Skip to main content

Course Detail

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
FACILITY DESIGN and PLANNING-Spring Semester3+036
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseEnglish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypeRequired
Course CoordinatorAssoc.Prof. Melis Almula KARADAYI
Name of Lecturer(s)Assoc.Prof. Melis Almula KARADAYI
Assistant(s)
AimThe purpose of this course is to make an introduction to planning and design of manufacturing facilities from an industrial engineering point of view.
Course ContentThis course contains; Introduction to Facilities Planning
,Product, Process and Schedule Design,Plant Layout: Types of Layouts
,Flow Patterns,Quantitative Flow Analysis, Block Layout
,Systematic Layout Planning,Machine Sequencing,Space Requirements,Assembly Line Balancing
,Plant Location,Location Analysis, Location Allocation Models
,Storage and Warehousing,Article Presentations I
,Article Presentations II.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
Explain the basic concepts of designing a new plant. 12, 16, 9A, E, G
Solves assembly systems and assembly line balancing problems.12, 16, 9A, E, G
Calculate equipment and machine requirements for a desired production rate12, 16, 9A, E, G
Design production cells using clustering approaches based on process similarities12, 16, 9A, E, G
Formulate and solve facility location models.12, 16, 9A, E, G
Having knowledge about real-life facility design and planning problems13, 14, 16F
Teaching Methods:12: Problem Solving Method, 13: Case Study Method, 14: Self Study Method, 16: Question - Answer Technique, 9: Lecture Method
Assessment Methods:A: Traditional Written Exam, E: Homework, F: Project Task, G: Quiz

Course Outline

OrderSubjectsPreliminary Work
1Introduction to Facilities Planning
Lecture Notes
2Product, Process and Schedule DesignLecture Notes
3Plant Layout: Types of Layouts
Lecture Notes
4Flow PatternsLecture Notes
5Quantitative Flow Analysis, Block Layout
Lecture Notes
6Systematic Layout PlanningLecture Notes
7Machine SequencingLecture Notes
8Space RequirementsLecture Notes
9Assembly Line Balancing
Lecture Notes
10Plant LocationLecture Notes
11Location Analysis, Location Allocation Models
Lecture Notes
12Storage and WarehousingLecture Notes
13Article Presentations I
14Article Presentations II
Resources
J. A. Tompkins, J. A. White, Y.A. Bozer, and J. M. A. Tanchoco, “Facilities Planning'', 4th ed., John Wiley & Sons, Inc., (2010). ISBN 978-0470444047."

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in the solution of complex engineering problems.
X
2
Ability to formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose.
X
3
Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose.
X
4
Ability to select and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively.
X
5
Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions.
X
6
Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
X
7
Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions.
X
8
Awareness of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
X
9
Knowledge on behavior according ethical principles, professional and ethical responsibility and standards used in engineering practices.
10
Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.
11
Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions.

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 30
Rate of Final Exam to Success 70
Total 100
ECTS / Workload Table
ActivitiesNumber ofDuration(Hour)Total Workload(Hour)
Course Hours14342
Guided Problem Solving000
Resolution of Homework Problems and Submission as a Report10550
Term Project14228
Presentation of Project / Seminar000
Quiz4416
Midterm Exam12222
General Exam12222
Performance Task, Maintenance Plan000
Total Workload(Hour)180
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(180/30)6
ECTS of the course: 30 hours of work is counted as 1 ECTS credit.

Detail Informations of the Course

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
FACILITY DESIGN and PLANNING-Spring Semester3+036
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseEnglish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypeRequired
Course CoordinatorAssoc.Prof. Melis Almula KARADAYI
Name of Lecturer(s)Assoc.Prof. Melis Almula KARADAYI
Assistant(s)
AimThe purpose of this course is to make an introduction to planning and design of manufacturing facilities from an industrial engineering point of view.
Course ContentThis course contains; Introduction to Facilities Planning
,Product, Process and Schedule Design,Plant Layout: Types of Layouts
,Flow Patterns,Quantitative Flow Analysis, Block Layout
,Systematic Layout Planning,Machine Sequencing,Space Requirements,Assembly Line Balancing
,Plant Location,Location Analysis, Location Allocation Models
,Storage and Warehousing,Article Presentations I
,Article Presentations II.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
Explain the basic concepts of designing a new plant. 12, 16, 9A, E, G
Solves assembly systems and assembly line balancing problems.12, 16, 9A, E, G
Calculate equipment and machine requirements for a desired production rate12, 16, 9A, E, G
Design production cells using clustering approaches based on process similarities12, 16, 9A, E, G
Formulate and solve facility location models.12, 16, 9A, E, G
Having knowledge about real-life facility design and planning problems13, 14, 16F
Teaching Methods:12: Problem Solving Method, 13: Case Study Method, 14: Self Study Method, 16: Question - Answer Technique, 9: Lecture Method
Assessment Methods:A: Traditional Written Exam, E: Homework, F: Project Task, G: Quiz

Course Outline

OrderSubjectsPreliminary Work
1Introduction to Facilities Planning
Lecture Notes
2Product, Process and Schedule DesignLecture Notes
3Plant Layout: Types of Layouts
Lecture Notes
4Flow PatternsLecture Notes
5Quantitative Flow Analysis, Block Layout
Lecture Notes
6Systematic Layout PlanningLecture Notes
7Machine SequencingLecture Notes
8Space RequirementsLecture Notes
9Assembly Line Balancing
Lecture Notes
10Plant LocationLecture Notes
11Location Analysis, Location Allocation Models
Lecture Notes
12Storage and WarehousingLecture Notes
13Article Presentations I
14Article Presentations II
Resources
J. A. Tompkins, J. A. White, Y.A. Bozer, and J. M. A. Tanchoco, “Facilities Planning'', 4th ed., John Wiley & Sons, Inc., (2010). ISBN 978-0470444047."

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in the solution of complex engineering problems.
X
2
Ability to formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose.
X
3
Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose.
X
4
Ability to select and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively.
X
5
Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions.
X
6
Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
X
7
Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions.
X
8
Awareness of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
X
9
Knowledge on behavior according ethical principles, professional and ethical responsibility and standards used in engineering practices.
10
Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.
11
Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions.

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 30
Rate of Final Exam to Success 70
Total 100

Numerical Data

Student Success

Ekleme Tarihi: 09/10/2023 - 10:42Son Güncelleme Tarihi: 09/10/2023 - 10:43