Simulating Business Processes For Descriptive Predictive And Prescriptive Analytics

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Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics

Author : Andrew Greasley
Publisher : Walter de Gruyter GmbH & Co KG
Page : 405 pages
File Size : 40,5 Mb
Release : 2019-10-21
Category : Business & Economics
ISBN : 9781547400713

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Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics by Andrew Greasley Pdf

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

Author : Andrew Greasley
Publisher : Walter de Gruyter GmbH & Co KG
Page : 352 pages
File Size : 52,9 Mb
Release : 2019-10-21
Category : Business & Economics
ISBN : 9781547400690

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Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics by Andrew Greasley Pdf

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.

Introduction to Business Analytics Using Simulation

Author : Jonathan P. Pinder
Publisher : Academic Press
Page : 513 pages
File Size : 42,9 Mb
Release : 2022-02-06
Category : Business & Economics
ISBN : 9780323991179

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Introduction to Business Analytics Using Simulation by Jonathan P. Pinder Pdf

Introduction to Business Analytics Using Simulation, Second Edition employs an innovative strategy to teach business analytics. The book uses simulation modeling and analysis as mechanisms to introduce and link predictive and prescriptive modeling. Because managers can't fully assess what will happen in the future, but must still make decisions, the book treats uncertainty as an essential element in decision-making. Its use of simulation gives readers a superior way of analyzing past data, understanding an uncertain future, and optimizing results to select the best decision. With its focus on uncertainty and variability, this book provides a comprehensive foundation for business analytics. Students will gain a better understanding of fundamental statistical concepts that are essential to marketing research, Six-Sigma, financial analysis, and business analytics. Teaches managers how they can use business analytics to formulate and solve business problems to enhance managerial decision-making Explains the processes needed to develop, report and analyze business data Describes how to use and apply business analytics software Offers expanded coverage on the value and application of prescriptive analytics Includes a wealth of illustrative exercises that are newly organized by difficulty level Winner of the 2017 Textbook and Academic Authors Association's (TAA) Most Promising New Textbook Award in the prior edition

Business Process Modeling, Simulation and Design

Author : Manuel Laguna,Johan Marklund
Publisher : CRC Press
Page : 526 pages
File Size : 45,7 Mb
Release : 2018-12-07
Category : Business & Economics
ISBN : 9780429673337

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Business Process Modeling, Simulation and Design by Manuel Laguna,Johan Marklund Pdf

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.

Business Process Modeling, Simulation and Design, Second Edition

Author : Manuel Laguna,Johan Marklund
Publisher : CRC Press
Page : 527 pages
File Size : 55,5 Mb
Release : 2013-04-25
Category : Business & Economics
ISBN : 9781439885253

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Business Process Modeling, Simulation and Design, Second Edition by Manuel Laguna,Johan Marklund Pdf

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 processes and the management techniques to operate them efficiently. New to the Second Edition Three completely revised chapters that incorporate ExtendSim 8 An introduction to simulation A chapter on business process analytics Developed from the authors’ many years of teaching process design and simulation courses, the text provides students with a thorough understanding of numerous analytical tools that can be used to model, analyze, design, manage, and improve business processes. It covers 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. Unlike other operations management books, this one emphasizes user-friendly simulation software as well as business processes, rather than only manufacturing processes or general operations management problems. Taking an analytical modeling approach to process design, this book illustrates the power of simulation modeling as a vehicle for analyzing and designing business processes. It teaches how to apply process simulation and discusses the managerial implications of redesigning processes. The ExtendSim software is available online and ancillaries are available for instructors.

