Intelligent Decision Making Models For Production And Retail Operations
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Intelligent Decision Making Models For Production And Retail Operations
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Author : Elliott Edling
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2016-08-02
Intelligent Decision Making Models For Production And Retail Operations written by Elliott Edling and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-02 with categories.
This book provides an overview of intelligent decision-making techniques and discusses their application in production and retail operations. Manufacturing and retail enterprises have stringent standards for using advanced and reliable techniques to improve decision-making processes, since these processes have significant effects on the performance of relevant operations and the entire supply chain. In recent years, researchers have been increasingly focusing attention on using intelligent techniques to solve various decision-making problems. The opening chapters provide an introduction to several commonly used intelligent techniques, such as genetic algorithm, harmony search, neural network and extreme learning machine.
Intelligent Decision Making Models For Production And Retail Operations
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Author : Zhaoxia Guo
language : en
Publisher: Springer
Release Date : 2016-06-27
Intelligent Decision Making Models For Production And Retail Operations written by Zhaoxia Guo and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-27 with Technology & Engineering categories.
This book provides an overview of intelligent decision-making techniques and discusses their application in production and retail operations. Manufacturing and retail enterprises have stringent standards for using advanced and reliable techniques to improve decision-making processes, since these processes have significant effects on the performance of relevant operations and the entire supply chain. In recent years, researchers have been increasingly focusing attention on using intelligent techniques to solve various decision-making problems. The opening chapters provide an introduction to several commonly used intelligent techniques, such as genetic algorithm, harmony search, neural network and extreme learning machine. The book then explores the use of these techniques for handling various production and retail decision-making problems, such as production planning and scheduling, assembly line balancing, and sales forecasting.
Intelligent Decision Making Models For Production And Retail Operations
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Author : Sandy Weedman
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2009-09-10
Intelligent Decision Making Models For Production And Retail Operations written by Sandy Weedman and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-10 with categories.
This book provides an overview of intelligent decision-making techniques and discusses their application in production and retail operations. Manufacturing and retail enterprises have stringent standards for using advanced and reliable techniques to improve decision-making processes, since these processes have significant effects on the performance of relevant operations and the entire supply chain. In recent years, researchers have been increasingly focusing attention on using intelligent techniques to solve various decision-making problems. The opening chapters provide an introduction to several commonly used intelligent techniques, such as genetic algorithm, harmony search, neural network and extreme learning machine. The book then explores the use of these techniques for handling various production and retail decision-making problems, such as production planning and scheduling, assembly line balancing, and sales forecasting.
Research Anthology On Decision Support Systems And Decision Management In Healthcare Business And Engineering
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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2021-05-28
Research Anthology On Decision Support Systems And Decision Management In Healthcare Business And Engineering written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-28 with Business & Economics categories.
Decision support systems (DSS) are widely touted for their effectiveness in aiding decision making, particularly across a wide and diverse range of industries including healthcare, business, and engineering applications. The concepts, principles, and theories of enhanced decision making are essential points of research as well as the exact methods, tools, and technologies being implemented in these industries. From both a standpoint of DSS interfaces, namely the design and development of these technologies, along with the implementations, including experiences and utilization of these tools, one can get a better sense of how exactly DSS has changed the face of decision making and management in multi-industry applications. Furthermore, the evaluation of the impact of these technologies is essential in moving forward in the future. The Research Anthology on Decision Support Systems and Decision Management in Healthcare, Business, and Engineering explores how decision support systems have been developed and implemented across diverse industries through perspectives on the technology, the utilizations of these tools, and from a decision management standpoint. The chapters will cover not only the interfaces, implementations, and functionality of these tools, but also the overall impacts they have had on the specific industries mentioned. This book also evaluates the effectiveness along with benefits and challenges of using DSS as well as the outlook for the future. This book is ideal for decision makers, IT consultants and specialists, software developers, design professionals, academicians, policymakers, researchers, professionals, and students interested in how DSS is being used in different industries.
Encyclopedia Of Organizational Knowledge Administration And Technology
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Author : Khosrow-Pour D.B.A., Mehdi
language : en
Publisher: IGI Global
Release Date : 2020-09-29
Encyclopedia Of Organizational Knowledge Administration And Technology written by Khosrow-Pour D.B.A., Mehdi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-29 with Business & Economics categories.
