OPERATIONS AND MAINTENANCE MANAGEMENT IN SMART MANUFACTURING SYSTEMS

VALENTINA DI PASQUALE OPERATIONS AND MAINTENANCE MANAGEMENT IN SMART MANUFACTURING SYSTEMS

0623000007
DEPARTMENT OF INDUSTRIAL ENGINEERING
EQF7
SMART INDUSTRY ENGINEERING
2024/2025

OBBLIGATORIO
YEAR OF COURSE 1
YEAR OF DIDACTIC SYSTEM 2021
SPRING SEMESTER
CFUHOURSACTIVITY
990LESSONS
Objectives
OBJECTIVES

THE COURSE HAS THE OBJECTIVE OF PROVIDING STUDENTS WITH THE METHODOLOGIES AND TOOLS FOR MANAGING OPERATIONS AND MAINTENANCE IN ADVANCED PRODUCTION SYSTEMS, CONSIDERING THE NEW TECHNOLOGIES AND REFERENCE MODELS DEVELOPED FOR THE SMART FACTORY.

LEARNING SKILLS
THE EXPECTED LEARNING OUTCOMES CONCERN THE CRITERIA AND METHODS FOR THE DESIGN OF PRODUCTION SYSTEMS THROUGH THE USE OF SIMULATION AND DIGITAL TWIN TOOLS AND TECHNIQUES, THE GENERAL SIZING AND ECONOMIC ANALYSIS OF INVESTMENTS IN 4.0 TECHNOLOGIES, THE MAIN ELEMENTS FOR THE ORGANIZATION OF THE PHYSICAL AND INFORMATION FLOWS OF THE INDUSTRIAL PLANTS, THE METHODOLOGIES FOR THE INTEGRATED MANAGEMENT OF THE OPERATIONS OF THE PRODUCTION SYSTEM, THE MAIN TECHNIQUES FOR PLANNING, PROGRAMMING AND PRODUCTION CONTROL, THE MAINTENANCE PROCESS WITHIN THE SMART FACTORY, WITH PARTICULAR ATTENTION TO THE MOST ADVANCED TECHNIQUES FOR MAINTENANCE MANAGEMENT AND TO THE SYSTEMS AIMED AT DEFINING, MONITORING AND IMPROVING PERFORMANCE.

KNOWLEDGE AND UNDERSTANDING
THE MAIN KNOWLEDGE ACQUIRED WILL BE: INDUSTRY 4.0 PARADIGM, TECHNOLOGIES AND REFERENCE MODELS FOR THE SMART FACTORY; MAIN COMPONENTS OF AUTOMATED PRODUCTION, HANDLING AND STORAGE SYSTEMS; COLLABORATIVE CELLS; ENABLING TECHNOLOGIES TO SUPPORT THE WORKFORCE AND THE MAINTENANCE PROCESS; CRITERIA AND METHODS FOR THE DESIGN OF ADVANCED PRODUCTION SYSTEMS; PRODUCTION PLANNING AND SCHEDULING TECHNIQUES; TECHNIQUES FOR OPERATIONAL PROGRAMMING AND ADVANCED SCHEDULING; MAIN SMART MAINTENANCE POLICIES; PERFORMANCE OF MAINTENANCE SYSTEMS; MAINTENANCE INFORMATION SYSTEMS.

APPLYING KNOWLEDGE AND UNDERSTANDING
THE STUDENT WILL BE ABLE TO UTILIZE SIMULATORS FOR THE DESIGN AND SIZING OF AUTOMATED HANDLING AND STORAGE SYSTEMS; ANALYZE THE CONVENIENCE AND FEASIBILITY OF INVESTMENTS IN ENABLING TECHNOLOGIES; SET UP THE SALES AND OPERATION PLAN AND THE MASTER PRODUCTION SCHEDULE; BUILD AN MRP TO DETERMINE THE COMPONENT REQUIREMENTS AND SET THE ORDER ISSUING PLAN; SET UP AND VERIFY A SCHEDULE OF DEPARTMENTAL ACTIVITIES, VERIFY THE EFFECTS OF THE PROGRESS OF THE PRODUCTION PHASES; DEVELOP MONITORING DASHBOARDS FOR MEASURING AND EVALUATING PRODUCTION AND MAINTENANCE KPIS; IMPLEMENT PREVENTIVE/PREDICTIVE MAINTENANCE PLANS ON INDUSTRIAL SYSTEMS; IMPLEMENT METHODS FOR SUSTAINABLE AND SMART MANAGEMENT OF MAINTENANCE AND INDUSTRIAL ASSETS.

MAKING JUDGEMENTS
THE STUDENT WILL BE ABLE TO SELECT THE RIGHT METHODOLOGY AND THE APPROPRIATE TOOL, ANALYZING PRO AND CONS OF EACH POSSIBLE SOLUTION, FOR THE DESIGN, THE MANAGEMENT AND THE CONTROL OF SMART AND ADVANCED MANUFACTURING SYSTEMS. MOREOVER, HE/SHE WILL BE ABLE TO EVALUATE THE RESULTS ACHIEVED THROUGH THE APPLICATION OF THE MAIN TECHNIQUES, TO MEASURE AND CONTROL THE SYSTEM PERFORMANCE GIVING A CRITICAL JUDGEMENT OF THE RESULTS.

COMMUNICATION
THE STUDENT WILL BE ABLE TO COMMUNICATE AND EXPLAIN, WITH THE PRECISE TECHNICAL TERMS, ISSUES INHERENT THE OPERATIONS AND MAINTENANCE MANAGEMENT IN SMART MANUFACTURING CONTEXTS. HE/SHE WILL BE ABLE TO PROPOSE, IN A CONCISE AND EFFECTIVE WAY, THE RIGHT SOLUTION/METHODS/TECHNIQUE MORE SUITABLE FOR THE SPECIFIC BUSINESS CASE.

LIFELONG LEARNING SKILLS
THE STUDENT WILL BE ABLE TO USE THE ACQUIRED KNOWLEDGE IN DIFFERENT PRODUCTION SYSTEMS AND TO APPLY THE METHODS AND THE TECHNIQUES IN REAL INDUSTRIAL SCENARIOS.
Prerequisites
FOR THE SUCCESSFUL ACHIEVEMENT OF THE COURSE OBJECTIVES, TECHNOLOGICAL, ECONOMIC AND INFORMATION KNOWLEDGE RELATED TO INDUSTRIAL ENGINEERING, AND ACQUIRED IN THE BACHELOR’S DEGREE, IS REQUIRED.
Contents
- TECHNOLOGIES AND SMART FACTORY: INTRODUCTION TO SMART MANUFACTURING (3H THEORY).
- DESIGN OF PRODUCTION SYSTEMS THROUGH SIMULATION TECHNIQUES AND DIGITAL TWIN: CLASSIFICATION OF INDUSTRIAL PRODUCTION SYSTEMS (DIFFERENT TYPES AND CHARACTERISTICS) (1H THEORY); AUTOMATION OF INDUSTRIAL PRODUCTION (TYPES, SYSTEMS AND FIELDS OF APPLICATION) (2H THEORY); BASICS OF PROCESS CONTROL (6H THEORY, 4H EXERCISE); AUTOMATED HANDLING AND STORAGE SYSTEMS (6H THEORY, 4H EXERCISE); FLEXIBLE MANUFACTURING SYSTEMS AND FLEXIBLE ASSEMBLY SYSTEMS (1H THEORY); REFERENCE MODELS FOR THE SMART FACTORY (E.G. RAMI 4.0 MODEL) (1H THEORY); COLLABORATIVE SYSTEMS FOR HUMAN-MACHINE INTERACTION: THE INDUSTRIAL COBOTS (3H THEORY, 1H EXERCISE); CYBER-PHYSICAL SYSTEMS: SIMULATION OF PRODUCTION SYSTEMS, DIGITAL TWIN AND SMART OPERATORS AND 4.0 TECHNOLOGIES (1H THEORY); FEASIBILITY STUDY OF INVESTMENTS IN 4.0 TECHNOLOGIES.
- INTEGRATED MANAGEMENT AND CONTROL OF PRODUCTION SYSTEMS: FUNDAMENTALS OF MANAGEMENT AND CONTROL OF PHYSICAL AND INFORMATION FLOWS OF INDUSTRIAL PLANTS (1H THEORY); PRODUCTION PLANNING AND SCHEDULING TECHNIQUES (1H THEORY); AGGREGATE PLAN AND MAIN PRODUCTION PLAN (5H THEORY, 4H EXERCISE); MATERIAL REQUIREMENT PLANNING (MRP I) AND MANUFACTURING RESOURCE PLANNING (MRP II) (3H THEORY, 2H EXERCISE); ADVANCED ALGORITHMIC AND HEURISTIC SCHEDULING (2H THEORY, 1H EXERCISE); SHOP FLOOR CONTROL, STANDARD AND ADVANCED TECHNIQUES (1H THEORY); LEAN TECHNIQUES AND SYNCHRO MRP (4H THEORY, 2H EXERCISE); KPIS AND DASHBOARDS FOR THE MONITORING OF PRODUCTION SYSTEMS PERFORMANCE (1H THEORY).
- SMART MAINTENANCE MANAGEMENT OF PRODUCTION SYSTEMS: THE MAINTENANCE PROCESS IN THE "SMART FACTORY" FIELD (8H THEORY, 2H EXERCISE); MAINTENANCE FOR ASSET LIFE CYCLE MANAGEMENT, PRODUCTION SYSTEMS SUSTAINABILITY AND COMPETITIVENESS (4H THEORY, 1H EXERCISE); SMART MAINTENANCE POLICIES: CONDITION-BASED MAINTENANCE (3H THEORY, 2H EXERCISE), PREDICTIVE MAINTENANCE (3H THEORY), E-MAINTENANCE (1H THEORY), KPIS FOR MONITORING MAINTENANCE PERFORMANCE (2H THEORY, 1H EXERCISE); MAINTENANCE INFORMATION SYSTEMS (2H THEORY); SMART MAINTENANCE AND 4.0 TECHNOLOGIES (1H THEORY).

