Course Detail
Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| PRODUCTION PLANNING and CONTROL | - | Fall Semester | 3+0 | 3 | 6 |
| Course Program |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | English |
| Course Level | First Cycle (Bachelor's Degree) |
| Course Type | Required |
| Course Coordinator | Assoc.Prof. Melis Almula KARADAYI |
| Name of Lecturer(s) | Assoc.Prof. Melis Almula KARADAYI |
| Assistant(s) | |
| Aim | The objective of this course is to teach basic concepts of production planning and inventory control systems; obtaining a fair understanding of capacity planning, aggregate production planning, and inventory analysis; recognizing the relationships among the strategic, tactical and operational levels of planning in production systems by understanding the mathematical foundation behind these tools. |
| Course Content | This course contains; Introduction to Production Systems and Facility Layout Types,Demand Forecasting I,Demand Forecasting II,Demand Forecasting III,Aggregate Production Planning I,Aggregate Production Planning II,Inventory Control Subject to Known Demand I,Inventory Control Subject to Known Demand II,Inventory Control Subject to Unknown Demand I,Inventory Control Subject to Unknown Demand II,Master Production Schedule (MPS),Material Requirements Planning (MRP) I,Material Requirements Planning (MRP) II,Term Project Presentations. |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| Differentiate production layouts | 16, 9 | A, F, G |
| Explain basic concepts of production, production planning and inventory control systems | 12, 16, 9 | A, F |
| Use forecasting techniques to forecast demand | 12, 16, 9 | A, F, G |
| Construct aggregate production plans | 12, 16, 9 | A, G |
| Manage inventory control subject to known and uncertain demand | 12, 16, 9 | A, G |
| Construct Master Production Schedule (MPS) | 12, 16, 9 | A |
| Construct Materials Requirement Planning (MRP) and solve lot sizing techniques | 12, 16, 9 | A, G |
| Teaching Methods: | 12: Problem Solving Method, 16: Question - Answer Technique, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam, F: Project Task, G: Quiz |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Introduction to Production Systems and Facility Layout Types | Lecture Notes |
| 2 | Demand Forecasting I | Lecture Notes |
| 3 | Demand Forecasting II | Lecture Notes |
| 4 | Demand Forecasting III | Lecture Notes |
| 5 | Aggregate Production Planning I | Lecture Notes |
| 6 | Aggregate Production Planning II | Lecture Notes |
| 7 | Inventory Control Subject to Known Demand I | Lecture Notes |
| 8 | Inventory Control Subject to Known Demand II | Lecture Notes |
| 9 | Inventory Control Subject to Unknown Demand I | Lecture Notes |
| 10 | Inventory Control Subject to Unknown Demand II | Lecture Notes |
| 11 | Master Production Schedule (MPS) | Lecture Notes |
| 12 | Material Requirements Planning (MRP) I | Lecture Notes |
| 13 | Material Requirements Planning (MRP) II | Lecture Notes |
| 14 | Term Project Presentations | Term Project Report |
| Resources |
| Steven Nahmias, Tava Lennon Olsen Production and Operations Analysis, 7th Edition, McGraw-Hill. ISBN-10: 1478623063 |
| Sipper D., R.L. Bulfin, Production: Planning, Control, and Integration, McGraw-Hill, 1997 Zipkin, Paul H. Foundations of Inventory Management. Boston: McGraw–Hill, 2000, ISBN-10: 0256113793 |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 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. | X | |||||
| 10 | Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development. | X | |||||
| 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 Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 30 | |
| Rate of Final Exam to Success | 70 | |
| Total | 100 | |
| ECTS / Workload Table | ||||||
| Activities | Number of | Duration(Hour) | Total Workload(Hour) | |||
| Course Hours | 14 | 3 | 42 | |||
| Guided Problem Solving | 0 | 0 | 0 | |||
| Resolution of Homework Problems and Submission as a Report | 14 | 1 | 14 | |||
