BAHÇEŞEHİR UNIVERSITY BİLGİ PAKETİ / DERS KATALOĞU
| 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 |