Computational Intelligence In Logistics And Supply Chain Management
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Computational Intelligence In Logistics And Supply Chain Management
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Author : Thomas Hanne
language : en
Publisher: Springer
Release Date : 2016-07-27
Computational Intelligence In Logistics And Supply Chain Management written by Thomas Hanne and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-27 with Business & Economics categories.
This book deals with complex problems in the fields of logistics and supply chain management and discusses advanced methods, especially from the field of computational intelligence (CI), for solving them. The first two chapters provide general introductions to logistics and supply chain management on the one hand, and to computational intelligence on the other hand. The subsequent chapters cover specific fields in logistics and supply chain management, work out the most relevant problems found in those fields, and discuss approaches for solving them. Chapter 3 discusses problems in the field of production and inventory management. Chapter 4 considers planning activities on a finer level of granularity which is usually denoted as scheduling. In chapter 5 problems in transportation planning such as different types of vehicle routing problems are considered. While chapters 3 to 5 rather discuss planning problems which appear on an operative level, chapter 6 discusses the strategic problem of designing a supply chain or network. The final chapter provides an overview of academic and commercial software and information systems for the discussed applications. There appears to be a gap between general textbooks on logistics and supply chain management and more specialized literature dealing with methods for computational intelligence, operations research, etc., for solving the complex operational problems in these fields. For readers, it is often difficult to proceed from introductory texts on logistics and supply chain management to the sophisticated literature which deals with the usage of advanced methods. This book fills this gap by providing state-of-the-art descriptions of the corresponding problems and suitable methods for solving them.
Advances In Computational Intelligence In Transport Logistics And Supply Chain Management
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Author : Andreas Fink
language : en
Publisher: Springer
Release Date : 2008-09-08
Advances In Computational Intelligence In Transport Logistics And Supply Chain Management written by Andreas Fink and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-08 with Technology & Engineering categories.
Logistics and supply chain management deal with managing the ?ow of goods or services within a company, from suppliers to customers, and along a supply chain where companies act as suppliers as well as customers. As transportation is at the heart of logistics, the design of tra?c and transportation networks combined with the routing of vehicles and goods on the networks are important and demanding planning tasks. The in?uence of transport, logistics, and s- ply chain management on the modern economy and society has been growing steadily over the last few decades. The worldwide division of labor, the conn- tion of distributed production centers, and the increased mobility of individuals lead to an increased demand for e?cient solutions to logistics and supply chain management problems. On the company level, e?cient and e?ective logistics and supply chain management are of critical importance for a company’s s- cessanditscompetitiveadvantage. Properperformanceofthelogisticsfunctions can contribute both to lower costs and to enhanced customer service. Computational Intelligence (CI) describes a set of methods and tools that often mimic biological or physical principles to solve problems that have been di?cult to solve by classical mathematics. CI embodies neural networks, fuzzy logic, evolutionary computation, local search, and machine learning approaches. Researchersthat workinthis areaoften comefromcomputer science,operations research,or mathematics, as well as from many di?erent engineering disciplines. Popular and successful CI methods for optimization and planning problems are heuristic optimization approaches such as evolutionary algorithms, local search methods, and other types of guided search methods.
Supply Chain Optimization Design And Management Advances And Intelligent Methods
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Author : Minis, Ioannis
language : en
Publisher: IGI Global
Release Date : 2010-12-31
Supply Chain Optimization Design And Management Advances And Intelligent Methods written by Minis, Ioannis and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-12-31 with Business & Economics categories.
Computational Intelligence (CI) is a term corresponding to a new generation of algorithmic methodologies in artificial intelligence, which combines elements of learning, adaptation, evolution and approximate (fuzzy) reasoning to create programs that can be considered intelligent. Supply Chain Optimization, Design, and Management: Advances and Intelligent Methods presents computational intelligence methods for addressing supply chain issues. Emphasis is given to techniques that provide effective solutions to complex supply chain problems and exhibit superior performance to other methods of operations research.
