Computational Intelligence Techniques For Sustainable Supply Chain Management

Author : Sanjoy Kumar Paul,Sandeep Kautish
Publisher : Elsevier
Page : 470 pages
File Size : 49,8 Mb
Release : 2024-06-03
Category : Computers
ISBN : 9780443184659

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Computational Intelligence Techniques for Sustainable Supply Chain Management by Sanjoy Kumar Paul,Sandeep Kautish Pdf

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

Author : Thomas Hanne,Rolf Dornberger
Publisher : Springer
Page : 176 pages
File Size : 40,6 Mb
Release : 2016-07-27
Category : Business & Economics
ISBN : 9783319407227

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Computational Intelligence in Logistics and Supply Chain Management by Thomas Hanne,Rolf Dornberger Pdf

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.

Author : Minis, Ioannis,Zeimpekis, Vasileios,Dounias, Georgios,Ampazis, Nicholas
Publisher : IGI Global
Page : 338 pages
File Size : 40,7 Mb
Release : 2010-12-31
Category : Business & Economics
ISBN : 9781615206346

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Supply Chain Optimization, Design, and Management: Advances and Intelligent Methods by Minis, Ioannis,Zeimpekis, Vasileios,Dounias, Georgios,Ampazis, Nicholas Pdf

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.

Author : Turan Paksoy,Muhammet Deveci
Publisher : CRC Press
Page : 428 pages
File Size : 55,9 Mb
Release : 2023-03-08
Category : Business & Economics
ISBN : 9781000846904

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Smart and Sustainable Operations and Supply Chain Management in Industry 4.0 by Turan Paksoy,Muhammet Deveci Pdf

Smart applications are transforming conventional supply chains into digital ones. To compete in today’s competitive market, organizations must utilize the merits of the Fourth Industrial Revolution while being sustainable, lean, and eco-conscious. Smart and Sustainable Operations and Supply Chain Management in Industry 4.0 closes the gap and provides novel ideas, research, and applications. This book discusses smart and sustainable supply chain management concepts that are analyzed within the Industry 4.0 perspective. It also highlights green systems and smart applications within an Industry 4.0 setting. The book presents the latest technological developments, including disruptive technologies and their impact on smart and sustainable supply chains under the triple bottom line approach. For easy reader comprehension, each chapter will include a case study, a related problem, or a numerical example, as well as the solution. This book is written for academicians, practitioners, PhD students, and researchers involved in this area.

Author : Andreas Fink,Franz Rothlauf
Publisher : Springer Science & Business Media
Page : 280 pages
File Size : 52,9 Mb
Release : 2008
Category : Computers
ISBN : 9783540690245

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Advances in Computational Intelligence in Transport, Logistics, and Supply Chain Management by Andreas Fink,Franz Rothlauf Pdf

The book at hand presents a careful selection of relevant applications of CI methods for transport, logistics, and supply chain management problems. The chapters illustrate the current state-of-the-art in the application of CI methods in these fields and should help and inspire researchers and practitioners to apply and develop efficient methods. A few contributions in this book are extended versions of papers presented at EvoTransLog2007: The First European Workshop on Evolutionary Computation in Transportation and Logistics which was held in Valencia, Spain, in 2007. The majority of contributions are from additional, specially selected researchers, who have done relevant work in different areas of transport, logistics, and supply chain management. The goal is to broadly cover representative applications in these fields as well as different types of solution approaches. On the application side, the contributions focus on design of traffic and transportation networks, vehicle routing, and other important aspects of supply chain management such as inventory management, lot sizing, and lot scheduling. On the method side, the contributions deal with evolutionary algorithms, local search approaches, and scatter search combined with other CI techniques such as neural networks or fuzzy approaches. The book is structured according to the application domains. Thus, it has three parts dealing with traffic and transportation networks, vehicle routing, and supply chain management.

