Raffaele IANNONE | SIMULATION MODELING FOR INDUSTRIAL AND MANUFACTURING SYSTEMS

cod. 0622300034

SIMULATION MODELING FOR INDUSTRIAL AND MANUFACTURING SYSTEMS

	0622300034
	DEPARTMENT OF INDUSTRIAL ENGINEERING
	EQF7
	MECHANICAL ENGINEERING
	2024/2025

CURRICULUM INTERDISCIPLINARY

	YEAR OF COURSE 2
	YEAR OF DIDACTIC SYSTEM 2018
	AUTUMN SEMESTER

TEACHING UNITS

	SSD	CFU	HOURS	ACTIVITY	TYPE OF ACTIVITY
	ING-IND/17	6	60	LESSONS	COMPULSORY SUBJECTS, CHARACTERISTIC OF THE CLASS

	Objectives
	THE COURSE AIMS TO PROVIDE TOOLS TO SUPPORT THE MODELING AND OPTIMIZATION OF THE TECHNICAL AND ECONOMIC PERFORMANCE OF THE PRODUCTION AND LOGISTICS SYSTEMS THROUGH A REVIEW OF QUANTITATIVE METHODS TO SUPPORT SYSTEM DESIGN AND IMPROVEMENT, REAL CASES ON WHICH MULTIPLE TECHNIQUES WILL BE USED MODELING IN ORDER TO SOLVE THE PROBLEM. THE MOST IMPORTANT APPLICATION CONTEXTS WILL BE: LOGISTICS NETWORKS, LOGISTICS AND PRODUCTION SYSTEMS CHARACTERIZED BY FLEXIBILITY IN RESOURCE USAGE AND VARIABILITY IN PRODUCTION MIXES AND PROCESS REQUIREMENTS. THE MAIN SKILLS WILL BE: HOW TO USE THE CAUSE-EFFECT DIAGRAM AND PARETO DIAGRAM FOR FORMULATING A PROBLEM, SCHEMATIZING A PROCESS, USE A PM SOFTWARE TO SCHEDULE A SIMULATION PROJECT, USE IDEF0 AND FLOWCHART FOR FORMAL DEFINITION OF A MANUFACTURING SYSTEM, USE STATISTICAL TESTS TO IDENTIFY SAMPLING DATA SOURCE DISTRIBUTIONS (PROCESSING TIME, ORDER ARRIVAL, ETC.), USE A SIMULATION ENVIRONMENT TO IMPLEMENT A DISCRETE EVENT SIMULATOR, REALIZE THE ANIMATION TO VERIFY THE SIMULATOR OPERATION, USE STATISTICAL TESTS TO DETERMINE WHETHER TWO SETS OF DATA ORIGINATE FROM THE SAME DISTRIBUTION, DESIGN AN EXPERIMENTAL CAMPAIGN, DETERMINE THE DURATION OF RUNS AND TRANSIENTS, DETERMINE THE NUMBER OF REPLICATIONS FOR OBTAINING THE RIGHT ACCURACY, ANALYZE THE RESULTS USING PARAMETRIC AND NON-PARAMETRIC STATISTICAL TESTS AND EVALUATE THE MANAGEMENT ALTERNATIVES TO IMPLEMENT. AUTONOMY OF JUDGMENT THE STUDENT ACQUIRES THE ABILITY TO AUTONOMOUSLY FORMULATE THE OPPORTUNITY TO CARRY OUT A SIMULATION STUDY AND TO CARRY OUT ALL PHASES OF THE DEVELOPMENT ITSELF. COMMUNICATION SKILLS THE STUDENT ACQUIRES THE ABILITY TO COMMUNICATE EFFECTIVELY ON TOPICS RELATED TO THE SIMULATION OF A PRODUCTION AND LOGISTIC PLANT AND ON TECHNIQUES FOR THE VALIDATION AND IMPLEMENTATION OF EXPERIMENTS. LEARNING SKILLS THE STUDENT ACQUIRES THE CAPACITY TO LEARN AUTONOMOUSLY MORE APPROPRIATE AND SPECIFIC SKILLS IN THE FIELD OF MANUFACTURING AND LOGISTICS SYSTEMS SIMULATION.