For any organization to be successful, it must operate in such a manner that knowledge and information, human resources, and technology are continually taken into consideration and managed effectively. Business concepts are always present regardless of the field or industry – in education, government, healthcare, not-for-profit, engineering, hospitality/tourism, among others. Maintaining organizational awareness and a strategic frame of mind is critical to meeting goals, gaining competitive advantage, and ultimately ensuring sustainability. The Encyclopedia of Organizational Knowledge, Administration, and Technology is an inaugural five-volume publication that offers 193 completely new and previously unpublished articles authored by leading experts on the latest concepts, issues, challenges, innovations, and opportunities covering all aspects of modern organizations. Moreover, it is comprised of content that highlights major breakthroughs, discoveries, and authoritative research results as they pertain to all aspects of organizational growth and development including methodologies that can help companies thrive and analytical tools that assess an organization’s internal health and performance. Insights are offered in key topics such as organizational structure, strategic leadership, information technology management, and business analytics, among others. The knowledge compiled in this publication is designed for entrepreneurs, managers, executives, investors, economic analysts, computer engineers, software programmers, human resource departments, and other industry professionals seeking to understand the latest tools to emerge from this field and who are looking to incorporate them in their practice. Additionally, academicians, researchers, and students in fields that include but are not limited to business, management science, organizational development, entrepreneurship, sociology, corporate psychology, computer science, and information technology will benefit from the research compiled within this publication.
Optimizing Decision Making In The Apparel Supply Chain Using Artificial Intelligence Ai
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Author : Calvin Wong
language : en
Publisher: Elsevier
Release Date : 2013-01-24
Optimizing Decision Making In The Apparel Supply Chain Using Artificial Intelligence Ai written by Calvin Wong and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-24 with Business & Economics categories.
Practitioners in apparel manufacturing and retailing enterprises in the fashion industry, ranging from senior to front line management, constantly face complex and critical decisions. There has been growing interest in the use of artificial intelligence (AI) techniques to enhance this process, and a number of AI techniques have already been successfully applied to apparel production and retailing. Optimizing decision making in the apparel supply chain using artificial intelligence (AI): From production to retail provides detailed coverage of these techniques, outlining how they are used to assist decision makers in tackling key supply chain problems. Key decision points in the apparel supply chain and the fundamentals of artificial intelligence techniques are the focus of the opening chapters, before the book proceeds to discuss the use of neural networks, genetic algorithms, fuzzy set theory and extreme learning machines for intelligent sales forecasting and intelligent product cross-selling systems. Helps the reader gain an understanding of the key decision points in the apparel supply chain Discusses the fundamentals of artificial intelligence techniques for apparel management techniques Considers the use of neural networks in selecting the location of apparel manufacturing plants
Fashion Supply Chain Management Using Radio Frequency Identification Rfid Technologies
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Author : Calvin Wong
language : en
Publisher: Elsevier
Release Date : 2014-02-16
Fashion Supply Chain Management Using Radio Frequency Identification Rfid Technologies written by Calvin Wong and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-02-16 with Business & Economics categories.
Fashion Supply Chain Management Using Radio Frequency Identification (RFID) Technologies looks at the application of RFID technologies in such areas as order allocation, garment manufacturing, product tracking, distribution and retail. As supply chains in the textiles and fashion industry become ever more complex and global, and as the shift to mass customization puts more pressure on a rapid and flexible response to customer needs, monitoring and improving supply chain efficiency in the industry becomes crucial. Radio frequency identification (RFID) technologies offer a unique opportunity to achieve these goals. This book reviews the role of RFID technologies in the textiles and fashion supply chain to improve distribution, process management and product tracking, garment manufacturing, and assembly line operations. It also explores how RFID technologies can improve order allocation in the supply chain, and how these technologies can also be used for intelligent apparel product cross-selling. Its chapters also discuss measuring the impact of RFID technologies in improving the efficiency of the textile supply chain, and modeling the effectiveness of RFID technologies in improving sales performance in fashion retail outlets. Fashion Supply Chain Management Using Radio Frequency Identification (RFID) Technologies is a comprehensive resource for academic researchers, industry managers, and professionals within the fashion industry. Looks at the application of RFID technologies in order allocation, garment manufacturing, product tracking, distribution, and retail Reviews RFID technologies in the textiles and fashion supply chain for improving distribution, process management and product tracking, garment manufacturing, and assembly line operations Focuses on measuring the impact of RFID technologies on efficiency, and modeling the effectiveness of RFID technologies in improving retail outlet sales
Applications Of Operational Research In Business And Industries
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Author : Angappa Gunasekaran
language : en
Publisher: Springer Nature
Release Date : 2023-05-21
Applications Of Operational Research In Business And Industries written by Angappa Gunasekaran and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-21 with Business & Economics categories.
