Ingegneria Meccanica | PRODUCTION PLANNING AND CONTROL

cod. 0622300010

PRODUCTION PLANNING AND CONTROL

	0622300010
	DIPARTIMENTO DI INGEGNERIA INDUSTRIALE
	EQF7
	MECHANICAL ENGINEERING
	2020/2021

PERCORSO IN COMMON

	YEAR OF COURSE 2
	YEAR OF DIDACTIC SYSTEM 2018
	PRIMO SEMESTRE

TEACHING UNITS

	SSD	CFU	HOURS	ACTIVITY	TYPE OF ACTIVITY
	ING-IND/16	6	60	LESSONS	COMPULSORY SUBJECTS, CHARACTERISTIC OF THE CLASS

	Objectives
	THE COURSE PROVIDES THE THEORETICAL-SCIENTIFIC BASES AND THE METHODOLOGICAL TOOLS FOR THE ANALYSIS OF PHENOMENA NON-DETERMINISTIC, NATURAL OR PRODUCED BY STOCHASTIC SIMULATION MODELS, DEVELOPED THROUGH THE STUDY OF EXPERIMENTAL DATA. EXPECTED LEARNING OUTCOMES: KNOWLEDGE AND UNDERSTANDING: TO IMPROVE THE PRINCIPLES OF STATISTICAL ANALYSIS, THE FUNDAMENTAL RELATIONSHIPS BETWEEN VARIABLES AND RANDOM FUNCTIONS. TO STRENGTHEN THE BASIC KNOWLEDGE OF DESCRIPTIVE AND INFERENTIAL STATISTICS. TO ACQUIRE KNOWLEDGE ABOUT THE THEORETICAL MODELS OF ALEATORY VARIABLES OF GREATEST INTEREST IN INDUSTRIAL CONTEXTS. TO UNDERSTAND THE INTERACTIONS BETWEEN TWO OR MORE VARIABLES IN MANUFACTURING SYSTEMS. APPLIED KNOWLEDGE AND UNDERSTANDING: AT THE END OF THE COURSE, THE STUDENT IS ABLE TO: - CHOSE CRITICALLY THE APPROACH TO BE USED FOR THE SOLUTION OF PROBLEMS IN MANUFACTURING SYSTEMS. - USE THE DESIGN OF THE EXPERIMENTS TO EXTRACT AND ANALYZE PROCESS RESPONSE VARIABLES. JUDGMENT AUTONOMY: BEING ABLE TO CHOOSE THE METHOD OF SOLVING A PROBLEM NOT INCLUDED AMONG THOSE PROPOSED IN THE COURSE AND IDENTIFY THE APPROXIMATIONS NECESSARY TO USE THE KNOWN METHODOLOGIES. COMMUNICATION SKILLS: BEING ABLE TO PRESENT THE CONTENTS OF THE COURSE ORALLY WITH LANGUAGE AND PREPARE AN ADEQUATE REPORT ON THE PROPOSED CASE STUDY. LEARNING SKILLS BEING ABLE TO APPLY THE KNOWLEDGE ACQUIRED TO CONTEXTS DIFFERENT FROM THOSE PRESENTED DURING THE COURSE, AND TO DEEPEN THE TOPICS COVERED USING MATERIALS OTHER THAN THOSE PROPOSED.

