Course teached as: B028700 - GESTIONE DEGLI IMPIANTI INDUSTRIALI Second Cycle Degree in MECHANICAL ENGINEERING Curriculum GESTIONALE PRODUTTIVO
Teaching Language
Italian
Course Content
1) Analysis and diagnosis of production systems, management and design levers
2) Technical performance measurements for production systems
3) Industrial Plants' Maintenance Management
4) Waiting Queues Theory, Montecarlo Simulation
5) (only in 9 CFU master course) The discrete events stochastic simulation
6) (only for 6 CFU course for environmental engineers) Main mechanical parts and their faulure modes. Computerized Maintenance Management Systems.
Books Grando A. (1995), “Organizzazione e Gestione della Produzione Industriale”, Capitolo 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 S. Zacks, Introduction to Reliability Analysis: Probability Models and Statistical Methods, Springer-Verlag, 1992 More in deep Franceschini F., Galetto M., Maisano D. (2007), «Indicatori e misure di prestazione per la gestione dei processi», Il Sole 24 Ore, Milano 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 Papers Grando A. , Turco F. (2005), “Modelling plant capacity and productivity: conceptual framework in a single-machine case”, Production Planning & Control: The Management of Operations, 16:3, 309-322 Cigolini R., Grando A.(2009), “Modelling 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,” 2° Workshop dei Docenti e Ricercatori di Organizzazione Aziendale, Università degli Studi di Padova, 1 e 2 febbraio 2001, DIEGM, Università di Udine
Only 9 CFU course:
Kelton, Law, Simulation modeling and analysis, McGraw Hill.
Kelton, Law, Sadowsky, Simulation with Arena, McGraw Hill
Learning Objectives
To understand and assess the coherence between the production process and the product type, identifying the critical factors for the design and management of production facilities. Knowing how to define a technical performance measurement system for a manufacturing plant, to be used for diagnostic purposes. Having Knowledge of the main maintenance philosophies, their strengths and weaknesses, applicability and economic optimization. Developing skills for Reliability Centered Mainenance and Total Productive Maintenance. Being able to model the operations with tools such as Queuing Theory, the Montecarlo method
The 9 CFU course, or the 3 CFU laboratory associated, develop the skill to employ the discrete event stochastic simulation, in order to develop design and re-engineering solutions for the production systems and its management.
The teaching aims for the students enrolled in Environmental Engineering are partially different: they must learn how to approach mechanical aspect of plants, acquiring basic knowledge in order to correctly manage, besides the sanitary process aspects, even plant engineering assets , and the mechanical failures by which they are affected. They must know how to select the appropriate maintenance philosophy for the different assets and different use, and how to manage it using the proper information technology support.
Prerequisites
"Industrial Statistic" or "Probability and statistic"
Teaching Methods
Frontal lectures, training in IT laboratory or by BYOD based on industrial data logs analysis, discussion of cases.
For 9 CFU course: lectures immediately followed by training in IT laboratory or by means of BYOD
Further information
Examination dates upon request
Type of Assessment
For 9 CFU course, or for the 6 CFU together with 3 CFU laboratory:
Development of a group project work (no more than 5 students), using the scheduled hours for “industrial plant simulation laboratory”.
The oral examination will be based on the discussion of the project work developed, its theoretical bases, the methodologies employed.
The project work stems from the analysis of a log file produced by plan automation software, like MES records or SCADA logs, in order to diagnose strength and weakness of the functioning. The students have to propose solutions able to improve performance, assessed by means of a digital simulation model, validated AS IS, and compared with the TO BE solution. The group produces a technical report and an executive summary that is presented and discussed during the oral examination.
The mark is given taking into account the scientific bases, the assessment, methodologies, bibliographic references and results, weighting 80% for quality of the report and of its contents, and 20% for the answers given during the discussion.
Course program
For all the students:
1) Analysis and diagnosis of production systems, management and design levers 2) Technical performance measurements for production systems 2.a) Taxonomies and definitions 2.b) Problems related to the measurement and estimation of operations (Job Sampling) 2.c) Phenomena of resource congestion, queuing theory and queuing networks 2.d) The stochastic component of the process and its treatment, the Montecarlo method 3) Industrial Plants' Maintenance Management 3.a) Principles 3.b) Maintenance philosophie 3.c) Reliability, Maintainability and Availability 3.d) Reliability Centered Maintenance 3.e.) Condition Based Monitoring 3.f) Total Productive Maintenance 3.g.) The Maintenance Management Information Systems and their integration 4) Asset Lifecycle Management and Plant Lifecycle Management
Only for 6 CFU course for environmental engineering students:
5) Main mechanical parts subject to failures. Fault mods and their causes.
6) Computerized Maintenance Management Systems, their architecture, data bases and their use.
7) Maintenance engineering software tools and their use.
8) Performance measurements for selections and composting plants, and their use for the final testing
Only for 9 CFU course or with the 3 CFU laboratory:
1) The discrete events stochastic simulation
1.a) taxonomies and definitions
1.b) The process modeling
1.c) The proper use of simulation as an experimental tool
1 d) The preparation of input data, and the analysis of results
1.e) The statistical methods for the analysis and comparison of results
1.f) The design of experiments
1.g) Learning a simulation language like Arena or Simio (to be decided)
2) Elaboration of a project work aimed to improve the performance of a production system by means of simulation.
2.a) Analysis of the pieces of information available on an industrial process
2 b) Definition of the scenarios on which to evaluate the performance and the related need for information
2.c) Process modeling
2.d) Definition and development of the simulation model in Arena or Simio (to be decided)
2.e) Preparation of input data
2.f) Conduction of simulation experiments
2.g) Analysis of results and preparation of a technical report and an executive summary with recommendations for the executive officers of the plant