Intelligent Fashion Forecasting Systems Models And Applications
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| Author | : Tsan-Ming Choi |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 199 |
| Release | : 2013-11-29 |
| Genre | : Business & Economics |
| ISBN | : 3642398693 |
Forecasting is a crucial function for companies in the fashion industry, but for many real-life forecasting applications in the, the data patterns are notorious for being highly volatile and it is very difficult, if not impossible, to analytically learn about the underlying patterns. As a result, many traditional methods (such as pure statistical models) will fail to make a sound prediction. Over the past decade, advances in artificial intelligence and computing technologies have provided an alternative way of generating precise and accurate forecasting results for fashion businesses. Despite being an important and timely topic, there is currently an absence of a comprehensive reference source that provides up-to-date theoretical and applied research findings on the subject of intelligent fashion forecasting systems. This three-part handbook fulfills this need and covers materials ranging from introductory studies and technical reviews, theoretical modeling research, to intelligent fashion forecasting applications and analysis. This book is suitable for academic researchers, graduate students, senior undergraduate students and practitioners who are interested in the latest research on fashion forecasting.
| Author | : Hau-Ling Chan |
| Publisher | : Springer Nature |
| Total Pages | : 141 |
| Release | : 2022-05-13 |
| Genre | : Business & Economics |
| ISBN | : 9811911770 |
This book reports the latest business practices, operations models, technologies and circular supply chain structure of the fast fashion companies and provides many important managerial insights on the sustainable operations management in the fast fashion era. Sustainability is a timely topic in both the academia and the business world. In the fast fashion era, there are considerable criticisms about its environmental pollution generated in the manufacturing and post-consumption processes. Over the past decades, many fast fashion companies, such as H&M, Zara, and Uniqlo, have implemented different sustainable programs to mitigate the negative impacts to the environment. Nowadays, the industry is moving one step further by addressing zero landfill through 3Rs principle (i.e., reducing, reusing and recycling), and pursuit of the circular supply chains. This book aims to reveal the exploratory, qualitative empirical and quantitative analytical studies on how to achieve the goal of being environmentally sustainable in the fast fashion era.
| Author | : Sébastien Thomassey |
| Publisher | : Springer |
| Total Pages | : 289 |
| Release | : 2018-05-16 |
| Genre | : Business & Economics |
| ISBN | : 9811300801 |
This book provides an overview of current issues and challenges in the fashion industry and an update on data-driven artificial intelligence (AI) techniques and their potential implementation in response to those challenges. Each chapter starts off with an example of a data-driven AI technique on a particular sector of the fashion industry (design, manufacturing, supply or retailing), before moving on to illustrate its implementation in a real-world application
| Author | : Tsan-Ming Jason Choi |
| Publisher | : Woodhead Publishing |
| Total Pages | : 308 |
| Release | : 2016-04-13 |
| Genre | : Computers |
| ISBN | : 0081005806 |
Information Systems for the Fashion and Apparel Industry brings together trends and developments in fashion information systems, industrial case-studies, and insights from an international team of authors. The fashion and apparel industry is fast-growing and highly influential. Computerized information systems are essential to support fashion business operations and recent developments in social media, mobile commerce models, radio frequency identification (RFID) technologies, and ERP systems are all driving innovative business measures in the industry. After an introductory chapter outlining key decision points and information requirements in fast fashion supply chains, Part One focuses on the principles of fashion information systems, with chapters covering how decision making in the apparel supply chains can be improved through the use of fuzzy logic, RFID technologies, evolutionary optimization techniques, and artificial neural networks. Part Two then reviews the range of applications for information systems in the fashion and apparel industry to improve customer choice, aid design, implement intelligent forecasting and procurement systems, and manage inventory and returns. - Provides systematic and comprehensive coverage of information systems for the fashion and apparel industry - Combines recent developments and industrial best-practices in apparel supply chain management in order to meet the needs of the fashion and apparel industry professionals and academics - Features input from a team of highly knowledgeable authors with a range of professional and academic experience, overseen by an editor who is a leading expert in the field - Reviews the range of applications for information systems in the fashion and apparel industry to improve customer choice, aid design, implement intelligent forecasting and procurement systems, and manage inventory and returns
| Author | : Alla G. Kravets |
| Publisher | : Springer Nature |
| Total Pages | : 358 |
| Release | : 2021-05-13 |
| Genre | : Technology & Engineering |
| ISBN | : 303066077X |
This book highlights original approaches of modelling and intelligent control of cyber-physical systems covering both theoretical and practical aspects. The novel contribution of the book covers the transformation of scientific research and their results into applications for cyber-physical systems design and operation during the whole life cycle in different domains. Given its scope, the book offers an excellent reference book for researchers and other readers in the fields of cyber-physical systems modelling and intelligent control, space exploration and practical implementation of cyber-physical systems. The book also benefits researchers and practitioners in artificial intelligence and machine learning, as described results can be applied in cyber-physical systems design and cost-effectively maintenance. The target audience of this book also includes practitioners and experts, as well as state authorities and representatives of international organizations interested in creating mechanisms for implementing Cyber-Physical Systems projects.