THE COURSE PROVIDES THE THEORETICAL-SCIENTIFIC BASES AND THE METHODOLOGICAL TOOLS FOR THE ANALYSIS OF PHENOMENA NON-DETERMINISTIC, NATURAL OR PRODUCED BY STOCHASTIC SIMULATION MODELS, DEVELOPED THROUGH THE STUDY OF EXPERIMENTAL DATA.
EXPECTED LEARNING OUTCOMES:
KNOWLEDGE AND UNDERSTANDING:
TO IMPROVE THE PRINCIPLES OF STATISTICAL ANALYSIS, THE FUNDAMENTAL RELATIONSHIPS BETWEEN VARIABLES AND RANDOM FUNCTIONS.
TO STRENGTHEN THE BASIC KNOWLEDGE OF DESCRIPTIVE AND INFERENTIAL STATISTICS.
TO ACQUIRE KNOWLEDGE ABOUT THE THEORETICAL MODELS OF ALEATORY VARIABLES OF GREATEST INTEREST IN INDUSTRIAL CONTEXTS.
TO UNDERSTAND THE INTERACTIONS BETWEEN TWO OR MORE VARIABLES IN MANUFACTURING SYSTEMS.
APPLIED KNOWLEDGE AND UNDERSTANDING:
AT THE END OF THE COURSE, THE STUDENT IS ABLE TO:
- CHOSE CRITICALLY THE APPROACH TO BE USED FOR THE SOLUTION OF PROBLEMS IN MANUFACTURING SYSTEMS.
- USE THE DESIGN OF THE EXPERIMENTS TO EXTRACT AND ANALYZE PROCESS RESPONSE VARIABLES.
JUDGMENT AUTONOMY:
BEING ABLE TO CHOOSE THE METHOD OF SOLVING A PROBLEM NOT INCLUDED AMONG THOSE PROPOSED IN THE COURSE AND IDENTIFY THE APPROXIMATIONS NECESSARY TO USE THE KNOWN METHODOLOGIES.
COMMUNICATION SKILLS:
BEING ABLE TO PRESENT THE CONTENTS OF THE COURSE ORALLY WITH LANGUAGE AND PREPARE AN ADEQUATE REPORT ON THE PROPOSED CASE STUDY.
LEARNING SKILLS
BEING ABLE TO APPLY THE KNOWLEDGE ACQUIRED TO CONTEXTS DIFFERENT FROM THOSE PRESENTED DURING THE COURSE, AND TO DEEPEN THE TOPICS COVERED USING MATERIALS OTHER THAN THOSE PROPOSED.

	Prerequisites
	CONVENTIONAL PRODUCTION TECHNOLOGIES FOR CHIP REMOVAL ARE REQUIRED, WITH PARTICULAR REFERENCE TO THE CHOICE OF PROCESS PARAMETERS. KNOWLEDGE ARE ALSO REQUIRED CONCERNING THE FOUNDAMENTALS OF THE THEORY OF PROBABILITY AND STATISTICAL ANALYSIS.

	Contents
	FREQUENCY DISTRIBUTIONS (4 HOURS THEORY, 3 HOURS EXERCISE). CLASSIC PROBABILITY, CONDITIONAL PROBABILITY AND BAYES THEOREM, COMBINATORY ANALYSIS, DISCRETE AND CONTINUOUS VARIABLES. HISTOGRAMS AND FREQUENCY POLYGONS. POSITION AND VARIABILITY INDICES. MOMENTS OF THE RANDOM VARIABLE. JOINT DISTRIBUTIONS. ELEMENTARY THEORY OF SAMPLES (15 HOURS THEORY, 5 HOURS EXERCISE). GENERATION OF PSEUDO-RANDOM NUMBERS AND RANDOM VARIABLES, SAMPLING WITH AND WITHOUT REPETITION, DISTRIBUTION OF THE SAMPLING AVERAGE, DISTRIBUTION OF THE SUMS AND OF THE SAMPLE DIFFERENCES, STUDENT DISTRIBUTION, FISHER DISTRIBUTION. DECISION THEORY: CORRECT AND EFFICIENT PARAMETERS ESTIMATION, POINT AND INTERVAL ESTIMATIONS, CONFIDENCE INTERVALS, HYPOTHESIS TESTS, SIGNIFICANCE, COMPARISON BETWEEN AVERAGES, COMPARISON BETWEEN VARIATIONS. EXPERIMENT PLANNING (10 HOURS THEORY, 4 HOURS EXERCISE). EXPERIMENTS WITH A FACTOR, FULLY CASUALIZED PLANS, ANALYSIS OF THE ONE-WAY VARIANCE, ANALYSIS OF THE RESIDUES, FACTORIAL EXPERIMENTS, FRACTIONAL FACTORIAL PLANS, ANALYSIS OF THE TWO-WAY VARIANCE, ANALYSIS OF THE INTERACTIONS BETWEEN FACTORS, SURFACE METHODS. PROCESS CAPACITY ANALYSIS (5 HOURS THEORY, 3 HOURS EXERCISE). CAPACITY INDICES, CAPACITY ANALYSIS WITH HISTOGRAMS AND PROBABILITY CHARTS, CAPACITY ANALYSIS WITH PLANNED EXPERIMENTS, ESTIMATION OF THE NATURAL TOLERANCE LIMITS OF A PROCESS. CONTROL CHARTS. CHARTS FOR VARIABLES AND CHARTS FOR ATTRIBUTES, CONTROL LIMITS. (6 HOURS THEORY, 5 HOURS EXERCISE).