THE COURSE AIMS TO PROVIDE TOOLS TO SUPPORT THE MODELING AND OPTIMIZATION OF THE TECHNICAL AND ECONOMIC PERFORMANCE OF THE PRODUCTION AND LOGISTICS SYSTEMS THROUGH A REVIEW OF QUANTITATIVE METHODS TO SUPPORT SYSTEM DESIGN AND IMPROVEMENT, REAL CASES ON WHICH MULTIPLE TECHNIQUES WILL BE USED MODELING IN ORDER TO SOLVE THE PROBLEM. THE MOST IMPORTANT APPLICATION CONTEXTS WILL BE: LOGISTICS NETWORKS, LOGISTICS AND PRODUCTION SYSTEMS CHARACTERIZED BY FLEXIBILITY IN RESOURCE USAGE AND VARIABILITY IN PRODUCTION MIXES AND PROCESS REQUIREMENTS.

THE MAIN SKILLS WILL BE: HOW TO USE THE CAUSE-EFFECT DIAGRAM AND PARETO DIAGRAM FOR FORMULATING A PROBLEM, SCHEMATIZING A PROCESS, USE A PM SOFTWARE TO SCHEDULE A SIMULATION PROJECT, USE IDEF0 AND FLOWCHART FOR FORMAL DEFINITION OF A MANUFACTURING SYSTEM, USE STATISTICAL TESTS TO IDENTIFY SAMPLING DATA SOURCE DISTRIBUTIONS (PROCESSING TIME, ORDER ARRIVAL, ETC.), USE A SIMULATION ENVIRONMENT TO IMPLEMENT A DISCRETE EVENT SIMULATOR, REALIZE THE ANIMATION TO VERIFY THE SIMULATOR OPERATION, USE STATISTICAL TESTS TO DETERMINE WHETHER TWO SETS OF DATA ORIGINATE FROM THE SAME DISTRIBUTION, DESIGN AN EXPERIMENTAL CAMPAIGN, DETERMINE THE DURATION OF RUNS AND TRANSIENTS, DETERMINE THE NUMBER OF REPLICATIONS FOR OBTAINING THE RIGHT ACCURACY, ANALYZE THE RESULTS USING PARAMETRIC AND NON-PARAMETRIC STATISTICAL TESTS AND EVALUATE THE MANAGEMENT ALTERNATIVES TO IMPLEMENT.

AUTONOMY OF JUDGMENT
THE STUDENT ACQUIRES THE ABILITY TO AUTONOMOUSLY FORMULATE THE OPPORTUNITY TO CARRY OUT A SIMULATION STUDY AND TO CARRY OUT ALL PHASES OF THE DEVELOPMENT ITSELF.

COMMUNICATION SKILLS
THE STUDENT ACQUIRES THE ABILITY TO COMMUNICATE EFFECTIVELY ON TOPICS RELATED TO THE SIMULATION OF A PRODUCTION AND LOGISTIC PLANT AND ON TECHNIQUES FOR THE VALIDATION AND IMPLEMENTATION OF EXPERIMENTS.

LEARNING SKILLS
THE STUDENT ACQUIRES THE CAPACITY TO LEARN AUTONOMOUSLY MORE APPROPRIATE AND SPECIFIC SKILLS IN THE FIELD OF MANUFACTURING AND LOGISTICS SYSTEMS SIMULATION.

	Prerequisites
	KNOWLEDGE OF GENERAL ASPECTS FOR THE DESIGN AND MANAGEMENT OF INDUSTRIAL PLANTS. BASIC STATISTICAL AND PROGRAMMING KNOWLEDGE.

