinatorial tools you already know turn into actual decisions in factories, airlines, and hospitals, which is why this material shows up in nearly every downstream production and service-systems elective.