Data Driven Technologies And Artificial Intelligence In Supply Chain
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Data Driven Technologies And Artificial Intelligence In Supply Chain
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Author : Mahesh Chand
language : en
Publisher: CRC Press
Release Date : 2023-11-22
Data Driven Technologies And Artificial Intelligence In Supply Chain written by Mahesh Chand and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-22 with Technology & Engineering categories.
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.
Ai And Machine Learning Impacts In Intelligent Supply Chain
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Author : Pandey, Binay Kumar
language : en
Publisher: IGI Global
Release Date : 2024-01-29
Ai And Machine Learning Impacts In Intelligent Supply Chain written by Pandey, Binay Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-29 with Business & Economics categories.
Businesses are facing an unprecedented challenge - the urgent need to adapt and thrive in a world where intelligent factories and supply chains are the new norm. The digital transformation of supply chains is essential for staying competitive, but it is a complex journey fraught with uncertainties. How can organizations harness the power of emerging technologies like Artificial Intelligence (AI) and Machine Learning (ML) to increase profitability, cut supply chain costs, elevate customer service, and optimize their networks? The answers to these questions are crucial for business survival and success. AI and Machine Learning Impacts in Intelligent Supply Chain is a groundbreaking book that offers a comprehensive solution to the challenges posed by the Industry 4.0 revolution. This book is your indispensable guide to navigating the intricate world of supply chain digital transformation using innovative technologies. It provides real-world examples and insights that illustrate how AI and ML are the keys to solving complex supply chain problems, from inventory management to route optimization and beyond. Whether you are an academic scholar seeking to delve into the impact of AI and ML on supply chain management or a business leader striving to gain a competitive edge, this book is tailored to meet your needs.
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.
Utilization Of Ai Technology In Supply Chain Management
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Author : Pandey, Digvijay
language : en
Publisher: IGI Global
Release Date : 2024-03-01
Utilization Of Ai Technology In Supply Chain Management written by Pandey, Digvijay and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-01 with Business & Economics categories.
The surge in digital transformation and the integration of innovative technologies into manufacturing processes have given rise to a pressing issue in supply chain management. Businesses are in dire need of solutions to navigate this complexity and harness the true potential of intelligent supply chains. Utilization of AI Technology in Supply Chain Management is a comprehensive guide tailored for academic scholars seeking to unravel the mysteries of artificial intelligence (AI) and machine learning (ML) in the context of supply chain management. Amid the hype surrounding AI and ML, there exists a critical need to bridge the gap between human expertise and technological advancements. Utilization of AI Technology in Supply Chain Management addresses this necessity by delving into real-world instances where teams have successfully employed these innovative technologies to enhance supply chain performance, reduce inventory, and optimize routes. The adoption of AI and ML is not just a trend; it is the cornerstone of digital acceleration initiatives, making it imperative for scholars to understand and leverage these technologies effectively.
Ai In Supply Chain And Logistics
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Author : Prakash Kumar Udupi
language : en
Publisher: Independently Published
Release Date : 2023-11-12
Ai In Supply Chain And Logistics written by Prakash Kumar Udupi and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-12 with categories.
The symbiotic relationship between artificial Intelligence, supply chain and logistics transformed the way we are doing business into newer directions. The integration of advanced technologies, data-driven approaches, and machine learning algorithms enabled a new era of business transformations with efficiency, agility and competitiveness within the global marketplace. This book helps the reader to explore the ever evolving landscape of AI within the supply chain and logistics domain. The purpose is to untangle the multi-dimensional ways, in which artificial intelligence revolutionizes these supply chain and logistic domains. This helps the readers to understand traditional methodologies and enables them to navigate complex organizational challenges pertaining to artificial intelligence, supply chain and logistics. Supply chain and logistics are the lifeblood of global commerce, that connects interconnecting suppliers, manufacturers, distributors, retailers, and end consumers. The dynamic nature of these interconnected networks necessitates adaptability, responsiveness, and precision driven by AI unwinds the newer ways of enhancing supply chain and logistic businesses. From predictive analytics for optimizing inventory management to autonomous vehicles for streamlining transportation, AI is catalyzing a paradigm shift in how businesses strategize, operate, and deliver value. This book covers a wide spectrum of topics including but not limited to predictive demand forecasting, route optimization, warehouse automation, risk management, and the ethical considerations surrounding AI adoption in these domains. As the AI and supply chain landscape continually evolves and becomes challengeable, this book aims to be a guiding light for professionals, enthusiasts and researchers, who would like to further explore the transformative potential of AI within supply chain and logistics. Further, this book serves as a compass to navigate that arise due to integration of AI into various critical sectors of supply chain and logistics. We hope this book will provide illuminating path towards harnessing the true potential of AI in shaping a more efficient, resilient, and sustainable future for supply chain and logistics.
