IE 3523 • Midterm • Production and Service Systems Planning
“güzel anlatım ders içeriğiyle aynı”
Mehmet Efe Emeksiz
Endüstri Mühendisliği
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.
Memnuniyet Garantisi
Bu dersi alma kararını senin için kolaylaştıralım. Eğer memnun kalmazsan 30 gün içinde bize ulaş, 3'ten fazla içerik tamamlamadıysan iade alabilirsin.
Tüm koşullarPaketi Tamamla
🎓 Yaşar Üniversitesinde öğrencilerin %92'si tüm paketi alarak çalışıyor.
IE 3523 • Midterm
Production and Service Systems Planning
Ömer Faruk Altun
1299 TL
IE 3523 • Final
Production and Service Systems Planning
Ömer Faruk Altun
1299 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 - Stationary Series
Moving Averages Method
Moving Averages Example
Exponential Smoothing Method
Exponential Smoothing Example
Summary
Forecasting - Trend Series
Regression Analysis
Regression Analysis Example
Double Exponential Smoothing (Holt's Method)
Double Exponential Smoothing Example
Summary
Forecasting - Seasonal Series
Seasonal Data with No Trend
Example
Triple Exponential Smoothing (Winter's Method)
Seasonal Factors
Example
Summary
Aggregate Planning
Introduction
Zero Inventory Strategy
Example 1
Example 2
Constant Workforce Plan
Example 3
Example 4
Linear Programming Solution
Example 5
Inventory Planning Subject to Known Demand - 1
Economic Order Quantity
Cost Components
Example 1
Example 2
Lead Time
Example 3
Finite Production Rate
Example 4
Example 5
Inventory Planning Subject to Known Demand - 2
All Units Discounts
Example 1
Example 2
Incremental Discounts
Example 3
Example 4
Sample Midterm Problems
Forecasting 1
Forecasting 2
Forecasting 3
Forecasting 4
Forecasting 5
Forecasting 6
Forecasting 7
Inventory Planning Subject to Known Demand 1
Inventory Planning Subject to Known Demand 2
Inventory Planning Subject to Known Demand 3
Inventory Planning Subject to Known Demand 4
Inventory Planning Subject to Known Demand 5
Inventory Planning Subject to Known Demand 6
Inventory Planning Subject to Known Demand 7
Inventory Planning Subject to Known Demand 8
Inventory Planning Subject to Known Demand 9
Inventory Planning Subject to Known Demand 10
Inventory Planning Subject to Known Demand 11
Inventory Planning Subject to Known Demand 12
Inventory Planning Subject to Known Demand 13
Inventory Planning Subject to Known Demand 14
Inventory Planning Subject to Known Demand 15
Aggregate Production Planning 1
Aggregate Production Planning 2
Aggregate Production Planning 3
Aggregate Production Planning 4
Aggregate Production Planning 5
Aggregate Production Planning 6
Aggregate Production Planning 7
Değerlendirmeler
Henüz hiç değerlendirme yok.
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 - Stationary Series
Moving Averages Method
Moving Averages Example
Exponential Smoothing Method
Exponential Smoothing Example
Summary
Forecasting - Trend Series
Regression Analysis
Regression Analysis Example
Double Exponential Smoothing (Holt's Method)
Double Exponential Smoothing Example
Summary
Forecasting - Seasonal Series
Seasonal Data with No Trend
Example
Triple Exponential Smoothing (Winter's Method)
Seasonal Factors
Example
Summary
Aggregate Planning
Introduction
Zero Inventory Strategy
Example 1
Example 2
Constant Workforce Plan
Example 3
Example 4
Linear Programming Solution
Example 5
Inventory Planning Subject to Known Demand - 1
Economic Order Quantity
Cost Components
Example 1
Example 2
Lead Time
Example 3
Finite Production Rate
Example 4
Example 5
Inventory Planning Subject to Known Demand - 2
All Units Discounts
Example 1
Example 2
Incremental Discounts
Example 3
Example 4
Sample Midterm Problems
Forecasting 1
Forecasting 2
Forecasting 3
Forecasting 4
Forecasting 5
Forecasting 6
Forecasting 7
Inventory Planning Subject to Known Demand 1
Inventory Planning Subject to Known Demand 2
Inventory Planning Subject to Known Demand 3
Inventory Planning Subject to Known Demand 4
Inventory Planning Subject to Known Demand 5
Inventory Planning Subject to Known Demand 6
Inventory Planning Subject to Known Demand 7
Inventory Planning Subject to Known Demand 8
Inventory Planning Subject to Known Demand 9
Inventory Planning Subject to Known Demand 10
Inventory Planning Subject to Known Demand 11
Inventory Planning Subject to Known Demand 12
Inventory Planning Subject to Known Demand 13
Inventory Planning Subject to Known Demand 14
Inventory Planning Subject to Known Demand 15
Aggregate Production Planning 1
Aggregate Production Planning 2
Aggregate Production Planning 3
Aggregate Production Planning 4
Aggregate Production Planning 5
Aggregate Production Planning 6
Aggregate Production Planning 7
Memnuniyet Garantisi
Bu dersi alma kararını senin için kolaylaştıralım. Eğer memnun kalmazsan 30 gün içinde bize ulaş, 3'ten fazla içerik tamamlamadıysan iade alabilirsin.
Tüm koşullarSıkça 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.