Business process, modeling, simulation and design / Manuel Laguna, Johan Marklund.

By:

Laguna, Manuel

Contributor(s):

Marklund, Johan [aut]

Material type:

TextPublication details: [Boca Raton] : CRC Press, 2013.Edition: 2nd edDescription: 509 p. : ill. b&w ; 26 cmISBN:

9781439885253

Subject(s):

DDC classification:

658.5

Contents:

1. Introduction to business process design -- 2. Process management and process-oriented improvement programs -- 3. Framework for business process-design projects -- 4. Basic tools for process design -- 5. Managing process flows -- 6. Introduction to queuing modeling -- 7. Introduction to simulations -- 8. Modeling and simulating business processes with extendsim -- 9. Input and output data analysis -- 10. Optimizing business process performance -- 11. Business process analytics.

Summary: Provides with a thorough understanding of numerous analytical tools that can be used to model, analyze, design, manage, and improve business processes, covering' 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.

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Holdings
Item type	Current library	Call number	Status	Barcode
Books	Marbella International University Centre Library	658.5 LAG bus (Browse shelf(Opens below))	Available	10261

1. Introduction to business process design --
2. Process management and process-oriented improvement programs --
3. Framework for business process-design projects --
4. Basic tools for process design --
5. Managing process flows --
6. Introduction to queuing modeling --
7. Introduction to simulations --
8. Modeling and simulating business processes with extendsim -- 9. Input and output data analysis --
10. Optimizing business process performance --
11. Business process analytics.

Provides with a thorough understanding of numerous analytical tools that can be used to model, analyze, design, manage, and improve business processes, covering' 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.

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