Studying at the University of Verona
Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.
Study Plan
The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.
1° Year
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2° Year activated in the A.Y. 2021/2022
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1 module among the following (1st year: Big Data epistemology and Social research; 2nd year: Cybercrime, Data protection in business organizations, Comparative and Transnational Law & Technology)2 courses among the following (1st year: Business analytics, Digital Marketing and market research; 2nd year: Logistics, Operations & Supply Chain, Digital transformation and IT change, Statistical methods for Business intelligence)2 courses among the following (1st year: Complex systems and social physics, Discrete Optimization and Decision Making, 2nd year: Statistical models for Data Science, Continuous Optimization for Data Science, Network science and econophysics, Marketing research for agrifood and natural resources)2 courses among the following (1st year: Data Visualisation, Data Security & Privacy, Statistical learning, Mining Massive Dataset, 2nd year: Machine Learning for Data Science)Legend | Type of training activity (TTA)
TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.
Logistics, operations & supply chain (2021/2022)
Teaching code
4S009072
Teacher
Coordinator
Credits
6
Language
English
Scientific Disciplinary Sector (SSD)
SECS-P/08 - MANAGEMENT
Period
Primo semestre dal Oct 4, 2021 al Jan 28, 2022.
Learning outcomes
The course provides a consistent knowledge of the activities and processes of logistics concerning the following operations: supply management, inventory and warehouse management, production planning and demand planning, distribution and service to the customer. The course also aims to deepen the tools that allow to achieve customer satisfaction, from a business to business and business to consumer perspective, integrating the activities of planning, implementation and control of logistics with the efficient and effective management of customer service .
At the end of the course the student has to show to have acquired the following skills:
● knowledge of the main characteristics of the following topics: Logistics management, warehousing and inventory management; global customer service and LSA (Logistics and Service Agreements); demand planning; supply chain strategy (lean-agile); transportation management; e-commerce, distribution management and retail
● ability to understand and develop outsourcing and process optimization solutions.
● ability to develop solutions aimed at customer satisfaction (BtB and BtC)
● ability to integrate planning and organization activities in the logistics sector
Program
The course will present the application of data science’s approaches and tools on the following themes:
Logistics management
Supply chain management and network design
Warehousing and inventory management
Demand planning and management
Production strategy (lean-agile)
Transportation management and optimization
Distribution management and retail management
Outsourcing and process optimization
Global customer service and LSA (Logistics and Service Agreements);
Service and E-commerce
The Course is structured in lessons (using slides), working groups and case studies. Lecturers from European/north-american universities and managers from companies will participate in the course as invited speakers. An assignment is finally proposed to students as additional work during the course.
The Course will run between October and December.
Bibliography
Examination Methods
The final exam is written and includes theoretical open questions and multiple-choice questions. Online registration is needed.
The final grade is based on the sum of the final exam grade and the evaluation of an (opitional) project work, which will be assigned during the course.
The project work consists of the development of a business case and adds a maximum of 3 points to the final grade.