Absolute Essentials of Operations Management

Author : Andrew Greasley
Publisher : Routledge
Page : 125 pages
File Size : 52,9 Mb
Release : 2019-11-05
Category : Business & Economics
ISBN : 9781000754100

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Absolute Essentials of Operations Management by Andrew Greasley Pdf

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

Author : Andrew Greasley
Publisher : Taylor & Francis
Page : 414 pages
File Size : 46,8 Mb
Release : 2022-09-21
Category : Business & Economics
ISBN : 9781000648829

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Simulation Modelling by Andrew Greasley Pdf

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 Analytics, Volume I

Author : Amar Sahay
Publisher : Unknown
Page : 0 pages
File Size : 43,8 Mb
Release : 2018-08-23
Category : Business intelligence
ISBN : 1631573314

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Business Analytics, Volume I by Amar Sahay Pdf

This book is about Business Analytics (BA)--an emerging area in modern business decision making. The first part provides an overview of the field of Business Intelligence (BI) that looks into historical data to better understand business performance thereby improving performance, and creating new strategic opportunities for growth. Business analytics (BA) is about anticipated future trends of the key performance indicators used to automate and optimize business processes. The three major categories of business analytics--the descriptive, predictive, and prescriptive analytics along with advanced analytics tools are explained. The flow diagrams outlining the tools of each of the descriptive, predictive, and prescriptive analytics are presented. We also describe a number of terms related to business analytics. The second part of the book is about descriptive analytics and its applications. The topics discussed are--Data, Data Types and Descriptive Statistics, Data Visualization, Data Visualization with Big Data, Basic Analytics Tools: Describing Data Numerically--Concepts and Computer Applications. Finally, an overview and a case on descriptive statistics with applications and notes on implementation are presented. The concluding remarks provide information on becoming a certified analytics professional (CAP) and an overview of the second volume of this book which is a continuation of this first volume. It is about predictive analytics which is the application of predictive models to predict future trends. The second volume discusses Prerequisites for Predictive Modeling; Most Widely used Predictive Analytics Models, Linear and Non-linear regression, Forecasting Techniques, Data mining, Simulation, and Data Mining.

Educational Data Science

Author : Alejandro Peña-Ayala
Publisher : Springer Nature
Page : 299 pages
File Size : 41,6 Mb
Release : 2023
Category : Artificial intelligence
ISBN : 9789819900268

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Educational Data Science by Alejandro Peña-Ayala Pdf

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 about learning 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!

Essentials of Data Science and Analytics

Author : Amar Sahay
Publisher : Business Expert Press
Page : 440 pages
File Size : 40,6 Mb
Release : 2021-07-06
Category : Business & Economics
ISBN : 9781631573460

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Essentials of Data Science and Analytics by Amar Sahay Pdf

Data science and analytics have emerged as the most desired fields in driving business decisions. Using the techniques and methods of data science, decision makers can uncover hidden patterns in their data, develop algorithms and models that help improve processes and make key business decisions. Data science is a data driven decision making approach that uses several different areas and disciplines with a purpose of extracting insights and knowledge from structured and unstructured data. The algorithms and models of data science along with machine learning and predictive modeling are widely used in solving business problems and predicting future outcomes. This book combines the key concepts of data science and analytics to help you gain a practical understanding of these fields. The four different sections of the book are divided into chapters that explain the core of data science. Given the booming interest in data science, this book is timely and informative.

Business Analytics, Volume II

Author : Amar Sahay
Publisher : Business Expert Press
Page : 310 pages
File Size : 55,9 Mb
Release : 2019-11-08
Category : Business & Economics
ISBN : 9781631574801

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Business Analytics, Volume II by Amar Sahay Pdf

This business analytics (BA) text discusses the models based on fact-based data to measure past business performance to guide an organization in visualizing and predicting future business performance and outcomes. It provides a comprehensive overview of analytics in general with an emphasis on predictive analytics. Given the booming interest in analytics and data science, this book is timely and informative. It brings many terms, tools, and methods of analytics together. The first three chapters provide an introduction to BA, importance of analytics, types of BA-descriptive, predictive, and prescriptive-along with the tools and models. Business intelligence (BI) and a case on descriptive analytics are discussed. Additionally, the book discusses on the most widely used predictive models, including regression analysis, forecasting, data mining, and an introduction to recent applications of predictive analytics-machine learning, neural networks, and artificial intelligence. The concluding chapter discusses on the current state, job outlook, and certifications in analytics.