| Author | : Avinash K Shrivastava |
| Publisher | : Taylor & Francis |
| Total Pages | : 296 |
| Release | : 2022-08-29 |
| Genre | : Business & Economics |
| ISBN | : 1000641414 |
This volume analyses the rising inclusion of new and emerging technologies in business. It measures the effectiveness and challenges of these tools in various aspects of strategy and decision making within small and big businesses. Businesses in the competitive market must be agile and innovative to drive growth and the inclusion of technology and reliance on data science for decision-making is fraught with its own set of challenges. Through various case studies and analysis of trends, the book explores diverse dimensions of decision science from a micro as well as macro perspective. It examines the function, management and implementation of new technologies, like big data and AI in business operations and infrastructure highlighting their practical applications as well as the barriers to their adoption. This book will be useful to scholars and researchers of management studies, business management, financial management, business economics, international business, finance and marketing, development studies and economics. It will also interest policymakers and practitioners in the field.
| Author | : Management Association, Information Resources |
| Publisher | : IGI Global |
| Total Pages | : 1988 |
| Release | : 2021-09-24 |
| Genre | : Computers |
| ISBN | : 1668436639 |
Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different strategies must evolve to solve the issue. The field of big data works as a valuable tool for many different industries. The Research Anthology on Big Data Analytics, Architectures, and Applications is a complete reference source on big data analytics that offers the latest, innovative architectures and frameworks and explores a variety of applications within various industries. Offering an international perspective, the applications discussed within this anthology feature global representation. Covering topics such as advertising curricula, driven supply chain, and smart cities, this research anthology is ideal for data scientists, data analysts, computer engineers, software engineers, technologists, government officials, managers, CEOs, professors, graduate students, researchers, and academicians.
| Author | : Ilias Maglogiannis |
| Publisher | : Springer Nature |
| Total Pages | : 481 |
| Release | : 2020-05-29 |
| Genre | : Computers |
| ISBN | : 3030491617 |
This 2 volume-set of IFIP AICT 583 and 584 constitutes the refereed proceedings of the 16th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2020, held in Neos Marmaras, Greece, in June 2020.* The 70 full papers and 5 short papers presented were carefully reviewed and selected from 149 submissions. They cover a broad range of topics related to technical, legal, and ethical aspects of artificial intelligence systems and their applications and are organized in the following sections: Part I: classification; clustering - unsupervised learning -analytics; image processing; learning algorithms; neural network modeling; object tracking - object detection systems; ontologies - AI; and sentiment analysis - recommender systems. Part II: AI ethics - law; AI constraints; deep learning - LSTM; fuzzy algebra - fuzzy systems; machine learning; medical - health systems; and natural language. *The conference was held virtually due to the COVID-19 pandemic.
| Author | : Marlena Jankowska |
| Publisher | : Taylor & Francis |
| Total Pages | : 229 |
| Release | : 2023-12-22 |
| Genre | : Law |
| ISBN | : 1003833462 |
This book traces the development of the fashion industry, providing insight into the business and, in particular, its interrelations with copyright law. The book explores how the greatest haute couture fashion designers also had a sense for business and that their attention to copyright was one of the weapons in protecting their market position. The work also confronts the peculiarities of the fashion industry as a means of demonstrating the importance of intellectual property protection while pointing out the many challenges involved. A central aim is to provide a copyrightability test for fashion goods based on detailed analysis of the legal regulations in the USA and EU countries, specifically Italy, France, the Netherlands, Germany and Poland. The book will be of interest to researchers and academics working in the areas of Intellectual Property Law, Copyright Law, Business Law, Fashion Law and Design.
| Author | : Tsan-Ming Choi |
| Publisher | : Springer |
| Total Pages | : 274 |
| Release | : 2016-05-23 |
| Genre | : Business & Economics |
| ISBN | : 9811010145 |
This book includes both theoretical results and application cases of analytical modeling based research related to the fashion and textile business. It responds to calls for deeper theoretical foundations as an expansion of research methodology in a field that has to date mostly relied on case studies and empirical analysis. Although there are a growing number of related publications which employ an analytical approach in conducting theoretical and applied research in the fashion and textile business, this book fills an essential gap by providing a comprehensive reference source that introduces the methodology and provides state-of-the-art findings on the topic. Covering an important and well-established industry, Analytical Modeling Research in Fashion Business is a pioneering text and essential reading for researchers and practitioners in the fashion and textiles industry alike. /div