	Contents
	INTRODUCTION TO PRODUCTION AND LOGISTICS MODELING TECHNIQUES (3H T): SIMULATION OBJECTIVES, MODEL TYPES, INDUSTRIAL SIMULATION APPLICATIONS, DISCRETE EVENT SIMULATION. FORMULATION OF A MANUFACTURING PROBLEM PROBLEM (2H T + 4H E): FORMAL PROBLEM DEFINITION, SYSTEM KNOWLEDGE, ISHIKAWA DIAGRAM, PARETO ANALYSIS, GOAL DEFINITION, LOGIC SCHEME, LEVEL OF DETAIL, TUTORIALS AND APPLICATIONS. PROJECT PLANNING OF A SIMULATION PROJECT (2H T + 3H E): PROJECT LIFE CYCLE, COST-TIME-PERFORMANCE DIAGRAM, PROJECT WBS AND LRC, PROJLIBRE EXERCISES AND APPLICATIONS. FORMAL DEFINITION OF A SIMULATION MODEL (2H T + 3H E): CLASSIFICATION OF SYSTEMS, ENDING AND NON-TERMINATING SYSTEMS, MODELING COMPONENTS AND EVENTS, MODELING LANGUAGES (IDEF0, FLOWCHARTS, ETC.), EXERCISES AND APPLICATIONS. DATA INPUT AND DISTRIBUTION ANALYSIS (3H T + 5H E): CONTINUOUS AND DISCRETE SOURCES AND COLLECTION METHODS, DETERMINISTIC AND STOCHASTIC, COMMON PROBABILITY DISTRIBUTIONS, DATA FITTING, R AND R EXERCISES. IMPLEMENTATION OF THE MODEL IN ANYLOGIC (4H T + 12H E): IMPLEMENTATION METHODS, INTRODUCTION TO ANYLOGIC, ANYLOGIC TUTORIALS AND APPLICATIONS DESIGNED TO REPRODUCE MANAGEMENT LOGIC WITHIN THE MODELS. VERIFICATION AND VALIDATION OF THE SIMULATOR (2H T + 4H E): DIVIDE AND CONQUER TECHNIQUE, ANIMATION, VALIDATION TYPES, STATISTICAL VALIDATION PROCEDURE, R AND R EXERCISES. EXPERIMENT DESIGN (3H T + 2H E): FACTORS AND LEVELS, TYPES OF EXPERIMENTS, ANOVA, EXERCISES AND APPLICATIONS. EXECUTION AND ANALYSIS OF RESULTS (2H T + 4H E): CALCULATION OF THE NUMBER OF REPLICAS, TRANSITIONAL LENGTH, RUN DURATION, WELCH APPROACH, DUNCAN MULTIPLE RANGE TEST, AUTOCORRELATION AND BATCH METHOD, EXERCISES AND APPLICATIONS.

Contents

INTRODUCTION TO PRODUCTION AND LOGISTICS MODELING TECHNIQUES (3H T): SIMULATION OBJECTIVES, MODEL TYPES, INDUSTRIAL SIMULATION APPLICATIONS, DISCRETE EVENT SIMULATION.
FORMULATION OF A MANUFACTURING PROBLEM PROBLEM (2H T + 4H E): FORMAL PROBLEM DEFINITION, SYSTEM KNOWLEDGE, ISHIKAWA DIAGRAM, PARETO ANALYSIS, GOAL DEFINITION, LOGIC SCHEME, LEVEL OF DETAIL, TUTORIALS AND APPLICATIONS.
PROJECT PLANNING OF A SIMULATION PROJECT (2H T + 3H E): PROJECT LIFE CYCLE, COST-TIME-PERFORMANCE DIAGRAM, PROJECT WBS AND LRC, PROJLIBRE EXERCISES AND APPLICATIONS.
FORMAL DEFINITION OF A SIMULATION MODEL (2H T + 3H E): CLASSIFICATION OF SYSTEMS, ENDING AND NON-TERMINATING SYSTEMS, MODELING COMPONENTS AND EVENTS, MODELING LANGUAGES (IDEF0, FLOWCHARTS, ETC.), EXERCISES AND APPLICATIONS.
DATA INPUT AND DISTRIBUTION ANALYSIS (3H T + 5H E): CONTINUOUS AND DISCRETE SOURCES AND COLLECTION METHODS, DETERMINISTIC AND STOCHASTIC, COMMON PROBABILITY DISTRIBUTIONS, DATA FITTING, R AND R EXERCISES.
IMPLEMENTATION OF THE MODEL IN ANYLOGIC (4H T + 12H E): IMPLEMENTATION METHODS, INTRODUCTION TO ANYLOGIC, ANYLOGIC TUTORIALS AND APPLICATIONS DESIGNED TO REPRODUCE MANAGEMENT LOGIC WITHIN THE MODELS.
VERIFICATION AND VALIDATION OF THE SIMULATOR (2H T + 4H E): DIVIDE AND CONQUER TECHNIQUE, ANIMATION, VALIDATION TYPES, STATISTICAL VALIDATION PROCEDURE, R AND R EXERCISES.
EXPERIMENT DESIGN (3H T + 2H E): FACTORS AND LEVELS, TYPES OF EXPERIMENTS, ANOVA, EXERCISES AND APPLICATIONS.
EXECUTION AND ANALYSIS OF RESULTS (2H T + 4H E): CALCULATION OF THE NUMBER OF REPLICAS, TRANSITIONAL LENGTH, RUN DURATION, WELCH APPROACH, DUNCAN MULTIPLE RANGE TEST, AUTOCORRELATION AND BATCH METHOD, EXERCISES AND APPLICATIONS.