Business Analytics

Author : Amar Sahay
Publisher : Unknown
Page : 406 pages
File Size : 52,5 Mb
Release : 2019-11-08
Category : Business & Economics
ISBN : 1631574795

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Business Analytics by Amar Sahay Pdf

This business analytics (BA) text discusses the models based on fact-based data to measure past business performance to guide an organization in visualizing and predicting future business performance and outcomes. It provides a comprehensive overview of analytics in general with an emphasis on predictive analytics. Given the booming interest in analytics and data science, this book is timely and informative. It brings many terms, tools, and methods of analytics together. The first three chapters provide an introduction to BA, importance of analytics, types of BA-descriptive, predictive, and prescriptive-along with the tools and models. Business intelligence (BI) and a case on descriptive analytics are discussed. Additionally, the book discusses on the most widely used predictive models, including regression analysis, forecasting, data mining, and an introduction to recent applications of predictive analytics-machine learning, neural networks, and artificial intelligence. The concluding chapter discusses on the current state, job outlook, and certifications in analytics.

Advances in Business, Operations, and Product Analytics

Author : Matthew J. Drake
Publisher : Financial Times/Prentice Hall
Page : 0 pages
File Size : 53,9 Mb
Release : 2016
Category : BUSINESS & ECONOMICS
ISBN : 0133963705

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Advances in Business, Operations, and Product Analytics by Matthew J. Drake Pdf

If you're seeking to master business analytics, case studies offer invaluable help: they expose you to the entire decision-making process, helping you practice an active role in both performing analysis and using its output to recommend optimal decisions. Now, drawing on his extensive teaching and consulting experience, Prof. Matthew Drake has created the ideal new casebook for all analytics students and practitioners. Drake, author of the widely-praised Applied Business Analytics Casebook, now presents a collection of up-to-date cases that are longer and more detailed than those typically presented in undergraduate texts, but concise and focused enough to be taught in a single classroom session. Organized by analytical technique, Advances in Business, Operations, and Product Analytics covers: Descriptive analytics: descriptive statistics, sampling/inferential statistics, statistical quality control, and probability Predictive analytics: forecasting, demand managing, data and text mining Prescriptive analytics: optimization-based modeling, simulation-based modeling, decision analysis, and multi-criteria decision making Industry-specific analytics: HR and managerial analytics, financial analytics, and healthcare/life sciences In addition to practitioners, this casebook will be especially valuable to students and faculty in undergraduate and masters' courses that cover topics in business analytics, and courses applying analytics to specific industries such as healthcare, or specific business functions such as marketing.

Predictive and Simulation Analytics

Author : Walter R. Paczkowski
Publisher : Springer Nature
Page : 381 pages
File Size : 45,6 Mb
Release : 2023-07-18
Category : Business & Economics
ISBN : 9783031318870

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Predictive and Simulation Analytics by Walter R. Paczkowski Pdf

This book connects predictive analytics and simulation analytics, with the end goal of providing Rich Information to stakeholders in complex systems to direct data-driven decisions. Readers will explore methods for extracting information from data, work with simple and complex systems, and meld multiple forms of analytics for a more nuanced understanding of data science. The methods can be readily applied to business problems such as demand measurement and forecasting, predictive modeling, pricing analytics including elasticity estimation, customer satisfaction assessment, market research, new product development, and more. The book includes Python examples in Jupyter notebooks, available at the book's affiliated Github. This volume is intended for current and aspiring business data analysts, data scientists, and market research professionals, in both the private and public sectors.

Business Process Analytics

Author : Manuel Laguna,Johan Marklund
Publisher : Unknown
Page : 0 pages
File Size : 42,9 Mb
Release : 2024-10-11
Category : Business & Economics
ISBN : 1032595426

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Business Process Analytics by Manuel Laguna,Johan Marklund Pdf

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