TTHHEEOORRYY OOFF CCOONNTTRROOLL … OOFF CCOONNTTRROOLL AANNDD RREEGGUULLAATTIIOONN ... The study...

Faculty of Mechanical Engineering

Subject area of studies: Mechanics and Mechanical Engineering

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Course code: 06.1-WM-MiBM-S1-AiOPP-02_09

06.1-WM-MiBM-N1-AiOPP-02_09

Type of course: Compulsory

Language of ins truc t ion: Polish

Direc tor of studies: Prof. dr hab. inŜ. M. Galicki

Name of lec turer : Prof. dr hab. inŜ. M. Galicki

Form of instruct ion

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Number of ECTS

credi ts a l loca ted

Ful l - t ime studies

Lecture 15 1 Grade

Class - -

Laboratory 30 2 Grade

Seminar - -

Workshop - -

Pro jec t - -

VI

Part - t ime s tudies

Lecture 9 1 Grade

Class - -


Seminar - -

Workshop - -

Pro jec t - -

VI

3

COURSE AIMS: The aim of the course is to familiarize students with control systems: control objects and their division, stability systems, the objects identification, the design and testing of control systems. Transfer of knowledge of tasks formulating and problem solving of the dynamic objects control with particular emphasis on the mechanical systems.

PREREQUISITIES:

The mathematical analysis and probability, the ability to use IT tools: Matlab / Scilab



COURSE CONTENTS: Lecture content.

Control and regulation systems and their classification. The cntinuous linear systems (controllability and observability). The choice of the state variables for the system (control object). The fundamental dynamic elements (inertial and noninertial elements, integral, derivative, proportionate, oscillating and delay elements). Stability of the linear systems. Quality and sensitivity of control systems. The observers of linear systems. The discrete linear systems. Controllability, observability and stability of the discrete linear systems. Unsteady continuous and discrete linear systems, non-linear systems. Basic types of elements of non-linear systems. Observability controllability of nonlinear systems. Stochastic processes in control systems. Optimal control.

Laboratory content: MATLAB / Scilab –software for modeling, simulation and analysis of dynamic systems. Determination of the time and frequency characteristics of the basic objects of regulation. Investigation of the operational control systems. Examination of the static and astatic control systems. Linear regulators - analysis of temporal characteristics. PID tuning. Characteristics and analysis of the selected objects and control systems. The study of stability control systems. Determination of the characteristics of nonlinear static elements. Analysis of selected non-linear systems.

TEACHING METHODS: Lectures with audiovisual aids. Working with the book and journals. Individual and group work in laboratory classes. Presentation of solutions, discussion of the obtained solutions.

LEARNING OUTCOMES: The

reference to the learning outcomes of the field of

study

Knowledge, skills, competence

K_W08 Is able to characterize the different control systems and to formulate a mathematical description of real control objects

K_W08 Can name the basic dynamic elements and make a mathematical description of these elements.

K_U08 K_U18

He can analyze the action of selected control and regulation systems. He can design a control system and simulate its operation.

K_U13 Can use software tools for modeling, simulation and analysis of objects and control systems.

K_U08 K_U09 K_U15

Shall evaluate of control systems and properly selects the parameters of such systems.

K_U01 K_U05

Is determined to find a task solutions

LEARNING OUTCOMES VERIFICATION AND ASSESSMENT CRITERIA: The verification methods for learning outcomes are presented in the table below:

The reference to the learning

outcomes of the field of study

The method of the learning outcomes assessment

K_W08 Written test

K_W08 K_U01 K_U05 K_U08 K_U09 K_U13 K_U15 K_U18

Assessment of the laboratory is based on: the laboratory exercises and reports/programs resulting from the execution of all exercises to be exercised.

To get a credit the student has to receive all passing grades. The final grade received by the student is the arithmetic mean of the above grades.



STUDENT WORKLOAD: The student workload of 76 (73) hours, including work in the auditorium 45 (28) hours, consultations 1 (1) hours, and individual work 30 (45) hours, including: preparation for classes and preparation of reports and audit work 25 (30) hours, preparation for the written test 5 (15) hours.

