| + | P:1.mr.sc. Branimir Preprotić dipl. inž. stroj.
P: Vesna Alić-Kostešić dipl.ing.stroj.
A:mr.sc. Branimir Preprotić dipl. inž. stroj.
S:mr.sc. Branimir Preprotić dipl. inž. stroj. | Asset management | 30+30 (20+0+10+0) (120) | 6 | 205422 | NO |
| Code WEB/ISVU
| 29728/205422
| ECTS
| 6
| Academic year
| 2023/2024
|
| Name
| Asset management
|
| Status
| 1st semester - Graduate Professional Study in Mechanical Engineering (Redovni diplomski strojarstvo) - obligatory course
|
| Department
|
|
| Teaching mode
| Lectures + exercises (auditory + laboratory + seminar + metodology + construction)
work at home
| 30+30 (20+0+10+0)
120
|
| Teachers
| Lectures:1. mr.sc. Branimir Preprotić dipl. inž. stroj.
Lectures: Vesna Alić-Kostešić dipl.ing.stroj.
Auditory exercises:mr.sc. Branimir Preprotić dipl. inž. stroj.
Seminar exercises:mr.sc. Branimir Preprotić dipl. inž. stroj.
|
| Course objectives
| To empower a student to understand that Asset management is not a separate process, but an integrated part of every business system. As Asset management team members they will be responsible to solve potential challenges and in position to give constant improvements proposals. Through the lessons the student will be familiar with the process of procurement, use and maintenance of the property, as well as planning and investment processes and human resources importance. As Asset management team member the student will be in position to solve various problem situations under realistic market conditions.
| | Learning outcomes: | 1.Identify the role and place of asset management within the business system. Level:6
2.Link importance of planning process and market analysis in order to ensure successful asset management. Level:6,7
3.Key performance indicators comment of asset management over the lifetime. Level:6
4.Identify the sequence and understand the importance of investment project monitoring. Level:6
5.Critically evaluate results of analysis of use fixed assets and maintenance based on method of reliability of asset management. Level:7
6.Be prepared for active participation in processes of asset management within the business system. Level:6,7
| | Methods of carrying out lectures | Ex cathedra teaching
Guest lecturer
Case studies
Discussion
The lessons are exhibited in a way that the theoretical framework combines with examples of practice and students are encouraged to give an overview of the examples they have come up with. | | Methods of carrying out auditory exercises | Group problem solving
Discussion, brainstorming
Interactive problem solving
Workshop
| | Methods of carrying out seminars | Essay writing
| | Course content lectures | 1.Definitions of Property Types, Historical Development of Property Management, Case Study Private Life Management, 3h, Learning outcomes:1
2.Strategic management process using the Balanced Scorecard (BSC) model, 3h, Learning outcomes:2
3.Key Principles of Managing Material Property, 3h, Learning outcomes:3
4.Property Management System according to British Standard International PASS 55 and according to ISO 55000, 3h, Learning outcomes:4
5.Benchmarking and Key Performance Indicators, 3h, Learning outcomes:4
6.Cost Analysis During Life-LCC Method 3h,, 3h, Learning outcomes:4
7.Risk management, 3h, Learning outcomes:5
8.Tools and methodologies for continuous improvement, and for creating new processes,, 3h, Learning outcomes:5
9.Maintenance in the Physical Property Management System,,, 3h, Learning outcomes:5
10.The relationship between Managing Material, Facility Management and Maintenance, 3h, Learning outcomes:6
11.Amplitude and phase frequency response
12.no class
13.no class
14.no class
15.no class
| | Course content auditory | 1.Type and purpose of Assets and the Process of Asset Management Planning, 2h, Learning outcomes:1,2
2.Market Analysis Methods Applying, 2h, Learning outcomes:3
3.Cost and revenue analysis in process of performance indicators calculation , 2h, Learning outcomes:3
4.I colloquium , 1h, Learning outcomes:1,2,3
5.Practical application of process norms in Asset management , 2h, Learning outcomes:4
6.Investment project analysis, 2h, Learning outcomes:4,5
7.Faults and damage monitoring of Fixed assets during their life cycle , 3h, Learning outcomes:6
8.II colloquium , 1h, Learning outcomes:4,5,6
9.No lessons
10.No lessons
11.No lessons
12.No lessons
13.No lessons
14.No lessons
15.No lessons
| | Course content seminars | 1.No activities, 2h
2.No activities, 2h
3.No activities, 2h
4.No activities, 2h
5.No activities, 2h
6.No activities, 2h
7.No activities, 2h
8.No activities, 2h
9.No activities, 2h
10.No activities, 2h
11.No activities, 2h
12.No activities, 2h
13.No activities, 2h
14.No activities, 2h
15.Seminar activities, 2h, Learning outcomes:1,2,3,4,5,6
| | Required materials | Basic: classroom, blackboard, chalk...
