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Course
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Credits
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Scientific Disciplinary Sector Code
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Contact Hours
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Exercise Hours
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Laboratory Hours
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Personal Study Hours
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Type of Activity
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Language
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Optional group:
Curriculum Automazione dei Sistemi Complessi: I ANNO uno a scelta tra tre insegnamenti - (show)
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6
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20802073 -
Optimization of Public Services
(objectives)
This course gives a compendium of techniques, methods and solution
approaches to support the decision making process in the public sector. The
course is based on case studies concerning the design and the management of
public services and it is focused on the development of optimization models
and solution algorithms. Ethical and political issues, typical of the public
sector, are also addressed
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D'ARIANO ANDREA
( syllabus)
Course programme
1. Introduction to Multi-Criteria Decision Making for Public Service Management Problems
2. Optimization in Project Planning and Scheduling
3. Disjunctive Programming: Scheduling and Routing Models, (Meta)Exact /Heuristic Algorithms
4. Reservations Systems and Interval Scheduling
5. Timetabling with Operator or Tooling Constraints
6. Scheduling and Timetabling in Sport Tournaments
7. Scheduling Network Television Programs
8. Transportation Problems: Tanker/Aircraft/Train Coordination, Scheduling and Routing
9. Decision Support Systems for Real-Time Dispatching of Operations
10. Workforce Scheduling: Days-Off Scheduling, Shift Scheduling, Cyclic Staffing
11. Airline Crew Scheduling
12. Discrete Location Problems
13. Water and Air Quality Management
14. Health Care Delivery
( reference books)
Michael L. Pinedo (Author) “Planning and Scheduling in Manufacturing and Services”, Springer Series in Operations Research, Edition 2005
S.M. Pollock, M.H. Rothkopf, A. Barnett (Editors), “Operations Research and the Public Sector”, Handbooks in Operations Research and Management Science, Volume 6, Edition 1994
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6
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MAT/09
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54
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-
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-
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-
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Related or supplementary learning activities
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ITA |
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20810530 -
Macroeconomics
(objectives)
This course provides students with a comprehensive overview of strategic management in organizations, combining management principles with economic and marketing concepts. The course is designed to examine principles, techniques, and models of organizational and market analysis, and discuss the theory and practice of business strategy formulation and implementation. It also focuses on strategic marketing, consumer behavior, and corporate communication as fundamental elements in the development of any business strategy.
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FRONZETTI COLLADON ANDREA
( syllabus)
The course is designed to introduce key concepts of strategic management and marketing, combined with elements of economics and business. Students are also guided in applying these concepts to real business cases.
In detail, the main topics covered include:
- Strategic marketing framework (5C) and G-STIC action plan
- Porter’s Five Forces and SWOT analysis
- Marketing strategy and tactics
- Consumer behavior, customer value creation, and CRM
- Market targeting and segmentation
- Creating value for the company and its stakeholders
- Gaining and defending market position
- Product and service management
- Brand management
- Communication and incentive management
- Persuasion and cognitive biases in sales and managerial decisions
- Pricing management
- Personal selling and retail sales strategies
- Creativity, innovation, and development
The course also includes case studies and practical exercises.
A more detailed syllabus is provided by the instructor on the Moodle platform.
( reference books)
Chernev, A. (2019). Strategic Marketing Management: Theory and Practice. Cerebellum Press.
La Bella, A. & Capece, G. Manuale di Direzione d'Impresa, Franco Angeli. (ONLY THE CHAPTER NAMED "Creatività, Innovazione e Sviluppo")
Elective reading:
- Roberts, K. Lovemarks, powerHouse Books
- Cialdini, R. Influence: The Psychology of Persuasion, Revised Edition. Harper Business
All the materials made available by the teacher on the Moodle platform are part of the course and their study is necessary to pass the final exam. They are provided in addition to the textbooks listed here.
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6
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ING-IND/35
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54
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-
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Related or supplementary learning activities
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ITA |
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Optional group:
Curriculum Automazione dei Sistemi Complessi: I ANNO due a scelta tra quattro insegnamenti - (show)
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12
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20810529 -
Cybersecurity for Industrial IoT and Critical Infrastructures
(objectives)
The objectives will be the study and comprehension of systems of system theory and the modeling of large infrastructures (distribution networks, telecommunication networks, transportation networks). Interdependencies among different infrastructures will be analyzed with the aim of evaluating the distributed risk and designing resilient systems. Service oriented architectures will be studied as well as distributed awareness systems.