Total hours of practical classes: 56 (49) which corresponds to 2 ECTS. Total hours of lessons with a teacher: 46 (28) which corresponds to 2 ECTS

RECOMMENDED READING: 1. T. Kaczorek, Teoria sterowania i systemów, WNT, Warszawa, 1999,

2. T. Kaczorek i inni, Podstawy teorii sterowania, WNT, Warszawa 2005.

3. Jędrzykiewicz Z.: Teoria sterowania układów jednowymiarowych. Wydawnictwa AGH. Kraków 2007

4. H. Górecki, Algorytmy i programy sterowania, WNT, Warszawa, 1980,

5. Z. Budnicki, Teoria i algorytmy sterowania, Wydawnictwo Naukowe PWN, Warszawa, 2002,

6. Włodzimierz Kwiatkowski, Podstawy teorii sterowania. Wybrane zagadnienia. BEL 2007

7. K. Ogata, Metody przestrzeni stanów w teorii sterowania, WNT, Warszawa 1974r.

8. Chorowski B., Werszko M., Mechaniczne Urządzenia Automatyki, Wydawnictwo Naukowo-Techniczne, Warszawa 1975 i nowsze,

OPTIONAL READING: 1. Amborski K., Marusak A., "Teoria sterowania w ćwiczeniach". PWN, Warszaw 1978.

REMARKS: Workloads in parentheses are the numbers for part time studies.



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Course code: 06.1-WM-MiBM-S1-AiOPP-06.1_09

06.1-WM-MiBM-N1-AiOPP-06.1_09

Type of course: Optional


Direc tor of studies: dr inŜ. Edward Tertel

Name of lec turer :

dr inŜ. Edward Tertel

dr inŜ. Joanna Cyganiuk

dr inŜ. Piotr Kuryło


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Form of rece iving a credit

for a course

Number of ECTS



Lecture 15 1 Exam

Class - -


Seminar - -

Workshop - -

Pro jec t - -

VII


Lecture 9 1 Exam

Class - -


Seminar - -

Workshop - -

Pro jec t - -

VII

5

COURSE AIMS: The aim of the course is to introduce students to the basic issues of materials and decisions flow at all stages of the production (sourcing, manufacturing, distribution). Knowledge of logistics infrastructure, and principles of selecting and design of its elements. To get acquainted with modern methods of logistics management. Awareness of importance of logistics of both economic as well as social terms.

PREREQUISITIES:



Mathematics Technological processes, Automation and Robotics.


The essence of logistics, definitions, origin, the essence of logistics management, the system approach and the process approach in logistics. Supply chain management. Logistics as a system - goals - elements - processes - environment. Classification of logistics tasks. Classification of logistics systems (institutional, material and functional criterions). The strategic importance of logistics. The transport as a subsystem of logistics (the transport infrastructure). Packaging in logistic systems. Storage, Warehouse infrastructure. Logistic centers. The logistic tasks in various business stages: supply, production, distribution and utilization.

Laboratory content: Identification of the basic operational, quality and logistics indicators in robotic manipulation of unit loads. Control of the flow process of liquid and semi-liquid media - the use of the sensors in the dispensing of media distribution systems. Identification of the unit loads in distribution systems using the barcode technology. Control of the goods flow process of - the use of the bar code scanners in the process of distribution of cargo. Determining of the Cartesian pneumatic manipulator workspace in the implementation of handling functions. Determination of the basic parameters of the selected handling equipment. Load manipulation in the automated picking process of loading units - functions and parameters. Determination of the functional parameters of cargo storage equipment – warehouses.

TEACHING METHODS: Lectures with audiovisual aids. Working with the book and journals. Individual and group work in laboratory classes. Presentation of solutions, discussion of the obtained solutions.



study


K_W18, Is able to define basic concepts of logistics and classify and describe main tasks/goals of the logistic system.

K_W18 K_U18

Distinguishes between the methods of storage products in warehouses and their corresponding infrastructure. Is able to plan distribution products in the warehouse using basic methods of inventory management.

K_W18 K_U18

He can to name and give a short description the logistics infrastructure elements. He can select / design the logistics infrastructure elements for a specific task, in particular, of storing and handling.