	Teaching Methods
	THE COURSE INCLUDES THEORETICAL LESSONS FOLLOWED BY EXERCISES AND PRACTICAL APPLICATIONS DEVELOPED IN THE CLASSROOM AND / OR IN THE LAB THROUGH THE USE OF THE PERSONAL COMPUTER. BEFORE EACH LESSON, SLIDES (IN ELECTRONIC FORMAT) AND APPLICATION SOFTWARE (OPEN SOURCE OR LEARNING EDITION) ARE PROVIDED.

	Verification of learning
	THE EXAMINATION PROVIDES FOR A WRITTEN TEST OF 2 HOURS. THE WRITTEN TEST CONSISTS OF A DESCRIPTION OF A PROBLEM AND A MINIMUM OF FOUR QUESTIONS TO VERIFY THE STUDENT'S ABILITY TO ACQUIRE THE MAIN SKILLS PROVIDED BY THE COURSE. EACH QUESTION IS ASSIGNED A MAXIMUM SCORE OF 5 TO 15 POINTS. THE SUM OF THE HIGHEST SCORES IS 32. SUFFICIENCY IS REACHED AT LEAST 18 POINTS. HONORS CAN BE ATTRIBUTED OBTAINING AT LEAST 30 POINTS AND DEMONSTRATING, EVEN DURING THE ORAL TEST, GOOD COMMAND AND INTERRELATIONSHIP BETWEEN THE TOPICS DISCUSSED. THE VERIFICATION OF LEARNING IS STRUCTURED AS A WRITTEN WORK AIMED AT VERIFYING THE UNDERSTANDING OF THE APPLICATION USE OF THE TOOLS FOR THE SCHEMATIZATION OF THE PROCESS, OF THE STATISTICAL TESTS FOR IDENTIFYING THE DISTRIBUTIONS OF ORIGIN OF THE SAMPLE DATA AND OF THE ANOVA ANALYSIS, OF THE SIMULATION ENVIRONMENT DESIGNED TO IMPLEMENT A MODEL, OF THE DURATION OF THE RUNS AND TRANSIENTS, OF THE NUMBER OF REPLICAS TO OBTAIN THE DESIRED PRECISION, OF THE EVALUATION OF THE MANAGEMENT ALTERNATIVES TO BE IMPLEMENTED.

