1) Analysis and diagnosis of production systems, management and design levers 2) Technical performance measurements for production systems 3) Industrial Plants' Maintenance Management 4) Asset Lifecycle Management and Plant Lifecycle Management
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
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 discrete event stochastic simulation, in order to develop design and re-engineering solutions for the production systems and its management.
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.
Further information
Examination dates upon request
Type of Assessment
The oral examination will be based on the discussion of the project work developed in the "Laboratory of Industrial Plants Simulation"
Course program
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