ECTS - Production Planning and Control
Production Planning and Control (IE307) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| Production Planning and Control | IE307 | 3 | 0 | 0 | 3 | 5 |
| Pre-requisite Course(s) |
|---|
| N/A |
| Course Language | English |
|---|---|
| Course Type | N/A |
| Course Level | Bachelor’s Degree (First Cycle) |
| Mode of Delivery | Face To Face |
| Learning and Teaching Strategies | Lecture, Discussion, Question and Answer, Problem Solving. |
| Course Lecturer(s) |
|
| Course Objectives | This course is designed to develop a basic understanding of major production planning concerns and decision chains, fundamental problem areas in production planning and control, planning hierarchy and the relations with the management activities. |
| Course Learning Outcomes |
The students who succeeded in this course;
|
| Course Content | Introduction to production and service systems; forecasting methods; production planning and control in decision making; aggregate production planning; capacity planning; materials requirement planning; scheduling; advanced techniques and approaches in modern production planning and control for designing manufacturing and service systems. |
Weekly Subjects and Releated Preparation Studies
| Week | Subjects | Preparation |
|---|---|---|
| 1 | Introduction to Production and Service Systems, Basic concepts of planning (planning horizons, production type and classifications, product-process life cycles, learning and experience curves, economies of scale/scope). | |
| 2 | Why to keep inventory, definitions and types of inventory, definitions of lead time, planning hierarchy. | |
| 3 | Forecasting (Qualitative and quantitative methods, importance of forecasting for the planning hierarchy) | |
| 4 | Inventory Planning (Inventory cost structure, Deterministic EOQ models, Quantity discounting) | |
| 5 | Aggregate Planning and MPS (Aggregate units of production, costs, strategies, LP formulation, disaggregation into MPS) | |
| 6 | Aggregate Planning and MPS (Aggregate units of production, costs, strategies, LP formulation, disaggregation into MPS) Midterm I | |
| 7 | MRP (Basic MRP definitions and mechanics: rolling horizons, BOM explosion) | |
| 8 | Calculation of net requirements, basic lot sizing heuristics | |
| 9 | Pull versus push Systems, (Shortcomings of MRP, Fundamentals of JIT concept, mechanics of Kanban, Comparison of MRP and JIT) | |
| 10 | Capacity Planning Rough-cut & Detailed Capacity Planning | |
| 11 | Scheduling and Heuristics Job Shop scheduling Single-m/c scheduling heuristics (FCFS, SPT, EDD) | |
| 12 | Scheduling and Heuristics Job Shop scheduling Single-m/c scheduling heuristics (FCFS, SPT, EDD) Midterm II | |
| 13 | Multiple-m/c scheduling, Assembly Line Balancing | |
| 14 | Brief introduction to recent advances | |
| 15 | Recent advances continued | |
| 16 | Final Examination Period |
Sources
| Course Book | 1. Nahmias, S., Production and Operations Analysis, 6th Edition, Irwin McGraw-Hill, 2009. |
|---|---|
| Other Sources | 2. Silver, E.A., Pyke, D.F., and Peterson, R., Inventory Management and Production Planning and Scheduling, 3rd Edition, John Wiley & Sons, 1998. |
| 3. Buffa, E.S., and Sarin, R.K., Modern Production/Operations Management, John Wiley, 1987. | |
| 4. Hax, A.C., and Candea, D., Production and Inventory Management, Prentice-Hall, 1984. | |
| 5. Johnson, L.A., and Montgomery, D.C., Operations Research in Production Planning, Scheduling, and Inventory Control, John Wiley, 1974. | |
| 6. Silver, E., and Peterson, R., Decision Systems for Inventory Management and Production Planning, John Wiley, 2nd Edition, 1985. | |
| 7. Sipper, D., and Bulfin, R.L., Production: Planning, Control, and Integration, McGraw Hill, 1997. | |
| 8. Vollman, T.E., Berry, W.L. and Whybark, D.C., Manufacturing Planning and Control Systems, Irwin, 3rd Edition, 1992. | |
| 9. Nemhauser, G.L., and Rinnooy Kan, A.H.G., (editors), Logistics of Production and Inventory, North-Holland, 1993. | |
| 10. Supplementary reading material whenever necessary. |
Evaluation System
| Requirements | Number | Percentage of Grade |
|---|---|---|
