Transilvania University of Braşov, Romania Study program : Quality Management

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1 Transilvania University of Braşov, Romania Study program : Quality Management Faculty Technological Engineering and Industrial Management Study program (Curriculum) Study period 2 years (master) Academic year structure 2 semesters (14 weeks per semester) Examination sessions (two) winter session (January/February) summer session (June/July) Courses per years Year I No. Course Semester I Semester II C S L P Cred C S L P Cred crt. 01 Projects IT.MC.I Risk IT.MC.I Quality system IT.MC.I a Probability and applied statistics IT.MC.O.01.04a b Power quality IT.MC.O.01.04b SPECIALISATION 1: Quality applied in engineering 01 Quality audit and certification IT.MC.O Environmental quality IT.MC.O Modern control technologies and IT.MC.O equipment 04 Statistical quality control I IT.MC.O Reliability IT.MC.O Optional direction: Quality in electro-energetic engineering 06 Informatics for systems IT.MC.O Energy consumption forecasting IT.MC.O Equipment and plants to produce, IT.MC.O transport and distribute electricity SPECIALISATION 2: Quality applied in services 01 Audit and quality certification IT.MC.O Environment quality IT.MC.O Quality in services IT.MC.O Statistical methods for data analysis/ IT.MC.O simulation 11 Computer aided data analysis IT.MC.O

2 Year II No. Semester I Semester II Course crt. C S L P Cred C S L P Cred SPECIALISATION 1: Quality applied in engineering 01 Statistical quality control II IT.MC.O Reliability analysis and security systems IT.MC.O Integrated maintenance systems IT.MC.O Occupational health and safety IT.MC.O Practical activity and/ or scientific research IT.MC.O wx6h=160h Dissertation IT.MC.O w x 16h=64h 10 Optional direction: Quality in electro-energetic engineering 03 Integrated maintenance IT.MC.O Electro-thermic plants IT.MC.O Efficient use of electricity IT.MC.O Power systems in holistic IT.MC.O concept 8 10 Practical activity and/ or scientific research IT.MC.O wx6h=160h Dissertation IT.MC.O w x 16h=64h 10 SPECIALISATION 2: Quality applied in services 04 Occupational health and safety IT.MC.O Quality rating IT.MC.O Improving processes quality IT.MC.O Quality culture IT.MC.O Practical activity and/ or scientific research IT.MC.O wx6h=160h Dissertation IT.MC.O w x 16h=64h 10 RESEARCH DIRECTION 17 Research IT.MC.O Testing industrial products IT.MC.O Experimental research IT.MC.O Quality of testing laboratories IT.MC.O Practical activity and/ or scientific research IT.MC.O wx6h=160h Dissertation IT.MC.O w x 16h=64h 10 Head of Manufacturing engineering Department Prof. PhD. eng. Gheorghe OANCEA Study program Coordinator Prof. PhD. eng. Valentin DIŢU DEAN of TEIM FACULTY Prof. PhD eng. Vladimir MĂRĂSCU-KLEIN 2

3 Transilvania University of Braşov, Romania Study program: Quality Management Faculty Technological Engineering and Industrial Management Study period 2 years (master) YEAR I Projects IT.MC.I Project theoretical aspects. - Project life cycle and organization. - Project knowledge areas: project integration ; project scope ; project quality ; project cost ; project communications. Risk IT.MC.I Risk theoretical aspects. - Risk processes: Risk Management Planning; Risk Identification; Qualitative Risk Analysis; Quantitative Risk Analysis; Risk Response Planning; Risk Monitoring and Control. - Taguchi risk. - Methods and tools used for risks assessment. - Risk for quality and reliability of technological processes. Quality system IT.MC.I Contributing approach to quality. - The ISO 9000:2006 specific terminology. - The concept of quality products. - Development of concept "quality" and related industrial practices. - ISO 9000 family of standards. - Requirements of the quality system according to ISO 9001 standard. - Quality system documentation. - Specific development of quality system. - Implementation of quality. - Quality tools. Probability and applied IT.MC.O.01.04a statistics - Sample space. Events. - Probability of events. - Fundamental probability theorems. - Discrete and continuous random variables, expectation and probability distributions. - Statistical important distributions. - Random Sampling and Data Description. - Distributions of Sampling Statistics. - Point and interval estimation. - Statistical hypotheses testing. Quality audit and IT.MC.O certification - quality systems documentation; 3

