TY  - BOOK
AU  - Laguna,Manuel
AU  - Marklund,Johan
TI  - Business Process Analytics: modeling, simulation, and design 
SN  - 9781032595429
AV  - HD62.17 .L34 2024
U1  - 658.4 23/eng/20240417
PY  - 2025///
CY  - Boca Raton, FL
PB  - CRC Press
KW  - Industrial management
KW  - Business planning
KW  - Reengineering (Management)
N1  - "First edition published by Prentice Hall, 2004"--Title page verso; "Previously titled Business Process Modeling, Simulation and Design"--Half-title page; Includes bibliographical references and index
N2  - "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"--
ER  -