Computational Intelligence Techniques For Sustainable Supply Chain Management
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Author : Sanjoy Kumar Paul
language : en
Publisher: Elsevier
Release Date : 2024-06-01
Computational Intelligence Techniques For Sustainable Supply Chain Management written by Sanjoy Kumar Paul and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-01 with Computers categories.
Sustainable supply chain management involves integrating environmentally and financially viable practices into the complete supply chain lifecycle, from product design and development to material selection and sourcing, manufacturing, packaging, transportation, and distribution. A sustainable supply chain ensures balance between economic, social, and environmental performances – such as better assurance of human rights, ethical work practices, carbon footprint reduction, waste management, and resource efficiency. Computational Intelligence Techniques for Sustainable Supply Chain Management presents state-of-the-art computational intelligence techniques and applications for supply chain sustainability issues and logistic problems, filling the gap between general textbooks on sustainable supply chain management and more specialized literature dealing with methods for computational intelligence. This book focuses on addressing problems in advanced topics in the sustainable supply chain, and will appeal to practitioners, managers, researchers, academicians, students, and professionals interested in sustainable logistics, sustainable procurement, sustainable manufacturing, sustainable inventory and production management, sustainable scheduling, sustainable transportation, and sustainable network design. Serves as a reference on computational intelligence–enabled sustainable supply chains for graduate students in computer/data science, industrial engineering, industrial ecology, and business Explores key topics in sustainable supply chain informatics, that is, heuristics, metaheuristics, robotics, simulation, machine learning, big data analytics and artificial intelligence Provides a foundation for industry leaders and professionals to understand recent and cutting-edge methodologies and technologies in the domain of sustainable supply chain powered by computational intelligence techniques
Multiagent Based Supply Chain Management
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Author : Brahim Chaib-draa
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-10-11
Multiagent Based Supply Chain Management written by Brahim Chaib-draa and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-10-11 with Technology & Engineering categories.
This book takes a close look at recent progress in the field of supply chain management using agent technology and more specifically multiagent systems. Sixteen chapters are organized in four main parts: Introductory Papers; Multiagent Based Supply Chain Modeling; Collaboration and Coordination Between Agents in a Supply Chain; and Multiagent Based Supply Chain Management: Applications. The result is a comprehensive review of existing literature, and ideas for future research.
Artificial Intelligence In Supply Chain Management Opportunities And Risks Of Digitalisation
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Author : Johannes Hangl
language : en
Publisher: GRIN Verlag
Release Date : 2022-03-09
Artificial Intelligence In Supply Chain Management Opportunities And Risks Of Digitalisation written by Johannes Hangl and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-09 with Business & Economics categories.
Master's Thesis from the year 2020 in the subject Business economics - Supply, Production, Logistics, , language: English, abstract: Industrialisation has greatly changed people's lives since the eighteenth century. At that time, the focus of activities shifted from the physical to the cognitive. We are now in the fourth industrial revolution. Through the development of ever better artificial systems, more and more cognitive activities are being carried out by machines. But what exactly does artificial intelligence mean? What changes has it already created in supply chain management and what is still possible in the future? What are the risks associated with advancing digitalisation? In his publication, Johannes Hangl creates a comprehensive picture of the status of current and future developments as well as trends in the use of artificial intelligence. He shows what possibilities, effects, opportunities and risks it has for supply chain management. From the contents: - AI; - Internet of Things; - Logistics; - Cyber-Physical Systems
Data Analytics And Artificial Intelligence For Inventory And Supply Chain Management
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Author : Dinesh K. Sharma
language : en
Publisher: Springer Nature
Release Date : 2022-11-08
Data Analytics And Artificial Intelligence For Inventory And Supply Chain Management written by Dinesh K. Sharma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-08 with Business & Economics categories.