K_U18 Can design packaging and form of the unit load for a given product, and use the appropriate method of storage

K_U10 K_K02

Is conscious of the importance of logistics in the economy.

K_K01 Sees rapid development of logistic infrastructure and is aware of the need to tracking changes in this area.





K_W18, Exam, audit work

Assessment of of the course is determined on the basis of ratings for audit work (weight = 0.4) and exam (weight = 0.6).

K_U10 K_U18




K_K01 K_K02


STUDENT WORKLOAD: The student workload of 125 (125) hours, including work in the auditorium 45 (27) hours, consultations 3 (1) hours, participations in the exam 2 (2) hours, and individual work 75 (95) hours, including: preparation for classes and preparation of reports and audit work 50 (70) hours, preparation for the exam 20 (25) hours.


RECOMMENDED READING: 1. Blaik P., Logistyka, PWE, Warszawa, 2001 2. Stanisław KrzyŜaniak, Piotr Cyplik Zapasy i magazynowanie, ILiM 2008 3. Marek Fertsch, Piotr Cypli, Logistyka produkcji. Teoria i praktyka ILiM 2010 4. Coyle J., Bardi E., Langley J., Zarządzanie logistyczne, PWE, 2002 5. Sarjusz-Wolski Z., Skowronek C., Logistyka, CIM, Warszawa 1995 6. Korzeń Zb., Logistyka w transporcie towarów, 1998 7. Korzeń Zb., Logist. syst. transp. bliskiego i magaz. 1998

OPTIONAL READING: 1. Logistyka– dwumiesięcznik. 2. Logistyka a jakość – dwumiesięcznik 3. Nowoczesny magazyn - dwumiesięcznik 4. http://www.logistyka.net.pl/ 5. http://nm.pl/




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Name of lec turer :


dr inŜ. Joanna Cyganiuk



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Number of ECTS



Lecture 15 1 Exam

Class - -


Seminar - -

Workshop - -

Pro jec t - -

VII


Lecture 9 1 Exam

Class - -


Seminar - -

Workshop - -

Pro jec t - -

VII

5

COURSE AIMS: Acquainting students with the problems in the field of materials handling and storage, with particular reference to the automation of these processes. Discussion of the problems of packaging and loading units as elements allowing automation. Acquainting students with equipment to enable automated handling and storage - the principles of selection of equipment as well as selected aspects of their operation.

PREREQUISITIES:



Technological processes Automation and Robotics.


The essence of logistics, definitions, origin, the essence of logistics management, the system approach and the process approach in logistics. Characteristics and tasks of the transportation systems. The strategic importance of internal transport. Packaging. Loading units. The dimensional systems of packaging and loading units. Characteristics of machinery and equipment used in the technological transport - automated machines. The use of automated transport trucks in the storage transport. Interoperability in the transport processes. Warehouse Infrastructure, automated warehouse. Transport and storage process automation. Compatibility with automated high-storage warehouse. Laboratory content:

Packaging design and selection of the dimensions of loading units. Identification of the basic operational, quality and logistics indicators in robotic manipulation of unit loads. Determining of the Cartesian pneumatic manipulator workspace in the implementation of handling functions. Determination of the basic parameters of the selected handling equipment. Load manipulation in the automated picking process of loading units - functions and parameters. Determination of the functional parameters of cargo storage equipment – warehouses.

TEACHING METHODS: Lectures with audiovisual aids. Working with the journals.

Individual and group work in laboratory classes. Presentation of solutions, discussion of the obtained solutions.



study


K_W18, Is able to define basic concepts of logistics K_W18 He can classify and describe main tasks of the handling and storage systems. K_W18 He can name and give a short description of infrastructure elements of handling

and storage, with particular reference to automation. K_W18 Is able to define notion of packaging, classify of packaging, explain the basic

functions of packaging and characterize the packaging dimensional system. K_U18 He can select/design the infrastructure elements for the specific logistics task in the

field of automated storage and handling. K_U18 Can design the collective packaging and form of the unit load for a given product

and use the appropriate method of storage. K_U15 K_U18

He can analyze the possibility of automation in the processes of storage and handling

K_U10 K_K02

Is conscious of the importance of logistics in the economy.

