Università Roma Tre

IT GIVES A FORMAL INSTRUMENTS TO MODEL INFORMATION FLOWS AND TO OPTIMIZE THE OPERATION MANAGMENT OF PRODUCTION SYSTEMS, IN PARTICULAR OF FLEXIBLE MANUFATURING SYSTEMS

Presentation of models, methods and tools for the definition, design and development of software systems that manage large sets of data. A student who has passed the course will be able to: (i) develop software applications that make use of databases of even high complexity, (i) design and built autonomously databases of medium complexity, and (iii) be involved in the project and development of large databases of high complexity.

Provide both methodological knowledge and practical skills on fuzzy logic and possibility theory focusing on the realization of process controllers and data processing for sensor data.

Provide basics and develop the necessary logics to understand the organizational behaviour of firms and institutions. Introduction to organizational analysis

THE COURSE AIMS AT PROVIDING BASIC METHODOLOGICAL AND OPERATIVE KNOWLEDGE TO REPRESENT AND COPE WITH DECISION PROCESSES AND QUANTITATIVE MODELS.

THE OBJECTIVE OF THE COURSE IS TO ENDOW THE STUDENTS WITH ADVANCED KNOWLEDGE FOR OPERATIONS PLANNING AND SCHEDULING IN MANUFACTURING AND LOGISTICS SYSTEMS. TOPICS INCLUDE DETERMINISTIC OPERATIONS RESEARCH METHODOLOGY FOR THE DESIGN OF DECISION SUPPORT SYSTEMS, MODELING, ALGORITHMS AND APPLICATIONS.

Provide to the students methodologies and techniques for the analysis and modeling of linear time-invariant systems by focusing on the state-space representation. Provide the knowledge for the design of feedback control systems. Derive the state-space model of Multi-Input Multi-Output systems. Provide the knowledge of the structural properties of MIMO dynamical models and the asymptotic observer for the eigenvalue assignment problem and the regulation problem. Provide knowledge about the optimal control for robotics applications. Provide basic concepts for the modeling and control of mobile robots.

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 FAMILIARISE THE STUDENT WITH THE USE OF THE MATLAB IDENTIFICATIONTOOLBOX.

To present the main aspects of the measures for the automation field.
In particular: processing of sensory data, estimation techniques for auto and cross-correlation, test signal generation, FFT based harmonic response estimation.

IT GIVES ADVACED KNOWLEGED TO MODEL SOLUTION FOR PRODUCTION PLANNING, IN PARTICULAR SCHEDULING PROBLEM FOR FLEXIBLE MANUFACTURING SYSTEMS.

The pourpose of this course is to analyse some issues of industrial organization with a focus on the italian economy, the competitiveness of italian firms, the challenges of globalization and the role of industrial and development policies in the context of the European Union framework

GIVE OPERATIVE KNOWLEDGE AND METHODS TO ORGANIZE AND MANAGE THE MANAGERIAL ACTIVITIES IN SYSTEMATIC MODE IN ALL PHASES THAT CHARACTERIZE THE CORPORATE DECISION-MAKING. DEFINITION OF THE PROBLEM, ITS FORMALIZATION. DEFINITION OF CONSTRAINTS, OBJECTIVES AND ALTERNATIVE, DEVELOPMENT OF ALGORITHMS AND METHODS FOR SOLUTION, EVALUATION, IMPLEMENTATION AND HOW TO CERTIFY SOLUTIONS AND PROCEDURES FOUND

ROBOTICS PROVIDES THE BASIC KNOW-HOW ON THE FOUNDATIONS OF ROBOTICS: MODELING PLANNING AND CONTROL. THE THEORY OF MANIPULATOR STRUCTURE ENCOMPASSES: KINEMATICS, STATICS AND TRAJECTORY PLANNING, THE TECHNOLOGY OF ACTUATORS, SENSORS AND CONTROL UNITS. ADVANCED INSTRUCTIONS IS GIVEN IN DYNAMICS AND MOTION CONTROL OF ROBOT MANIPULATORS AND THEIR INTERACTION WITH THE ENVIRONMENT USING EXTEROCEPTIVE SENSORY DATA.

IMPROVE the knowlegde of the TECHNOLOGies used in the implementation of a control system. Some real components in the area of transducers, actuators, microprocessors and data acquisition system will be discussed. The student, must be able , starting from a specification, to design the control system up to the level of details of a "bill of material", chosing the electronic and mechanical components. The control law has to be implemented by writing the code in C language on a commercial microcontroller.

MOLELLING AND CONTROL OF MIOBILE ROBOTS. SOME ARCHITRECTURES FOR SENSOR FUSION. NAVIGASTION ANN MAPPING WILL BE ANALYSED TOGHETHER WITH PLASNNING PROBLEMS.

Basic knowledge of the financial economic language by which the internal and external company relations and strategies are expressed. Developing of economic and financial evaluation of company operations. Analysis of interactions among internal organizational structures and analysis of financial and economis results drivers and measures.

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 ANALYSED, ALSO DISCUSSING THE DIFFERENCES BETWEEN PUSH AND PULL PRODUCTION SYSTEMS. THE COURSE FOLLOWS THE TRADITIONAL HYERARCHICAL 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 PREENTED. 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.

