IE 401 • Midterm • Production and Service Systems Operations

Forecasting

Error in Forecasts

Mean Absolute Deviation (MAD)

Mean Squared Error (MSE)

Mean Absolute Percentage Error (MAPE)

Example

Components of the Data

Moving Averages Method

Example 1

Exponential Smoothing Method

Example 2

Summary

Regression Analysis

Example 1

Double Exponential Smoothing (Holt's Method)

Example 2

Summary

Seasonal Data with No Trend

Example 1

Triple Exponential Smoothing (Winter's Method)

Seasonal Factors

Example 2

Summary

Economic Order Quantity

Cost Components

Example 1

Example 2

Lead Time

Example 3

Finite Production Rate

Example 4

Example 5

All Units Discounts

Example 1

Example 2

Incremental Discounts

Example 3

Example 4

Budget Constraint

Example 1

Space Constraint

Example 2

Common Cycle Time

Example 3

Newsvendor Problem

Cost Calculation and Optimal Solution

Example 1

Additional Values

Example 2

Forecasting Stationary Series 1

Forecasting Stationary Series 2

Forecasting Trend Series 1

Forecasting Trend Series 2

Forecasting Seasonal Series 1

Forecasting Seasonal Series 2

Forecasting Seasonal Series 3

Basic EOQ 1

Basic EOQ 2

Basic EOQ 3

Basic EOQ + Lead Time 1

Basic EOQ + Lead Time 2

EPQ 1

EPQ 2

EPQ 3

EPQ 4

All Units Discount

Incremental Discount

Budget Constraint

Space Constraint

Common Cycle Time

Newsvendor Model 1

Newsvendor Model 2

Newsvendor Model 3

Newsvendor Model 4

Lot Size-Reorder Level (Q, R) Model

Optimal Solution

Example 1

Extra Quantities

Example 2

Service Levels

Given Type 1 Service Level

Given Type 2 Service Level

Lead Time Variability

(s, S) Policy

(Q, R) Model 1

(Q, R) Model 2

(Q, R) Model 3

Service Levels

Lead Time Variability & (s, S) Policy