Excel Models for Business and Operations Management

ISBN-13: 9780470015094 / Angielski / Miękka / 2005 / 432 str.

Barlow

Opis

Adopting an active learning approach with the emphasis being placed on the utilization of software tools to help build models, this book's primary approach is to help the reader put theory into practice. The 'learn by example' approach used throughout the book guides the user through the complexities of model building.

Spis treści

Preface.

1. A systems view of business.

Overview.

A systems view of business operations.

A manufacturing business model.

Finance and cost accounting.

The marketing function.

The production function.

Management decision–making.

References and further reading.

2. Model–building tools.

Overview.

Modelling characteristics.

Risk and uncertainty in decision–making.

Linear programming (LP).

Using Excel s Analysis ToolPak .

Statistical methods.

Decision analysis.

Simulation.

Excel functions used in model–building.

Exercises.

References and further reading.

PART 1: BUSINESS MODELS.

3. Financial models.

Overview.

Financial statements.

Ratio analysis.

Net present value (NPV).

Investment appraisal.

Portfolio management.

Capital budgeting using decision trees.

Cash flow analysis.

Investment financing: a simulation model.

Financial planning.

Excel add–ins: small business financial manager.

Excel functions used in model–building.

Exercises.

References and further reading.

4. Investment Analysis Models.

Overview.

Risk Preference Attitudes.

Utility Theory.

Portfolio theory the Markowitz model.

Portfolio analysis the efficient frontier.

Single index model (SIM).

Using SIM to derive the covariance matrix.

Capital asset pricing model (CAPM).

Bond valuation.

Duration and bond volatility.

Black Scholes option pricing model.

Excel functions used in model–building.

Exercises.

References and further reading.

5. Worksheet applications in cost accounting.

Overview.

Cost–volume–profit analysis.

Depreciation.

Equipment replacement.

Statistical replacement analysis.

Simulation model for replacement/repairs.

Comparison between simulation and statistical results.

Budgeting.

Job costing.

The learning curve.

Checking the accuracy of learning curves.

Excel functions used in model–building.

Exercises.

References and further reading.

6. Marketing models.

Overview.

Organising and presenting data.

Correlation analysis and linear regression.

Forecasting time series and exponential smoothing.

Forecasting exponential smoothing.

Salesforce models.

Goal programming.

Excel functions used in model–building.

Exercises.

References and further reading.

7. Purchase order processing.

Overview.

Creating a simple macro.

Purchase order processing.

Creating the title screen.

Products and suppliers worksheets.

Creating the purchase order form.

Creating the database and its associated macros.

Macros for transferring data into the database.

Adding macros to buttons.

Amending purchase orders.

Printing purchase orders.

Protecting the POP database application.

Excel functions used in model–building.

Exercises.

References and further reading.

PART 2: MODELS FOR OPERATIONS MANAGEMENT.

8. Statistical applications in quality control.

Overview.

Probability distributions.

Acceptance sampling.

Estimation drawing conclusions from samples.

Hypothesis testing checking out a claim!

Analysis of variance (ANOVA).

Statistical process control.

Excel functions used in model–building.

Exercises.

References and further reading.

9. Inventory control models.

Overview.

Glossary of inventory terms.

Characteristics of inventory models.

Deterministic models.

Production order quantity model.

Inventory models with constraints.

Probabilistic models.

Inventory controls: a simulation approach.

Material requirements planning (MRP).

Lot–sizing methods.

Just–in–time (JIT) approach to inventory management.

Excel functions used in model–building.

Exercises.

References and further reading.

10. Models for production operations.

Overview.

Logistics models.

Other network flow applications.

Production planning and scheduling.

Queuing models.

Excel functions used in model–building.

Exercises.

References and further reading.

11. Project management.

Overview.

Project management techniques.

The project network.

Critical path method (CPM).

Simulation model for project management.

Exercises.

References and further reading.

Appendix: Excel refresher notes.

Basic Excel commands.

Drawing graphs with ChartWizard.

Object linking and embedding (OLE).

O autorze

Dr Barlow holds degrees in mathematics, computer science, and mechanical engineering. As well as extensive teaching experience previously at the Universities of Cape Town, South Africa and Wollongong, Australia he has held various positions in computer consultancy and the petroleum industry. He has published numerous papers in the areas of computer applications and systems management.

Blurb

Excel Models for Business and Operations Management, Second Edition, adopts a structured approach to management decision–making by integrating the activities of a manufacturing organization. The text is entirely assignment–based and uses Microsoft s Excel software to develop over eighty models. Everyday examples from finance, marketing and operations management form the basis of the book s hands–on development models. As in the previous edition, the emphasis is on the practical implementation of real–world models rather than traditional theoretical concepts. The book s learn–by–example approach helps to develop both analytical and mathematical skills by focusing on the formulation and building of business models.

New features in the second edition include

• Finance models in a new chapter on investment analysis models
• Job sequencing including a VBA routine for Johnson s Rule
• Multiplicative Holt–Winter s model
• All models and reference notes updated to the latest version of Excel

Excel Models for Business and Operations Management is ideally suited to intermediate and advanced undergraduate courses, as well as MBA courses, in business studies, finance, accounting, information technology, and operations management. It should be of interest to managers and analysts who want to develop their model–building skills.