Faculty of Technical Sciences

Subject: Measurement of work processes performances (17.I901)

General information:
 
Category Professional-applicative
Scientific or art field Proizvodni i uslužni sistemi, organizacija i menadžment
ECTS 5

The subject is studied in order to acquire knowledge, skills and ability to research, analyze and improve the characteristics - performances of the work process of the company, assess the degree of effectiveness of process performance and comparison with similar processes in enterprises.

Students gain knowledge, skills and abilities to apply the methods and techniques of analysis and improvement of process performance in the company or competence to conduct the business processes in all companies.

The performance of the manufacturing process, methods of performance analysis of production functions. BSC (Balanced Scorecard) performance analysis model. Defining and determining key performance indicators production functions - KPI (Key Performance Indicators).

Teaching in the case include: Lectures with practical examples of performance analysis of production functions, computational exercises in which specific tasks are developed and produced an essay that students work independently - performance analysis tool manufacturing company in particular. The case project is done in exercises and extra-curricular time.

Authors Title Year Publisher Language
Kaplan, R., Norton, D. The Strategy-Focused Organization: How Balanced Scorecard Companies Thrive in the New Business Environment 2001 Harvard Business School Press, Boston English
Olve, N.G., Roy, J., Wetter, M. Performances drivers: A practical guide to using the BSC 2001 John Wiley&Sons INC. New York English
Course activity Pre-examination Obligations Number of points
Exercise attendance Yes Yes 5.00
Lecture attendance Yes Yes 5.00
Written part of the exam - tasks and theory No Yes 50.00
Project Yes Yes 40.00
API Image

Assoc. Prof. Tasić Nemanja

Associate Professor

Lectures
API Image

Asst. Prof. Medić Nenad

Assistant Professor

Lectures
API Image

Assoc. Prof. Tasić Nemanja

Associate Professor

Computational classes
API Image

Asst. Prof. Medić Nenad

Assistant Professor

Computational classes

Faculty of Technical Sciences

© 2024. Faculty of Technical Sciences.

Contact:

Address: Trg Dositeja Obradovića 6, 21102 Novi Sad

Phone:  (+381) 21 450 810
(+381) 21 6350 413

Fax : (+381) 21 458 133
Emejl: ftndean@uns.ac.rs

© 2024. Faculty of Technical Sciences.