Author : Sandeep Kautish,Prasenjit Chatterjee,Dragan Pamucar,N. Pradeep,Deepmala Singh
Publisher : Springer Nature
Page : 523 pages
File Size : 40,6 Mb
Release : 2023-12-05
Category : Technology & Engineering
ISBN : 9789819953547

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Computational Intelligence for Modern Business Systems by Sandeep Kautish,Prasenjit Chatterjee,Dragan Pamucar,N. Pradeep,Deepmala Singh Pdf

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.

Author : Mahesh Chand,Vineet Jain,Puneeta Ajmera
Publisher : CRC Press
Page : 291 pages
File Size : 50,8 Mb
Release : 2023-11-23
Category : Computers
ISBN : 9781003800996

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Data-Driven Technologies and Artificial Intelligence in Supply Chain by Mahesh Chand,Vineet Jain,Puneeta Ajmera Pdf

This book highlights the importance of data-driven technologies and artificial intelligence in supply chain management. It covers important concepts such as enabling technologies in Industry 4.0, the impact of artificial intelligence, and data-driven technologies in lean manufacturing. "Provides solutions to solve complex supply chain management issues using artificial intelligence and data-driven technologies" Emphasizes the impact of a data-driven supply chain on quality management "Discusses applications of artificial intelligence, and data-driven technologies in the service industry, and lean manufacturing" Highlights the barriers to implementing artificial intelligence in small and medium enterprises Presents a better understanding of different risks such as procurement risks, process risks, demand risks, transportation risks, and operational risks The book comprehensively discusses the applications of artificial intelligence and data-driven technologies in supply chain management for diverse fields such as service industries, manufacturing industries, and healthcare. It further covers the impact of artificial intelligence and data-driven technologies in managing the FMGC supply chain. It will be a valuable resource for senior undergraduate, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, industrial engineering, manufacturing engineering, production engineering, and computer engineering.

Author : Paulina Golinska-Dawson,Kune-Muh Tsai,Karolina Werner-Lewandowska
Publisher : Springer Nature
Page : 282 pages
File Size : 48,9 Mb
Release : 2023-01-25
Category : Technology & Engineering
ISBN : 9783031154126

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Smart and Sustainable Supply Chain and Logistics — Challenges, Methods and Best Practices by Paulina Golinska-Dawson,Kune-Muh Tsai,Karolina Werner-Lewandowska Pdf

The application of artificial intelligence methods and the increasing digitalization of the processes in a supply chain contribute the more seamless flow of materials and information. The disturbances in global supply chain during pandemic put pressure on companies to improve the existing operations. The Sustainable Development Goals put pressure on local and global markets to reduce carbon dioxide emissions and to implement a more resource-efficient business model. Integration of physical and cyber systems is necessary to achieve more environmentally friendly, efficient logistics and supply chain operations. This book presents the contemporary issues of sustainability and integration of physical and information flow in supply chain. In the individual chapters, the authors discuss new qualitative and qualitative theoretic methods, models and present case studies from business practice. This book might be a valuable source of knowledge for the academics, PhD students and practitioners to deepen their knowledge in the field of logistics and SCM.

Author : Brahim Chaib-draa,Jörg Müller
Publisher : Springer Science & Business Media
Page : 440 pages
File Size : 49,7 Mb
Release : 2006-10-11
Category : Technology & Engineering
ISBN : 9783540338765

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Multiagent based Supply Chain Management by Brahim Chaib-draa,Jörg Müller Pdf

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.

Author : Mohamed Lahby,Ala Al-Fuqaha,Yassine Maleh
Publisher : Springer Nature
Page : 418 pages
File Size : 47,9 Mb
Release : 2022-04-22
Category : Science
ISBN : 9783030964290

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Computational Intelligence Techniques for Green Smart Cities by Mohamed Lahby,Ala Al-Fuqaha,Yassine Maleh Pdf