4 - main concepts regarding the audit of the systems; - audit process for the certification of the quality systems and case studies; - accreditation concepts; accreditation procedure; - differences and similitude between the certification and the accreditation process with case studies. Environmental quality IT.MC.O environment principle of sustainable development; - environment system; - implementation of environment system; - identification of environment aspects; - evaluation of environment aspects; - development of quality - environment integrated system. Modern control technologies IT.MC.O and equipment - basic elements in product quality control; - principles for construction and function of measurement instruments; - modern technologies for semi-finished product; - modern technologies of measurement and control in manufacturing engineering; - modern technologies for assembly processes; adaptive control in manufacturing engineering; - using computers in manufacturing engineering control; - economic efficiency in measurement processes. Statistical quality control I IT.MC.O Modelling process quality: the Stem-and-Leaf plot. The histogram. The Box Plot. - Statistical basis of the control charts. Basic principles. The choice of the control limits. The sample size and sample frequency. Rational subgroups. Analysis of patterns on control charts. Phase I and phase II of control chart application. The quality tools. - The control chart xbar and R, for average and range. Construction and interpretation for process control. The Operating Characteristic function. The Average Run Length. The process capability study in the case of the average and range chart. The control chart xbar and s, for average and standard deviation. Construction and interpretation for process control. The process capability study in the case of the average and standard deviation chart. The control chart xbar and s with variable sample size. - The control chart Me and R, for median and Range. Construction and interpretation for process control. The process capability study in the case of the median and Range chart. - The control chart x and MR, for individual measurements and Moving Range. Construction and interpretation for process control. The process capability study in the case of the individual measurements and Moving Range chart. - Normality and the process capability ratio. Gauge and measurement system capability studies. Reliability IT.MC.O acquirement of basic knowledge regarding the main issues of reliability maintainability and industrial systems availability, with different types of structure; evaluate these systems with specific procedures. 4

5 YEAR II Statistical quality control II IT.MC.O The p chart, for fraction nonconforming. The p chart with variable sample size. The Operating- Characteristic function and the Average Run Length for the p chart; - The np chart, for the number of nonconforming items; - The c chart, for the number of nonconformities. The Operating-Characteristic function and the Average Run Length for the c chart; - The u chart, for the number of nonconformities per unit. The u chart with variable sample size. The Operating-Characteristic function and the Average Run Length for the u chart; - The Cusum chart. Basic principles. The Tabular Cusum. The Fast Initial Response. The Cusum chart for monitoring the process variability; - The Exponentially Weighted Moving Average control chart for monitoring the process mean. The Moving Average control chart; - Other univariate Statistical Process Monitoring and Control Techniques. The xbar and R charts for short production runs. Modified and Acceptance Control Charts. Control charts for multiple-stream processes. - Lot-by-Lot Acceptance sampling plans. Basic principles. The Operating Characteristic Curve. Rectifying Inspection; - Acceptance sampling plans for attributes; Acceptance sampling plans for variables. Reliability analysis and security IT.MC.O systems - The acquirement of knowledge regarding the main issues concerning the security of industrial systems, using specific methods: fault tree analysis, event tree, failure mode and effects analysis etc. It is also considered the acquirement of knowledge necessary to use the specific software for system security. Integrated maintenance systems IT.MC.O introduction about the activity of maintenance in a company; - the stages of repairing machinery; - methods and processes of maintenance; - the analysis of maintenance systems; - methods of maintenance ; - maintenance by costs; - the analysis of efficiency of the maintenance activity. Occupational health and safety IT.MC.O Basically concepts - Elements of OH&S system - OHSAS policy - OHSAS implementation - Methodology of risks assessment of accidents and occupational health - Risk assessment of accidents and occupational health at workplaces - Development of quality - environment - OHSAS integrated system Head of Manufacturing engineering Department Prof. PhD. eng. Gheorghe OANCEA Study program Coordinator Prof. PhD. eng. Valentin DIŢU DEAN of TEIM FACULTY Prof. PhD eng. Vladimir MĂRĂSCU-KLEIN 5