Picture of Business Process Modeling, Simulation and Design

Business Process Modeling, Simulation and Design

Manuel Laguna, Johan Marklund

Prentice Hall

April 2004

Paperback, pages

ISBN: 0131099795


Description

Intended for courses in Business Process Management and/or Modeling in the School of Business or a Department of Industrial Engineering or Engineering Management. It could also be used in a Business Simulation course, because a sizable portion of the book is devoted to discrete–event simulation.

This book covers the design of business processes from a broad quantitative modeling perspective. The text presents a multitude of analytical tools that can be used to model, analyze, understand and ultimately, to design business processes. The range of topics in this text include graphical flowcharting tools, deterministic models for cycle time analysis and capacity decisions, analytical queuing methods, as well as the use of Data Envelopment Analysis (DEA) for benchmarking purposes. And a major portion of the book is devoted to simulation modeling using a state of the art discrete–event simulation package.



Features


Features

  • Integration of management and technical issues associated with the design of business processes in chapters 1–3.
    • Provides students with a meaningful integration of management and technical issues.

  • Quantitative perspective on process modeling and design
    • Provides students with a comprehensive understanding of the various analytical and quantitative tools available.

  • Discrete event simulation is presented as a powerful tool for process modeling and design in chapters 3 and 6–10. Starting in chapter 7 students are introduced to Extend, a popular commercial simulation package. Extend is used to model the applications presented in subsequent chapters.
  • Extend LT simulation software—a powerful student version of Extend LT, along with several pre–built models, is provided on the CD–ROM packaged with this text.
    • Enables students to work hands–on with models of their own.

  • Data Envelopment Analysis (DEA)—is covered in chapter 11, which provides students with a detailed description of how to use DEA for process benchmarking. An Excel add–in for DEA is also provided on the CD–ROM.

 

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