DURING THE COURSE, EXERCISES WILL BE CARRIED OUT AIMED AT APPLYING ADVANCED TECHNIQUES FOR THE OPERATIONS AND MAINTENANCE MANAGEMENT OF PRODUCTION SYSTEMS (E.G. MODELLING TECHNIQUES, SIMULATION).
Teaching Methods
THE COURSE INCLUDES THEORETICAL LESSONS, CLASSROOM EXERCISES AND BUSINESS EXAMPLES/SEMINARS. THE EXERCISES ARE SPECIFICALLY DESIGNED WITH REFERENCE TO THE THEORETICAL SET OUT CONCEPTS AND AIMED AT VERIFYING THE ABILITY TO NUMERICALLY APPLY TECHNIQUES AND MODELS PRESENTED TO CONCRETE, BUT SPECIFICALLY SIMPLIFIED, CASES. THE SEMINARS ARE DESIGNED AND PROVIDED IN CLOSE CONNECTION WITH THE TOPICS COVERED TO ILLUSTRATE THE COMPANY'S PRAGMATIC APPROACH TO THE USE OF THE DIFFERENT TECHNIQUES ILLUSTRATED.
Verification of learning
THE EXAM INCLUDES A WRITTEN TEST IN WHICH, WITH THE SUPPORT OF SIMPLE WRITTEN NUMERICAL QUESTIONS DERIVED FROM THE EXERCISES CARRIED OUT DURING THE COURSE, THE KNOWLEDGE AND PRACTICAL SKILLS ACQUIRED DURING THE LESSONS ARE VERIFIED. THE WRITTEN TEST, IF ASSESSED AS SUFFICIENT, IS FOLLOWED BY AN ORAL INTERVIEW IN WHICH, STARTING FROM THE WRITTEN TEST, THE DEGREE OF MATURITY OF THE CONTENTS ACQUIRED DURING THE COURSE IS VERIFIED. THE WRITTEN EVALUATION WILL BE OBTAINED BY INITIALLY SETTING A SCORE OUT OF THIRTY FOR EACH EXERCISE AND ASSIGNING TO THE TEST A PERCENTAGE OF THIS SCORE BASED ON THE LEVEL OF COMPLETENESS OF THE PERFORMANCE. THE EVALUATION OF THE ORAL IS EXPRESSED IN THIRTIETHS FOR EACH QUESTION, AND SUBSEQUENTLY AVERAGED OVER THE QUESTIONS. A SUFFICIENT MARK (18/30) IS GIVEN TO THE SINGLE QUESTION, WHEN THE STUDENT SHOWS AN ELEMENTARY BUT EXHAUSTIVE KNOWLEDGE OF THE TOPIC; THE HIGHEST GRADE IS AWARDED IN THE PRESENCE OF A STUDENT ABLE TO EXPLAIN THE SYSTEM ASPECTS CONNECTED TO THE SINGLE QUESTION ASKED, WITH FULL AUTONOMY AND TECHNICAL LANGUAGE PROPERTIES. THE FINAL MARK IS MADE UP OF THE ARITHMETIC AVERAGE OF THE MARKS OF THE WRITTEN AND ORAL QUESTIONS AND, IN PRESENCE OF A HIGH QUALITY OF THE OVERALL PRESENTATION AND THE ABILITY TO CREATE LOGICAL CONNECTIONS BETWEEN THE VARIOUS TOPICS COVERED, AS WELL AS THE MAXIMUM MARK, HONOR IS CONFERRED.
Texts
LECTURE NOTES.
- A.K. GUPTA, S.K. ARORA, J.R. WESTCOTT, 2017. INDUSTRIAL AUTOMATION AND ROBOTICS, MERCURY LEARNING AND INFORMATION.
- LAMB FRANK. 2013. INDUSTRIAL AUTOMATION HANDS-ON. MCGRAWHILL EDUCATION.
- DANIEL E. KANDRAY, P.E., 2010. PROGRAMMABLE AUTOMATION TECHNOLOGIES: AN INTRODUCTION TO CNC, ROBOTICS AND PLCS. INDUSTRIAL PRESS INC.
- ALEŠ STANOVNIK, MARKO MUNIH, JURE REJC, SEBASTJAN ŠLAJPAH. ROBOTICS SECOND EDITION. SPRINGER
- F. ROBERT JACOBS AND RICHARD CHASE, OPERATIONS AND SUPPLY CHAIN MANAGEMENT - MCGRAWHILL.
- F. ROBERT JACOBS AND WILLIAM BERRY AND D WHYBARK AND THOMAS VOLLMANN, MANUFACTURING PLANNING AND CONTROL FOR SUPPLY CHAIN MANAGEMENT: THE CPIM REFERENCE, SECOND EDITION - MCGRAWHILL.
- AVERILL LAW, SIMULATION MODELING AND ANALYSIS - MCGRAWHILL.
- BEN-DAYA, M., DUFFUAA, S. O., RAOUF, A., KNEZEVIC, J., & AIT-KADI, D. (EDS.). (2009). HANDBOOK OF MAINTENANCE MANAGEMENT AND ENGINEERING (VOL. 7). LONDON: SPRINGER.
- DUFFUAA, S. O., RAOUF, A., & CAMPBELL, J. D. (2015). PLANNING AND CONTROL OF MAINTENANCE SYSTEMS. SECOND EDITION. SPRINGER.
- STAMATIS, D. H. (2003). FAILURE MODE AND EFFECT ANALYSIS: FMEA FROM THEORY TO EXECUTION. QUALITY PRESS.
More Information
Lectures delivered in English.
Lessons Timetable

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