Industrial Engineering in the Age of Business Intelligence


Book Description

This book gathers extended versions of the best papers presented at the Global Joint Conference on Industrial Engineering and Its Application Areas (GJCIE), held virtually on October 30–31, 2021, from Istanbul Technical University. Continuing the tradition of previous volumes, it highlights recent developments of industrial engineering at the purpose of using and managing digital and intelligent technologies for application to a wide range of field, including manufacturing, healthcare, e-commerce and mobility.




The New Industrial Engineering: Information Technology and Business Process Redesign


Book Description

This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work is in the "public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.




Computational Collective Intelligence


Book Description

This two-volume set (LNAI 11683 and LNAI 11684) constitutes the refereed proceedings of the 11th International Conference on Computational Collective Intelligence, ICCCI 2019, held in Hendaye France, in September 2019.The 117 full papers presented were carefully reviewed and selected from 200 submissions. The papers are grouped in topical sections on: computational collective intelligence and natural language processing; machine learning in real-world data; distributed collective intelligence for smart manufacturing; collective intelligence for science and technology; intelligent management information systems; intelligent sustainable smart cities; new trends and challenges in education: the university 4.0; intelligent processing of multimedia in web systems; and big data streaming, applications and security.




Business Intelligence Strategy and Big Data Analytics


Book Description

Business Intelligence Strategy and Big Data Analytics is written for business leaders, managers, and analysts - people who are involved with advancing the use of BI at their companies or who need to better understand what BI is and how it can be used to improve profitability. It is written from a general management perspective, and it draws on observations at 12 companies whose annual revenues range between $500 million and $20 billion. Over the past 15 years, my company has formulated vendor-neutral business-focused BI strategies and program execution plans in collaboration with manufacturers, distributors, retailers, logistics companies, insurers, investment companies, credit unions, and utilities, among others. It is through these experiences that we have validated business-driven BI strategy formulation methods and identified common enterprise BI program execution challenges. In recent years, terms like "big data and "big data analytics have been introduced into the business and technical lexicon. Upon close examination, the newer terminology is about the same thing that BI has always been about: analyzing the vast amounts of data that companies generate and/or purchase in the course of business as a means of improving profitability and competitiveness. Accordingly, we will use the terms BI and business intelligence throughout the book, and we will discuss the newer concepts like big data as appropriate. More broadly, the goal of this book is to share methods and observations that will help companies achieve BI success and thereby increase revenues, reduce costs, or both. - Provides ideas for improving the business performance of one's company or business functions - Emphasizes proven, practical, step-by-step methods that readers can readily apply in their companies - Includes exercises and case studies with road-tested advice about formulating BI strategies and program plans




Geriatric Dentistry in the Age of Digital Technology


Book Description

Geriatric Dentistry in the Age of Digital Technology is a comprehensive guide that addresses the crucial role of dental professionals in providing specialized care for aging patients in today's digital era. As the world's population continues to age, it is imperative to prioritize the health promotion, prevention, and recovery of older individuals, especially concerning their oral health. Drawing upon relevant theoretical frameworks and the latest empirical research, this book offers invaluable insights for professionals seeking to enhance their understanding of Geriatric Dentistry and Gerodontology, as well as their application within the international context of digital transformation. Whether you are a dentist, dental student, researcher, or involved in the management of elderly dental care, this book provides a comprehensive exploration of the discipline's key topics. Delving into a range of subjects, the book covers essential areas such as the integration of Geriatrics and Gerontology into dental training, teaching methodologies for Geriatric Dentistry and Gerodontology, prevalent systemic diseases among the elderly, oral conditions commonly observed in this population, changes in the oral cavity during aging, and holistic dental care for geriatric patients in the digital age. Additionally, the book explores the dynamic relationship between oral health and the quality of life of older individuals, strategies for health promotion and disease prevention, salutogenic marketing approaches, and the challenges faced in providing dental care for elderly patients, including physical, psychosocial, and geographical barriers.




Sustaining Competitive Advantage via Business Intelligence, Knowledge Management, and System Dynamics


Book Description

Volume 22 includes two main chapters in both Part A and B. It appears in two parts because all chapters offer great depth in coverage of core issues senior executives must address for long-term survival of the firm: business intelligence, knowledge management, and understanding of the systems dynamics of interfirm behavior.




