Process simulation is one of the conceptually simplest and most often applied techniques in Operations Management and Management Science, yet it has not been widely taught to business students.  A key reason for this is that performing process simulation requires the use of software, and the software that is available tends to be complex and expensive.  Even the more graphics-based packages, although often beautifully designed, frequently have an enormous number of features that place an unnecessary burden on students (and instructors) in classes that are not devoted to simulation. 

SimQuick is a computer package for process simulation that is easy to learn (most of its features can be learned in under an hour of class time or independent reading) and inexpensive.  It is aimed primarily at business students and managers who want to understand process simulation and be able to quickly analyze and improve real-world processes.  SimQuick is flexible in its modeling capability; that is, it is not a “hardwired” set of examples; it requires true modeling.  In addition, SimQuick runs in the widely-known Microsoft Excel spreadsheet environment (it is an ordinary Excel 2000 file with some hidden macros).  Hence, users of Excel will already be familiar with much of the interface, and the results are already in the spreadsheet, ready for analysis. 

This booklet accompanies SimQuick.  It presents the basics of process simulation by having the reader construct, run, and analyze simulations of realistic processes using SimQuick.  Chapter 1 contains a brief introduction to process simulation and the concepts underlying SimQuick.  The next four chapters contain a variety of examples of process simulation.  These examples are organized as follows: waiting lines (Chapter 2), inventory in supply chains (Chapter 3), manufacturing (Chapter 4), and project management (Chapter 5).  Each example is followed by an exercise.  All of the examples and exercises have been designed with business students and managers in mind. 

In addition to presenting the basics of process simulation, this booklet introduces a number of key concepts from the analysis of processes: service level, cycle (or waiting) time, throughput, bottleneck, batch size, setup, priority rule, and so on.  The booklet also introduces some key trade-offs from the analysis of processes: number of servers vs. service level, inventory level vs. service level, working time variability vs. throughput, batch size vs. service level, and so on.  These notions are presented through computer models that the reader constructs and experiments with using SimQuick.

How to use the booklet

The booklet is self-contained; that is, all technical terms involving processes or operations are defined.  (The reader is assumed to have a rudimentary understanding of how to use Excel on the level of knowing how to save files and how to enter information into cells.)  The chapters are organized around typical topics in Operations Management and Management Science courses so that this booklet can easily be used in these types of courses. 

The reader should first read Chapter 1 (which contains a conceptual explanation of process simulation and SimQuick) and Section 1 of Chapter 2 (which contains a step-by-step explanation of how to use SimQuick by completely working through a simple example).  After this the reader has a lot of freedom: The remaining sections in Chapters 2, 4, and 5 can be read in any order (except Example 7 should be read before Example 11).  However, the sections in Chapter 3 build on one another and should be read in sequence. 

The bulk of Chapters 2 through 5 consists of examples of processes that can be modeled using SimQuick.  When needed, an example discusses how to build the SimQuick model.  Each example is followed by an exercise.

A very quick treatment of process simulation could consist of working through Example/Exercise 1, followed by Examples/Exercises 2-4 for waiting lines and Example/Exercise 18 for manufacturing.  With just this material, many real-world processes can be easily modeled and studied.  Adding Example/Exercise 7 with Decision Points would allow the modeling of many more types of processes.  Adding Examples/Exercises 12 and 13 would provide a quick introduction to the modeling of inventory in supply chains.

The booklet contains four appendices.  Appendix 1 contains a list of the basic steps in conducting a simulation project.  Appendix 2 contains tips on how to enhance SimQuick by using some of the features built into Excel.  These tips are tied to examples in the booklet. Appendix 3 describes how to use a feature of SimQuick called Custom Schedules.  Appendix 4 contains a succinct description of all the features of SimQuick and can be used for reference.  Hence, the features of SimQuick are presented in two ways: through examples and in a reference manual.

Solutions to exercises: Instructors are provided with complete solutions (in Excel) to every exercise.  These solutions may be distributed to the students at the instructor’s discretion.

Web site: Refer to for additional information on SimQuick, this booklet, technical support, and process simulation in general.

Over the past four years, I have used SimQuick in the classroom with executive MBAs, full-time MBAs, and undergraduate business students.  After a one-hour introduction in class (basically, covering Section 1 of Chapter 2), the students successfully solve a variety of modeling problems with little help.  This introduction also serves as a launching pad for term projects, whereby students identify and analyze real-world processes of their choice.

New to the 2nd edition:

The SimQuick software in the second edition has been changed in a number of ways from its first incarnation.  These changes include the following (the manual in Appendix 4 contains all the features of SimQuick):

The text has also been updated; these changes include the following: