END409 Productivity ManagementIstanbul Okan UniversityDegree Programs Energy Systems Engineering (English)General Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Energy Systems Engineering (English)
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

General course introduction information

Course Code: END409
Course Name: Productivity Management
Course Semester: Fall
Course Credits:
Theoretical Practical Credit ECTS
3 0 3 6
Language of instruction: TR
Course Requisites:
Does the Course Require Work Experience?: No
Type of course: Compulsory
Course Level:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator : Dr.Öğr.Üyesi İREM OTAY
Course Lecturer(s):
Course Assistants:

Course Objective and Content

Course Objectives: I. To educate engineers with regard to productivity and productivity improvement techniques,
II. To teach one of the commonly used performance evaluation techniques called Data Envelopment Analysis (DEA) and Balanced Score Card,
III. To study on the concepts and importance of Performance Management, Performance Evaluation Methods, Job expansion, Job rotation, Job enrichment, Time study, Metod Analysis,
IV. To give ability related to Benchmarking, Change Engineering, Delphi Technique,
V. To educate future engineers about 6-sigma, Lean Manufacturing, Just In Time, TQM.
Course Content: Production, Production Systems, Specifications of Production Systems , History of Production Management; Productivity Concepts (Efficiency, Effectiveness, Productivity), Productivity Improvement Techniques; Hoshin Kanri, PDCA model, Performance indicators, Balanced Score Card; Data Envelopment Analysis (DEA); Performance Management, Performance Evaluation Methods; Job expansion, Job rotation, Job enrichment, Work analysis, Time study, Metod Analysis; BEnchmarking; 6-sigma, Lean Manufacturing, Just In Time, TQM

Learning Outcomes

The students who have succeeded in this course;
Learning Outcomes
1 - Knowledge
Theoretical - Conceptual
1) To learn productivity and productivity improvement techniques,
2) To analyze Hoshin Kanri, PDCA model, Performance indicators, Balanced Score Card,
3) To get knowledge about the concepts and importance of Performance Management, Performance Evaluation Methods, Job expansion, Job rotation, Job enrichment, Time study, Metod Analysis,
4) To gain ability with regard to Benchmarking, Change Engineering and Delphi Technique,
5) To learn about 6-sigma, Lean Manufacturing, Just In Time, TQM.
2 - Skills
Cognitive - Practical
1) To learn how to apply one of the for performance evaluation techniques titled Data Envelopment Analysis (DEA),
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Lesson Plan

Week Subject Related Preparation
1) Production, Production Systems, Specifications of Production Systems , History of Production Management
2) Productivity Concepts (Efficiency, Effectiveness, Productivity…), Productivity Improvement Techniques
3) Productivity Improvement Techniques, Hoshin Kanri, PDCA model
4) Productivity Improvement Techniques, Hoshin Kanri, PDCA model
5) Performance indicators, Balanced Score Card
6) Data Envelopment Analysis (DEA)
7) Data Envelopment Analysis (DEA)
8) Performance Management, Performance Evaluation Methods
9) Midterm
10) Job expansion, Job rotation, Job enrichment, Time study, Metod Analysis
11) Spring Break
12) Benchmarking, Change Engineering, Delphi Technique
13) 6-sigma, Lean Manufacturing, Just In Time, DMAIC, TQM
14) 6-sigma, Lean Manufacturing, Just In Time, TQM
15) Presentations of assignments
16) Final

Sources

Course Notes / Textbooks: Üretim Yönetimi / Operations Management (Krajewski, L.J., Ritzman, L.P., Malhotra, M.K.), Ed: Birgün, S. (2014). Nobel Akademik Danışmanlık, 9. Basım.
References: Sumanth, D. J.. (1998). Total Productivity Management, CRC Press LLC, New York.

Sumanth, D. J.. (1985). Productivity Engineering and Management, McGraw Hill, New York.

Krajewski, L.J., Ritzman, L.P., Malhotra, M.K. (2013). Operations management processes and supply chain, Pearson, Prentice Hall.

Heizer, J., Render, B. (2011). Operations Management, 10th edition, Pearson.

Course-Program Learning Outcome Relationship

Learning Outcomes

1

2

4

5

6

3

Program Outcomes
1) Closed Department

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Closed Department

Learning Activity and Teaching Methods

Expression
Lesson
Group study and homework
Problem Solving

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Homework
Group project
Presentation

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
total %
PERCENTAGE OF SEMESTER WORK % 0
PERCENTAGE OF FINAL WORK %
total %