Data Analytics And Artificial Intelligence For Inventory And Supply Chain Management

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Data Analytics and Artificial Intelligence for Inventory and Supply Chain Management

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

Author : Dinesh K. Sharma,Madhu Jain
Publisher : Springer Nature
Page : 293 pages
File Size : 55,7 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.

Data-Driven Technologies and Artificial Intelligence in Supply Chain

Mahesh Chand,Vineet Jain,Puneeta Ajmera
Data Driven Technologies and Artificial Intelligence in Supply Chain Book PDF

Author : Mahesh Chand,Vineet Jain,Puneeta Ajmera
Publisher : CRC Press
Page : 319 pages
File Size : 40,8 Mb
Release : 2023-11-22
Category : Technology & Engineering
ISBN : 9781003802396

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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.

AI and Machine Learning Impacts in Intelligent Supply Chain

Pandey, Binay Kumar,Kanike, Uday Kumar,George, A. Shaji,Pandey, Digvijay
AI and Machine Learning Impacts in Intelligent Supply Chain Book PDF

Author : Pandey, Binay Kumar,Kanike, Uday Kumar,George, A. Shaji,Pandey, Digvijay
Publisher : IGI Global
Page : 335 pages
File Size : 49,8 Mb
Release : 2024-01-29
Category : Business & Economics
ISBN : 9798369313480

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AI and Machine Learning Impacts in Intelligent Supply Chain by Pandey, Binay Kumar,Kanike, Uday Kumar,George, A. Shaji,Pandey, Digvijay Pdf

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.

Artificial Intelligence in Supply Chain Management

Calvin Klein
Artificial Intelligence in Supply Chain Management Book PDF

Author : Calvin Klein
Publisher : Cuvillier Verlag
Page : 95 pages
File Size : 43,9 Mb
Release : 2023-10-06
Category : Electronic
ISBN : 9783736968813

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Artificial Intelligence in Supply Chain Management by Calvin Klein Pdf

As Artificial Intelligence (AI) continues to revolutionize industries worldwide, its omnipresence becomes increasingly evident in Supply Chain Management (SCM). This Consortium Study, conducted by the Institute of Supply Chain Management (ISCMHSG) at the University of St.Gallen and its promotional association, examines the integration of AI in SCM and aims to address the gap between expectations and reality. The study provides a knowledge foundation to assist supply chain managers in developingrealistic expectations of this technology. Considering the rapid advancement of AI technologies and their potential impact on SCM, this study explores the current state of AI in SCM and analyzes the disparity between expectations and reality. Through a comprehensive market analysis of AI solutions offered in SCM, opportunities for improvement are identified. The study focuses on aligning expectations and reality by fostering a better understanding of the capabilities of AI in SCM. Additionally, the study investigates obstacles to successful AI integration, including data quality, integration challenges, and unrealistic expectations of potential benefits. Through the collaborative efforts of the participating organizations, this Consortium Study offers a collective understanding of the current state of AI in SCM. It serves as a valuable resource for industry professionals, and academia facilitating the successful integration of AI and driving operational excellence in SCM.

Innovative Supply Chain Management via Digitalization and Artificial Intelligence

Kumaresan Perumal,Chiranji Lal Chowdhary,Logan Chella
Innovative Supply Chain Management via Digitalization and Artificial Intelligence Book PDF

Author : Kumaresan Perumal,Chiranji Lal Chowdhary,Logan Chella
Publisher : Springer Nature
Page : 208 pages
File Size : 41,6 Mb
Release : 2022-04-06
Category : Computers
ISBN : 9789811902406

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Innovative Supply Chain Management via Digitalization and Artificial Intelligence by Kumaresan Perumal,Chiranji Lal Chowdhary,Logan Chella Pdf