Concepts, Applications and Emerging Opportunities in Industrial Engineering


Book Description

From their initial focus in manufacturing, the industrial engineering principles, tools, and techniques have spread across a spectrum of application areas. Topics covered in this book apply to this continuum of application, including operations planning, safety, quality, production control, inventory management, operations research, supply chain management, and continuous improvement. This edited book comes at an opportune time. It incorporates new knowledge and expertise in a rapidly changing engineering discipline that is a vital force in a wide range of manufacturing, service, educational, and government organizations. Such concepts as lean systems, sustainability, systems thinking, data analytics, and additive manufacturing, as well as utilization of advanced computer software, have further expanded industrial engineering's breadth. Each chapter reflects important aspects of these advances.




Innovation and Sustainable Manufacturing


Book Description

Innovation and Sustainable Manufacturing: Research and Development addresses the manufacturing sustainability challenge from different points of view, drawing on research from different disciplines to shed light on the latest green technologies, green product design methods, and materials. Addressing the needs of practitioners as well as academics, this book examines a range of important themes such as environmental impacts and how to assess them, how to set boundary conditions to include or exclude downstream supply chains, how to improve sustainability without sacrificing productivity, the cost benefits of sustainability, and how to trace impacts in manufacturing. By providing a thorough review of global research in this field, Innovation and Sustainable Manufacturing acts as an ideal entry point into this discipline for researchers, and a guide to the latest developments for forward-thinking practitioners. - Covers how different stages of the manufacturing supply chain can impact on sustainability - Combines research from a variety of disciplines to provide a comprehensive coverage of this complex subject - Explores the relationship between sustainability and other goals such as productivity, quality, and profitability




Analytics and Knowledge Management


Book Description

The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics technique. Analytics and Knowledge Management examines the role of analytics in knowledge management and the integration of big data theories, methods, and techniques into an organizational knowledge management framework. Its chapters written by researchers and professionals provide insight into theories, models, techniques, and applications with case studies examining the use of analytics in organizations. The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics techniques. Analytics, on the other hand, is the examination, interpretation, and discovery of meaningful patterns, trends, and knowledge from data and textual information. It provides the basis for knowledge discovery and completes the cycle in which knowledge management and knowledge utilization happen. Organizations should develop knowledge focuses on data quality, application domain, selecting analytics techniques, and on how to take actions based on patterns and insights derived from analytics. Case studies in the book explore how to perform analytics on social networking and user-based data to develop knowledge. One case explores analyze data from Twitter feeds. Another examines the analysis of data obtained through user feedback. One chapter introduces the definitions and processes of social media analytics from different perspectives as well as focuses on techniques and tools used for social media analytics. Data visualization has a critical role in the advancement of modern data analytics, particularly in the field of business intelligence and analytics. It can guide managers in understanding market trends and customer purchasing patterns over time. The book illustrates various data visualization tools that can support answering different types of business questions to improve profits and customer relationships. This insightful reference concludes with a chapter on the critical issue of cybersecurity. It examines the process of collecting and organizing data as well as reviewing various tools for text analysis and data analytics and discusses dealing with collections of large datasets and a great deal of diverse data types from legacy system to social networks platforms.




Creativity Models for Innovation in Management and Engineering


Book Description

In todays' competitive environments, only the most creative and innovative organizations are able to survive. These dynamic organizations continuously establish and develop strategies that leverage their creativity and their innovative abilities to attain long-term success and maintain their competitive edge. Further study on the uses and benefits of creative management in the business sector is required to ensure businesses not only survive but expand and flourish. Creativity Models for Innovation in Management and Engineering introduces innovative research on creativity and innovation in the management and engineering fields and considers the importance of having resilient and inventive leaders in the competitive business world. Covering a wide range of topics such as business performance, knowledge management, entrepreneurship, and agribusiness, this reference work is ideal for engineers, managers, business owners, policymakers, academicians, researchers, practitioners, scholars, researchers, instructors, and students.