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 5. Semester 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type Compulsory Departmental Courses
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

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