This book focuses on the impact of artificial intelligence (AI) and machine learning (ML) models on supply chain operations in industry 4.0. The chapters illustrate the AI and ML models for all functional areas of operations in SCM. The book also includes examples using ML models like handling supply-to-demand imbalances, triggering automated responses, and reinforcing customer relationships. It describes the evolution of blockchain technology coupled with the ability to automate business logic for the transparency of goods, infrastructure, products, and licenses in software. The book also includes case studies that provide a problem statement and industry overcome by applying ML and AI technologies. This book is suitable for undergraduates, postgraduates, industrial professionals, business executives, entrepreneurs, and freelancers to encourage practical learning on AI and ML algorithms in SCM 4.0. Additionally, this book will provide computer science and information system professionals with the latest technologies embedded in the corporate world.

Big Data Analytics in Supply Chain Management

Iman Rahimi,Amir H. Gandomi,Simon James Fong,M. Ali Ülkü
Big Data Analytics in Supply Chain Management Book PDF

Author : Iman Rahimi,Amir H. Gandomi,Simon James Fong,M. Ali Ülkü
Publisher : CRC Press
Page : 209 pages
File Size : 53,6 Mb
Release : 2020-12-20
Category : Computers
ISBN : 9781000326932

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Big Data Analytics in Supply Chain Management by Iman Rahimi,Amir H. Gandomi,Simon James Fong,M. Ali Ülkü Pdf

In a world of soaring digitization, social media, financial transactions, and production and logistics processes constantly produce massive data. Employing analytical tools to extract insights and foresights from data improves the quality, speed, and reliability of solutions to highly intertwined issues faced in supply chain operations. From procurement in Industry 4.0 to sustainable consumption behavior to curriculum development for data scientists, this book offers a wide array of techniques and theories of Big Data Analytics applied to Supply Chain Management. It offers a comprehensive overview and forms a new synthesis by bringing together seemingly divergent fields of research. Intended for Engineering and Business students, scholars, and professionals, this book is a collection of state-of-the-art research and best practices to spur discussion about and extend the cumulant knowledge of emerging supply chain problems.

Supply Chain Analytics

Kurt Y. Liu
Supply Chain Analytics Book PDF

Author : Kurt Y. Liu
Publisher : Springer Nature
Page : 388 pages
File Size : 41,7 Mb
Release : 2022-04-07
Category : Business & Economics
ISBN : 9783030922245

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Supply Chain Analytics by Kurt Y. Liu Pdf

This innovative new core textbook, written by an experienced professor and practitioner in supply chain management, offers a business-focused overview of the applications of data analytics and machine learning to supply chain management. Accessible yet rigorous, this text introduces students to the relevant concepts and techniques needed for data analysis and decision making in modern supply chains and enables them to develop proficiency in a popular and powerful programming software. Suitable for use on upper-level undergraduate, postgraduate and MBA courses in supply chain management, it covers all of the major supply chain processes, including managing supply and demand, warehousing and inventory control, transportation and route optimization. Each chapter comes with practical real-world examples drawn from a range of business contexts, including Amazon and Starbucks, case study discussion questions, computer-assisted exercises and programming projects.

Utilization of AI Technology in Supply Chain Management

Pandey, Digvijay,Pandey, Binay Kumar,Kanike, Uday Kumar,George, A. Shaji,Kaur, Prabjot
Utilization of AI Technology in Supply Chain Management Book PDF

Author : Pandey, Digvijay,Pandey, Binay Kumar,Kanike, Uday Kumar,George, A. Shaji,Kaur, Prabjot
Publisher : IGI Global
Page : 358 pages
File Size : 40,9 Mb
Release : 2024-03-01
Category : Business & Economics
ISBN : 9798369335949

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Utilization of AI Technology in Supply Chain Management by Pandey, Digvijay,Pandey, Binay Kumar,Kanike, Uday Kumar,George, A. Shaji,Kaur, Prabjot Pdf

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.