Blockchain Iot And Ai Technologies For Supply Chain Management
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Author : Priyanka Chawla
language : en
Publisher: CRC Press
Release Date : 2023-05-05
Blockchain Iot And Ai Technologies For Supply Chain Management written by Priyanka Chawla and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-05 with Computers categories.
Supply chain management, often known as SCM, refers to the extensive variety of operations that are required to plan, monitor, and coordinate the movement of a product from its raw materials to its finished state in the most time- and money-efficient manner possible. How the supply chain is managed has an impact not only on the quality of the product and the service but also on the distribution, costs, and overall customer experience. Supply chain management is a massive undertaking that needs firms to reevaluate the method in which they operate their supply chains. Blockchain, IoT, and AI Technologies for Supply Chain Management discusses the problems and difficulties that the facilitators of the supply chain confront, in addition to the possible solutions to such problems and difficulties. This book will be the only one of its kind to address the impact of COVID-19 on supply chain systems involving different stakeholders such as producers, dealers, and manufacturers and will provide a foundation for future research opportunities that will allow for the unrestricted expansion and prosperity of business. It will serve as a foundation for academics, scientists, and educationists interested in the use of modern technologies in the field of supply chain management, such as the Internet of Things (IoT), Artificial Intelligence (AI), and Blockchain. In addition to those engaged in research, undergraduate and postgraduate students in higher education can also use this publication as a reference book. This book also presents a multifaceted perspective for the general public, including topics such as computer science, the food business, hotel management, fashion, medical, inventory management, and agricultural spheres.
Digital Supply Networks Transform Your Supply Chain And Gain Competitive Advantage With Disruptive Technology And Reimagined Processes
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Author : Amit Sinha
language : en
Publisher: McGraw Hill Professional
Release Date : 2020-07-21
Digital Supply Networks Transform Your Supply Chain And Gain Competitive Advantage With Disruptive Technology And Reimagined Processes written by Amit Sinha and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-21 with Business & Economics categories.
Deliver unprecedented customer value and seize your competitive edge with a transformative digital supply network Digital tech has disrupted life and business as we know it, and supply chain management is no exception. But how exactly does digital transformation affect your business? What are the breakthrough technologies and their capabilities you need to know about? How will digital transformation impact skills requirements and work in general? Do you need to completely revamp your understanding of supply chain management? And most importantly: How do you get started? Digital Supply Networks provides clear answers to these and many other questions. Written by an experienced team comprised of Deloitte consultants and leading problem-driven scholars from a premier research university, this expert guide leads you through the process of improving operations building supply networks, increasing revenue, reimagining business models, and providing added value to customers, stakeholders, and society. You’ll learn everything you need to know about: Stages of development, roles, capabilities, and the benefits of DSN Big data analytics including its attributes, security, and authority Machine learning, Artificial Intelligence, Blockchain, robotics, and the Internet of Things Synchronized planning, intelligent supply, and digital product development Vision, attributes, technology, and benefits of smart manufacturing, dynamic logistics, and fulfillment A playbook to guide the digital transformation journey Drawing from real world-experience and problem-driven academic research, the authors provide an in-depth account of the transformation to digitally connected supply networks. They discuss the limitations of traditional supply chains and the underlying capabilities and potential of digitally-enabled supply flows. The chapters burst with expert insights and real-life use cases grounded in tomorrow’s industry needs. Success in today’s hyper-competitive, fast-paced business landscape, characterized by the risk of black swan events, such as the 2020 COVID-19 global pandemic, requires the reimagination and the digitalization of complex demand-supply systems, more collaborative and connected processes, and smarter, more dynamic data-driven decision making―which can only be achieved through a fully integrated Digital Supply Network.
Using Real Time Data And Ai For Thrust Manufacturing
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Author : Satishkumar, D.
language : en
Publisher: IGI Global
Release Date : 2024-03-28
Using Real Time Data And Ai For Thrust Manufacturing written by Satishkumar, D. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-28 with Computers categories.
