Supply Chain Intelligence
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Supply Chain Intelligence
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Author : Kaushik Kumar
language : en
Publisher: Springer Nature
Release Date : 2020-05-15
Supply Chain Intelligence written by Kaushik Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-15 with Technology & Engineering categories.
The book provides an introduction to logistics and supply chain management and the application of evolutionary computation, focusing on specific fields related to supply chain issues, from strategic sourcing decisions, and production planning and control to inventory to logistics and its application using evolutionary / heuristics techniques. Bridging the gap between management research, decision-making and computer analysis, this interdisciplinary book features state-of-the-art descriptions of the corresponding problems and advanced methods for solving them.
Supply Market Intelligence
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Author : Robert Handfield
language : en
Publisher: CRC Press
Release Date : 2006-01-13
Supply Market Intelligence written by Robert Handfield and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-01-13 with Business & Economics categories.
Supply Market Intelligence: A Managerial Handbook for Building Sourcing Strategies charts the course to success for executives who are seeking to lead their organizations to supply-chain maturity. This volume is intended for supply-chain executives who struggle with the challenges of an uncertain supply market environment and whose supply chain function is constantly buffeted by unexpected changes in customer requirements and commodity prices. The author offers a more effective path, describing an integrated approach to supply chain management based upon solid market intelligence. This path is derived from the authors' multiple engagements with organizations such as Suncor Energy, Bank of America, Shell Oil, Honda of America, General Motors, Boston Scientific, Visteon, Federal Express, Sonoco, Duke Energy, Caterpillar, John Deere, GlaxoSmithKline, and many others. He emphasizes that the elements of a successful plan do not arise from a simple vision, instead they require much hard work and a focused approach backed by solid leadership. This book begins by defining supply market intelligence and discussing opportunities, the establishment of a project team, and conducting an internal business intelligence assessment. The book then examines the development of business and market intelligence, supplier evaluations, and sourcing strategies. It also explores how to execute a sourcing strategy, manage a strategic supplier relationship, and redesign an organization for effective supply-chain intelligence and strategic sourcing. This volume offers a benchmarking maturity model tool that covers all facets of end-to-end supply-chain management.
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.
Big Data Driven Supply Chain Management
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Author : Nada R. Sanders
language : en
Publisher: Pearson Education
Release Date : 2014-05-07
Big Data Driven Supply Chain Management written by Nada R. Sanders and has been published by Pearson Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-07 with Business & Economics categories.
Master a complete, five-step roadmap for leveraging Big Data and analytics to gain unprecedented competitive advantage from your supply chain. Using Big Data, pioneers such as Amazon, UPS, and Wal-Mart are gaining unprecedented mastery over their supply chains. They are achieving greater visibility into inventory levels, order fulfillment rates, material and product delivery… using predictive data analytics to match supply with demand; leveraging new planning strengths to optimize their sales channel strategies; optimizing supply chain strategy and competitive priorities; even launching powerful new ventures. Despite these opportunities, many supply chain operations are gaining limited or no value from Big Data. In Big Data Driven Supply Chain Management, Nada Sanders presents a systematic five-step framework for using Big Data in supply chains. You'll learn best practices for segmenting and analyzing customers, defining competitive priorities for each segment, aligning functions behind strategy, dissolving organizational boundaries to sense demand and make better decisions, and choose the right metrics to support all of this. Using these techniques, you can overcome the widespread obstacles to making the most of Big Data in your supply chain — and earn big profits from the data you're already generating. For all executives, managers, and analysts interested in using Big Data technologies to improve supply chain performance.
Computational Intelligence Techniques For Sustainable Supply Chain Management
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Author : Sanjoy Kumar Paul
language : en
Publisher: Elsevier
Release Date : 2024-06-03
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 2024-06-03 with Business & Economics categories.
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 techniques. This book focuses on addressing problems in advanced topics in the sustainable supply chain and will appeal to practitioners, managers, researchers, students, and professionals interested in sustainable logistics, procurement, manufacturing, inventory and production management, scheduling, transportation, and supply chain network design.