General purpose computer laboratory
Overhead projector
| | Exam literature | Obavezna literatura:
1. prof. dr.sc. Ivo Čala i ostali: Održavanje i gospodarenje imovinom, Hrvatsko društvo održavatelja, Zagreb, 2016.
2. dr.sc. Mladen Mauher i mr.sc. Sanja Bračun: Aktualne elektroničke mape nastavnika pripremljene za predavanja dostupne na LMS sustavu
Preporučena literatura:
1. S. Duffuaa; A Raouf, Cham: e-book „Planning and control of maintenance systems: modelling and analysis", Springer, 2015.
2. John Woodhouse: ISO 55000: Asset management – What to do and why? 2014.
3. David G Cotts; Kathy O Roper; Richard P Payant, Chichester: e-book „International facility management“, West Sussex, United Kingdom, 2014.
4. Constantin May; Peter Schimek, Ansbach: „Total productive management: fundamentals and introduction to TPM - or how to achieve operational excellence", CETPM Publ. 2014.
5. David G Cotts; Kathy O Roper; Richard P Payant: e-book „The facility management handbook“, New York: American Management Association, 2010.
6. D. J. VANIER, Asset management: "A to Z", Institute for Research in Construction, National Research Council Canada, 1200 Montreal Road, Ottawa, 2001.
| | Students obligations | 70% of attendance on lessons and exercises | | Knowledge evaluation during semester | 1st and 2nd colloquium | | Knowledge evaluation after semester | Oral Exam (in case of non-fulfilment of 1st and 2nd colloquium conditions) | | Student activities: | | Aktivnost | ECTS | | (Written exam) | 2 | | (Oral exam) | 2 | | (Activity in class) | 2 |
| | Remark | This course can be used for final thesis theme | |
| + | P:1.dr. sc. Reni Banov v. pred.
P:2. Davor Šterc
P:3. Goran Sirovatka dipl. ing., viši predavač
A: Goran Sirovatka dipl. ing., viši predavač
A: Davor Šterc | Linear Algebra | 30+30 (30+0+0+0) (120) | 6 | 205423 | NO |
| Code WEB/ISVU
| 29729/205423
| ECTS
| 6
| Academic year
| 2023/2024
|
| Name
| Linear Algebra
|
| Status
| 1st semester - Graduate Professional Study in Mechanical Engineering (Redovni diplomski strojarstvo) - obligatory course
|
| Department
|
|
| Teaching mode
| Lectures + exercises (auditory + laboratory + seminar + metodology + construction)
work at home
| 30+30 (30+0+0+0)
120
|
| Teachers
| Lectures:1. dr. sc. Reni Banov v. pred.
