Industrial 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 PELİN ALCAN GEZGİNCİ

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 - Skills
Cognitive - Practical
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
Program Outcomes
1) Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied information in these areas to model and solve engineering problems.
2) Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modelling methods for this purpose.
3) Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way so as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues according to the nature of the design.)
4) Ability to devise, select, and use modern techniques and tools needed for engineering practice; ability to employ information technologies effectively.
5) Ability to design and conduct experiments, gather data, analyse and interpret results for investigating engineering problems.
6) Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
7) Ability to communicate effectively i Turkish, both orally and in writing; knowledge of a minimum of one foreign language.
8) Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
9) Awareness of professional and ethical responsibility.
10) Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development.
11) Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; 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)	Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied information in these areas to model and solve engineering problems.	1
2)	Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modelling methods for this purpose.	1
3)	Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way so as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues according to the nature of the design.)	2
4)	Ability to devise, select, and use modern techniques and tools needed for engineering practice; ability to employ information technologies effectively.	1
5)	Ability to design and conduct experiments, gather data, analyse and interpret results for investigating engineering problems.
6)	Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.	1
7)	Ability to communicate effectively i Turkish, both orally and in writing; knowledge of a minimum of one foreign language.
8)	Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.	5
9)	Awareness of professional and ethical responsibility.	5
10)	Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development.
11)	Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; 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