Ateneo - UPO

Linear programming, project management, queueing theory, inventory management.

- Bellenzier L., Grassi R., Stefani S., Torriero A., Metodi quantitativi per il Management, Esculapio, 2012.

- Hillier S., Lieberman G.J., Ricerca Operativa, 9/ed., McGraw Hill, 2010 (please follow the instructions published on the DIR site)

At the end of the course, the student should know the technical instruments of operation management, in order to solve simple management problems using a quantitative approach. They should learn concepts and terminology of some optimization procedure techniques and project management. They should also be able to apply quantitative methods to simple problems also using Excel and to justify in a sufficiently rigorous way the implemented solutions.

Solution of Linear Algebraic systems. Notions of random variable and probability distribution. Basic differential calculus in one or more variables.

Lectures and practise exercise and computer laboratory.

Students with physical disabilities, Learning Disabilities or Special Education Needs can request specific services and tools via the Staff Sviluppo e Coordinamento Carriere e Servizi alle Studentesse e agli Studenti, consulting the University webpage: https://www.uniupo.it/en/services/servicesstudents-physical-or-learning-disabilities Students with disabilities, learning disabilities or special education needs, once they have contacted the University Staff, can refer to the tutor in charge of the course to define the examination modalities, concerning academic aspects.

Written exam:
- three exercises to verify the ability of applying the studied techniques to practical problems and/or to discuss the results,
- one theoretical question to assess the knowledge level and the technical language.

The exam can be replace by one mid-term exam plus one final exam the week after the end of the course.

Linear programming: examples, definitions, simplex algorithm and its implementation in Excel. Duality, sensitivity analysis with exemplifications in Excel, Integer Linear Programming (HINT).
Project management: project graphs, Gantt chart, CPM and PERT.
Queueing theory: definition and properties of a queueing system, Markovian queue.
Inventory management: Economic order quantity model with deterministic demand, one period model with random demand, basic idea of the dynamic programming technique.

At the end of the course the student will have acquired the knowledge of the analytical methods introduced and the ability to apply the techniques studied to practical problems, arguing the results with appropriate technical language.