| Term Project | 0 | 0 | 0 | |||
| Presentation of Project / Seminar | 0 | 0 | 0 | |||
| Quiz | 5 | 10 | 50 | |||
| Midterm Exam | 1 | 30 | 30 | |||
| General Exam | 1 | 44 | 44 | |||
| Performance Task, Maintenance Plan | 0 | 0 | 0 | |||
| 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
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| PRODUCTION PLANNING and CONTROL | - | Fall Semester | 3+0 | 3 | 6 |
| Course Program |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | English |
| Course Level | First Cycle (Bachelor's Degree) |
| Course Type | Required |
| Course Coordinator | Assoc.Prof. Melis Almula KARADAYI |
| Name of Lecturer(s) | Assoc.Prof. Melis Almula KARADAYI |
| Assistant(s) | |
| Aim | The objective of this course is to teach basic concepts of production planning and inventory control systems; obtaining a fair understanding of capacity planning, aggregate production planning, and inventory analysis; recognizing the relationships among the strategic, tactical and operational levels of planning in production systems by understanding the mathematical foundation behind these tools. |
| Course Content | This course contains; Introduction to Production Systems and Facility Layout Types,Demand Forecasting I,Demand Forecasting II,Demand Forecasting III,Aggregate Production Planning I,Aggregate Production Planning II,Inventory Control Subject to Known Demand I,Inventory Control Subject to Known Demand II,Inventory Control Subject to Unknown Demand I,Inventory Control Subject to Unknown Demand II,Master Production Schedule (MPS),Material Requirements Planning (MRP) I,Material Requirements Planning (MRP) II,Term Project Presentations. |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| Differentiate production layouts | 16, 9 | A, F, G |
| Explain basic concepts of production, production planning and inventory control systems | 12, 16, 9 | A, F |
| Use forecasting techniques to forecast demand | 12, 16, 9 | A, F, G |
| Construct aggregate production plans | 12, 16, 9 | A, G |
| Manage inventory control subject to known and uncertain demand | 12, 16, 9 | A, G |
| Construct Master Production Schedule (MPS) | 12, 16, 9 | A |
| Construct Materials Requirement Planning (MRP) and solve lot sizing techniques | 12, 16, 9 | A, G |
| Teaching Methods: | 12: Problem Solving Method, 16: Question - Answer Technique, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam, F: Project Task, G: Quiz |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Introduction to Production Systems and Facility Layout Types | Lecture Notes |
| 2 | Demand Forecasting I | Lecture Notes |
| 3 | Demand Forecasting II | Lecture Notes |
| 4 | Demand Forecasting III | Lecture Notes |
| 5 | Aggregate Production Planning I | Lecture Notes |
| 6 | Aggregate Production Planning II | Lecture Notes |
| 7 | Inventory Control Subject to Known Demand I | Lecture Notes |
| 8 | Inventory Control Subject to Known Demand II | Lecture Notes |
| 9 | Inventory Control Subject to Unknown Demand I | Lecture Notes |
| 10 | Inventory Control Subject to Unknown Demand II | Lecture Notes |
| 11 | Master Production Schedule (MPS) | Lecture Notes |
| 12 | Material Requirements Planning (MRP) I | Lecture Notes |
| 13 | Material Requirements Planning (MRP) II | Lecture Notes |
| 14 | Term Project Presentations | Term Project Report |
| Resources |
| Steven Nahmias, Tava Lennon Olsen Production and Operations Analysis, 7th Edition, McGraw-Hill. ISBN-10: 1478623063 |
| Sipper D., R.L. Bulfin, Production: Planning, Control, and Integration, McGraw-Hill, 1997 Zipkin, Paul H. Foundations of Inventory Management. Boston: McGraw–Hill, 2000, ISBN-10: 0256113793 |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 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. | X | |||||
| 10 | Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development. | X | |||||
| 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 Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 30 | |
| Rate of Final Exam to Success | 70 | |
| Total | 100 | |