Quantitative Survival Guide for Operations Management to Accompany Operations Management / Edition 2

Quantitative Survival Guide for Operations Management to Accompany Operations Management / Edition 2

by Thomas Kratzer, Nada R. Sanders, Thomas A. Kratzer
     
 

ISBN-10: 0471678775

ISBN-13: 9780471678779

Pub. Date: 08/28/2004

Publisher: Wiley

This Quantitative Survival Guide for Operations Management comes from a desire to help students understand and succeed when faced with the quantitative portions of a course in Operations Management. If you have struggled with math and statistics in earlier courses, this is the guide for you! This supplement gives examples of the types of problems that a

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Overview

This Quantitative Survival Guide for Operations Management comes from a desire to help students understand and succeed when faced with the quantitative portions of a course in Operations Management. If you have struggled with math and statistics in earlier courses, this is the guide for you! This supplement gives examples of the types of problems that a student will encounter in a typical Operations Management textbook. The first section reviews some basics of algebra and pre-algebra. Each of the following sections reviews quantitative material by topic covered in an Operations Management course.

Product Details

ISBN-13:
9780471678779
Publisher:
Wiley
Publication date:
08/28/2004
Edition description:
REV
Pages:
71
Product dimensions:
7.50(w) x 9.70(h) x 1.10(d)

Table of Contents

1. Introduction

2. The Basics
2.1 Multiplication
2.2 Orders of Operations
2.3 Factorials, Summations, and Subscripts
2.4 Expected Value, Variance, and Standard Deviation
2.5 Use of Normal Distribution Table

3. Break-Even Quantities

4. Quality Control
4.1 Control Charts
4.1.1 Mean (x-bar) chart and Range (R) chart
4.1.2 p-chart
4.1.3 c-chart
4.2 Process Capability

5. Reliability

6. Forecasting Models
6.1 Simple Moving Average
6.2 Weighted Moving Average
6.3 Exponential Smoothing
6.4 Trend Adjusted Exponential Smoothing
6.5 Forecast Error, MAD, and MSE
6.6 Linear Trend Line
6.7 Linear Regression
6.7.1 Correlation Coefficient

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