Lectures:2. Davor Šterc
Lectures:3. Goran Sirovatka dipl. ing., viši predavač
Auditory exercises: Goran Sirovatka dipl. ing., viši predavač
Auditory exercises: Davor Šterc
|
| Course objectives
| Develop students ability to apply basic equations of linear algebra to engineering tasks that await them in future professional life.
| | Learning outcomes: | 1.Integrate geometry of linear equation systems. Level:6,7
2.generate transposition, permutation and vector space. Level:6,7
3.solve the problem of homogeneous and inhomogeneous systems. Level:7
4.integrate space matrix, rank; orthogonal vectors and subspaces. Level:6,7
5.Link differential equations and exponential matrix functions; Markov matrix, Fourier order. Level:6,7
6.calculate multiplication of matrices and inverse matrices. Level:6
| | Methods of carrying out lectures | Ex cathedra teaching
Discussion
Questions and answers
Seminar, students presentation and discussion
| | Methods of carrying out auditory exercises | Group problem solving
Discussion, brainstorming
Interactive problem solving
| | Course content lectures | 1. Geometry of linear equation systems; eliminating unknowns using a matrix, 2h, Learning outcomes:1
2.Multiplication of matrices and inverse matrices; matrix separation on a multicolored triangular matrix, 2h, Learning outcomes:6
3.Transposition, permutations and vector spaces: column space and zero-space, 2h, Learning outcomes:6
4.Solving a homogeneous system, pivotal notions, special solutions; solving a non-homogeneous system, 2h, Learning outcomes:3
5.Independence of base and dimension. Four basic subsurface, 2h, Learning outcomes:3
6.Matrix spaces, rank; orthogonal vectors and subspaces, 2h, Learning outcomes:4
7.Projection matrix and small squares, 2h, Learning outcomes:4
8.Orthogonal matrix and Gram-Schmidt method; properties of determinants, 2h, Learning outcomes:4
9.Formulas for determinants and cofactors; Cramer rule, inverse matrix and volume, 2h, Learning outcomes:4
10.Own Values and Own Vectors; diagonalization and potency of the matrix, 2h, Learning outcomes:4
11.Differential equations and exponential matrix function; Markov matrix, Fourier order, 2h, Learning outcomes:5
12.Symmetric matrices and positive definitions; complex matrices, discrete and fast Fourier transformations, 2h, Learning outcomes:5
13.Positively definite matrices and search for minimum, similar matrices and Jordanian form, 2h, Learning outcomes:5
14.Separation of singular values; linear transformations and their matrices, 2h, Learning outcomes:5
15.Changing the base, pseudoinverted; norm and condition of the matrix, iterative procedures, 2h, Learning outcomes:5
| | Course content auditory | 1.Geometry of linear equation systems; eliminating unknowns using a matrix, 2h, Learning outcomes:1
2.Multiplication of matrices and inverse matrices; matrix separation on a multicolored triangular matrix, 2h, Learning outcomes:6
3.Transposition, permutations and vector spaces: column space and zero space, 2h, Learning outcomes:2,6
4.Solving a homogeneous system, pivotal notions, special solutions; solving a non-homogeneous system, sequencing, 2h, Learning outcomes:2
5.Independence, base and dimension. Four basic subsurface, 2h, Learning outcomes:2
6.Matrix spaces, rank; orthogonal vectors and subspaces, 2h, Learning outcomes:2
7.Projection matrix and small squares, 2h, Learning outcomes:3
8.Orthogonal matrix and Gram-Schmidt method; properties of determinants, 2h, Learning outcomes:3
9.Formulas for determinants and cofactors; Cramer rule, inverse matrix and volume, 2h, Learning outcomes:3
10.Own Values and Own Vectors; diagonalization and potency of the matrix, 2h, Learning outcomes:4
11.Differential equations and exponential matrix function; Markov matrix, Fourier order, 2h, Learning outcomes:4
12.Symmetric matrices ipozitivna definicija; complex matrices, discrete and fast Fourier transformations, 2h, Learning outcomes:4,5
13.Positively definite matrices and search for minimum, similar matrices and Jordanian form, 2h, Learning outcomes:4,5
14.Separation of singular values; linear transformations and their matrices, 2h, Learning outcomes:5
15.Changing the base, pseudoinverted; norm and condition of the matrix, iterative procedures, 2h, Learning outcomes:5
| | Required materials | Basic: classroom, blackboard, chalk...
