COURSE INTRODUCTION AND APPLICATION INFORMATION


Course Name
Lean Production
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
ISE 362
Fall/Spring
3
0
3
4
Prerequisites
None
Course Language
English
Course Type
Elective
Course Level
First Cycle
Course Coordinator
Course Lecturer(s)
Assistant(s) -
Course Objectives The goal of the course is to teach Lean Thinking and its fundemenatals. Particularly, in the business world, Lean thinking aims to eliminate waste (Muda) in all forms in the systems for more effectiveness, productivity and profitability.
Learning Outcomes The students who succeeded in this course;
  • Will be able to apply lean philosophy for competitiveness.
  • Will be able to map Value Stream and reduce wastes from the VS in both value added and support processes.
  • Will gain ability for applying 5S for better work place organization.
  • Will learn why set up time reduction is necessary for pull production.
  • Will be able to apply various problem solving tools for proactive waste elimination.
Course Content Description of Lean and its components such as Kaizen, 5S, VSM (Value Stream Mapping), Problem Solving, SMED (Single Minutes Exchange of Die), TPM (Total Preventive Maintenance), Kanban and Pull Systems, Standard Work, Lean Management for support processes

 



Course Category

Core Courses
Major Area Courses
X
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 Introduction & Ideal Systems Slides of week
2 Lean Concepts & Wastes Slides of week
3 Kaizen & 5S & Poka Yoke-Jidoka Slides of week
4 Problem Solving Slides of week
5 Point Kaizen & A3 Method Slides of week
6 Visual Management Slides of week
7 Total P Maintenance & Kanban Slides of week
8 Midterm Exam
9 SMED & One Piece Flow Slides of week
10 Standard Work (I) Slides of week
11 Standard Work_Simulation (II) Slides of week
12 VSM (Value Stream Mapping)(I) Slides of week
13 VSM_Simulation (II) Slides of week
14 Lean Management in Support Processes Slides of week
15 Review of the Semester
16 Final Exam
Course Textbooks Various sources were embedded within course slides. Slides are reachable over the web site of the instructor.
References

 

EVALUATION SYSTEM

Semester Requirements Number Percentage
Participation
1
15
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Homework / Assignments
1
20
Presentation / Jury
Project
Seminar / Workshop
Midterms / Oral Exams
1
30
Final / Oral Exam
1
35
Total

Contribution of Semester Work to Final Grade
65
Contribution of Final Work to Final Grade
35
Total

ECTS / WORKLOAD TABLE

Activities Number Duration (Hours) Workload
Course Hours
Including exam week: 16 x total hours
16
3
48
Laboratory / Application Hours
Including exam week: 16 x total hours
16
Study Hours Out of Class
14
2
Field Work
Quizzes / Studio Critiques
Homework / Assignments
1
30
Presentation / Jury
Project
Seminar / Workshop
Midterms / Oral Exams
1
8
Final / Oral Exam
1
12
    Total
126

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Qualifications / Outcomes
* Level of Contribution
1
2
3
4
5
1 Have the ability to optimize the managerial decisionmaking processes with the assessment of quality in production and service systems using Industrial Engineering tools and techniques such as simulation, optimization, probability and statistics, and analyze, interpret and assess data obtained. X
2 Be able to design integrated business systems with a systems approach based on the business requirements by generating and developing multiple alternatives X
3 Can identify, analyze and develop solutions based on scientific evidence to Industrial Engineering problems encountered in practice X
4 Have the ability to identify the problems in Industrial Engineering issues such as resource allocation, production planning and scheduling, quality control and assurance, financial analysis, and risk analysis, etc. and find the optimal solution by developing multiple solutions for these problems using quantitative analysis and critical thinking techniques with systems approach X
5 Be able to take responsibility for him/herself and for colleagues and employees to solve unpredicted complex problems encountered in practice individually or as a group member X
6 Have the ability to evaluate the knowledge and skills obtained in Industrial Engineering, be able to identify the topics which require improvement, and direct learning efforts to improve these points X
7 Can present and share knowledge, thoughts, and suggestions for solutions to problems related to the Industrial Engineering with colleagues using written and oral communication tools to both specialist and nonspecialist audiences supported by quantitative and qualitative data X
8 Ability to follow the developments in the field of Industrial Engineering and ability to communicate with colleagues using a foreign language. ("European Language Portfolio Global Scale", Level B1) X
9 Ability to use software programs related to Industrial Engineering and to have the knowledge and skills to learn and use software programs, information and communication technologies faced in practice. (“European Computer Driving License", Advanced Level) X
10 Understanding of social consciousness and to value social rights and justice. To value quality management and quality processes related to environment and job safety X
11 Ability to consider social, scientific, and ethical values in data collection, interpretation, and implementation stages of the Industrial Engineering problems and projects X

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

 

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