Data Analytics and Business Intelligence

Vincent Charles,Pratibha Garg,Neha Gupta,Mohini Agarwal
Data Analytics and Business Intelligence Book PDF

Author : Vincent Charles,Pratibha Garg,Neha Gupta,Mohini Agarwal
Publisher : CRC Press
Page : 275 pages
File Size : 55,6 Mb
Release : 2023-06-15
Category : Computers
ISBN : 9781000909265

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Data Analytics and Business Intelligence by Vincent Charles,Pratibha Garg,Neha Gupta,Mohini Agarwal Pdf

Business Analytics (BA) is an evolving phenomenon that showcases the increasing importance of using huge volumes of data to generate value for businesses. Advances in BA have offered great opportunities for organisations to improve, innovate, and develop existing or new processes, products, and services. BA is the process of transforming data into actionable insight by using statistical and mathematical analysis, descriptive, prescriptive, and predictive models, machine learning, information systems and network science methods, among others, along with a variety of data, expert knowledge, and fact-based management to support better and faster decision-making. BA and Business Intelligence (BI) generate capabilities for companies to compete in the market effectively and has become one of the main functional areas in most companies. BA tools are used in diverse ways, for example, to identify consumer behaviour patterns and market trends, to derive valuable insights on the performance of stocks, to find information on the attrition rate of employees, to analyse and solve healthcare problems, to offer insight into inventory management and supply chain management, to analyse data from social networks, and to infer traffic behaviour and develop traffic management policy, among others. BA and BI have become one of the most popular research areas in academic circles, as well as in the industry, driven by the increasing demand in the business world. This book aims to become a stimulus for innovative business solutions covering a wide range of aspects of business analytics, such as management science, information technology, descriptive, prescriptive, and predictive models, machine learning, network science, mathematical and statistical techniques. The book will encompass a valuable collection of chapters exploring and discussing computational frameworks, practices, and applications of BA that can assist industries and relevant stakeholders in decision-making and problem-solving exercises, with a view to driving competitive advantage.

AI in Supply Chain and Logistics

Prakash Kumar Udupi,Vishal Dattana,Jitendra Pandey
AI in Supply Chain and Logistics Book PDF

Author : Prakash Kumar Udupi,Vishal Dattana,Jitendra Pandey
Publisher : Independently Published
Page : 0 pages
File Size : 52,6 Mb
Release : 2023-11-12
Category : Electronic
ISBN : 9798867345778

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AI in Supply Chain and Logistics by Prakash Kumar Udupi,Vishal Dattana,Jitendra Pandey Pdf

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.

Big Data Driven Supply Chain Management

Nada R. Sanders
Big Data Driven Supply Chain Management Book PDF

Author : Nada R. Sanders
Publisher : Pearson Education
Page : 273 pages
File Size : 48,5 Mb
Release : 2014-05-07
Category : Business & Economics
ISBN : 9780133762822

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Big Data Driven Supply Chain Management by Nada R. Sanders Pdf

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.

Data Science for Supply Chain Forecast

Nicolas Vandeput
Data Science for Supply Chain Forecast Book PDF

Author : Nicolas Vandeput
Publisher : Independently Published
Page : 237 pages
File Size : 54,6 Mb
Release : 2018-11-12
Category : Electronic
ISBN : 1730969437

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Data Science for Supply Chain Forecast by Nicolas Vandeput Pdf

