INDR 372 • Midterm • Production Planning and Control
Eğitmen
Ömer Faruk Altun
Co-founder & Head of Education
2011 yılında Endüstri Mühendisliği okumak için başladığım Sabancı Üniversitesi'nden 2018 yılında Bilgisayar Mühendisi olarak mezun oldum. 13 yıldır Altun ismiyle başta Sabancı Üniversitesi olmak üzere çeşitli okullarda Endüstri ve Bilgisayar Mühendisliği alanlarında ders vermekteyim. Unicourse'ta sunduğum derslerin yanında eğitim departmanının da sorumluluğunu üstlenmekteyim.
Paketi Tamamla
🎓 Koç Üniversitesinde öğrencilerin %92'si tüm paketi alarak çalışıyor.
INDR 372 • Midterm
Production Planning and Control
Ömer Faruk Altun
2199 TL
INDR 372 • Final
Production Planning and Control
Ömer Faruk Altun
2199 TL
Konular
Forecasting - Introduction
Forecasting
Error in Forecasts
Mean Absolute Deviation (MAD)
Mean Squared Error (MSE)
Mean Absolute Percentage Error (MAPE)
Example
Components of the Data
Forecasting Methods
Moving Averages Method
Example
Exponential Smoothing Method
Example
Double Exponential Smoothing (Holt's Method)
Example
Triple Exponential Smoothing (Winter's Method)
Seasonal Factors
Example
Time Series Analysis
Demand as a Random Variable
Stationary Series: MA
Stationary Series: Exponential Smoothing
Trend Series
ARIMA Framework
Autocorrelation and Auto-Regression
AR, MA and ARMA
Which one to use?
Data Transformations
ARIMA Notation
Regression Analysis
Regression
Trend and Seasonality
Testing in Regression
Further Issues
Aggregate Production Planning
Introduction
Zero Inventory Strategy
Example 1
Example 2
Constant Workforce Plan
Example 3
Example 4
Sample Midterm Problems
Forecasting Methods 1
Forecasting Methods 2
Forecasting Methods 3
Forecasting Methods 4
Forecasting Methods 5
Time Series Analysis 1
Time Series Analysis 2
Time Series Analysis 3
Time Series Analysis 4
Time Series Analysis 5
Time Series Analysis 6
ARIMA Framework 1
ARIMA Framework 2
ARIMA Framework 3
ARIMA Framework 4
ARIMA Framework 5
Regression Analysis 1
Regression Analysis 2
Regression Analysis 3
Regression Analysis 4
Aggregate Production Planning 1
Aggregate Production Planning 2
Aggregate Production Planning 3
Aggregate Production Planning 4
Değerlendirmeler
Ders İçeriği
Forecasting - Introduction
Forecasting
Error in Forecasts
Mean Absolute Deviation (MAD)
Mean Squared Error (MSE)
Mean Absolute Percentage Error (MAPE)
Example
Components of the Data
Forecasting Methods
Moving Averages Method
Example
Exponential Smoothing Method
Example
Double Exponential Smoothing (Holt's Method)
Example
Triple Exponential Smoothing (Winter's Method)
Seasonal Factors
Example
Time Series Analysis
Demand as a Random Variable
Stationary Series: MA
Stationary Series: Exponential Smoothing
Trend Series
ARIMA Framework
Autocorrelation and Auto-Regression
AR, MA and ARMA
Which one to use?
Data Transformations
ARIMA Notation
Regression Analysis
Regression
Trend and Seasonality
Testing in Regression
Further Issues
Aggregate Production Planning
Introduction
Zero Inventory Strategy
Example 1
Example 2
Constant Workforce Plan
Example 3
Example 4
Sample Midterm Problems
Forecasting Methods 1
Forecasting Methods 2
Forecasting Methods 3
Forecasting Methods 4
Forecasting Methods 5
Time Series Analysis 1
Time Series Analysis 2
Time Series Analysis 3
Time Series Analysis 4
Time Series Analysis 5
Time Series Analysis 6
ARIMA Framework 1
ARIMA Framework 2
ARIMA Framework 3
ARIMA Framework 4
ARIMA Framework 5
Regression Analysis 1
Regression Analysis 2
Regression Analysis 3
Regression Analysis 4
Aggregate Production Planning 1
Aggregate Production Planning 2
Aggregate Production Planning 3
Aggregate Production Planning 4
Sıkça Sorulan Sorular
Örneğin, Koç Üniversitesi - MATH 101 (Calculus) veya başka bir okulun benzer dersi olsun, paketlerimiz tam da o derse göre tasarlanır. Böylece nokta atışı çalışır, zaman kazanırsın.
Sınava özel videolar —konu anlatımları, çıkmış sorular ve çözümleri, özet notlar—içerir. Sınavda sıkça çıkan soruları hedefler. Eğitmenlerimiz, üniversitenin akademik takvimini takip ederek paketleri sürekli günceller. Böylece, gereksiz detaylarla vakit kaybetmeden başarını artırmaya odaklanabilirsin.