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.