ID: 0523
Course type: theoretical and methodological
Course coordinator: Misita Ž. Mirjana
Lecturers: Misita Ž. Mirjana
Contact: Misita Ž. Mirjana
Level of studies: M.Sc. (graduate) Academic Studies – Mechanical Engineering
ECTS: 6
Final exam type: written
Department: Department of Industrial Engineering
The aim of this course is to introduce students to contemporary theoretical and practical aspects of management information systems. Students need to acquire practical knowledge and skills that will enable them to enhance the quality of decisions in the field of industrial engineering, by using the contemporary software tools. Decision support systems and expert systems.
Upon successful completion of this course, students should be able to: - Use software tools for decision support, - Design models for decision-making process in DSS tools, - Using expert systems in the field of industrial engineering, - Projected base of knowledge in expert systems, - Estimates of efficiency designed models in the specific case study.
The term of Management information system (MIS). Decision-making process. Methods and techniques used in decision-making by managers. New IT and Web applications in functional areas. Executive information systems. Decision support systems. Knowledge management. Intelligent support systems. Expert systems. Other intelligent systems. Hybrid systems. Contemporary software in management.
Task 1. By using software tools - decision support systems it is necessary to design models, generate a hierarchy of criteria and alternatives by introducing of qualitative and quantitative scales, introducing uncertainty, or by using functions to describe real problems in manufacturing practices. Conduct ranking according to the AHP or SMART methods. Sensitivity Analysis. Presentation of project assignment. Task 2. By using an expert system shell it is necessary to design a knowledge base for the real engineering problem, link the production rules. Test the expert system. Presentation of project assignment. Task 3. Connect the two previous project tasks and form a hybrid system. Presentation of project assignment.
Enrolled 1st semester of the Master study.
1. Handouts, 2. Computer classroom, 3. Software packages: decision support system and expert system.
Total assigned hours: 75
New material: 26
Elaboration and examples (recapitulation): 4
Auditory exercises: 0
Laboratory exercises: 30
Calculation tasks: 0
Seminar paper: 0
Project: 0
Consultations: 0
Discussion/workshop: 0
Research study work: 0
Review and grading of calculation tasks: 0
Review and grading of lab reports: 0
Review and grading of seminar papers: 0
Review and grading of the project: 0
Test: 10
Test: 0
Final exam: 5
Activity during lectures: 0
Test/test: 30
Laboratory practice: 30
Calculation tasks: 0
Seminar paper: 0
Project: 0
Final exam: 40
Requirement for taking the exam (required number of points): 10
Milanovic D. Dragan, Misita Mirjana, Information systems for management and decision making, Faculty of Mechanical Engineering, Belgrade, 2008; Turban E., Aronson J., Decision Support and Business Intelligence Systems, Pearson International Edition, 9th edition, 2010.