K_K01 Sees rapid development of logistic infrastructure, especially in terms of automated equipment and is aware of the need to tracking changes in this area.





K_W18, Exam, audit work


K_U10 K_U15




K_U18 K_K01 K_K02


STUDENT WORKLOAD: The student workload of 125 (125) hours, including work in the auditorium 45 (27) hours, consultations 3 (1) hours, participations in the exam 2 (2) and individual work 75 (95) hours, including: preparation for classes and preparation of reports and audit work 50 (70) hours, preparation for the exam 20 (25) hours.


RECOMMENDED READING: 1. Coyle J., Bardi E., Langley J., Zarządzanie logistyczne, PWE, 2002 2. Sarjusz-Wolski Z., Skowronek C., Logistyka, CIM, Warszawa 1995 3. Korzeń Zb., Logistyka w transporcie towarów, 1998 4. Korzeń Zb., Logist. syst. transp. bliskiego i magaz. 1998

OPTIONAL READING: 1. Logistyka– dwumiesięcznik. 2. Logistyka a jakość – dwumiesięcznik 3. Nowoczesny magazyn - dwumiesięcznik 4. http://www.logistyka.net.pl/ 5. http://nm.pl/


Wydział Mechaniczny Kierunek: Mechanika i Budowa Maszyn

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Type of course: optional

Language of ins truc t ion: English

Direc tor of studies: dr inŜ. Joanna Cyganiuk

Name of lec turer : dr inŜ. Joanna Cyganiuk


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Number of ECTS



Lecture 15 1 Exam

Class


Seminar

Workshop

Pro jec t

VI


Lecture 8 1 Exam

Class


Seminar

Workshop

Pro jec t

VI

5

COURSE AIM: The aim of the course is to familiarize students with the methods of mathematical and physical modeling as well as with methods and techniques of processes simulation. To familiarize students with the options of the use of the methods in modeling and simulation of processes like: production, transport, manipulation and machines automation occurring in these processes.

ENTRY REQUIREMENTS: Mathematics, Physics, Engineering Mechanics, Fundamentals of Machine Design, Automation and Robotics, The ability to use basic computer tools,


COURSE CONTENTS:

The content of the lecture: Basic concepts connected with modelling and simulation of processes: model, system, simulation, process. Model construction. Types of models and algorithms of modelling processes. Issues connected with mathematical and physical modelling and simulation of processes: data types and their collection, define parameters and variables, define a problem. Methods of formalization of description of process and object. Apparatus of dimensional analysis - theorem π. Modelling with the use of dimensional functions. Queuing models. Network models. Petri network. Scheduling. Computer tools in modelling and simulation of processes. The use of practical examples of modeling and simulation methods.

The content of the laboratory: Create virtual models, dimensional analysis and simulation of appliances used in automation of production and transport processes. The use of queueing models – queueing systems with or without queue. The use of network models in analysis of automated production systems including Petri network. The use of operation planning schedules including automation and manufacturing processes.

TEACHING METHODS: Lecturers are given with the use of multimedia technics. Work with specialist literature – textbooks, professional journals. Laboratories are given with the use of computer software – methods: problem tasks, solution analysis. Individual and group job during the realization of laboratory exercises.

LEARNING OUTCOMES: In the field of

technical sciences


K_W12 K_W16

The student knows computational methods, basic tools and techniques of informatics needed in solving engineering tasks which are essential in modeling and processes simulation.

K_W22 The student has knowledge of the simulation and analysis of mechanical systems, automation, transport and manipulation appliances and production processes.

K_U08 The student can plan and carry out computer simulations, to interpret the results and to draw conclusions.

K_U09 K_U13

The student uses modern simulation and analytical computational methods for modeling and simulation of processes like engineering problems.

K_U15 The student can make a critical analysis of the way of functioning of processes of modeling and simulation including used in processes appliances, operations, and planning methods.

K_K04 The student can identify aims and priorities used for tasks set by him and others.