Whiteboard with markers
Overhead projector
| | Exam literature | 1.Davor Butković ,Predavanja iz linearne algebre,,978-953-6931-31-6,2008
2.D.Bakić,Linearna algebra, Školska knjiga,,2008
3.Pablo Fernandez Gallardo , Google's secret and Linear Algebra,EMS Newsletter ,,2007
4.Gilbert Strang , Wavelets,American Scientist. Vol. 82.,,1994
5.Davor Butković ,Kompleksni konačnodimenzionalni vektorski prostori,,978-953-6931-28-6,2007
| | Students obligations | Attendance with the permitted number of absences according to the Rulebook on Studying. Solving tasks at auditory and seminar exercises. | | Knowledge evaluation during semester | 1st Colloquium
2nd Colloquium
seminar work | | Knowledge evaluation after semester | written exam
seminar work | | Student activities: | | Aktivnost | ECTS | | (Classes attendance) | 1 | | (Seminar Work) | 1 | | (Written exam) | 1 | | (Research) | 1 | | (Constantly tested knowledge) | 2 |
| | Remark | This course can not be used for final thesis theme | | Proposal made by | Goran Sirovatka , 23.10.2018 | |
| + | P:1.dr.sc. Vlatko Mićković prof.
A:dr.sc. Vlatko Mićković prof. | Numerical and stochastic mathematics | 30+30 (30+0+0+0) (120) | 6 | 205424 | NO |
| Code WEB/ISVU
| 29730/205424
| ECTS
| 6
| Academic year
| 2023/2024
|
| Name
| Numerical and stochastic mathematics
|
| Status
| 1st semester - Graduate Professional Study in Mechanical Engineering (Redovni diplomski strojarstvo) - obligatory course
|
| Department
|
|
| Teaching mode
| Lectures + exercises (auditory + laboratory + seminar + metodology + construction)
work at home
| 30+30 (30+0+0+0)
120
|
| Teachers
| Lectures:1. dr.sc. Vlatko Mićković prof.
Auditory exercises:dr.sc. Vlatko Mićković prof.
|
| Course objectives
| Provide students with insights into the patterns and systematics that lie in the background of engineering mathematical methods by reviewing a number of notable examples and problems and to learn and master the effective procedures for calculating their solutions.
| | Learning outcomes: | 1.integrate methods of solving linear equation systems. Level:6,7
2.calculate your own values, vectors and dynamic systems. Level:6
3.Generate differential equation equations in one dimension. Level:6,7
4.justify numerical procedures for linear and nonlinear equations. Level:7
5.number theory-integration of mathematical induction and combinatorics. Level:6,7
6.link final stochastic processes with problematic tasks. Level:6,7
7.use inductive statistics in processes. Level:6
| | Methods of carrying out lectures | Ex cathedra teaching
Guest lecturer
Modelling
Questions and answers
Seminar, students presentation and discussion
| | Methods of carrying out auditory exercises | Group problem solving
Discussion, brainstorming
| | Course content lectures | 1.Framework for application of matrix equations. Limits and Lagrange Multipliers, 2h, Learning outcomes:1
2.Minimal squares estimation, 2h, Learning outcomes:1
3.Differential Balance Equations in One Dimension. Laplace equation and potential flow, 2h, Learning outcomes:2
4.Vector differential and integral calculus in three dimensions, 2h, Learning outcomes:2
5.Fourier order and orthogonal development. Discrete Fourier Rows of Convolutions. Fourier integral, 2h, Learning outcomes:3
6.Numerical procedures for linear and nonlinear equations. Semi direct and iterative methods, 2h, Learning outcomes:3
7.Mathematical induction and finishing methods, combinatoric, 2h, Learning outcomes:3
8.Modeling recursive relationships and modeling theory, 2h, Learning outcomes:4
9.Probability with finite event space models, 2h, Learning outcomes:4
