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Business Process Analytics
Modeling, Simulation and Design
By: Johan Marklund, Manuel Laguna
Hardcover | 31 January 2025 | Edition Number 4
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The fourth edition of this widely used textbook offers a new perspective. Previously titled Business Process Modeling, Simulation and Design, as the new title suggests, this book is about analytical business process modeling and design. However, this new edition introduces analytics to the title and to the presentation.
The main objective of this book is to provide students with a comprehensive understanding of the multitude of analytical tools that can be used to model, analyse, understand, and ultimately design business processes.
The most flexible and powerful of these tools, although not always the most appropriate, is discrete-event simulation. The wide range of approaches covered in this book include graphical flowcharting tools, deterministic models for cycle time analysis and capacity decisions, and analytical queuing methods, as well as data mining.
The authors focus on business processes as opposed to just manufacturing processes or general operations management problems and emphasise on simulation modeling using state-of-the-art commercial simulation software.
BUSINESS PROCESS ANALYTICS Modeling, Simulation, and Design can be thought of as a hybrid between traditional books on process management, operations management, and simulation. The growing interest in simulation-based tools suggests an understanding of simulation modeling, its potential as well as its limitations for analysing and designing processes, is of key importance to students looking for a future career in operations management.
Changes from previous edition.
§ New Section on data-driven process improvement (with data visualization)
§ Added a subsection of control charts to the 6-sigma section
§ Replaced business process reengineering with business process management
§ Updated all text, figures and examples, and exercises to ExtendSim10 (current version)
§ More coverage on design of experiments
§ More coverage of machine learning and neural networks
ISBN: 9781032595429
ISBN-10: 1032595426
Series: Textbooks in Mathematics
Published: 31st January 2025
Format: Hardcover
Language: English
Number of Pages: 638
Audience: Professional and Scholarly
Publisher: Taylor & Francis Ltd
Country of Publication: GB
Edition Number: 4
Dimensions (cm): 24.3 x 16.3 x 4.1
Weight (kg): 1.06
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You Can Find This Book In
This product is categorised by
- Non-FictionEconomics
- Non-FictionMathematicsDiscrete Mathematics
- Non-FictionArts & EntertainmentDesign, Industrial & Commercial Arts, IllustrationProduct Design
- Non-FictionBusiness & ManagementManagement & Management TechniquesManagement of Specific AreasProduction of Quality Control Management
- Non-FictionEngineering & TechnologyTechnology in GeneralEngineering in General
- Non-FictionMathematicsProbability & Statistics
- Non-FictionEngineering & TechnologyEnvironmental Science
- Non-FictionBusiness & ManagementBusiness Mathematics & Systems
- Non-FictionMathematicsApplied MathematicsMathematical Modelling
- Non-FictionBusiness & ManagementOperational Research