K_K06 The student can demonstrate the ingenuity and skill in selection of appropriate modeling and simulation methods, depending on considered problem.


LEARNING OUTCOMES VERIFICATION AND ASSESSMENT CRITERIA:

Rules for the verification of learning outcomes are presented in the table below. In the field of technical

sciences Knowledge, skills, competence

K_W12 K_W16 K_W22

The Exam Grade.

The Exam Grade is based on written test. It is an arithmetic average from grades of written answers.

K_U08 K_U09 K_U13 K_U15 K_K04 K_K06

The Grade is based on realization of laboratory classes.

The laboratory Grade is determined from lab reports and from modeling results.

The laboratory Grade is an arithmetic average from grades of reports and from modelling results.

To get a credit the student has to pass all course forms. The final grade received by the student is the arithmetic mean of the above grades.

STUDENT WORKLOAD: The student workload of 127(113) hours, including work in the auditorium 45(27) hours, participate in consultations 15(20) hours, individual work 65(64) hours including preparation for classes and study reports, 35(39) hours, exam preparation 25(20) hours.

Total hours of practical classes: 80(77) which corresponds to 3 ECTS

Total hours of lessons with a teacher: 62(49), which corresponds to 2 ECTS

RECOMMENDED READING: 1. Barker R., Longman C., Modelowanie funkcji i procesów, WNT, Warszawa 1996, 2. Kacprzyk J., Modelowanie i optymalizacja: metody i zastosowania, Akademicka Oficyna

Wydawnicza EXIT, Warszawa 2002, 3. Iwanik A., Misiewicz J. K., Wykłady z procesów stochastycznych z zadaniami. Cz. 1, Procesy

Markowa, Oficyna Wydawnicza Uniwersytetu Zielonogórskiego, Zielona Góra 2009, 4. Kasprzak W. Lysik B., Analiza wymiarowa: algorytmiczne procedury obsługi eksperymentu, WNT,

Warszawa 1988. 5. Krupa Krzysztof, Modelowanie symulacja i prognozowanie, WNT, Warszawa 2008, 6. Starke P. H., Sieci Petri: podstawy, zastosowania, teoria, PWN, Warszawa 1987, 7. Zdanowicz R., Modelowanie i symulacja procesów wytwarzania, Wydawnictwo Politechniki

Śląskiej, Gliwice 2007,

OPTIONAL READING: 1. Abramov S. A., Marinicev M. I., Polakov P. D., Metody analizy sieciowej w planowaniu

i zarządzaniu, Wydawnictwo MON, Warszawa 1967, 2. Korzeń Z., Logistyczne systemy transportu bliskiego i magazynowania Tom II Projektowanie,

modelowanie, zarządzanie, ILiM, Poznań 1998, 3. Modelowanie inŜynierskie – czasopismo, 4. Oniszczuk W.: Metody modelowania, Wyd. Politechnika Białostocka, Białystok 1995, 5. Gnedenko B.V. Kovalenko I. N., Wstęp do teorii obsługi masowej, PWN, Warszawa1971.

REMARKS: The student workloads written in brackets are the numbers for external studies.


SSS UUU PPP EEE RRR VVV III SSS III OOO NNN SSS YYY SSS TTT EEE MMM SSS AAA NNN DDD VVV III SSS UUU AAA LLL III SSS AAA TTT III OOO NNN OOO FFF PPP RRR OOO DDD UUU CCC TTT III OOO NNN PPP RRR OOO CCC EEE SSS SSS EEE SSS



Type of course: optional

Language of ins truc t ion: English

Direc tor of studies: dr inŜ. Joanna Cyganiuk

Name of lec turer : dr inŜ. Joanna Cyganiuk


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Number of ECTS



Lecture 15 1 Exam

Class


Seminar

Workshop

Pro jec t

VI


Lecture 9 1 Exam

Class


Seminar

Workshop

Pro jec t

VI

5

COURSE AIM: The aim of the course is to familiarize students with the supervision and visualization systems used in production processes. To familiarize students with the applied methods of supervision of production processes including appliances supporting their supervision as well as with the methods of computer visualization used in automated processes like production, transport, manipulation.