Contents

FREQUENCY DISTRIBUTIONS (4 HOURS THEORY, 3 HOURS EXERCISE).
CLASSIC PROBABILITY, CONDITIONAL PROBABILITY AND BAYES THEOREM, COMBINATORY ANALYSIS, DISCRETE AND CONTINUOUS VARIABLES. HISTOGRAMS AND FREQUENCY POLYGONS. POSITION AND VARIABILITY INDICES. MOMENTS OF THE RANDOM VARIABLE. JOINT DISTRIBUTIONS. ELEMENTARY THEORY OF SAMPLES (15 HOURS THEORY, 5 HOURS EXERCISE).
GENERATION OF PSEUDO-RANDOM NUMBERS AND RANDOM VARIABLES, SAMPLING WITH AND WITHOUT REPETITION, DISTRIBUTION OF THE SAMPLING AVERAGE, DISTRIBUTION OF THE SUMS AND OF THE SAMPLE DIFFERENCES, STUDENT DISTRIBUTION, FISHER DISTRIBUTION. DECISION THEORY: CORRECT AND EFFICIENT PARAMETERS ESTIMATION, POINT AND INTERVAL ESTIMATIONS, CONFIDENCE INTERVALS, HYPOTHESIS TESTS, SIGNIFICANCE, COMPARISON BETWEEN AVERAGES, COMPARISON BETWEEN VARIATIONS. EXPERIMENT PLANNING (10 HOURS THEORY, 4 HOURS EXERCISE).
EXPERIMENTS WITH A FACTOR, FULLY CASUALIZED PLANS, ANALYSIS OF THE ONE-WAY VARIANCE, ANALYSIS OF THE RESIDUES, FACTORIAL EXPERIMENTS, FRACTIONAL FACTORIAL PLANS, ANALYSIS OF THE TWO-WAY VARIANCE, ANALYSIS OF THE INTERACTIONS BETWEEN FACTORS, SURFACE METHODS. PROCESS CAPACITY ANALYSIS (5 HOURS THEORY, 3 HOURS EXERCISE).
CAPACITY INDICES, CAPACITY ANALYSIS WITH HISTOGRAMS AND PROBABILITY CHARTS, CAPACITY ANALYSIS WITH PLANNED EXPERIMENTS, ESTIMATION OF THE NATURAL TOLERANCE LIMITS OF A PROCESS. CONTROL CHARTS. CHARTS FOR VARIABLES AND CHARTS FOR ATTRIBUTES, CONTROL LIMITS. (6 HOURS THEORY, 5 HOURS EXERCISE).

	Teaching Methods
	THE COURSE INCLUDES THEORETICAL LESSONS AND NUMERICAL CLASSROOM EXERCISES, ALSO PERFORMED WITH THE AID OF THE CALCULATOR THROUGH CODES AND APPS COMPLETED IN THE MATLAB ENVIRONMENT. IN THE CLASSROOM LESSONS, SOME CASE STUDIES ARE DISCUSSED IN ORDER TO PROMOTE THE USE OF THEORETICAL CONTENT AND STIMULATE, THROUGH GROUP ACTIVITIES, THE FORMULATION OF APPROPRIATE SOLUTIONS.