10.Conditional probability, stochastic independence, boundary theorems, 2h, Learning outcomes:4,6
11.Final stochastic processes, 2h, Learning outcomes:5,6
12.Markov chains, 2h, Learning outcomes:5,6
13.Sigma Algebra, Axiom Kolmogorova, 2h, Learning outcomes:6
14.Inductive statistics, 2h, Learning outcomes:7
15.Inductive statistics, 2h, Learning outcomes:7
| | Course content auditory | 1.Vector differential and integral calculus in three dimensions, 2h, Learning outcomes:1
2.Fourier order and orthogonal development. Discrete Fourier Rows of Convolutions. Fourier integral, 2h, Learning outcomes:1
3.Numerical procedures for linear and nonlinear equations. Neutral and iterative methods, 2h, Learning outcomes:2
4.Mathematical induction and finishing methods, combinatorics, 2h, Learning outcomes:2,5
5.Modeling recursive relationships and modeling theory, 2h, Learning outcomes:3
6.Probability with finite event space models, 2h, Learning outcomes:3
7.Conditional probability, stochastic independence, boundary theorems, 2h, Learning outcomes:4
8.Final stochastic processes, 2h, Learning outcomes:6
9.Markov chains, 2h, Learning outcomes:4
10.Sigma Algebra, Axiom Kolmogorova, 2h, Learning outcomes:5,6
11.Inductive statistics, 2h, Learning outcomes:7
12.Inductive statistics, 2h, Learning outcomes:7
13.Framework for application of matrix equations. Limits and Lagrange Multipliers, 2h, Learning outcomes:1,2
14.Minimal squares estimation, 2h, Learning outcomes:1
15.Differential Balance Equations in One Dimension. Laplace equation and potential flow, 2h, Learning outcomes:3
| | Required materials | Basic: classroom, blackboard, chalk...
Whiteboard with markers
Overhead projector
| | Exam literature | 1.Davor Butković ,Predavanja iz linearne algebre, 978-953-6931-31-6,2008
2.Ivan Ivanšić,Fourierovi redovi. Diferencijalne jednadžbe, 953-6032-29-5,2000
3.Davor Butković ,Kompleksni konačnodimenzionalni vektorski prostori, 978-953-6931-28-6, 2007
4.Ivan Ivanšić,Funkcije kompleksne varijable. Laplaceova transformacija.,Liber, 1987
5.Ivan Ivanšić,Numerička matematika, 953-197-526-4, 2002
6.Rudolf Scitovski,Numerička matematika, 953-6032-24-4, 2004
| | Students obligations | Attendance with the permitted number of absences according to the Rulebook on Studying | | Knowledge evaluation during semester | 1st Colloquium
2nd Colloquium
seminar work | | Knowledge evaluation after semester | written exam
seminar work | | Student activities: | | Aktivnost | ECTS | | (Classes attendance) | 1 | | (Written exam) | 1 | | (Research) | 1 | | (Activity in class) | 1 | | (Constantly tested knowledge) | 2 |
| | Remark | This course can be used for final thesis theme | | Proposal made by | Vlatko Mićković , 23.10.2018 | |
| + | P:1. Vesna Alić-Kostešić dipl.ing.stroj.
P:2. Hrvoje Rakić , dipl.ing.stroj., v. pred.
A: Vesna Alić-Kostešić dipl.ing.stroj.
A: Hrvoje Rakić , dipl.ing.stroj., v. pred.
S: Vesna Alić-Kostešić dipl.ing.stroj.
S: Hrvoje Rakić , dipl.ing.stroj., v. pred. | Project Management and Planning | 30+30 (20+0+10+0) (120) | 6 | 205425 | NO |
| Code WEB/ISVU
| 29731/205425
| ECTS
| 6
| Academic year
| 2023/2024
|
| Name
| Project Management and Planning
|
| Status
| 1st semester - Graduate Professional Study in Mechanical Engineering (Redovni diplomski strojarstvo) - obligatory course
|
| Department
|
|
| Teaching mode
| Lectures + exercises (auditory + laboratory + seminar + metodology + construction)
work at home
| 30+30 (20+0+10+0)
120
|
| Teachers
| Lectures:1. Vesna Alić-Kostešić dipl.ing.stroj.
Lectures:2. Hrvoje Rakić , dipl.ing.stroj., v. pred.
Auditory exercises: Vesna Alić-Kostešić dipl.ing.stroj.
