Quantitative analysis in operations management

Author(s)

Bibliographic Information

Quantitative analysis in operations management

Alistair Brandon-Jones, Nigel Slack

FT Prentice Hall, 2008

Available at  / 2 libraries

Search this Book/Journal

Description and Table of Contents

Description

This book provides the perfect practice for anybody taking quantitative methods for the first time, or for those looking to brush up on their quantitative knowledge. The books examines the different types of analysis techniques predictive, descriptive, evaluative and optimising through numerous examples and exercises and is great as a stand-alone product or an accompaniment to an Operations Management textbook

Table of Contents

List of figures About the authors Acknowledgements Using quantitative methods in Operations Management Models and quantification Verbal descriptive models Analogue models Relationship models Why use quantitative models? Types of quantitative model Predictive techniques Descriptive techniques Evaluative techniques Optimising techniques 1. Predictive Techniques Introduction 1.1 Time Series Analysis Simple moving average Weighted moving average Simple Exponential smoothing Trend adjusted exponential smoothing Seasonality in forecasting Trend projection Questions 1.2 Associative Forecasting Linear regression analysis Questions 1.3 Forecast Error MAD, MSE, and MAPE Questions 2. Descriptive Techniques Introduction 2.1 Earning Before Interest & Tax (EBIT) and Net Present Value (NPV) Earnings before interest and tax (EBIT) Net Present Value (NPV) Annuity Values Questions 2.2 Productivity and Efficiency Productivity Throughput efficiency Value-added throughput efficiency Questions 2.3 Capacity and requirements calculation Measuring capacity Design capacity, effective capacity, utilisation, and efficiency Overall Equipment Effectiveness (OEE) Calculating requirements single product / service Calculating requirements multiple products / services Questions 2.4 Work Measurement Time studies Sample size calculation Work sampling Questions 2.5 Failure, Reliability and Redundancy Failure Rate Mean Time Between Failure (MTBF) Reliability Redundancy Availability Questions 2.6 Statistical Process Control Control charts for attributes Control charts for variables Process capability Questions 2.7 Little's Law & Balancing Loss Little's Law Balancing loss Questions 2.8 Queuing methods M/M/m queuing system M/M/1 queuing system G/G/m queuing system G/G/1 queuing system Questions 3. Evaluative Techniques Introduction 3.1 Break-even Analysis Break-even point for a single product / service Break-even point for multiple products / services Evaluating alternative processes Questions 3.2 Weighted Score Method Questions 3.3 Decision Theory Decision-making under certain conditions Decision-making under uncertain conditions The value of perfect information Questions 3.4 Decision Trees Questions 3.5 Sequencing Sequencing Rules Critical ratio Johnson's Rule sequencing for 2-station flow Questions 4. Optimising Techniques Introduction 4.1 Optimising Location Load-distance method Load-distance for layout decisions Centre of gravity method Questions 4.2 Optimising Inventory Estimating inventory levels Economic order quantity Quantity discounts Economic batch quantity The timing decision Continuous review (Q) system under certain conditions Continuous review (Q) system under uncertain conditions Periodic (P) review system Questions 4.3 Linear Programming Maximising problems Minimising problems The general form of linear programming problems Questions 4.4 Transportation method Degeneracy Supply and demand not equal Questions 5. Answers 1. Predictive Techniques 1.1 Time Series 1.2 Associative Methods 1.3 Forecast Error 2. Descriptive Techniques 2.1 EBIT & NPV 2.2 Productivity & Efficiency 2.3 Capacity & Requirements Calculation 2.4 Work Measurement 2.5 Failure, Reliability & Redundancy 2.6 Statistical Process Control 2.7 Little's Law & Balancing Loss 2.8 Queuing Methods 3. Evaluative Techniques 3.1 Break Even Analysis 3.2 Weighted Score Method 3.3 Decision Theory 3.4 Decision Trees 3.5 Sequencing 4. Optimising Techniques 4.1 Optimising Location 4.2 Optimising Inventory 4.3 Linear Programming 4.4 Transportation method 6. Formula Review 7. Appendices Index

by "Nielsen BookData"

Details

Page Top