	Verification of learning
	THE EXAM CONSISTS OF A WRITTEN TEST, A DISCUSSION WITH EVALUATION OF A CASE STUDY AND A MANDATORY ORAL TEST. THE WRITTEN EXAM INVOLVES TWO EXERCISES WITH NUMERICAL ANSWERS, TO BE CARRIED OUT WITHOUT THE AID OF BOOKS, SLIDES OR NOTES. THE DURATION OF THE WRITTEN EXAM IS 1 HOUR. THE TEST IS AIMED AT ASSESSING THE STUDENT'S KNOWLEDGE ON THE IMPROVEMENT AND CONTROL OF PRODUCTION PROCESSES. THE REPORT ON THE CASE STUDY IS AIMED AT EVALUATING THE SKILLS ACQUIRED BY STUDENTS THROUGH THE GROUP WORK ASSIGNED DURING THE COURSE. THE ORAL EXAM IS AIMED AT ASSESSING THE STUDENT'S KNOWLEDGE OF: 1) ANALYSIS OF EXPERIMENTAL DATA; 2) EVALUATION OF PROCESS IMPROVEMENT; 3) ASSESSMENT OF THE LEVEL OF QUALITY DRAWN FROM A MANUFACTURING PROCESS; 4) COMPARATIVE ANALYSIS METHODOLOGIES OF MANUFACTURING SYSTEMS. THE WRITTEN TEST GIVES A MAXIMUM SCORE OF 20/30, THE CASE REPORT GIVES A MAXIMUM SCORE OF 10/30; THE STUDENT ENTERS THE ORAL TEST IF THE CUMULATIVE SCORE, ACHIEVED IN THE WRITTEN TEST AND IN THE DISCUSSION OF THE CASE STUDY, IS AT LEAST EQUAL TO 18/30. THE MAXIMUM SCORE FOR THE ORAL EXAM IS 30/30. THE FINAL MARK IS DETERMINED BY THE AVERAGE BETWEEN THE CUMULATIVE SCORE OF THE WRITTEN TEST AND THE REPORT ON THE CASE STUDY, AND THE SCORE OF THE ORAL TEST; HONOR IS AWARDED IF THE STUDENT SHOWS AUTONOMOUS PROCESSING SKILLS AND LOGICAL CONNECTION BETWEEN THE COURSE TOPICS.

Verification of learning

THE EXAM CONSISTS OF A WRITTEN TEST, A DISCUSSION WITH EVALUATION OF A CASE STUDY AND A MANDATORY ORAL TEST.
THE WRITTEN EXAM INVOLVES TWO EXERCISES WITH NUMERICAL ANSWERS, TO BE CARRIED OUT WITHOUT THE AID OF BOOKS, SLIDES OR NOTES. THE DURATION OF THE WRITTEN EXAM IS 1 HOUR. THE TEST IS AIMED AT ASSESSING THE STUDENT'S KNOWLEDGE ON THE IMPROVEMENT AND CONTROL OF PRODUCTION PROCESSES.
THE REPORT ON THE CASE STUDY IS AIMED AT EVALUATING THE SKILLS ACQUIRED BY STUDENTS THROUGH THE GROUP WORK ASSIGNED DURING THE COURSE.
THE ORAL EXAM IS AIMED AT ASSESSING THE STUDENT'S KNOWLEDGE OF: 1) ANALYSIS OF EXPERIMENTAL DATA; 2) EVALUATION OF PROCESS IMPROVEMENT; 3) ASSESSMENT OF THE LEVEL OF QUALITY DRAWN FROM A MANUFACTURING PROCESS; 4) COMPARATIVE ANALYSIS METHODOLOGIES OF MANUFACTURING SYSTEMS.
THE WRITTEN TEST GIVES A MAXIMUM SCORE OF 20/30, THE CASE REPORT GIVES A MAXIMUM SCORE OF 10/30; THE STUDENT ENTERS THE ORAL TEST IF THE CUMULATIVE SCORE, ACHIEVED IN THE WRITTEN TEST AND IN THE DISCUSSION OF THE CASE STUDY, IS AT LEAST EQUAL TO 18/30.
THE MAXIMUM SCORE FOR THE ORAL EXAM IS 30/30. THE FINAL MARK IS DETERMINED BY THE AVERAGE BETWEEN THE CUMULATIVE SCORE OF THE WRITTEN TEST AND THE REPORT ON THE CASE STUDY, AND THE SCORE OF THE ORAL TEST; HONOR IS AWARDED IF THE STUDENT SHOWS AUTONOMOUS PROCESSING SKILLS AND LOGICAL CONNECTION BETWEEN THE COURSE TOPICS.