Unit SUPPLY CHAIN MANAGEMENT
- Course
- Engineering management
- Study-unit Code
- A005309
- Curriculum
- In all curricula
- Teacher
- Lorenzo Tiacci
- Teachers
-
- Lorenzo Tiacci
- Hours
- 72 ore - Lorenzo Tiacci
- CFU
- 9
- Course Regulation
- Coorte 2025
- Offered
- 2025/26
- Learning activities
- Caratterizzante
- Area
- Ingegneria gestionale
- Academic discipline
- ING-IND/17
- Type of study-unit
- Obbligatorio (Required)
- Type of learning activities
- Attività formativa monodisciplinare
- Language of instruction
- English
- Contents
- Strategic framework for the supply chain
Designing the supply chain network
Planning demand and supply
Planning and managing inventories in a supply chain
Designing and planning transportation networks - Reference texts
- S. Chopra, P. Meindl – Supply Chain Management – Pearson L. Tiacci - Inventory Management in Supply Chain - Mathematical models and their applications.
- Educational objectives
- The aim of the course is to provide the basic knowledge for the design and management of a supply chain, in order to optimize the performances in terms of cost reduction and satisfaction of the level of service required.
The main knowledge acquired will be:
supply chain definitions and classifications, drivers and metrics for performance measurement.
Theoretical knowledge related to the design of distribution networks
Theoretical knowledge related to the design of supply chain nodes through MIP models.
Theoretical knowledge on the characteristics of specific supply chains, such as those relating to perishable or seasonal items.
Theoretical knowledge on the factors influencing decision making in transport planning.
The main skills will be:
application of forecasting techniques on historical data for the calculation of future needs
Ability to set up sales and operation plans (S&OP)
Ability to set up inventory management policies for perishable or seasonal items
Ability to implement algorithms for vehicle scheduling and routing. - Prerequisites
- In order to understand and to apply most of the techniques described in the course it is essential the knowledge of the following topics:
- Integral, indefinite integrals, multi-variable functions, maximum and minimum bounded
- Probability density functions, basic concepts of statistics.
It is also important to have succesfully taken an exam about Facilities Planning and Production Planning and Control. - Teaching methods
- The course is organized as follows:
- Theoretical lessons on all topics of the program
- Classroom exercises consisiting in solving practical problems
The exercises are held during class time, and immediately follow the theoretical lesson to which they refer - Other information
- Attendance is not compulsory but strongly adviced.
- Learning verification modality
- The exam consists of a written exam and an oral exam.
The written exam consists in an exercise in which the student has to solve a problem that is usually faced in the design and management of a supply chain. The exercise aim is to determine the ability to correctly apply the theoretical knowledge, the understanding of the issues proposed, and the concentration ability needed to perform correctly the calculation needed to solve the problem. The test duration is approximately 1h 30m
The oral exam consists of 3 questions designed to ascertain the level of knowledge and understanding of the issues on theoretical and methodological aspects of the program. The duration of the test is about 30 min. - Extended program
- Strategic framework for the supply chain: understanding the supply chain, performances, drivers and metrics
Designing the supply chain network: designing the Distribution Network, Network Design in the supply chain
Planning demand and supply : demand forecasting, aggregate planning, sals and operations planning
Planning and managing inventories in a supply chain: Style goods and perishable items, multi-echelon supply chain.
Designing and planning transportation networks: the role of transportation, factors affecting transportation decisions, design options for a transportation network, routing and scheduling in transportation - Obiettivi Agenda 2030 per lo sviluppo sostenibile