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  Course Description
Course Name : Production Planning And Control

Course Code : ENM411

Course Type : Compulsory

Level of Course : First Cycle

Year of Study : 4

Course Semester : Fall (16 Weeks)

ECTS : 5

Name of Lecturer(s) : Prof.Dr. RIZVAN EROL

Learning Outcomes of the Course : He/she understands basic production planning and control functions of a firm.
He/she establishes relationships between planning and other management functions.
He/she determines what type of data is required and how it should be collected for an effective production planning.
He/she learns about production planning software(ex: MRPII, ERP) modules and their basic use.
He/she develops the best suitable planning system and algorithms for different production environments.
He/she builds and solves appropriate decision models for planning and scheduling problems.

Mode of Delivery : Face-to-Face

Prerequisites and Co-Prerequisites : None

Recommended Optional Programme Components : None

Aim(s) of Course : The main objective of this course is to study basic production planning and control processes in both manufacturing and service sectors using quantitive and computer based methods.

Course Contents : Basic production planning and control process, manufacturing and service strategies, sales forecasting, aggregate planning, Master Production Scheduling(MPS), bill of materials, Materials Requirements Planning(MRP), lot sizing, Enterprise Resources Planning (ERP), capacity planning, Just-In Time(JIT) production system, shop floor planning and control, scheduling principles and algorithms.

Language of Instruction : Turkish

Work Place : Most course sessions are to be held in a classroom. However, computer applications will be done in a lab.


  Course Outline /Schedule (Weekly) Planned Learning Activities
Week Subject Student's Preliminary Work Learning Activities and Teaching Methods
1 Basic production planning and control process reading the related textbook chapter lecturing, discussion
2 Manufacturing and service strategies reading the related textbook chapter lecturing, discussion
3 Sales forecasting - basic concepts and methods reading the related textbook chapter lecturing, discussion
4 Sales forecasting - time series models review of knowledge of basic statistics lecturing, discussion, software application
5 Aggregate production planning review of linear programming lecturing, discussion, case study
6 Master Production Scheduing (MPS) reading the related textbook chapter lecturing, discussion, case study, modeling practice
7 Materials Requirements Planning(MRP): basic concepts reading the related textbook chapter lecturing, discussion, case study
8 MRP - lot sizing methods reading the related textbook chapter lecturing, discussion
9 Midterm Exam preparation for the exam written exam
10 Enterprise Resources Planning(ERP) reading the related textbook chapter lecturing, discussion, sofware demo
11 Capacity planning and control reading the related textbook chapter lecturing, discussion, case study
12 Just-In Time(JIT) production system reading the related textbook chapter lecturing, discussion, case study
13 Shop floor activities planning and control reading the related textbook chapter lecturing, discussion, case study
14 Production scheduling reading the related textbook chapter lecturing, discussion, modeling practice
15 Project Presentations preparation for the presentation presentation, discussion
16/17 Final Exam preparation for the exam written exam


  Required Course Resources
Resource Type Resource Name
Recommended Course Material(s)  CHAPMAN, S. N., 2005, Fundamentals of Production Planning and Control, Prentice-Hall Inc.ISBN-13: 978-0130176158
 NARASIMHAN, S. L., MCLEAWAY, D. W. & BILLINGTON, P. J., 2009, Production Planning and Inventory Control, Prentice-Hall Inc., New York, NY.,ISBN-13: 978-8120311381
 JACOBS, F. R., CHASE, R., 2012, Operations and Supply Chain Management: The Core, The McGraw-Hill/Irwin, ISBN-13: 978-0073525235.
Required Course Material(s)  Scientific articles and case studies will be used as supplementary material.


  Assessment Methods and Assessment Criteria
Semester/Year Assessments Number Contribution Percentage
    Mid-term Exams (Written, Oral, etc.) 1 65
    Homeworks/Projects/Others 5 35
Total 100
Rate of Semester/Year Assessments to Success 40
 
Final Assessments 100
Rate of Final Assessments to Success 60
Total 100

  Contribution of the Course to Key Learning Outcomes
# Key Learning Outcome Contribution*
1 Can collect and analyze data required for industrial engineering problems ,develops and evaluates alternative solutions. 5
2 Has sufficient background on topics related to mathematics, physical sciences and industrial engineering. 4
3 Gains ability to use the acquired theoretical knowledge on basic sciences and industrial engineering for describing, formulating and solving an industrial engineering problem, and to choose appropriate analytical and modeling methods. 4
4 Gains ability to analyze a service and/or manufacturing system or a process and describes, formulates and solves its problems . 4
5 Gains ability to choose and apply methods and tools for industrial engineering applications. 5
6 Can access information and to search/use databases and other sources for information gathering. 4
7 Works efficiently and takes responsibility both individually and as a member of a multi-disciplinary team. 4
8 Appreciates life time learning; follows scientific and technological developments and renews himself/herself continuously. 5
9 Can use computer software in industrial engineering along with information and communication technologies. 5
10 Can use oral and written communication efficiently. 5
11 Has a conscious understanding of professional and ethical responsibilities. 4
12 Uses English skills to follow developments in industrial engineering and to communicate with people in his/her profession. 3
13 Has a necessary consciousness on issues related to job safety and health, legal aspects of environment and engineering practice. 4
14 Becomes competent on matters related to project management, entrepreneurship, innovation and has knowledge about current matters in industrial engineering. 5
* Contribution levels are between 0 (not) and 5 (maximum).

  Student Workload - ECTS
Works Number Time (Hour) Total Workload (Hour)
Course Related Works
    Class Time (Exam weeks are excluded) 14 4 56
    Out of Class Study (Preliminary Work, Practice) 3 6 18
Assesment Related Works
    Homeworks, Projects, Others 5 5 25
    Mid-term Exams (Written, Oral, etc.) 1 5 5
    Final Exam 1 10 10
Total Workload: 114
Total Workload / 25 (h): 4.56
ECTS Credit: 5