Simulating Business Processes For Descriptive Predictive And Prescriptive Analytics
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Simulating Business Processes For Descriptive Predictive And Prescriptive Analytics
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Author : Andrew Greasley
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2019-10-21
Simulating Business Processes For Descriptive Predictive And Prescriptive Analytics written by Andrew Greasley and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-21 with Business & Economics categories.
This book outlines the benefits and limitations of simulation, what is involved in setting up a simulation capability in an organization, the steps involved in developing a simulation model and how to ensure that model results are implemented. In addition, detailed example applications are provided to show where the tool is useful and what it can offer the decision maker. In Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics, Andrew Greasley provides an in-depth discussion of Business process simulation and how it can enable business analytics How business process simulation can provide speed, cost, dependability, quality, and flexibility metrics Industrial case studies including improving service delivery while ensuring an efficient use of staff in public sector organizations such as the police service, testing the capacity of planned production facilities in manufacturing, and ensuring on-time delivery in logistics systems State-of-the-art developments in business process simulation regarding the generation of simulation analytics using process mining and modeling people’s behavior Managers and decision makers will learn how simulation provides a faster, cheaper and less risky way of observing the future performance of a real-world system. The book will also benefit personnel already involved in simulation development by providing a business perspective on managing the process of simulation, ensuring simulation results are implemented, and that performance is improved.
Simulating Business Processes For Descriptive Predictive And Prescriptive Analytics
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Author : Andrew Greasley
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2019-10-21
Simulating Business Processes For Descriptive Predictive And Prescriptive Analytics written by Andrew Greasley and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-21 with Business & Economics categories.
This book outlines the benefits and limitations of simulation, what is involved in setting up a simulation capability in an organization, the steps involved in developing a simulation model and how to ensure that model results are implemented. In addition, detailed example applications are provided to show where the tool is useful and what it can offer the decision maker. In Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics, Andrew Greasley provides an in-depth discussion of Business process simulation and how it can enable business analytics How business process simulation can provide speed, cost, dependability, quality, and flexibility metrics Industrial case studies including improving service delivery while ensuring an efficient use of staff in public sector organizations such as the police service, testing the capacity of planned production facilities in manufacturing, and ensuring on-time delivery in logistics systems State-of-the-art developments in business process simulation regarding the generation of simulation analytics using process mining and modeling people’s behavior Managers and decision makers will learn how simulation provides a faster, cheaper and less risky way of observing the future performance of a real-world system. The book will also benefit personnel already involved in simulation development by providing a business perspective on managing the process of simulation, ensuring simulation results are implemented, and that performance is improved.
Business Process Modeling Simulation And Design
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Author : Manuel Laguna
language : en
Publisher: CRC Press
Release Date : 2013-04-25
Business Process Modeling Simulation And Design written by Manuel Laguna and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-25 with Business & Economics categories.
Most textbooks on business process management focus on either the nuts and bolts of computer simulation or the managerial aspects of business processes. Covering both technical and managerial aspects of business process management, Business Process Modeling, Simulation and Design, Second Edition presents the tools to design effective business proce
Absolute Essentials Of Operations Management
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Author : Andrew Greasley
language : en
Publisher: Routledge
Release Date : 2019-11-05
Absolute Essentials Of Operations Management written by Andrew Greasley and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-05 with Business & Economics categories.
This short textbook consolidates all the key aspects of operations management into a concise and easily accessible reference tool. Comprising the management of creating goods and delivering services to customers, operations management plays an essential role in the success of any organization. This book discusses the main areas of operations management, such as the design of the operations system, including product, process and job design. It also covers the management of operations, including lean operations and supply chain management. Breaking the subject down into its key components, this book provides a core introduction for undergraduate students studying operations management as part of business and management degrees.
Simulation Modelling
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Author : Andrew Greasley
language : en
Publisher: Taylor & Francis
Release Date : 2022-09-21
Simulation Modelling written by Andrew Greasley and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-21 with Business & Economics categories.
While simulation has a vast area of application, this textbook focuses on the use of simulation to analyse business processes. It provides an up-to-date coverage of all stages of the discrete-event simulation (DES) process, covering important areas such as conceptual modelling, modelling input data, verification and validation and simulation output analysis. The book is comprehensive yet uncomplicated, covering the theoretical aspects of the subject and the practical elements of a typical simulation project, demonstrated by cases, examples and exercises. It also shows how simulation relates to new developments in machine learning, big data analytics and conceptual modelling techniques. Guidance is provided on how to build DES models using the Arena, Simio and Simul8 simulation software, and tutorials for using the software are incorporated throughout. Simulation Modelling offers a uniquely practical and end-to-end overview of the subject, which makes it perfect required or recommended reading for advanced undergraduate and postgraduate students studying business simulation and simulation modelling as part of operations research, business analytics, supply chain management and computer science courses.
Business Process Analytics
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Author : Manuel Laguna
language : en
Publisher: CRC Press
Release Date : 2025-01-31
Business Process Analytics written by Manuel Laguna and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-31 with Business & Economics categories.
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
Handbook Of Digital Innovation Transformation And Sustainable Development In A Post Pandemic Era
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Author : M. Affan Badar
language : en
Publisher: CRC Press
Release Date : 2024-12-30
Handbook Of Digital Innovation Transformation And Sustainable Development In A Post Pandemic Era written by M. Affan Badar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-30 with Computers categories.