This book considers new analytics and AI approaches in the areas of inventory control, logistics, and supply chain management. It provides valuable insights for the retailers and managers to improve business operations and make more realistic and better decisions. It also offers a number of smartly designed strategies related to inventory control and supply chain management for the optimal ordering and delivery policies. The book further uses detailed models and AI computing approaches for demand forecasting to planning optimization and digital execution tracking. One of its key features is use of real-life examples, case studies, practical models to ensure adoption of new solutions, data analytics, and AI-lead automation methodologies are included.The book can be utilized by retailers and managers to improve business operations and make more accurate and realistic decisions. The AI-based solution, agnostic assessment, and strategy will support the companies for better alignment and inventory control and capabilities to create a strategic road map for supply chain and logistics. The book is also useful for postgraduate students, researchers, and corporate executives. It addresses novel solutions for inventory to real-world supply chain and logistics that retailers, practitioners, educators, and scholars will find useful. It provides the theoretical and applicable subject matters for the senior undergraduate and graduate students, researchers, practitioners, and professionals in the area of artificial intelligent computing and its applications in inventory and supply chain management, inventory control, and logistics.
Computational Intelligence For Modern Business Systems
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Author : Sandeep Kautish
language : en
Publisher: Springer Nature
Release Date : 2023-12-05
Computational Intelligence For Modern Business Systems written by Sandeep Kautish and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-05 with Technology & Engineering categories.
This book covers the applications of computational intelligence techniques in business systems and advocates how these techniques are useful in modern business operations. The book redefines the computational intelligence foundations, the three pillars - neural networks, evolutionary computation, and fuzzy systems. It also discusses emerging areas such as swarm intelligence, artificial immune systems (AIS), support vector machines, rough sets, and chaotic systems. The other areas have also been demystified in the book to strengthen the range of computational intelligence techniques such as expert systems, knowledge-based systems, and genetic algorithms. Therefore, this book will redefine the role of computational intelligence techniques in modern business system operations such as marketing, finance & accounts, operations, personnel management, supply chain management, and logistics. Besides, this book guides the readers through using them to model, discover, and interpret new patterns that cannot be found through statistical methods alone in various business system operations. This book reveals how computational intelligence can inform the design and integration of services, architecture, brand identity, and product portfolio across the entire enterprise. The book will provide insights into research gaps, open challenges, and unsolved computational intelligence problems. The book will act as a premier reference and instant material for all the users who are contributing/practicing the adaptation of computational intelligence modern techniques in business systems.
Logistics And Supply Chain Management With Artificial Intelligence Techniques
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Author :
language : en
Publisher:
Release Date : 2004
Logistics And Supply Chain Management With Artificial Intelligence Techniques written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Business logistics categories.
Artificial Intelligent Techniques For Wireless Communication And Networking
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Author : R. Kanthavel
language : en
Publisher: John Wiley & Sons
Release Date : 2022-02-24
Artificial Intelligent Techniques For Wireless Communication And Networking written by R. Kanthavel and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-24 with Computers categories.
ARTIFICIAL INTELLIGENT TECHNIQUES FOR WIRELESS COMMUNICATION AND NETWORKING The 20 chapters address AI principles and techniques used in wireless communication and networking and outline their benefit, function, and future role in the field. Wireless communication and networking based on AI concepts and techniques are explored in this book, specifically focusing on the current research in the field by highlighting empirical results along with theoretical concepts. The possibility of applying AI mechanisms towards security aspects in the communication domain is elaborated; also explored is the application side of integrated technologies that enhance AI-based innovations, insights, intelligent predictions, cost optimization, inventory management, identification processes, classification mechanisms, cooperative spectrum sensing techniques, ad-hoc network architecture, and protocol and simulation-based environments. Audience Researchers, industry IT engineers, and graduate students working on and implementing AI-based wireless sensor networks, 5G, IoT, deep learning, reinforcement learning, and robotics in WSN, and related technologies.