ISE 361 • Midterm • Production Systems Design

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

Moving Averages Example

Weighted Moving Averages Method

Weighted Moving Averages Example

Exponential Smoothing Method

Exponential Smoothing Example

Regression Analysis

Regression Analysis Example

Double Exponential Smoothing (Holt's Method)

Double Exponential Smoothing Example

Summary

Seasonal Data with No Trend

Example

Triple Exponential Smoothing (Winter's Method)

Seasonal Factors

Example

Summary

Layout Types

Measuring Flow

Example 1

Activity Relationship Chart

Activity Relationship Chart with Space

Adjacency Matrix and Score

What are we doing?

Part-Machine Incidence Matrix

Rank Order Clustering Algorithm

Example 1

Handling Exceptional Elements

Similarity Coefficients

Single Linkage Clustering (SLC) Algorithm

Example 2

Regression

Trend and Seasonality

Testing in Regression

Further Issues

Exam Like Question 1

Exam Like Question 2

Exam Like Question 3

Exam Like Question 4

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

Layout Classification and Solution Methods 1

Layout Classification and Solution Methods 2

Layout Classification and Solution Methods 3

Layout Classification and Solution Methods 4

Group Technology 1

Group Technology 2

Group Technology 3

Group Technology 4

Group Technology 5