Businesses have faced a variety of difficulties as a result of the global pandemic, and how they responded to this disruption has affected both their resilience and their ability to get through this crisis. Digital technologies have played a crucial role in addressing these issues and fostering resilience. It is, therefore, imperative to explore options for post-pandemic business transformation and rethinking sustainable development. Handbook of Digital Innovation, Transformation, and Sustainable Development in a Post-Pandemic Era, covers digital innovation and business transformation to build resilience for sustainable development and growth and highlights the impact of supply chain disruptions and solutions to sustain. The handbook stands out for its inclusion of industry cases from various regions across the globe. By presenting the use of big data, blockchain technology, and Industry 4.0, the handbook conveys how to work towards sustainable development and offers self-reliant and sustainable business models. Researchers and practitioners in industrial engineering, engineering management, business management, supply chain management, and digital technologies along with businesses can apply the research and practices covered in the handbook. Chapters 3 and 14 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.
Business Analytics Unleashing Data Driven Decision Making
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Author : JUBI R
language : en
Publisher: NEHAS PUBLICATIONS
Release Date : 2024-01-12
Business Analytics Unleashing Data Driven Decision Making written by JUBI R and has been published by NEHAS PUBLICATIONS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-12 with Business & Economics categories.
In today's dynamic and data-driven business landscape, the art and science of Business Analytics have emerged as critical tools for exploration, introspection, and informed decision-making. "Business Analytics," the book at hand, delves into the practices and competencies essential for unraveling the complexities of business performance, facilitating purposeful, intuitive, and expedient decision-making processes. The essence of Business Analytics lies in the extensive exploration of business data, aiming to extract meaningful information usable by managers across various organizational levels. This book positions Business Analytics as a catalyst for fact-based decision-making, elevating accountability in the decision-making process. It defines Business Analytics as a methodical process that involves scrutinizing and summarizing data with the explicit purpose of uncovering hidden predictive insights. This book places a particular emphasis on the science and artistry of business analytics, with a special focus on financial analytics. It not only explores the practical aspects but also lays the theoretical foundations, providing a comprehensive context for various elements of business analytics within specific business situations. A distinctive feature of this book is its commitment to showcasing the implementation of analytics by illustrating how leading companies leverage this power to enhance their investments. Acknowledging that scientific knowledge alone may not suffice for sound decision-making, the book underscores the importance of combining scientific expertise with a deep understanding of the business context and the best available information. Addressing a notable gap in existing literature, this book goes beyond traditional academic texts that predominantly concentrate on quantitative methods. Instead, it extends its reach to cover analytics for non-quantitative managers. In doing so, the book aims to equip a broader audience with the knowledge and tools necessary to harness the benefits of Business Analytics in diverse business scenarios. As you embark on this journey through the pages of "Business Analytics," you will gain insights into the transformative power of analytics in decision-making, and how it has become an indispensable asset for businesses navigating the intricacies of the contemporary corporate landscape.
Educational Data Science Essentials Approaches And Tendencies
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Author : Alejandro Peña-Ayala
language : en
Publisher: Springer Nature
Release Date : 2023-04-29
Educational Data Science Essentials Approaches And Tendencies written by Alejandro Peña-Ayala and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-29 with Computers categories.
This book describes theoretical elements, practical approaches, and specialized tools that systematically organize, characterize, and analyze big data gathered from educational affairs and settings. Moreover, the book shows several inference criteria to leverage and produce descriptive, explanatory, and predictive closures to study and understand education phenomena at in classroom and online environments. This is why diverse researchers and scholars contribute with valuable chapters to ground with well-–sounded theoretical and methodological constructs in the novel field of Educational Data Science (EDS), which examines academic big data repositories, as well as to introduces systematic reviews, reveals valuable insights, and promotes its application to extend its practice. EDS as a transdisciplinary field relies on statistics, probability, machine learning, data mining, and analytics, in addition to biological, psychological, and neurological knowledge aboutlearning science. With this in mind, the book is devoted to those that are in charge of educational management, educators, pedagogues, academics, computer technologists, researchers, and postgraduate students, who pursue to acquire a conceptual, formal, and practical landscape of how to deploy EDS to build proactive, real- time, and reactive applications that personalize education, enhance teaching, and improve learning! Chapter “Sync Ratio and Cluster Heat Map for Visualizing Student Engagement” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Enterprise Process Management Systems
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Author : Vivek Kale
language : en
Publisher: CRC Press
Release Date : 2018-10-10
Enterprise Process Management Systems written by Vivek Kale and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-10 with Business & Economics categories.
Enterprise Process Management Systems: Engineering Process-Centric Enterprise Systems using BPMN 2.0 proposes a process-centric paradigm to replace the traditional data-centric paradigm for Enterprise Systems (ES)--ES should be reengineered from the present data-centric enterprise architecture to process-centric process architecture to be called as Enterprise Process Management Systems (EPMS). The real significance of business processes can be understood in the context of current heightened priority on digital transformation or digitalization of enterprises. Conceiving the roadmap to realize a digitalized enterprise via the business model innovation becomes amenable only from the process-centric view of the enterprise. This pragmatic book: Introduces Enterprise Process Management Systems (EPMS) solutions that enable an agile enterprise. Describes distributed systems and Service Oriented Architecture (SOA) that paved the road to EPMS. Leverages SOA to explain the cloud-based realization of business processes in terms of Web Services. Describes how BPMN 2.0 addresses the requirements for agility by ensuring a seamless methodological path from process requirements modeling to execution and back (to enable process improvements). Presents the spreadsheet-driven Spreadsheeter Application Development (SAD) methodology for the design and development of process-centric application systems. Describes process improvement programs ranging right from disruptive programs like BPR to continuous improvement programs like lean, six sigma and TOC. Enterprise Process Management Systems: Engineering Process-Centric Enterprise Systems using BPMN 2.0 describes how BPMN 2.0 can not only capture business requirements but it can also provide the backbone of the actual solution implementation. Thus, the same diagram prepared by the business analyst to describe the business’s desired To-Be process can also be used to automate the execution of that process on a modern process engine.