Auditory exercises: Hrvoje Rakić , dipl.ing.stroj., v. pred.
Seminar exercises: Vesna Alić-Kostešić dipl.ing.stroj.
Seminar exercises: Hrvoje Rakić , dipl.ing.stroj., v. pred.
|
| Course objectives
| To introduce students to basic elements of management in the project based activities such as business, manufacturing and various services
| | Learning outcomes: | 1.ability to formulate /create the project goal in accordance with the strategy of an organization. Level:6,7
2.ability to formulate/to design a project according to a strategy of an organisation. Level:
3.ability to compose a proposal of a project and a project plan in a seminar paper. Level:6,7
4.ability to control processes in a project, its scope, time, costs, quality, people, communication, risks and project procurement . Level:6,7
5.ability to estimate the project risks on a project proposal. Level:6,7
6.ability to analyse the project phases and activities the results of which contribute to the project goal. Level:6
7.ability to standardise the time and resources necessary for carrying out activities by using techniques of network planning. Level:6,7
8.abilityto plan the expenses related to carrying out the project activities. Level:6,7
9.ability to analyse a project proposal through a logical matrix. Level:6
10.ability to develop willingness for teamwork and cooperation. Level:6,7
11.ability to combine methods and procedures for making decisions. Level:6,7
12.ability to state the influence of a project product on the environment. Level:7
| | Methods of carrying out lectures | Ex cathedra teaching
Case studies
Demonstration
Discussion
The whole material is presented in lectures illustrated by drawings, tables and graphs to facilitate understanding of the topic. It can be presented on OHP or in Power Point. | | Methods of carrying out auditory exercises | Group problem solving
Discussion, brainstorming
Interactive problem solving
Workshop
Problems of each particular topic analysed are solved on the blackboard. After explaining and solving a problem of a topic, students are given a related one to solve it on their own but with assistance of the teacher. Using the BK technique and with assistance of their teacher, students create a smaller project. | | Methods of carrying out seminars | Group problem solving
Discussion, brainstorming
Workshop
posters, markers, adhesive tape | | Course content lectures | 1.The nature and context of project management processes and knowledge areas, 2h, Learning outcomes:1
2.Strategy and project management, 4h, Learning outcomes:1
3.Project management and stakeholders, 2h, Learning outcomes:2
4.Appropriate project organizational structure, 2h, Learning outcomes:2
5.The initial phase of the project, 2h, Learning outcomes:3
6.Initiating and Planning Project, 3h, Learning outcomes:4
7.Preparation of project proposal, 3h, Learning outcomes:4,5,7,10
8.Planning techniques, 4h, Learning outcomes:6,7,8
9.Implementation phase of the project, 4h, Learning outcomes:7,8,9,10
10.Concluding phase and evaluation of the project, 2h, Learning outcomes:7,8,10,11,12
11.Colloquium, 2h, Learning outcomes:1,2,3,4,5,6,8,9,10,11,12
12.no classes
13.no classes
14.no classes
15.no classes
| | Course content auditory | 1.no classes
2.no classes
3.no classes
4.no classes
5.no classes
6.no classes
7.no classes
8.exercise TMP, CPM, 4h, Learning outcomes:7
9.exercise TMP, PERTH,PD, 4h, Learning outcomes:7
10.Colloqium, 2h, Learning outcomes:7
11.no classes
12.no classes
13.no classes
14.methods of decision-making, 2h, Learning outcomes:5,6,7,9
15.methods of project cycle - logical framework, 3h, Learning outcomes:5,6,7,9,10,11,12
| | Course content seminars | 1.no classes
2.no classes
3.no classes
4. no classes
5. no classes
6. methods for problem solving, Brainstorming, making the problem tree and objective tree, elaboration of project ideas, 4h, Learning outcomes:9,10,11,12
7.working on the papers, 1h, Learning outcomes:9,10,11,12
8.working on the papers, 1h, Learning outcomes:9,12
9.working on the papers, 1h, Learning outcomes:9,10,11,12
10.working on the papers, 1h, Learning outcomes:9,10,11,12
11.working on the papers, 1h, Learning outcomes:9,10,11,12
12.working on the papers, 1h, Learning outcomes:9,10,11,12
13.working on the papers, 1h, Learning outcomes:9,10,11,12
14.working on the papers, 1h, Learning outcomes:9,10,11,12
15.papers due, 3h, Learning outcomes:9,11,12
| | Required materials | Basic: classroom, blackboard, chalk...