ENTRY REQUIREMENTS: Mathematics, Physics, Engineering Mechanics, Fundamentals of Machine Design, Automation and Robotics, The ability to use basic computer tools,


COURSE CONTENTS:

The content of the lecture: Process definition, division of supervision processes. Types of supervised physical, geometrical and electrical quantities and their division. Methods and means for processes supervision. The concept of processes visualization and areas of its application. Introduction to the SCADA systems. Discussion of methods for creating visualization applications on the example of the Wonderware In Touch. Presentation methods for creating visualization applications in In Touch program for sample processes.

The content of the laboratory: Collecting information from external sensors – working with the controller and with the sensors analyzing signals from processes. Creating applications in In Touch program for given process conditions and analysis of application correctness and its modernization. Cooperation between application and controller.

TEACHING METHODS: Lecturers are given with the use of multimedia technics. Work with specialist literature – textbooks, professional journals. Laboratories are given with the use of computer software – methods: problem tasks, solution analysis. Individual and group job during the realization of laboratory exercises.

LEARNING OUTCOMES: In the field of

technical sciences


K_W12 K_W16

The student knows supervision and visualization methods, used in production processes, transport processes, manipulation processes and processes of automation.

K_W22 The student has knowledge of the supervision systems and appliances used in these systems as well as he has knowledge in the processes visualization area which are characteristic for automated production.

K_U08

The student can create application which is used for simulation and visualization of production processes, he is able to collect process data and use them for visualization and for interpretation state of process. He is able to draw conclusions and suggest solutions.

K_U13 The student can use modern computational methods for creating the application for solving engineering problems in the range of supervision of manufacturing systems.

K_U15 The student can make a critical analysis of the way of functioning of supervising appliances and of the way of working created applications.

K_U17 The student can assess usefulness appliances used for supervision of manufacturing processes. He knows how to select them.

K_K04 The student can identify aims and priorities used for tasks set by him and others.

K_K06 The student can demonstrate the ingenuity and skill in selection of appropriate supervision appliances for selected production processes.


LEARNING OUTCOMES VERIFICATION AND ASSESSMENT CRITERIA:

Rules for the verification of learning outcomes are presented in the table below. In the field of technical

sciences Knowledge, skills, competence

K_W12 K_W16 K_W22

The Exam Grade.

The Exam Grade is based on written test. It is an arithmetic average from grades of written answers.

K_U08 K_U09 K_U13 K_U15 K_K04 K_K06

The Grade is based on realization of laboratory classes.

The laboratory Grade is determined from lab reports and from created applications.

The laboratory Grade is an arithmetic average from grades of reports and from created applications.

To get a credit the student has to pass all course forms. The final grade received by the student is the arithmetic mean of the above grades.

STUDENT WORKLOAD: The student workload of 125(103) hours, including work in the auditorium 45(27) hours, participate in consultations 18(9) hours, individual work 60(65) hours including preparation for classes and study reports, 30(30) hours, exam preparation 25(30) hours.

Total hours of practical classes: 78(57) which corresponds to 3 ECTS

Total hours of lessons with a teacher: 65(38), which corresponds to 3 ECTS

RECOMMENDED READING: 1. Rząsa Mariusz R., Kiczma Bolesław : Elektryczne i elektroniczne czujniki temperatury,

Wydawnictwo Komunikacji i Łączności 2005, 2. Nawrocki W.: Sensory i systemy pomiarowe, Wydawnictwo Politechniki Poznańskiej,2006, 3. Piotrowski J. i inni, Pomiary – czujniki i metody pomiarowe wybranych wielkości i składu

chemicznego, WNT, Warszawa 2009, 4. Podręcznik Wonderware, In Touch – opisy funkcji, pól i zmiennych systemowych, Kraków 2000, 5. Podręcznik Wonderware, In Touch – pierwsze kroki, Kraków 1999, 6. Podręcznik In Touch – wizualizacja, USA 2009 7. Zakrzewski J. Czujniki i przetworniki pomiarowe – podręcznik problemowy, Wydawnictwo

Politechniki Śląskiej, Gliwice 2004,

OPTIONAL READING: 1. Podręcznik szkoleniowy Wonderware, In Touch – szkolenie podstawowe, Kraków 1998, 2. Taler D. :Pomiar ciśnienia,, prędkości i strumienia przepływu płynu, Kraków : Uczelniane

Wydawnictwa Naukowo-Dydaktyczne AGH, 2006. 3. van de Kamp Wim: Fülstandmeßtechnik in theorie und praxis, Tedopres, Dongen 1990,

REMARKS: The student workloads written in brackets are the numbers for external studies.



