Managing Business Process Flows Principles Of Operations Management 2 E
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Managing Business Process Flows
This unique and comprehensive book presents a unifying paradigm for understanding operations, based in the belief that a large part of operations management is the design and management of business processes. The overall objective of the book is to demonstrate how managers can control process structure and process drivers to achieve desired business process performance. This framework is applied to understand which levels managers have to control: cycle time, capacity, inventory, and quality. Providing a conceptual and logically rigorous approach, Managing Business Process Flows discusses the subject in three steps: model and understand the process and its flows; study causal relationships between process structure and certain performance metrics; and formulate implications for managerial actions by filtering out managerial levers ("process drivers") and their impact on process performance. The book also identifies managerial levers, and establishes a connection between operational and financial measurements. An essential resource for all management professionals, especially Management Consultants specializing in operations and supply chains, Managers and VPs overseeing supply chains, and Plant Managers. ÿ
Business Process Analytics
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, analyze, 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 machine learning. The authors focus on business processes as opposed to just manufacturing processes or general operations management problems and emphasize 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 that an understanding of simulation modeling, its potential as well as its limitations for analyzing and designing processes, is of key importance to students looking for a future career in operations management. Changes from the previous edition include the following: 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, examples, and exercises to ExtendSim10 (current version) More coverage on design of experiments More coverage of machine learning and neural networks
Business Process Modeling, Simulation and Design
Business Process Modeling, Simulation and Design, Third Edition provides students with a comprehensive coverage of a range of analytical tools used to model, analyze, understand, and ultimately design business processes. The new edition of this very successful textbook includes a wide range of approaches such as graphical flowcharting tools, cycle time and capacity analyses, queuing models, discrete-event simulation, simulation-optimization, and data mining for process analytics. While most textbooks on business process management either focus on the intricacies of computer simulation or managerial aspects of business processes, this textbook does both. It presents the tools to design business processes and management techniques on operating them efficiently. The book focuses on the use of discrete event simulation as the main tool for analyzing, modeling, and designing effective business processes. The integration of graphic user-friendly simulation software enables a systematic approach to create optimal designs.