Whiteboard with markers
Overhead projector
Operating supplies
posters, markers, adhesive tape | | Exam literature | PMI- Vodič kroz znanje o upravljanju projektima (Vodič kroz PMBOK,4. izdanje), Mate d.o.o., Zagreb 2011.
nikolić, Čala, alić Kostešić: Metode planiranje u proizvodnji odjeće, ZS 2010.
Čala,I; i ostali autori: Inženjerski priručnik, dio 4, poglavlja 6. Planiranje i praćenje proizvodnje, Školska knjiga, Zagreb, 2002.
Vila, A; Štajdl, B; Čala, I; Karabajić, I: Metode planiranja proizvodnje, Informator, Zagreb, 1982.
Vila, A; Leicher, Z: Planiranje proizvodnje i kontrola rokova, Informator, 3. izdanje, Zagreb 1983.
Schroeder, Roger,G: Upravljanje proizvodnjom, Mate, Zagreb, 1999.
Bilješke koje nastavnik priprema za nastavu
Čala, I: «Stupnjevito planiranje», izlaganje na savjetovanju «Upravljanje proizvodnjom», CDI Zagreb, Briuni, 1989.
Dilworth,J.B.: Operations Management, Mc Grow Hill, inc., New York, 1995.
Schonberger,R.J., Knod, M.E.: Operations Management, Irwin, 1994.
Majstorović, V.: «Upravljanje Proizvodnjom i projektima» (Production and Project Management), Nakladnici Sveučilište u Mostaru i DAAAM International Vienna, Mostar-Wien 2001. | | Students obligations | delivery of a seminar paper | | Knowledge evaluation during semester | 1.colloquim - tasks numerical type max 50 points - 30 min
2.colloquim - objective type tasks maximum 50 points - 30 min
3.seminar work max 50 points - 30 min
max total 150 points - 90 min
Points rating
0-89 inadequate
90-105 sufficient
106-120 good
121-135 very good
136-150 excellent | | Knowledge evaluation after semester | written exam, seminar paper
Points rating
0-89 inadequate
90-105 sufficient
106-120 good
121-135 very good
136-150 excellent | | Student activities: | | Aktivnost | ECTS | | (Constantly tested knowledge) | 1 | | (Seminar Work) | 2 | | (Written exam) | 2 | | (Practical work) | 1 |
| | Remark | This course can be used for final thesis theme | | Proposal made by | Vesna Alic Kostesic | |
| + | P:1.mr.sc. Ante Zaninović dipl.ing.brod.
A:mr.sc. Ante Zaninović dipl.ing.brod. | Quality management | 30+30 (30+0+0+0) (120) | 6 | 205426 | NO |
| Code WEB/ISVU
| 29732/205426
| ECTS
| 6
| Academic year
| 2023/2024
|
| Name
| Quality management
|
| Status
| 1st semester - Graduate Professional Study in Mechanical Engineering (Redovni diplomski strojarstvo) - obligatory course
|
| Department
|
|
| Teaching mode
| Lectures + exercises (auditory + laboratory + seminar + metodology + construction)
work at home
| 30+30 (30+0+0+0)
120
|
| Teachers
| Lectures:1. mr.sc. Ante Zaninović dipl.ing.brod.