Data Science for Supply Chain Forecast Data Science for Supply Chain Forecast is a book for practitioners focusing on data science and machine learning; it demonstrates how both are closely interlinked in order to create an advanced forecast for supply chain. As one will discover in this book, artificial intelligence (AI) & machine learning (ML) are not simply a question of coding skills. Using data science in order to solve a problem requires a scientific mindset more than coding skills. The story behind these models is one of experimentation, of observation and of constant questioning; a true scientific method must be applied to supply chain. In the data science field as well as that of the supply chain, simple questions do not come with simple answers. In order to resolve these questions, one needs to be both a scientist as well as to use the correct tools. In this book, we will discuss both. Is this Book for me? This book has been written for supply chain practitioners, forecasters and analysts who are looking to go the extra mile. You do not need technical IT skills to start using the models of this book. You do not need a dedicated server or expensive software licenses: you solely need your own computer. You do not need a PhD in mathematics: mathematics will only be utilized as a tool to tweak and understand the models. In the majority of the cases - especially when it comes to machine learning - a deep understanding of the mathematical inner workings of a model will not be necessary in order to optimize it and understand its limitations. Reviews "In an age where analytics and machine learning are taking on larger roles in the business forecasting, Nicolas' book is perfect solution for professionals who need to combine practical supply chain experience with the mathematical and technological tools that can help us predict the future more reliably." Daniel Stanton - Author, Supply Chain Management For Dummies "Open source statistical toolkits have progressed tremendously over the last decade. Nicolas demonstrates that these toolkits are more than enough to start addressing real-world forecasting challenges as found in supply chains. Moreover, through its hands-on approach, this book is accessible to a large audience of supply chain practitioners. The supply chain of the 21st century will be data-driven and Nicolas gets it perfectly." Joannes Vermorel - CEO Lokad "This book is unique in its kind. It explains the basics of Python using basic traditional forecasting techniques and shows how machine learning is revolutionizing the forecasting domain. Nicolas has done an outstanding job explaining a technical subject in an easily accessible way. A must-read for any supply chain professional." Professor Bram Desmet - CEO Solventure "This book is before anything a practical and business-oriented "DIY" user manual to help planners move into 21st-century demand planning. The breakthrough comes from several tools and techniques available to all, and which thanks to Nicolas' precise and concrete explanations can now be implemented in real business environments by any "normal" planner. I can confirm that Nicolas' learnings are based on real-life experience and can tremendously help on improving top and bottom lines." Henri-Xavier Benoist - VP Supply Chain Bridegstone EMEA

Smart and Sustainable Operations and Supply Chain Management in Industry 4.0

Turan Paksoy,Muhammet Deveci
Smart and Sustainable Operations and Supply Chain Management in Industry 4 0 Book PDF

Author : Turan Paksoy,Muhammet Deveci
Publisher : CRC Press
Page : 428 pages
File Size : 52,7 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.

Predictive Analytics

Vijay Kumar,Mangey Ram
Predictive Analytics Book PDF

Author : Vijay Kumar,Mangey Ram
Publisher : CRC Press
Page : 231 pages
File Size : 40,5 Mb
Release : 2021-01-14
Category : Technology & Engineering
ISBN : 9781000332889

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Predictive Analytics by Vijay Kumar,Mangey Ram Pdf

Predictive analytics refers to making predictions about the future based on different parameters which are historical data, machine learning, and artificial intelligence. This book provides the most recent advances in the field along with case studies and real-world examples. It discusses predictive modeling and analytics in reliability engineering and introduces current achievements and applications of artificial intelligence, data mining, and other techniques in supply chain management. It covers applications to reliability engineering practice, presents numerous examples to illustrate the theoretical results, and considers and analyses case studies and real-word examples. The book is written for researchers and practitioners in the field of system reliability, quality, supply chain management, and logistics management. Students taking courses in these areas will also find this book of interest.

Blockchain, IoT, and AI Technologies for Supply Chain Management

Priyanka Chawla,Adarsh Kumar,Anand Nayyar,Mohd Naved
Blockchain IoT and AI Technologies for Supply Chain Management Book PDF

Author : Priyanka Chawla,Adarsh Kumar,Anand Nayyar,Mohd Naved
Publisher : CRC Press
Page : 374 pages
File Size : 43,7 Mb
Release : 2023-05-05
Category : Computers
ISBN : 9781000855074

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Blockchain, IoT, and AI Technologies for Supply Chain Management by Priyanka Chawla,Adarsh Kumar,Anand Nayyar,Mohd Naved Pdf

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.