Effective decision-making while trading off the constraints and conflicting multiple objectives under rapid technological developments, massive generation of data, and extreme volatility is of paramount importance to organizations to win over the time-based competition today. While agility is a crucial issue, the firms have been increasingly relying on evidence-based decision-making through intelligent decision support systems driven by computational intelligence and automation to achieve a competitive advantage. The decisions are no longer confined to a specific functional area. Instead, business organizations today find actionable insight for formulating future courses of action by integrating multiple objectives and perspectives. Therefore, multi-objective decision-making plays a critical role in businesses and industries. In this regard, the importance of Operations Research (OR) models and their applications enables the firms to derive optimum solutions subject to various constraints and/or objectives while considering multiple functional areas of the organizations together. Hence, researchers and practitioners have extensively applied OR models to solve various organizational issues related to manufacturing, service, supply chain and logistics management, human resource management, finance, and market analysis, among others. Further, OR models driven by AI have been enabled to provide intelligent decision-support frameworks for achieving sustainable development goals. The present issue provides a unique platform to showcase the contributions of the leading international experts on production systems and business from academia, industry, and government to discuss the issues in intelligent manufacturing, operations management, financial management, supply chain management, and Industry 4.0 in the Artificial Intelligence era. Some of the general (but not specific) scopes of this proceeding entail OR models such as Optimization and Control, Combinatorial Optimization, Queuing Theory, Resource Allocation Models, Linear and Nonlinear Programming Models, Multi-objective and multi-attribute Decision Models, Statistical Quality Control along with AI, Bayesian Data Analysis, Machine Learning and Econometrics and their applications vis-à-vis AI & Data-driven Production Management, Marketing and Retail Management, Financial Management, Human Resource Management, Operations Management, Smart Manufacturing & Industry 4.0, Supply Chain and Logistics Management, Digital Supply Network, Healthcare Administration, Inventory Management, consumer behavior, security analysis, and portfolio management and sustainability. The present issue shall be of interest to the faculty members, students, and scholars of various engineering and social science institutions and universities, along with the practitioners and policymakers of different industries and organizations.
Data Driven Business Intelligence Systems For Socio Technical Organizations
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Author : Keikhosrokiani, Pantea
language : en
Publisher: IGI Global
Release Date : 2024-04-09
Data Driven Business Intelligence Systems For Socio Technical Organizations written by Keikhosrokiani, Pantea and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-09 with Business & Economics categories.
The convergence of modern technology and social dynamics have shaped the very fabric of today’s organizations, making the role of Business Intelligence (BI) profoundly significant. Data-Driven Business Intelligence Systems for Socio-Technical Organizations delves into the heart of this transformative realm, offering an academic exploration of the tools, strategies, and methodologies that propel enterprises toward data-driven decision-making excellence. Socio-technical organizations, with their intricate interplay between human and technological components, require a unique approach to BI. This book embarks on a comprehensive journey, revealing how BI tools empower these entities to decipher the complexities of their data landscape. From user behavior to social interactions, technological systems to environmental factors, this work sheds light on the multifaceted sources of information that inform organizational strategies. Decision-makers within socio-technical organizations leverage BI insights to discern patterns, spot trends, and uncover correlations that influence operations and the intricate social dynamics within their entities. Research covering real-time monitoring and predictive analytics equips these organizations to respond swiftly to demands and anticipate future trends, harnessing the full potential of data. The book delves into their design, development, and architectural nuances, illuminating these concepts through case studies. This book is ideal for business executives, entrepreneurs, data analysts, marketers, government officials, educators, and researchers.
Predictive Intelligence Using Big Data And The Internet Of Things
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Author : Gupta, P.K.
language : en
Publisher: IGI Global
Release Date : 2018-12-28
Predictive Intelligence Using Big Data And The Internet Of Things written by Gupta, P.K. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-28 with Computers categories.
With the recent growth of big data and the internet of things (IoT), individuals can now upload, retrieve, store, and collect massive amounts of information to help drive decisions and optimize processes. Due to this, a new age of predictive computing is taking place, and data can now be harnessed to predict unknown occurrences or probabilities based on data collected in real time. Predictive Intelligence Using Big Data and the Internet of Things highlights state-of-the-art research on predictive intelligence using big data, the IoT, and related areas to ensure quality assurance and compatible IoT systems. Featuring coverage on predictive application scenarios to discuss these breakthroughs in real-world settings and various methods, frameworks, algorithms, and security concerns for predictive intelligence, this book is ideally designed for academicians, researchers, advanced-level students, and technology developers.