Auditory exercises:mr.sc. Ante Zaninović dipl.ing.brod.
|
| Course objectives
| students will acquire basic knowledge of quality management
| | Learning outcomes: | 1.ability to assess compliance with the rules and standards regulating the quality of a product or service. Level:7
2.ability to choose appropriate tools for solving the quality nonconformities of process, product or service. Level:7
3.ability to measure a degree of the process stability and process variability. Level:7
4.ability to write a report on corrective and preventive measures to the purchaser or the mangement . Level:6,7
5.ability to build the quality system on selected model of production or institution. Level:6,7
6.ability to suggest activities to improve the existing processes in the organization, enhance efficiency and reduce costs. Level:6,7
7.ability to manage the quality system of the selected model of organization or institution. Level:6,7
| | Methods of carrying out lectures | Ex cathedra teaching
Guest lecturer
Case studies
Discussion
Seminar, students presentation and discussion
Other
Material is delivered with maximum use of drawings, tables and diagrams to facilitate understanding, but also provides the concrete examples through photographs and finished materials introduction of standards in specific companies. The process of introducing a system of quality management are drawn, etc, and constantly questions the students so that they can more actively participate in the teaching. | | Methods of carrying out auditory exercises | Group problem solving
Discussion, brainstorming
Workshop
Other
problems are solved with students | | Course content lectures | 1.Introduction to the course, assessment of general concepts and definitions of quality, 4h, Learning outcomes:1,2,3,4,5,6,7
2.Systems standards, introduction to ISO 9001 Requirements for Management System, 4h, Learning outcomes:1,2,3,4,5,6,7
3.Collecting and displaying data, FMEA analysis, 3h, Learning outcomes:1,2,3,4,5,6,7
4.Process control and statistics, 3h, Learning outcomes:1,2,3,4,5,6,7
5.Repetition of topics S1-S4, 1h, Learning outcomes:1,2,3,4,5,6,7
6.Quality control of the process, SWOT analysis, 5S, 4h, Learning outcomes:1,2,3,4,5,6,7
7.Method six sigma, 3h, Learning outcomes:1,2,3,4,5,6,7
8.Product design, engineering, 3h, Learning outcomes:1,2,3,4,5,6,7
9.Method eight disciplines, 1h, Learning outcomes:1,2,3,4,5,6,7
10.Quality in procurement, 3h, Learning outcomes:1,2,3,4,5,6,7
11.Repetition of topics S5-S9, 1h, Learning outcomes:1,2,3,4,5,6,7
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| | Course content auditory | 1.Process development and manufacturing, FMEA analysis, 2h, Learning outcomes:1,2,3,4,5,6,7
2.Xsr R-map, the analysis of the production process, 2h, Learning outcomes:1,2,3,4,5,6,7
3.Key Performance Indicators, 2h, Learning outcomes:1,2,3,4,5,6,7
4.quality plans, 2h, Learning outcomes:1,2,3,4,5,6,7
5.8D method, internal audits, 2h, Learning outcomes:1,2,3,4,5,6,7
6.Presentation of seminar papers, 2h, Learning outcomes:1,2,3,4,5,6,7
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| | Required materials | Basic: classroom, blackboard, chalk...
Whiteboard with markers
Overhead projector
| | Exam literature | Bilješke koje nastavnik priprema za nastavu
J.M.Juran, Quality Control Handbook, McGraw-Hill, New York, 1989.
Juran, Joseph Moses; Frank M. Gryna. 1993, 1999, Planiranje i analiza kvalitete. MATE d.o.o. Zagreb
E.L.Grant, R.S.Leavenworth, Statistical Quality Control, McGraw-Hill, New York, 1988.
Lazibat, Tonči, 2009, Upravljanje kvalitetom, Znanstv. knjiga, Zagreb.
Oslić, Ivica, 2008, Kvaliteta i poslovna izvrsnost, MEP Consult, Zagreb
Štajdohar-Pađen, Olga, 2009, Plivati s ISO-m i ostati živ, Kigen, Zagreb | | Students obligations | 80% of class attendance | | Knowledge evaluation during semester | Paper tests #2#100#50$ | | Knowledge evaluation after semester | • written and oral exam
| | Student activities: | | Aktivnost | ECTS | | (Written exam) | 4 | | (Oral exam) | 1 | | (Classes attendance) | 1 |
| | Remark | This course can be used for final thesis theme | | Proposal made by | dr.sc. Ljubivoj Cvitaš dipl.ing., 1.6.2015 | |