Mechatronics Engineering (English)
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

General course introduction information

Course Code:

IE426

Course Name:

Productivity Management

Course Semester:

Fall

Course Credits:

Theoretical	Practical	Credit	ECTS
3	0	3	6

Language of instruction:

Course Requisites:

Does the Course Require Work Experience?:

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 MEHMET TEVFİK ÇOBANOĞLU

Course Lecturer(s):

Dr.Öğr.Üyesi MEHMET TEVFİK ÇOBANOĞLU
Dr.Öğr.Üyesi GÜNSELİ GÖRÜR
Öğr.Gör. ÖMER FAİK UĞUR
Dr.Öğr.Üyesi PARMİS SHAH MALEKI

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, TQM
14)	6-sigma, Lean Manufacturing, Just In Time, TQM
15)	Presentations of assignments
16)	Final

Sources

Course Notes / Textbooks:	Krajewski, L.J., Ritzman, L.P., Malhotra, M.K. (2013). Operations management processes and supply chain, Pearson, Prentice Hall. Sumanth, D. J.. (1998). Total Productivity Management, CRC Press LLC, New York. Sumanth, D. J.. (1985). Productivity Engineering and Management, McGraw Hill, New York.
References:	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) Sufficient knowledge in mathematics, science and engineering related to their branches; and the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems.
2) The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose.
3) The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.)
4) Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.
5) Ability to design experiments, conduct experiments, collect data, analyze and interpret results to examine engineering problems or discipline-specific research topics.
6) The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.
7) Effective communication skills in Turkish oral and written communication; at least one foreign language knowledge; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8) Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.
9) Conform to ethical principles, and standards of professional and ethical responsibility; be informed about the standards used in engineering applications.
10) Awareness of applications in business, such as project management, risk management and change management; awareness of entrepreneurship, and innovation; information about sustainable development.
11) Information about the universal and social health, environmental and safety effects of engineering applications and the ways in which contemporary problems are reflected in the engineering field; awareness of the legal consequences of engineering solutions.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	Sufficient knowledge in mathematics, science and engineering related to their branches; and the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems.
2)	The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose.
3)	The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.)
4)	Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.
5)	Ability to design experiments, conduct experiments, collect data, analyze and interpret results to examine engineering problems or discipline-specific research topics.
6)	The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.
7)	Effective communication skills in Turkish oral and written communication; at least one foreign language knowledge; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8)	Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.
9)	Conform to ethical principles, and standards of professional and ethical responsibility; be informed about the standards used in engineering applications.
10)	Awareness of applications in business, such as project management, risk management and change management; awareness of entrepreneurship, and innovation; information about sustainable development.
11)	Information about the universal and social health, environmental and safety effects of engineering applications and the ways in which contemporary problems are reflected in the engineering field; awareness of the legal consequences of engineering solutions.

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
Attendance	16	% 10
Quizzes	2	% 20
Final	1	% 70
total		% 100
PERCENTAGE OF SEMESTER WORK		% 30
PERCENTAGE OF FINAL WORK		% 70
total		% 100

Workload and ECTS Credit Grading

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	3	42
Study Hours Out of Class	10	10	100
Project	1	10	10
Midterms	1	2	2
Final	1	2	2
Total Workload			156