INDUSTRIAL ENGINEERING (ENGLISH, PHD)
PhD	TR-NQF-HE: Level 8	QF-EHEA: Third Cycle	EQF-LLL: Level 8

Course Introduction and Application Information

Course Code	Course Name	Semester	Theoretical	Practical	Credit	ECTS
INE6360	Special Topics in Demand Planning	Fall Spring	3	0	3	9

This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction:	English
Type of course:	Departmental Elective
Course Level:
Mode of Delivery:
Course Coordinator :	Assoc. Prof. BARIŞ SELÇUK
Recommended Optional Program Components:	None
Course Objectives:	CO 1: to recognize the quantitative techniques for time series forecasting CO 2: be able to measure forecasting errors CO 3: be able to perform regression analysis CO 4: be able to use casual forecasting methods CO 5: understand the relationship between demand planning and other business units such as sales, logistics, capacity planning

Learning Outcomes

The students who have succeeded in this course;
In todays highly complex and competitive business arena, there is an increasing pressure on management profesionals to face predictable demand, because all the other operations in a company depends on sales forecasts. In this course, the topic of demand planning is treated from a perspective that is broader than just statistical forecasting by considering the interaction between different business units such as marketing, logistics, capacity planning and etc. Demand management techniques are analyzed from a modeling perspective.

Course Content

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Introduction Chp 1,2
2)	Introduction Chp 3
3)	Forecasting Methods Chp 4
4)	Quantitative forecasting methods using time series data Chp 5
5)	Quantitative forecasting methods using time series data Chp 5
6)	Quantitative forecasting methods using time series data Chp 5
7)	Quantitative forecasting methods using time series data Chp 5
8)	Midterm
9)	Quantitative forecasting methods using casual data Chp 6
10)	Quantitative forecasting methods using casual data Chp 6
11)	Weighted combined forecasting methods Chp 7
12)	Weighted combined forecasting methods Chp 7
13)	Term Project Presentations
14)	Term Project Presentations

Sources

Course Notes / Textbooks:	Demand driven forecasting: A structural approach to forecasting Charles Chase 2009
References:

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Total		%
PERCENTAGE OF SEMESTER WORK		% 0
PERCENTAGE OF FINAL WORK		%
Total		%

Contribution of Learning Outcomes to Programme Outcomes

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	To understand and implement areas that are related with basic sciences, mathematics, and industrial engineering at a high level.
2)	To have expanded and deeper knowledge in the related field including the most recent developments.
3)	To use and evaluate knowledge with a systematic approach.
4)	To have high level proficiency of necessary methods and skills to reach the latest knowledge in the field and to understand the knowledge for making research studies.
5)	To make a comprehensive study innovating science and technology, developing new scientific method or technological product/process, implementing a known method to a new field.
6)	To be able to detect, design, implement, and finalize an original independent research process; to manage this process
7)	To be able to contribute science and technology by publishing outcomes of academic studies in reputable scholarly environments.
8)	To be able to evaluate scientific, technological, social and cultural developments, and to transfer these developments to society with scientific objectivity and ethical responsibility.
9)	To be able to conduct critical analysis, synthesis and evaluation of thoughts and developments in focusing field.
10)	To be Able to communicate and discuss orally, in written and visually with peers by using a foreign language at least at a level of European Language Portfolio C1 General Level.
11)	To be able to conduct functional interaction to solve the problems related to the field by using the strategic decision making processes
12)	To have effective and efficient management capabilities