This book contains high-quality and original research on computational intelligence for green smart cities research. In recent years, the use of smart city technology has rapidly increased through the successful development and deployment of Internet of Things (IoT) architectures. The citizens' quality of life has been improved in several sensitive areas of the city, such as transportation, buildings, health care, education, environment, and security, thanks to these technological advances Computational intelligence techniques and algorithms enable a computational analysis of enormous data sets to reveal patterns that recur. This information is used to inform and improve decision-making at the municipal level to build smart computational intelligence techniques and sustainable cities for their citizens. Machine intelligence allows us to identify trends (patterns). The smart city could better integrate its transportation network, for example. By offering a better public transportation network adapted to the demand, we could reduce personal vehicles and energy consumption. A smart city could use models to predict the consequences of a change, such as pedestrianizing a street or adding a bike lane. A city can even create a 3D digital twin to test hypothetical projects. This book comprises many state-of-the-art contributions from scientists and practitioners working in machine intelligence and green smart cities. It aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this area or those interested in grasping its diverse facets and exploring the latest advances in machine intelligence for green and sustainable smart city applications.

Author : Anonim
Publisher : Unknown
Page : 0 pages
File Size : 40,7 Mb
Release : 2004
Category : Business logistics
ISBN : OCLC:1289423613

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Logistics and Supply Chain Management with Artificial Intelligence Techniques by Anonim Pdf

Author : Ting Yu,Nitesh Chawla,Simeon Simoff
Publisher : CRC Press
Page : 443 pages
File Size : 40,6 Mb
Release : 2016-04-19
Category : Business & Economics
ISBN : 9781439895955

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Computational Intelligent Data Analysis for Sustainable Development by Ting Yu,Nitesh Chawla,Simeon Simoff Pdf

Going beyond performing simple analyses, researchers involved in the highly dynamic field of computational intelligent data analysis design algorithms that solve increasingly complex data problems in changing environments, including economic, environmental, and social data. Computational Intelligent Data Analysis for Sustainable Development present

Author : H. Anandakumar,R. Arulmurugan,Chow Chee Onn
Publisher : Springer
Page : 304 pages
File Size : 45,8 Mb
Release : 2018-12-14
Category : Technology & Engineering
ISBN : 9783030026745

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Computational Intelligence and Sustainable Systems by H. Anandakumar,R. Arulmurugan,Chow Chee Onn Pdf

This book features research related to computational intelligence and energy and thermal aware management of computing resources. The authors publish original and timely research in current areas of power, energy, temperature, and environmental engineering as and advances in computational intelligence that are benefiting the fields. Topics include signal processing architectures, algorithms, and applications; biomedical informatics and computation; artificial intelligence and machine learning; green technologies in information; and more. The book includes contributions from a wide range of researchers, academicians, and industry professionals. The book is made up both of extended papers presented at the International Conference on Intelligent Computing and Sustainable System (ICICSS 2018), September 20-21, 2018, and other accepted papers on R&D and original research work related to the practice and theory of technologies to enable and support Intelligent Computing applications.

Author : Katrin Bergener,Michael Räckers,Armin Stein
Publisher : Springer
Page : 536 pages
File Size : 42,8 Mb
Release : 2019-01-25
Category : Computers
ISBN : 9783030062347

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The Art of Structuring by Katrin Bergener,Michael Räckers,Armin Stein Pdf

Structuring, or, as it is referred to in the title of this book, the art of structuring, is one of the core elements in the discipline of Information Systems. While the world is becoming increasingly complex, and a growing number of disciplines are evolving to help make it a better place, structure is what is needed in order to understand and combine the various perspectives and approaches involved. Structure is the essential component that allows us to bridge the gaps between these different worlds, and offers a medium for communication and exchange. The contributions in this book build these bridges, which are vital in order to communicate between different worlds of thought and methodology – be it between Information Systems (IS) research and practice, or between IS research and other research disciplines. They describe how structuring can be and should be done so as to foster communication and collaboration. The topics covered reflect various layers of structure that can serve as bridges: models, processes, data, organizations, and technologies. In turn, these aspects are complemented by visionary outlooks on how structure influences the field.

Author : Dinesh K. Sharma,Madhu Jain
Publisher : Springer Nature
Page : 293 pages
File Size : 53,5 Mb
Release : 2022-11-08
Category : Business & Economics
ISBN : 9789811963377

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Data Analytics and Artificial Intelligence for Inventory and Supply Chain Management by Dinesh K. Sharma,Madhu Jain Pdf

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.