Verification of learning

THE EXAMINATION PROVIDES FOR A WRITTEN TEST OF 2 HOURS. THE WRITTEN TEST CONSISTS OF A DESCRIPTION OF A PROBLEM AND A MINIMUM OF FOUR QUESTIONS TO VERIFY THE STUDENT'S ABILITY TO ACQUIRE THE MAIN SKILLS PROVIDED BY THE COURSE. EACH QUESTION IS ASSIGNED A MAXIMUM SCORE OF 5 TO 15 POINTS. THE SUM OF THE HIGHEST SCORES IS 32. SUFFICIENCY IS REACHED AT LEAST 18 POINTS. HONORS CAN BE ATTRIBUTED OBTAINING AT LEAST 30 POINTS AND DEMONSTRATING, EVEN DURING THE ORAL TEST, GOOD COMMAND AND INTERRELATIONSHIP BETWEEN THE TOPICS DISCUSSED.
THE VERIFICATION OF LEARNING IS STRUCTURED AS A WRITTEN WORK AIMED AT VERIFYING THE UNDERSTANDING OF THE APPLICATION USE OF THE TOOLS FOR THE SCHEMATIZATION OF THE PROCESS, OF THE STATISTICAL TESTS FOR IDENTIFYING THE DISTRIBUTIONS OF ORIGIN OF THE SAMPLE DATA AND OF THE ANOVA ANALYSIS, OF THE SIMULATION ENVIRONMENT DESIGNED TO IMPLEMENT A MODEL, OF THE DURATION OF THE RUNS AND TRANSIENTS, OF THE NUMBER OF REPLICAS TO OBTAIN THE DESIRED PRECISION, OF THE EVALUATION OF THE MANAGEMENT ALTERNATIVES TO BE IMPLEMENTED.

	Texts
	- SLIDES AND NOTES ON THE COURSE (DOWNLOADABLE DURING THE COURSE FROM THE UNISA ELEARNING PLATFORM) - MARCO MACCHI, SERGIO TERZI, MODELLAZIONE DEI SISTEMI PRODUTTIVI. VOL. 2: ANALISI. SIMULAZIONE. MIGLIORAMENTO DELLE PRESTAZIONI, PITAGORA EDITRICE, 2009, ISBN: 88-371-1776-0 - CHRISTOFER A. CHUNG, SIMULATION MODELING HANDBOOK – A PRACTICAL APPROACH, CRC PRESS, 2004, ISBN 0-8493-1241-8 - ANDREI BORSHCHEV, THE BIG BOOK OF SIMULATION MODELING. MULTIMETHOD MODELING WITH ANYLOGIC 6 FOR THE INDICATED TEXTS, THE STUDENT SHOULD REFER ONLY TO THE PAGES RELATED TO THE TOPICS COVERED IN THE LECTURES. THE OTHER PAGES OF THE TEXTS ARE INTENDED TO BE USEFUL FOR ANY FURTHER STUDY CHOSEN BY THE STUDENT.

Texts

- SLIDES AND NOTES ON THE COURSE (DOWNLOADABLE DURING THE COURSE FROM THE UNISA ELEARNING PLATFORM)
- MARCO MACCHI, SERGIO TERZI, MODELLAZIONE DEI SISTEMI PRODUTTIVI. VOL. 2: ANALISI. SIMULAZIONE. MIGLIORAMENTO DELLE PRESTAZIONI, PITAGORA EDITRICE, 2009, ISBN: 88-371-1776-0
- CHRISTOFER A. CHUNG, SIMULATION MODELING HANDBOOK – A PRACTICAL APPROACH, CRC PRESS, 2004, ISBN 0-8493-1241-8
- ANDREI BORSHCHEV, THE BIG BOOK OF SIMULATION MODELING. MULTIMETHOD MODELING WITH ANYLOGIC 6

FOR THE INDICATED TEXTS, THE STUDENT SHOULD REFER ONLY TO THE PAGES RELATED TO THE TOPICS COVERED IN THE LECTURES. THE OTHER PAGES OF THE TEXTS ARE INTENDED TO BE USEFUL FOR ANY FURTHER STUDY CHOSEN BY THE STUDENT.

	More Information
	SUBJECT DELIVERED IN ITALIAN.

BETA VERSION Data source ESSE3 [Ultima Sincronizzazione: 2025-07-16]

Raffaele IANNONE | SIMULATION MODELING FOR INDUSTRIAL AND MANUFACTURING SYSTEMS

SIMULATION MODELING FOR INDUSTRIAL AND MANUFACTURING SYSTEMS

CURRICULUM INTERDISCIPLINARY

TEACHING UNITS

PROFESSORS

SHEET

-

Raffaele IANNONE | SIMULATION MODELING FOR INDUSTRIAL AND MANUFACTURING SYSTEMS