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PANZIERI STEFANO
( syllabus)
Interdipendency and complexity within infrastructural systems and in emergency management. CISIApro 2.0. NIS directive. Control rooms. GDPR. Introduction to risk analysis in interdependent systems. MHR modelling. Complex networks.
Vulnerability of industrial control systems. Cyber attacks to ICS. Smart Behavioral Filter. Hands-on ICS.
Decision Support Systems. Building Automation Systems. Smart Cities. Introduction to IoT. IoT Database. Iot Cloud.
( reference books)
Notes of the professor
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6
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ING-INF/04
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54
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-
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-
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-
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Core compulsory activities
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ITA |
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20801966 -
INDUSTRIAL PRODUCTION MANAGEMENT
(objectives)
This course is aimed at providing the basic methodological tools required for production planning and control in manufacturing systems. Specific methods used in make to stock, assemble to order, make to order, and engineering to order are analyzed, also discussing the differences between push and pull production systems. The course follows the traditional hierarchical approach including aggregate production and capacity planning, master production scheduling, materials and manufacturing resources requirements planning (MRP and CRP techniques), order release planning and job scheduling. furthermore, techniques for demand forecasting and implementation of just in time lean manufacturing systems are presented. The course also provides tools to estimate the performances of manufacturing systems, i.e. the links between work in process, throughput and cycle time, including variability effects and lot sizing decisions. finally, production planning decisions are put in perspective with strategic decisions, with capacity planning issues and with inventory management problems.
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CAPUTO ANTONIO CASIMIRO
( syllabus)
The industrial enterprise
Organization and scope of industrial enterprise. Classification of production systems. Analysis of production processes (process mapping and performance estimation). Little’s law. Impact of flow and process variability on main performance measures. Analysis of lot size effects on capacity, lead time and manufacturing cost. Lot sizing criteria in repetitive manufacturing.
Demand forecast
Analysis of demand variability components (random fluctuations, trends, seasonality). Classification of quantitative and qualitative forecasting methods. Linear regression causal models, time series methods (moving averages, exponential smoothing) and seasonal forecasting methods. Estimation of forecast error. Demand estimation for new products: market size and market penetration dynamics (Bass model).
Fundamentals of production planning and control
Analysis of P-Time and D-Time. Push and Pull production systems. Make to Stock, Assemble to Order, Make to Order ed Engineering to Order systems. The hierarchical production planning framework.
Aggregate planning
Alternatives to match production and demand. Trial and error aggregate planning methods (chase, level and mixed plans). LP models for the aggregate planning problem.
Master production scheduling
Criteria to disaggregate an aggregate plan and methods to develop a Master Production Schedule (MPS) based on items forecast and firm orders. Etsimation of Available to Promise capacity. Difference of MPS in MTS and ATO settings.
Requirements planning
MRPI and II methods. Capacity Requirements Planning. Lot sizing criteria for materials requirements planning. Limitations of MRP systems.
Operational planning and manufacturing execution
Final Assembly Schedule and operational plans. Criteria for job release and queues control. Heuristic rules for job scheduling and priority assignment. Production advancement and control systems.
Pull production systems
Kanban method and production leveling techniques. Methods for sequencing mixed model assembly lines. CONWIP. Comparison of push and pull systems.
Inventory management
Classification and scope of inventories. Relevant costs in inventory management. Management of dependent demand materials: economic order quantitym reorder cycle and reorder level policies. Service level and computation of safety stock. Benefits of safety stock pooling. Management of dependent demand items: lot by lot and dynamic lot sizing techniques. Newsboy model and single period order sizing. ABC classification and warehouse performance measures.
( reference books)
Lecture notes provided by instructor and uploaded on Moodle web site.
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6
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ING-INF/04
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54
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-
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Core compulsory activities
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ITA |
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20810400 -
ADVANCED CONTROL SYSTEMS
(objectives)
The course aims to provide solid mathematical principles for understanding interconnected dynamical systems, also known as multi-agent distributed systems, with particular attention to the Perron-Frobenius theory.
The learning objectives of the course include an understanding of dynamic phenomena related to multi-agent systems, including consensus, as well as the ability to design and analyze distributed algorithms for such systems.