| Attendance/Participation | - | - |
| Laboratory | - | - |
| Application | - | - |
| Field Work | - | - |
| Special Course Internship | - | - |
| Quizzes/Studio Critics | - | - |
| Homework Assignments | 3 | 15 |
| Presentation | - | - |
| Project | - | - |
| Report | - | - |
| Seminar | - | - |
| Midterms Exams/Midterms Jury | 1 | 55 |
| Final Exam/Final Jury | 1 | 30 |
| Toplam | 5 | 100 |
| Percentage of Semester Work | 70 |
|---|---|
| Percentage of Final Work | 30 |
| Total | 100 |
Course Category
| Core Courses | X |
|---|---|
| Major Area Courses | |
| Supportive Courses | |
| Media and Managment Skills Courses | |
| Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
| # | Program Qualifications / Competencies | Level of Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | Acquires sufficient knowledge in mathematics, natural sciences, and related engineering disciplines; gains the ability to use theoretical and applied knowledge in these fields in solving complex engineering problems. | X | ||||
| 2 | Gains the ability to identify, define, formulate, and solve complex engineering problems; acquires the skill to select and apply appropriate analysis and modeling methods for this purpose. | X | ||||
| 3 | Gains the ability to design a complex system, process, device, or product to meet specific requirements under realistic constraints and conditions, and applies modern design methods for this purpose. | |||||
| 4 | Develops the skills to develop, select, and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in industrial engineering applications; gains the ability to effectively use information technologies. | X | ||||
| 5 | Gains the ability to design experiments, conduct experiments, collect data, analyze and interpret results for the investigation of complex engineering problems or discipline-specific research topics. | |||||
| 6 | Acquires the ability to work effectively in intra-disciplinary and multidisciplinary teams, as well as individual work skills. | |||||
| 7 | Acquires effective oral and written communication skills in Turkish; at least one foreign language proficiency; gains the ability to write effective reports, understand written reports, prepare design and production reports, make effective presentations, and give and receive clear instructions. | |||||
| 8 | Develops awareness of the necessity of lifelong learning; gains the ability to access information, follow developments in science and technology, and continuously renew oneself. | |||||
| 9 | Acquires the consciousness of adhering to ethical principles, and gains professional and ethical responsibility awareness. Gains knowledge about the standards used in industrial engineering applications. | |||||
| 10 | Gains knowledge about practices in the business life such as project management, risk management, and change management. Develops awareness about entrepreneurship and innovation. Gains knowledge about sustainable development. | |||||
| 11 | Gains knowledge about the universal and social dimensions of the impacts of industrial engineering applications on health, environment, and safety, as well as the problems reflected in the engineering field of the era. Gains awareness of the legal consequences of engineering solutions. | |||||
| 12 | Gains skills in the design, development, implementation, and improvement of integrated systems involving human, material, information, equipment, and energy. | X | ||||
| 13 | Gains knowledge about appropriate analytical and experimental methods, as well as computational methods, for ensuring system integration. | X | ||||
ECTS/Workload Table
| Activities | Number | Duration (Hours) | Total Workload |
|---|---|---|---|
| Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 3 | 48 |
| Laboratory | |||
| Application | |||
| Special Course Internship | |||
| Field Work | |||
| Study Hours Out of Class | 16 | 4 | 64 |
| Presentation/Seminar Prepration | |||
| Project | |||
| Report | |||
| Homework Assignments | 3 | 2 | 6 |
| Quizzes/Studio Critics | |||
| Prepration of Midterm Exams/Midterm Jury | 2 | 2 | 4 |
| Prepration of Final Exams/Final Jury | 1 | 3 | 3 |
| Total Workload | 125 | ||