Insegnamento mutuato da: B028700 - GESTIONE DEGLI IMPIANTI INDUSTRIALI Corso di Laurea Magistrale in INGEGNERIA GESTIONALE
1) Analysis and diagnosis of production systems, design and management levers.
2) Technical performance measurements for production systems.
3) Industrial Plant Maintenance Management, Engineering Assets Management
4) Tools for analyzing the typical phenomena of production systems. Queue Theory, Montecarlo Method.
5) The stochastic event simulation.
Grando A. (1995), "Organizzazione e Gestione della Produzione Industriale", Chapter I, EGEA, Milano
Furlanetto L., "Manuale di manutenzione degli impianti industriali", Franco Angeli, 1998
Furlanetto L., Garetti M., Macchi M., Ingegneria della Manutenzione, Franco Angeli, 2007
Furlanetto L., Garetti M., Macchi M., Principi generali di gestione della manutenzione, Franco Angeli, 2012
Furlanetto L., Garetti M., Macchi M., Pianificazione, organizzazione e gestione tecnico—economica della manutenzione, Franco Angeli, 2011
Kelton, Law, Simulation modeling and analysis, McGraw Hill.
Kelton, Law, Sadowsky, Simulation with Arena, McGraw Hill
Franceschini F., Galetto M., Maisano D. (2007), «Indicatori e misure di prestazione per la gestione dei processi», Il Sole 24 Ore, Milan
Higgins, L.R., Maintenance Engineering, McGraw Hill, 1995
Levitt J., Handbook of Maintenance Management, Industrial Press Inc., 1997
Palmer D., Maintenance Planning and Scheduling Handbook, McGraw Hill, 1999
Campbell J.D., Uptime, Strategies for excellence in Maintenance Management, Productivity Press, 1995
Wireman T., World Class Maintenance Management, Industrial Press Inc., 1990
Wireman T., Developing Performance Indicators for Managing Maintenance, Industrial Press Inc., 1998
Grando A., Turco F. (2005), "Modeling plant capacity and productivity: conceptual framework in a single-machine case", Production Planning & Control: The Management of Operations, 16: 3, 309-322 Insights:
Cigolini R., Grando A. (2009), "Modeling capacity and productivity of multi-machine systems", Production Planning & Control: The Management of Operations, 20: 1, 30-39
De Toni A., Tonchia S., "La Flessibilità Dei Sistemi Produttivi: concettualizzazioni e misurazioni sul campo", 2nd Workshop of Professors and Researchers of Business Organization, University of Padua, 1 and 2 February 2001, DIEGM, University of Udine
Only for 9 CFU course:
Teaching material: slides available on Moodle
Understanding and to knowing how to assess the consistency between the production process and the type of product, identifying the critical factors for the management relating to the design and management of production plants (cc3, widening of knowledge in the technological and managerial field, and use of factors of production).
Knowing how to define a system for measuring the technical performance of a production plant, to be used for diagnostic purposes (cc3 measurement of factor productivity performance, cc4 specific measures of reliability, dependability, availability, maintainability).
Knowing the main maintenance philosophies, their strengths and weaknesses, their applicability and their economic optimization.
Developing Reliability Centered Mainenance and Total Productive Maintenance competencies, total quality concepts applied to maintenance (cc4, ca6 capacity to critically evaluate the performance of reliability, dependability, availability, maintainability).
Knowing how to model operations with tools such as queueing theory, the Montecarlo method (ca5, stochastic modeling and uncertainty).
In the most applicative part of the course the ability to use event simulation is developed, in order to develop design and reengineering solutions for plants and their management (ca1 stochastic simulation, ca5, ca7 solution of industrial problems in the presence of constraints not only technicians).
In addition to the specific educational objectives of the subject, the course aims to develop and consolidate the following transversal comprehension skills, such as: understanding the interdisciplinary nature of management engineering problems, with the need for a problem-solving approach, which starts from the problem for tracing the causes and possible countermeasures to address them (cc7); an understanding of the techniques and methods applicable in relation to their potential and limits (cc8).
The practical skills of applying knowledge and understanding will also be developed, such as: the ability to identify, locate and obtain data and information necessary for assessment; the ability to critically evaluate data and results and draw appropriate conclusions, aware of the degree of uncertainty that could affect them, the advanced ability to operate effectively, individually and as members of a group, having clear the context of the engineering problem and the interdisciplinary implications that distinguish industrial engineering; the ability to present in written, verbal and, possibly, multimedia form., its own arguments and the results of its study or work, with characteristics of organic unity and technical rigor; the adequate ability to understand the sources in English; the ability to reach adequate preparation to be able to access the third level of university studies (attendance at second level professional masters and doctoral schools), in order to further deepen knowledge and skills in the field of research.
Mathematical bases, industrial statistic.
Lectures, computer lab or BYOD assisted exercises with industrial data analysis, case discussions.
Development of a project work in groups (max 5 students) based on the analysis of the performance of a production case or a maintenance service, based on log file from MES or SCADA, not satisfactory performance diagnostics, construction of a simulation model AS IS and its validation. Conducting statistical tests to compare the performance of the modified TO BE simulation model to test the effectiveness of the hypothesized solutions.
Outside the lesson/laboratory scheduled time (72 hours), it is an important educational a training moment groups work together with the teacher for the review of the projects and the discussion of the problems encountered and the solutions identified.
Examination lists on https://studenti.unifi.it/auth/Logon.do?EnableRwd=1
Type of Assessment
Oral examination concerning the presentation by the project work by the group.
The results, methods, scientific bases of literature are the subject of the questions on which the profit evaluation is formulated, taking into account for 80% of the mark, the quality of work and for 20%, the answers given. Having already used many of the knowledge and skills developed in the course for the project work, demonstrating as a matter of fact that they have mastered it, the questions posed to the individual members of the group deepen from a more theoretical point of view the foundations on which the methods are based.