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20801784 LOGISTICS OPTIMISATION in Management and automation engineering LM-32 PACCIARELLI DARIO
(syllabus)
1. Non-linear programming Gradient, Hessian Local minimum, Necessary conditions (first and second order) Local minimum, Sufficient conditions (secondo order and convex case) Gradient method, Line search Newton method, 2. Constrained non-linear programming KKT conditions Barrier method and Penalty functions 3. Lot Sizing EOQ model Wagner-Whitin Algorithm Zangwill Algorithm 4. Job Shop Scheduling Exact methods, Carlier-Pinson Algorithm Euristhic methods, Nowicki-Smutnicki Algorithm 5. Vehicle Routing Problem 6. Crew Scheduling 7. Plant Location
(reference books)
Lecture notes
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