IT GIVES A FORMAL INSTRUMENTS TO MODEL INFORMATION FLOWS AND TO OPTIMIZE THE OPERATION MANAGMENT OF PRODUCTION SYSTEMS, IN PARTICULAR OF FLEXIBLE MANUFATURING SYSTEMS

Presentation of models, methods and tools for the definition, design and development of software systems that manage large sets of data. A student who has passed the course will be able to: (i) develop software applications that make use of databases of even high complexity, (i) design and built autonomously databases of medium complexity, and (iii) be involved in the project and development of large databases of high complexity.

Provide both methodological knowledge and practical skills on fuzzy logic and possibility theory focusing on the realization of process controllers and data processing for sensor data.

Provide basics and develop the necessary logics to understand the organizational behaviour of firms and institutions. Introduction to organizational analysis

THE COURSE AIMS AT PROVIDING BASIC METHODOLOGICAL AND OPERATIVE KNOWLEDGE TO REPRESENT AND COPE WITH DECISION PROCESSES AND QUANTITATIVE MODELS.

THE OBJECTIVE OF THE COURSE IS TO ENDOW THE STUDENTS WITH ADVANCED KNOWLEDGE FOR OPERATIONS PLANNING AND SCHEDULING IN MANUFACTURING AND LOGISTICS SYSTEMS. TOPICS INCLUDE DETERMINISTIC OPERATIONS RESEARCH METHODOLOGY FOR THE DESIGN OF DECISION SUPPORT SYSTEMS, MODELING, ALGORITHMS AND APPLICATIONS.

Provide to the students methodologies and techniques for the analysis and modeling of linear time-invariant systems by focusing on the state-space representation. Provide the knowledge for the design of feedback control systems. Derive the state-space model of Multi-Input Multi-Output systems. Provide the knowledge of the structural properties of MIMO dynamical models and the asymptotic observer for the eigenvalue assignment problem and the regulation problem. Provide knowledge about the optimal control for robotics applications. Provide basic concepts for the modeling and control of mobile robots.

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 FAMILIARISE THE STUDENT WITH THE USE OF THE MATLAB IDENTIFICATIONTOOLBOX.

To present the main aspects of the measures for the automation field.
In particular: processing of sensory data, estimation techniques for auto and cross-correlation, test signal generation, FFT based harmonic response estimation.

IT GIVES ADVACED KNOWLEGED TO MODEL SOLUTION FOR PRODUCTION PLANNING, IN PARTICULAR SCHEDULING PROBLEM FOR FLEXIBLE MANUFACTURING SYSTEMS.

The pourpose of this course is to analyse some issues of industrial organization with a focus on the italian economy, the competitiveness of italian firms, the challenges of globalization and the role of industrial and development policies in the context of the European Union framework

GIVE OPERATIVE KNOWLEDGE AND METHODS TO ORGANIZE AND MANAGE THE MANAGERIAL ACTIVITIES IN SYSTEMATIC MODE IN ALL PHASES THAT CHARACTERIZE THE CORPORATE DECISION-MAKING. DEFINITION OF THE PROBLEM, ITS FORMALIZATION. DEFINITION OF CONSTRAINTS, OBJECTIVES AND ALTERNATIVE, DEVELOPMENT OF ALGORITHMS AND METHODS FOR SOLUTION, EVALUATION, IMPLEMENTATION AND HOW TO CERTIFY SOLUTIONS AND PROCEDURES FOUND

ROBOTICS PROVIDES THE BASIC KNOW-HOW ON THE FOUNDATIONS OF ROBOTICS: MODELING PLANNING AND CONTROL. THE THEORY OF MANIPULATOR STRUCTURE ENCOMPASSES: KINEMATICS, STATICS AND TRAJECTORY PLANNING, THE TECHNOLOGY OF ACTUATORS, SENSORS AND CONTROL UNITS. ADVANCED INSTRUCTIONS IS GIVEN IN DYNAMICS AND MOTION CONTROL OF ROBOT MANIPULATORS AND THEIR INTERACTION WITH THE ENVIRONMENT USING EXTEROCEPTIVE SENSORY DATA.

IMPROVE the knowlegde of the TECHNOLOGies used in the implementation of a control system. Some real components in the area of transducers, actuators, microprocessors and data acquisition system will be discussed. The student, must be able , starting from a specification, to design the control system up to the level of details of a "bill of material", chosing the electronic and mechanical components. The control law has to be implemented by writing the code in C language on a commercial microcontroller.

MOLELLING AND CONTROL OF MIOBILE ROBOTS. SOME ARCHITRECTURES FOR SENSOR FUSION. NAVIGASTION ANN MAPPING WILL BE ANALYSED TOGHETHER WITH PLASNNING PROBLEMS.

Basic knowledge of the financial economic language by which the internal and external company relations and strategies are expressed. Developing of economic and financial evaluation of company operations. Analysis of interactions among internal organizational structures and analysis of financial and economis results drivers and measures.

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 ANALYSED, ALSO DISCUSSING THE DIFFERENCES BETWEEN PUSH AND PULL PRODUCTION SYSTEMS. THE COURSE FOLLOWS THE TRADITIONAL HYERARCHICAL 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 PREENTED. 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.