Faculty of Technical Sciences

Subject: Theory of Constraints (17.IM2319)

Native organizations units: Chair of Production Systems, Organization and Management
General information:
 
Category Professional-applicative
Scientific or art field Proizvodni i uslužni sistemi, organizacija i menadžment
ECTS 4

Objective of the couse is to develop ability to (1) enable students to identify KPIs on the project, (2) knowledge integration about project in order to decide about project launching, (3) understanding of value analysis and earned value management, (4) learning about establishing and tracking dashboard and evaluating techniques. The goal of the course is improvement and connection of project management style with deliverables.

Students who complete this course successfully will be able to (1) define key indicators for project performance, (2) participate in bottleneck finding in project delivery and solution design, (3) establish matrix for project evaluation and use different techniques for analysis and project evaluation and (4) make decisions about project initiation concerning program issues and budget.

Introduction to Project Evaluation. Project Success Criteria. KPI. Review and project analysis. Causes and early project failure. Project evaluating with matrix performance indicators. Categories and matrix types. Indicators of results and performances. Selection of indicators and evaluation matrix. Usage and characteristics of key indicators of project performances. Project and value management. Value measurement, EVA analysis. Matrix design. Dashboards. Value management techniques for project and process. Evaluating of structural projects.

Lectures are auditory with theoretical treatment of the required number of case studies of project evaluating. Practice include team work on project evaluation and project simulations. Practices are delivered in computer classroom.

Authors Title Year Publisher Language
Kerzner H. Project Management Metrics, KPIs, and Dashboards 2011 IIL English
Kerzner, H. Advanced Project Management: Best Practices on Implementation 2004 John Wiley & Sons, New Jersey English
Course activity Pre-examination Obligations Number of points
Oral part of the exam No Yes 70.00
Term paper Yes Yes 20.00
Lecture attendance Yes Yes 5.00
Computer exercise attendance Yes Yes 5.00
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Assoc. Prof. Gračanin Danijela

Associate Professor

Lectures

Assistant - Master Janković Žugić Anja

Assistant - Master

Computational classes
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Asst. Prof. Medić Nenad

Assistant Professor

Computational classes

Faculty of Technical Sciences

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