Business Process Modeling, Simulation and Design: 2nd Edition (Hardback) book cover

Business Process Modeling, Simulation and Design

2nd Edition

By Manuel Laguna, Johan Marklund

Chapman and Hall/CRC

523 pages | 230 B/W Illus.

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pub: 2013-04-25
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Most textbooks on business process management focus on either the nuts and bolts of computer simulation or the managerial aspects of business processes. Covering both technical and managerial aspects of business process management, Business Process Modeling, Simulation and Design, Second Edition presents the tools to design effective business processes and the management techniques to operate them efficiently.

New to the Second Edition

  • Three completely revised chapters that incorporate ExtendSim 8
  • An introduction to simulation
  • A chapter on business process analytics

Developed from the authors’ many years of teaching process design and simulation courses, the text provides students with a thorough understanding of numerous analytical tools that can be used to model, analyze, design, manage, and improve business processes. It covers a wide range of approaches, including discrete event simulation, graphical flowcharting tools, deterministic models for cycle time analysis and capacity decisions, analytical queuing methods, and data mining. Unlike other operations management books, this one emphasizes user-friendly simulation software as well as business processes, rather than only manufacturing processes or general operations management problems.

Taking an analytical modeling approach to process design, this book illustrates the power of simulation modeling as a vehicle for analyzing and designing business processes. It teaches how to apply process simulation and discusses the managerial implications of redesigning processes. The ExtendSim software is available online and ancillaries are available for instructors.

Table of Contents

Introduction to Business Process Design

What Is a Business Process?

Essence of Business Process Design

Business Process Design, Overall Business Performance, and Strategy

Why Do Inefficient and Ineffective Business Processes Exist?

Process Management and Process-Oriented Improvement Programs

Process Management and the Power of Adopting a Process View

Six Sigma Quality Programs

Business Process Reengineering

Revolutionary versus Evolutionary Change

Framework for Business Process-Design Projects

Step 1: Case for Action and Vision Statements

Step 2: Process Identification and Selection

Step 3: Obtaining Management Commitment

Step 4: Evaluation of Design Enablers

Step 5: Acquiring Process Understanding

Step 6: Creative Process Design

Step 7: Process Modeling and Simulation

Step 8: Implementation of the New Process Design

Basic Tools for Process Design

Process Flow Analysis

Workflow Design Principles and Tools

Additional Diagramming Tools

From Theory to Practice: Designing an Order-Picking Process

Managing Process Flows

Business Processes and Flows

Cycle Time and Capacity Analysis

Managing Cycle Time and Capacity

Theory of Constraints

Introduction to Queuing Modeling

The Basic Queuing Process, Queuing Systems, and Queuing Strategies

Analytical Queuing Models

Introduction to Simulation

Simulation Models

Discrete-Event Simulation

Getting Started in Simulation Modeling

Illustrative Example

Spreadsheet Simulation of a Process

Successful Simulation in Practice

When Not to Simulate

Modeling and Simulating Business Processes with ExtendSim

Developing a Simulation Model: Principles and Concepts

ExtendSim Elements

ExtendSim Tutorial: A Basic Queuing Model

Basic Data Collection and Statistical Analysis

Adding Randomness to Processing Times and the Use of Attributes

Adding a Second Underwriting Team

Modeling Resources and Resource Pools

Customizing the Animation

Calculating Activity-Based Costs

Cycle Time Analysis

Modeling Advanced Queuing Features

Modeling Routing in Multiple Paths and Parallel Paths

Model Documentation and Enhancements

Input and Output Data Analysis

Dealing with Randomness

Characterizing Probability Distributions of Field Data

Random Number Generators

Generation of Random Variates

Analysis of Simulation Output Data

Modeling and Analysis of Process-Design Cases

Optimizing Business Process Performance

Business Process Optimization

Role of SimulationOptimization in Business Process Management

SimulationOptimization with ExtendSim

Optimization of Process Simulation Models

Business Process Analytics

Competing on Analytics

Business Process Management Systems

Process Benchmarking

Final Thoughts

Appendix: Instructions for Downloading ExtendSim Demo or LT


A Summary, Exercises, and References appear at the end of each chapter.

Subject Categories

BISAC Subject Codes/Headings:
BUSINESS & ECONOMICS / Operations Research
TECHNOLOGY & ENGINEERING / Operations Research