During the course knowledge will be acquired in the analysis of multi-agent dynamical systems using matrix and graph theory. In particular, mathematical methods will be proposed to analyze matrices with non-negative components, representing the interconnection between heterogeneous actors, in order to identify the structural properties of the underlying network.
During the course students will deepen the analysis of interconnected dynamical systems through matrix and graph theory, working on examples to better understand the concepts presented.
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CAVONE GRAZIANA
( syllabus)
Introduction to multi-agent systems
Review of matrix theory with emphasis on Perron-Frobenius theory
Graph theory and algebraic graph theory
Stability analysis for connected systems
Examples of coordination of multi-robot systems
Introduction to Model Predictive Control and mathematical fundamentals
Formulation of the MPC Problem
Stability of MPC
MPC for Multi-agent Systems
( reference books)
- F. Bullo, Lectures on Network Systems, CreateSpace Independent Publishing Platform, ISBN 978-1986425643, 2022
- Camacho, E. F., & Bordons, C., Model Predictive control, Springer, ISBN: 978-1-85233-694-3, 2013.
- Lecture notes
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LIPPI MARTINA
( syllabus)
- Introduction to multi-agent systems
- Review of matrix theory with emphasis on Perron-Frobenius theory
- Graph theory and algebraic graph theory
- Stability analysis for connected systems
- Examples of coordination of multi-robot systems
- Introduction to Model Predictive Control and mathematical fundamentals
- Formulation of the MPC Problem
- Stability of MPC
- MPC for Multi-agent Systems
( reference books)
- F. Bullo, Lectures on Network Systems, CreateSpace Independent Publishing Platform, ISBN 978-1986425643, 2022
- Camacho, E. F., & Bordons, C., Model Predictive control, Springer, ISBN: 978-1-85233-694-3, 2013.
- Lecture notes
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6
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ING-INF/04
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54
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Core compulsory activities
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ITA |
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Optional group:
Curriculum Automazione dei Sistemi Complessi I anno : uno a scelta tra quattro insegnamenti - (show)
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6
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20810205 -
Digital entrepreneurship
(objectives)
Provide students with technical and methodological skills
necessary to conceive, develop and implement a digital business project.
The course will be divided into three parts. The first part aims to explain the reasons behind the success of digital companies (especially, but not only, startups) and digital innovation dynamics. The second part offers students the technical and methodological tools for the realization of a digital business project. The third part consists in the realization of a project and is characterized by a strongly experimental approach.
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6
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ING-INF/05
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54
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Core compulsory activities
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ITA |
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20810158 -
Model Identification and Data Analysis
(objectives)
Introduce the student to the fundamentals of system identification applied to sampled systems (ARX and ARMAX model, ordinary least squares, recursive least squares, bayesian filtering). Introduce the student to sensor fusion. To familiarize the student with the use of the MatLab identification toolbox
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PASCUCCI FEDERICA
( syllabus)
Dynamical models of stationary processes and prediction
- Physical laws in engineering and science
- Stochastic processes
- Models for filtering, prediction and control: Input-output models for time series and dynamical systems (AR, ARMA, ARX, ARMAX)
Identification
- Black-box identification (Least Squares and Maximum likelihood methods)
- Model complexity selection
- Cross-validation, FPE (Final Prediction Error), AIC (Akaike Information Criterion) or MDL (Minimum Description Length) techniques
- Recursive identification methods (RLS,ELS,RML). Adaptation via forgetting factor techniques
Bayesian filtering
- The state estimation problem. Filtering, prediction and smoothing.
- Kalman filter, steady-state filter Extended Kalman filter
- Unscented transformation, Unscented Kalman filter
- Grid-based filtering
- Particle filtering
Distributed filtering
- Information filter
- Extended Information filter
( reference books)
Sergio Bittanti, "Model Identification and Data Analysis", John Wiley and Sons Ltd
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6
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ING-INF/04
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54
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-
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-
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Core compulsory activities
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ITA |
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20410163 -
ELECTIVE CFU (SELECTED BY THE STUDENT)
(objectives)
The 12 credits of the student's free choice can be used to take exams by freely choosing from the exams offered by the University.
Some rules and some indications:
eligibility cannot be chosen
it is strongly recommended to include only exams offered by the Department of Engineering or check with the teacher of another department the availability of the activity
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6
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54
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Elective activities
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ITA |
Università Roma Tre