QQQ UUU AAA LLL III TTT YYY EEE NNN GGG III NNN EEE EEE RRR III NNN GGG






Name of lec turer : dr inŜ. Edward Tertel



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Number of ECTS



Lecture 15 1 Exam

Class - -


Seminar - -

Workshop - -

Pro jec t - -

VII


Lecture 9 1 Exam

Class - -


Seminar - -

Workshop - -

Pro jec t - -

VII

3

COURSE AIMS:

To acquaint students with the basic terms in the field of quality assurance and quality management. Knowledge of methods and the evaluation procedures of the quality evaluation of products, services and activities. Understanding the basic concepts of quality management. Acquaint with the ISO9OOO quality standards, industry standards. Discussion of basic procedures for implementing and maintaining quality management systems.

PREREQUISITIES:

Mathematics, Metrology, Elements of statistics, the ability to use fundamental IT-tools.




The concept of quality and its definitions. Fundamental factors affecting the quality of production processes. Aspects and criteria for evaluation of the quality. The concept of quality and its definitions. Fundamental factors affecting the process and quality of production processes. Aspects and criteria for evaluation of the quality. Reliability, reliability functions. Quality systems according to the ISO series of standards, ISO 9000: basics and terminology. Quality management according to the DIN EN ISO 9001. The quality system documents. The implementation of quality management systems. Quality of processes, quality of work, quality of products quality of service. TQM - Total Quality Management objectives, concept and implementation. Six sigma - quality management by measurement of efficiency. The basic principles of Six Sigma, the implementation of the system, the use of statistical methods. Selected quality management tools. Laboratory content:

Evaluation of the quality of the selected product. Determination of the reliability function for selected devices. Mapping process flow for a given production task. Elements of QMS documentation in accordance with DIN EN ISO 9001 - discussion, comparative assessment. The use of selected quality management tools. Six sigma - determining of the Six Sigma quality measure for specific products/processes. Statistical Measures of Quality in the Six Sigma, setting short-term and long-term capability of the process.

TEACHING METHODS: Lectures with audiovisual aids. Working with the books and journals.




study


K_W18, Is able to define basic concepts of quality of and quality management K_W18 He can name the standards of ISO9000 family of standards, and give a short

description of their subject matter. Is able to characterize elements of the QMS documentation in accordance with ISO9001. Can apply the requirements of ISO9000 to create a quality management system documentation.

K_W18

Is able to characterize the basic principles of quality management. Can describe the basic concepts of quality management, explain the basic differences and similarities.

K_U11 K_U15

He can carry out an evaluation of the quality of the product by choosing appropriate evaluation criteria. Properly interprets the results.

K_U17 Can apply and implement the basic tools of quality management. K_K02 Is aware of the consequences, both good as well as poor quality of products and

processes.





K_W18 K_K02

Exam, audit work


K_U11 K_U15 K_U17 K_K02





STUDENT WORKLOAD: The student workload of 70 (70) hours, including work in the auditorium 30 (18) hours, consultations 3 (1) hours, , participations in the exam 2 (2) hours, and individual work 35 (49) hours, including: preparation for classes and preparation of reports and audit work 30 (36) hours, preparation for exam 5 (13) hours.


