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)
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 Coordinator
Course Lecturer(s)
  • Dr. Öğr. Üyesi Bahram LOTFISADIGH
Course Assistants
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;
  • Students will recognize production planning and control-related concepts and terminology.
  • Students will become familiar with the hierarchical nature in analyzing production planning related problems and recognize the importance of applying systems concept.
  • Students will become familiar with mathematical modeling and heuristic approaches to solve production-related problems
  • Students will recognize the need and importance of capacity planning.
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


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 An ability to apply knowledge of mathematics, science and engineering to Industrial Engineering; an ability to apply theoretical and practical knowledge to model and solve engineering problems. X
2 An ability to identify, formulate and solve complex engineering problems; an ability to select and apply proper analysis and modeling methods. X
3 An ability to design a complex system, process, tool or component to meet desired needs within realistic constraints; an ability to apply modern design.
4 An ability to develop, select and put into practice techniques, skills and modern engineering tools necessary for engineering practice; an ability to use information technology effectively. X
5 An ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or disciplinary research topics.
6 An ability to work individually, on teams, and/or on multidisciplinary teams.
7 Ability to communicate effectively in Turkish orally and in writing; knowledge of at least one foreign language; effective report writing and understand written reports, preparing design and production reports, making effective presentations, giving and receiving clear and understandable instruction.
8 A recognition of the need for, and an ability to engage in life-long learning; an ability to use information-seeking tools and to follow the improvements in science and technology.
9 An ability to behave according to the ethical principles, an understanding of professional and ethical responsibility. Information on standards used in industrial engineering applications.
10 Knowledge of business applications such as project management, risk management and change management. A recognition of entrepreneurship, innovativeness. Knowledge of sustainable improvement.
11 Information on the effects of industrial engineering practices on health, environment and security in universal and societal dimensions and the information on the problems of the in the field of engineering of the era. Awareness of the legal consequences of engineering solutions.
12 An ability to design, development, implementation and improvement of integrated systems that include human, materials, information, equipment and energy. X
13 Knowlede on appropriate analytical, computational and experimental methods to provide system integration. X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Special Course Internship
Field Work
Study Hours Out of Class 16 4 64
Presentation/Seminar Prepration
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