Our Quick Notes On Use Of Artificial Intelligence Ai In Supply Chain Management
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Author : Vivek Sood
language : en
Publisher: Global Supply Chain Group
Release Date : 2020-11-18
Our Quick Notes On Use Of Artificial Intelligence Ai In Supply Chain Management written by Vivek Sood and has been published by Global Supply Chain Group this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-18 with Business & Economics categories.
Part of our new "Quick Notes" series - this report answers your most pertinent questions of the topic. Do not be deceived by their short nature - these notes are only 22 pages or so. But these are 22 pages of potent dynamite that will supercharge your thinking in the right direction. Included are quick notes and some of the frequently asked questions (FAQs) on supply chain finance that we have encountered in our workshops, seminars, and other forums. Here are some of the topics and questions covered in these quick notes: What is Supply chain AI and why everyone is moving towards it? What is the advantage of integrating AI in a supply chain environment? What are the current applications of AI in SCM? What are the current trends in the field of AI which aid improvements in SCM? Which are the experimental models in AI meant for supply chain management? What is Supply chain AI and why everyone is moving towards it? What is the advantage of integrating AI in a supply chain environment? What are the current applications of AI in SCM? What are the current trends in the field of AI which aid improvements in SCM? Which are the experimental models in AI meant for supply chain management? What are the fully developed AI models that are currently used in the business environment? Out of the four stages of supply chain analytics - descriptive, diagnostic, predictive and prescriptive - which one has the most potential application of supply chain AI? How does the predictive nature of AI algorithms help in forecasting? What is the current cost reduction that AI brings into SCM? In this current ongoing COVID -19 crisis can we use AI to reduce the decision making time and to process huge amount of data. If yes how? What are the requirements for a company to incorporate the use of AI in its supply chain? What are the future trends that we need to look in AI? Which are the industries that can gain more from an AI-powered SCM? What is the role of the current ERP and DSS tools when deploying AI?
Financial Intelligence For Supply Chain Managers
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Author : Steven J. Leon
language : en
Publisher: FT Press
Release Date : 2015-11-17
Financial Intelligence For Supply Chain Managers written by Steven J. Leon and has been published by FT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-17 with Business & Economics categories.
Discover how your supply chain and operations work impacts financial performance, and how to align your efforts to help your company succeed — the fastest, best way to supercharge your own career! As a supply chain or operations professional, you may clearly understand your operational performance goals. But if you want to get promoted, you need to know how your day-to-day work powerfully impacts the financial metrics your top executives care about most.
Supply Market Intelligence
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Author : Robert Handfield
language : en
Publisher: Auerbach Publications
Release Date : 2006-01-13
Supply Market Intelligence written by Robert Handfield and has been published by Auerbach Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-01-13 with Business & Economics categories.
Supply Market Intelligence: A Managerial Handbook for Building Sourcing Strategies charts the course to success for executives who are seeking to lead their organizations to supply-chain maturity. This volume is intended for supply-chain executives who struggle with the challenges of an uncertain supply market environment and whose supply chain function is constantly buffeted by unexpected changes in customer requirements and commodity prices. The author offers a more effective path, describing an integrated approach to supply chain management based upon solid market intelligence. This path is derived from the authors' multiple engagements with organizations such as Suncor Energy, Bank of America, Shell Oil, Honda of America, General Motors, Boston Scientific, Visteon, Federal Express, Sonoco, Duke Energy, Caterpillar, John Deere, GlaxoSmithKline, and many others. He emphasizes that the elements of a successful plan do not arise from a simple vision, instead they require much hard work and a focused approach backed by solid leadership. This book begins by defining supply market intelligence and discussing opportunities, the establishment of a project team, and conducting an internal business intelligence assessment. The book then examines the development of business and market intelligence, supplier evaluations, and sourcing strategies. It also explores how to execute a sourcing strategy, manage a strategic supplier relationship, and redesign an organization for effective supply-chain intelligence and strategic sourcing. This volume offers a benchmarking maturity model tool that covers all facets of end-to-end supply-chain management.
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.
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