In the dynamic world of manufacturing, the industry has grappled with ongoing issues such as expensive machine maintenance, operational inefficiencies, and the production of defective products. The need for informed decision-making to maintain quality, meet deadlines, and prevent disruptions is more crucial than ever. Enter Using Real-Time Data and AI for Thrust Manufacturing, a groundbreaking book that addresses these challenges head-on. As Industry 4.0 transforms the manufacturing sector through the integration of the Internet of Things (IoT) and artificial intelligence (AI), this book serves as a beacon for academic scholars and industry professionals alike, offering profound insights into the world of AI-driven industry solutions. The objective of this book is clearto revolutionize the manufacturing sector by leveraging human expertise and AI-driven data technologies. By delving into the realms of Industry 4.0, IoT, and AI, the book systematically tackles issues such as costly downtime, inefficient processes, and the production of substandard products. With a focus on turning raw data into meaningful insights, the book explores AI applications like machine learning and deep learning, natural language processing, and machine vision. From predictive maintenance to improved demand forecasting, quality assurance, inspection, and warehouse automation, the book positions AI as the linchpin of "Industry 4.0," ensuring not only cost savings but also safety improvements and supply-chain efficiencies.
Demand Driven Inventory Optimization And Replenishment
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Author : Robert A. Davis
language : en
Publisher: John Wiley & Sons
Release Date : 2015-12-21
Demand Driven Inventory Optimization And Replenishment written by Robert A. Davis 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 2015-12-21 with Business & Economics categories.
Remove built-in supply chain weak points to more effectively balance supply and demand Demand-Driven Inventory Optimization and Replenishment shows how companies can support supply chain metrics and business initiatives by removing the weak points built into their inventory systems. Beginning with a thorough examination of Just in Time, Efficient Consumer Response, and Collaborative Forecasting, Planning, and Replenishment, this book walks you through the mathematical shortcuts set up in your management system that prevent you from attaining supply chain excellence. This expanded second edition includes new coverage of inventory performance, business verticals, business initiatives, and metrics, alongside case studies that illustrate how optimized inventory and replenishment delivers results across retail, high-tech, men's clothing, and food sectors. Inventory optimization allows you to avoid out-of-stock situations without impacting the bottom line with excessive inventory maintenance. By keeping just the right amount of inventory on hand, your company is better able to meet demand without sacrificing the cost-effectiveness of other supply chain strategies. The trick, however, is determining "just the right amount"—and this book provides the background and practical guidance you need to do just that. Examine the major supply chain strategies of the last 30 years Remove the shortcuts that prohibit supply chain excellence Optimize your supply/demand balance in any vertical Overcome systemic weaknesses to strengthen the bottom line Inventory optimization is benefitting companies around the world, as exemplified here by case studies involving Matas, PWT, Wistron, and Amway. When inefficiencies are built into the system, it's only smart business to identify and remove them—and implement a new streamlined process that runs like a well-oiled machine. Demand-Driven Inventory Optimization and Replenishment is an essential resource for exceptional supply chain management.
Big Data Analytics In Smart Manufacturing
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Author : P Suresh
language : en
Publisher: CRC Press
Release Date : 2022-12-14
Big Data Analytics In Smart Manufacturing written by P Suresh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-14 with Computers categories.
The significant objective of this edited book is to bridge the gap between smart manufacturing and big data by exploring the challenges and limitations. Companies employ big data technology in the manufacturing field to acquire data about the products. Manufacturing companies could gain a deep business insight by tracking customer details, monitoring fuel consumption, detecting product defects, and supply chain management. Moreover, the convergence of smart manufacturing and big data analytics currently suffers due to data privacy concern, short of qualified personnel, inadequate investment, long-term storage management of high-quality data. The technological advancement makes the data storage more accessible, cheaper and the convergence of these technologies seems to be more promising in the recent era. This book identified the innovative challenges in the industrial domains by integrating heterogeneous data sources such as structured data, semi-structures data, geo-spatial data, textual information, multimedia data, social networking data, etc. It promotes data-driven business modelling processes by adopting big data technologies in the manufacturing industry. Big data analytics is emerging as a promising discipline in the manufacturing industry to build the rigid industrial data platforms. Moreover, big data facilitates process automation in the complete lifecycle of product design and tracking. This book is an essential guide and reference since it synthesizes interdisciplinary theoretical concepts, definitions, and models, involved in smart manufacturing domain. It also provides real-world scenarios and applications, making it accessible to a wider interdisciplinary audience. Features The readers will get an overview about the smart manufacturing system which enables optimized manufacturing processes and benefits the users by increasing overall profit. The researchers will get insight about how the big data technology leverages in finding new associations, factors and patterns through data stream observations in real time smart manufacturing systems. The industrialist can get an overview about the detection of defects in design, rapid response to market, innovative products to meet the customer requirement which can benefit their per capita income in better way. Discusses technical viewpoints, concepts, theories, and underlying assumptions that are used in smart manufacturing. Information delivered in a user-friendly manner for students, researchers, industrial experts, and business innovators, as well as for professionals and practitioners.