RECOMMENDED READING: 1. Hamrol Adam, Mantura Władysław: Zarządzanie jakością. Teoria i praktyka, Wydawnictwo

Naukowe PWN, 2006 2. Hamrol Adam: Zapewnianie jakości w procesach wytwarzania, Wydawnictwo Politechniki

Poznańskiej, Poznań, 1995 3. Praca zbiorowa, red. Tabor Adam, Zając Andrzej, Rączka Marek: Zarządzanie jakością Tom I –

Jakość i systemy zapewnienia jakości, Tom II –Jakość w procesach wytwarzania – podręcznik dla studentów wyŜszych szkół technicznych. Kraków 2000

4. M. Urbaniak: Zarządzanie Jakością. Teoria i praktyka, Wyd. Difin, Warszawa 2004, 5. M. Urbaniak: Systemy zarządzania w praktyce gospodarczej, Wyd. Difin, Warszawa 2006. 6. Normy ISO serii 9000,

OPTIONAL READING: 1. Miesięczniki: Problemy Jakości, Normalizacja.




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Type of course: Compulsory


Direc tor of studies: Prof. dr hab. inŜ. Mirosław Galicki

Name of lec turer :

Prof. dr hab. inŜ. M. Galicki




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for a course

Number of ECTS



Lecture 30 2 Grade

Class - -


Seminar - -

Workshop - -

Pro jec t - -

VII


Lecture 18 2 Grade

Class - -


Seminar - -

Workshop - -

Pro jec t - -

VII

2

COURSE AIMS:

Acquainting students with the basic terms and definitions in the field of optimization, the essence of optimization, mathematical basis of optimization. Identify methods and tools for solving optimization problems, with particular reference to applications in mechanics and mechanical engineering.

PREREQUISITIES:



The mathematical analysis, elements of the theory of probability, the ability to use IT tools: spreadsheets, Matlab / Scilab.


The properties of extremes of multivariable functions. Extremes of function without the constraint. Extremes function with the constraints of equality. The method of Lagrange multipliers. Extremes functions with the constraints limiting inequality. Regularity and irregularity. Dual task of optimization. Linear functions with linear constraint. The dual linear optimization task. Simplex method to solve the linear programming problem. Gradient algorithms for determine the minimum of functions without the constraints. The methods of finding the minimum point at restrictive conditions. Finding extreme points of the function in the presence of noise. Laboratory content:

MATLAB / Scilab-tools to perform engineering and scientific calculations and presenting the results of calculations. Solving the "simple" tasks of optimization with two decision variables by the graphical method - discrete optimization. Formulating a mathematical description of ZPL. The use of tools such as SOLVER to solve the ZPL. Solving the ZPL using SYMPLEX method - filling simplex tables, the use of ready-made programs. Nonlinear Optimization - sample application programs, comparing the effectiveness of different methods of nonlinear optimization.

TEACHING METHODS: Lectures with audiovisual aids. Working with the journals.




study


K_W22 The student is able to define the basic concepts of optimization and give a name and a short description the types of optimization.

K_W01 K_W22

He can to formulate a mathematical description of optimization tasks.

K_U09 K_U16 K_K04

He can analyze the optimization task and apply the appropriate method to solve it.

K_U13 K_U17

Is able to solve a linear programming problems using a variety of methods and tools, in particular IT-tools.

K_U17 He can critically evaluate the results of optimization. K_K01 It is open to the use of different tools to solve optimization tasks





K_W01 K_W22

Written test

K_W01 K_W22 K_U09 K_U13 K_U16 K_U17 K_K01




K_K04


STUDENT WORKLOAD: The student workload of 66 (52) hours, including work in the auditorium 60 (36) hours, individual work 6 (16) hours, including: preparation for classes and preparation of reports 4 (10) hours, preparation for the written test 2 (6) hours.


RECOMMENDED READING: 1. Brdyś M., Ruszczyński A., Metody optymalizacji w zadaniach. Warszawa, WNT, 1985,

2. Findeisen W., Szymanowski J., Wierzbicki A., Teoria i metody obliczeniowe optymalizacji. Warszawa, PWN, 1980,

3. Seidler J., Badach A., Molisz W., Metody rozwiązywania zadań optymalizacji. Warszawa, Podręczniki Akademickie, 1990.

OPTIONAL READING: 1. Koronacki J., Aproksymacja stochastyczna: metody optymalizacji w warunkach losowych.

Warszawa, WNT, 1989


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