MODULE DESCRIPTION Module code Z-ZIP-477z Module name Doskonalenie jakości procesów produkcyjnych Module name in English Quality improvement of production processes Valid from academic year 2016/2017 A. MODULE PLACEMENT IN THE SYLLABUS Subject Level of education Studies profile Form and method of conducting Specialisation Unit conducting the Module co-ordinator Management and Production Engineering 1st degree (1st degree / 2nd degree) General (general / practical) Full-time (full-time / part-time) Mathematical Modelling for Production The Department of Applied Computer Science and Applied Mathematics Zdzisław Piasta, PhD Approved by: B. MODULE OVERVIEW Type of subject/group of subjects Module status Language of conducting Module placement in the syllabus - semester Subject realisation in the academic year Specialist subject (basic / major / specialist subject / conjoint / other HES) Compulsory (compulsory / non-compulsory) English 5th semester Winter semester (winter semester/ summer) Initial requirements Statistics ( codes / names) Examination Yes (yes / no) Number of ECTS credit points 2 Method of conducting Lecture Classes Laboratory Project Other Per semester 15 15
C. TEACHING RESULTS AND THE METHODS OF ASSESSING TEACHING RESULTS Module target The aim of the is to acquaint students with basic knowledge as regards improving the quality of production processes, drawing particular attention to correct understanding of practical aspects as well as the selection of appropriate tools which lead to achieving improvement. Effect symbol Teaching results Teaching methods (l/c/lab/p/other) to subject effects to effects of a field of study A student has knowledge as regards basic methods of improving the quality of production processes as well as their application. A student is able to describe the production process as well as select appropriate tools which lead to achieving improvement; a student also has the ability of using software enabling process control and their optimisation. A student is aware of the significance concerning continuous broadening his/her knowledge as regards improving the quality of production processes. l/lab l/lab K_W01 K_W14 K_U01 K_U08 T1A_W01 T1A_W04 T1A_W07 TA1_U01 TA1_U14 InzA_U06 l/lab K_K01 T1A_K01 : 1. as regards lectures Lecture 1 The methods of assessing and improving production organisation; a balanced scorecard. 2 The concept of the production process and its quality. Initial analysis of processes in production organisation. Basic quality improvement tools. 3 Improving production processes using the simplex algorithm and the Taguchi method. 4 The application of control charts in stage improvement of the quality of production processes. 5 Process optimisation using experiment planning methods and the response surface analysis. First- and second-order plans, estimating parameters of the assessed models, visualising determined relationships, and process statistical optimisation. 6 Process multi-criteria optimisation using the generalised utility function. 7 Questionnaires, interviews, observation, and experiment as techniques of gathering data about the market and customers. The methods of obtaining information serving the improvement concerning the quality of the processes of customer relations management.
2. as regards Class 3. as regards laboratory Laboratory class 1 A review of the software used in improving the quality of production processes. 2 The examples of applying basic quality improvement tools available in Excel. 3 The examples of applying basic quality improvement tools available in the SAS system. 4 Creating c-charts as well as a mean value and range. 5 The examples of process optimisation using response surface methodology. 6 Process multi-criteria optimisation using the utility function. 7 Computer techniques applied in quality improvement of the production support processes as well as managing customer relations. 4. The characteristics of project assignments The methods of assessing teaching results Effect symbol Methods of assessing teaching results (assessment method, including skills reference to a particular project, laboratory assignments, etc.) A discussion, a written examination. Homework assignment and reports. Observing a student s involvement during the.
D. STUDENT S INPUT ECTS credit points Type of student s activity Student s workload 1 Participation in lectures 15 2 Participation in 3 Participation in laboratories 15 4 Participation in tutorials (2-3 times per semester) 4 5 Participation in project 6 Project tutorials 7 Participation in an examination 2 8 9 Number of hours requiring a lecturer s assistance 36 (sum) 10 Number of ECTS credit points which are allocated for assisted work 1.2 11 Unassisted study of lecture subjects 8 12 Unassisted preparation for 13 Unassisted preparation for tests 14 Unassisted preparation for laboratories 8 15 Preparing reports 8 16 Preparing for a final laboratory test 17 Preparing a project or documentation 18 Preparing for an examination 19 20 Number of hours of a student s unassisted work 24 (sum) 21 Number of ECTS credit points which a student receives for unassisted work 22 Total of hours of a student s work 60 23 ECTS points per 1 ECTS point=25-30 hours 2 24 Work input connected with practical Total of hours connected with practical 36 25 Number of ECTS credit points which a student receives for practical 0.8 1.2 E. LITERATURE Literature list 1. Thompson J. R., Koronacki J., Nieckuła J., Techniki zarządzania jakością od Shewharta do metody Six Sigma, EXIT, Warszawa 2006. 2. Korzyński M., Metodyka eksperymentu, WN-T, Warszawa 2006 3. Miszczak W., Ostasiewicz W., Wawrzyniak J., Projektowanie próby z elementami planowania eksperymentów, Wydawnictwo UE, Wrocław 2008. 4. Latzko W. J., Saunders D. M., Cztery dni z dr. Demingiem - nowoczesna teoria zarządzania, WN-T, Warszawa 1998. 5. Thompson J. R., Koronacki J., Statystyczne sterowanie procesem - metoda Deminga etapowej optymalizacji jakości, Akademicka Oficyna Wydawnicza PLJ, Warszawa 1994. 6. Kaplan R. S., Norton D. P., Strategiczna karta wyników, PWN, Warszawa 2000.
Module website 7. Stanimir (red.), Analiza danych marketingowych: problemy, metody, przykłady, Wydawnictwo AE we Wrocławiu, Wrocław 2006. 8. Wheeler D. J., Poling S. R., Building Continual Improvement, SPC Press, Knoxville 1998. 9. Dahigaard J., Kristensen K., Kanji G. K., Podstawy zarządzania jakością. PWN, Warszawa 2002. 10. Hamrol, Mantura W., Zarządzanie jakością - teoria i praktyka. Wyd. Naukowe PWN. Warszawa 2002. 11. Myszewski J. M., Po prostu jakość podręcznik zarządzania jakością, Wydawnictwo WSPiZ, Warszawa 2005. 12. Karaszewski R., Nowoczesne koncepcje zarządzania jakością, Wydawnictwo Dom Organizatora, Toruń 2006. 13. Skrzypek E., Jakość i efektywność, Wydawnictwo UMCS, Lublin 2000.