Artificial Intelligence And Lean Manufacturing

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Artificial Intelligence and Lean Manufacturing

Author : Tin-Chih Toly Chen,Yi-Chi Wang
Publisher : Springer Nature
Page : 95 pages
File Size : 53,8 Mb
Release : 2022-04-26
Category : Technology & Engineering
ISBN : 9783031045837

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Artificial Intelligence and Lean Manufacturing by Tin-Chih Toly Chen,Yi-Chi Wang Pdf

This book applies artificial intelligence to lean production and shows how to practically combine the advantages of these two disciplines. Lean manufacturing originated in Japan and is a well-known tool for improving manufacturers' competitiveness. Prevalent tools for lean manufacturing include Kanban, Pacemaker, Value Stream Map, 5s, Just-in-Time and Pull Manufacturing. Lean Manufacturing and the Toyota Manufacturing System has been successfully applied to various factories and supply chains around the world. A lean manufacturing system can not only reduce wastes and inventory, but also respond to customer needs more immediately. Artificial intelligence is a subject that has attracted much attention recently. Many researchers and practical developers are working hard to apply artificial intelligence to our daily lives, including in factories. For example, fuzzy rules have been established to optimize machine settings. Bionic algorithms have been proposed to solve production sequencing and scheduling problems. Machine learning technologies are applied to detect possible product quality problems and diagnose the health of a machine. This book will be of interest to production engineers, managers, as well as students and researchers in manufacturing engineering.

Lean Six Sigma in the Age of Artificial Intelligence: Harnessing the Power of the Fourth Industrial Revolution

Author : Michael L. George,Dan Blackwell,Dinesh Rajan
Publisher : McGraw Hill Professional
Page : 320 pages
File Size : 53,9 Mb
Release : 2019-02-08
Category : Business & Economics
ISBN : 9781260135046

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Lean Six Sigma in the Age of Artificial Intelligence: Harnessing the Power of the Fourth Industrial Revolution by Michael L. George,Dan Blackwell,Dinesh Rajan Pdf

The world’s leading expert on Lean Six Sigma provides the missing link for reducing waste and taking operations to the next level: Artificial Intelligence “Whatever the industry, there is an executive with the grit and determination to apply AI to attain the fastest growth, the highest investment returns, to dominate that industry. The only question is: will it be you?” –from Lean Six Sigma in the Age of Artificial Intelligence Combine the power of AI and LSS to seize the competitive advantage—quickly, decisively, and permanently Since 2001, business leaders have been using Lean Six Sigma (LSS) to drive improvements across industries, enabling their companies to reduce cycle time and waste, thus improving revenue and profits. Now they can finally unlock their company’s full potential by combining LSS and AI. In Lean Six Sigma in the Age of Artificial Intelligence, the world’s most respected expert on LSS, Michael L. George, Sr., shows how to harness the power of the technology that promises changing everything as we know it—Artificial Intelligence—to dramatically enhance any LSS management program. This game-changing guide takes you through the process of using AI to unlock maximum speed, solve complex manufacturing challenges, reduce waste, increase company profits, and ultimately outflank your competition at every turn. With Lean Six Sigma in the Age of Artificial Intelligence, you’ll take this revolutionary approach to its limits—and that will make all the difference between business success and failure in the coming decades.

Smart Manufacturing

Author : Anthony Tarantino
Publisher : John Wiley & Sons
Page : 471 pages
File Size : 41,5 Mb
Release : 2022-05-24
Category : Business & Economics
ISBN : 9781119846628

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Smart Manufacturing by Anthony Tarantino Pdf

Explore the dramatic changes brought on by the new manufacturing technologies of Industry 4.0 In Smart Manufacturing, The Lean Six Sigma Way, Dr. Anthony Tarantino delivers an insightful and eye-opening exploration of the ways the Fourth Industrial Revolution is dramatically changing the way we manufacture products across the world and especially how it will revitalize manufacturing in North America and Europe. The author examines the role and impact of a variety of new Smart technologies including industrial IoT, computer vision, mobile/edge computing, 3D printing, robots, big data analytics, and the cloud. He demonstrates how to apply these new technologies to over 20 continuous improvement/Lean Six Sigma tools, greatly enhancing their effectiveness and ease of use. The book also discusses the role Smart technologies will play in improving: Career opportunities for women in manufacturing Cyber security, supply chain risk, and logistics resiliency Workplace health, safety, and security Life on the manufacturing floor Operational efficiencies and customer satisfaction Perfect for anyone involved in the manufacturing or distribution of products in the 21st century, Smart Manufacturing, The Lean Six Sigma Way belongs in the libraries of anyone interested in the intersection of technology, commerce, and physical manufacturing.

Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems

Author : Alexandre Dolgui,Alain Bernard,David Lemoine,Gregor von Cieminski,David Romero
Publisher : Springer Nature
Page : 730 pages
File Size : 42,5 Mb
Release : 2021-09-01
Category : Computers
ISBN : 9783030859022

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Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems by Alexandre Dolgui,Alain Bernard,David Lemoine,Gregor von Cieminski,David Romero Pdf

The five-volume set IFIP AICT 630, 631, 632, 633, and 634 constitutes the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2021, held in Nantes, France, in September 2021.* The 378 papers presented were carefully reviewed and selected from 529 submissions. They discuss artificial intelligence techniques, decision aid and new and renewed paradigms for sustainable and resilient production systems at four-wall factory and value chain levels. The papers are organized in the following topical sections: Part I: artificial intelligence based optimization techniques for demand-driven manufacturing; hybrid approaches for production planning and scheduling; intelligent systems for manufacturing planning and control in the industry 4.0; learning and robust decision support systems for agile manufacturing environments; low-code and model-driven engineering for production system; meta-heuristics and optimization techniques for energy-oriented manufacturing systems; metaheuristics for production systems; modern analytics and new AI-based smart techniques for replenishment and production planning under uncertainty; system identification for manufacturing control applications; and the future of lean thinking and practice Part II: digital transformation of SME manufacturers: the crucial role of standard; digital transformations towards supply chain resiliency; engineering of smart-product-service-systems of the future; lean and Six Sigma in services healthcare; new trends and challenges in reconfigurable, flexible or agile production system; production management in food supply chains; and sustainability in production planning and lot-sizing Part III: autonomous robots in delivery logistics; digital transformation approaches in production management; finance-driven supply chain; gastronomic service system design; modern scheduling and applications in industry 4.0; recent advances in sustainable manufacturing; regular session: green production and circularity concepts; regular session: improvement models and methods for green and innovative systems; regular session: supply chain and routing management; regular session: robotics and human aspects; regular session: classification and data management methods; smart supply chain and production in society 5.0 era; and supply chain risk management under coronavirus Part IV: AI for resilience in global supply chain networks in the context of pandemic disruptions; blockchain in the operations and supply chain management; data-based services as key enablers for smart products, manufacturing and assembly; data-driven methods for supply chain optimization; digital twins based on systems engineering and semantic modeling; digital twins in companies first developments and future challenges; human-centered artificial intelligence in smart manufacturing for the operator 4.0; operations management in engineer-to-order manufacturing; product and asset life cycle management for smart and sustainable manufacturing systems; robotics technologies for control, smart manufacturing and logistics; serious games analytics: improving games and learning support; smart and sustainable production and supply chains; smart methods and techniques for sustainable supply chain management; the new digital lean manufacturing paradigm; and the role of emerging technologies in disaster relief operations: lessons from COVID-19 Part V: data-driven platforms and applications in production and logistics: digital twins and AI for sustainability; regular session: new approaches for routing problem solving; regular session: improvement of design and operation of manufacturing systems; regular session: crossdock and transportation issues; regular session: maintenance improvement and lifecycle management; regular session: additive manufacturing and mass customization; regular session: frameworks and conceptual modelling for systems and services efficiency; regular session: optimization of production and transportation systems; regular session: optimization of supply chain agility and reconfigurability; regular session: advanced modelling approaches; regular session: simulation and optimization of systems performances; regular session: AI-based approaches for quality and performance improvement of production systems; and regular session: risk and performance management of supply chains *The conference was held online.

Lean Manufacturing 4.0

Author : Sebastian J. Brau
Publisher : Createspace Independent Publishing Platform
Page : 140 pages
File Size : 41,7 Mb
Release : 2017-05-17
Category : Electronic
ISBN : 1539322947

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Lean Manufacturing 4.0 by Sebastian J. Brau Pdf

A new book from the Lean Manufacturing Expert Sebastian Brau, presenting techniques, software, procedures and tricks to get the maximum performance from your Lean project by the use of current available technologies in factories. You will learn how to: 1.- Implement the 'Active Inventory' methodology to prevent your factory from having any stockout ever again. 2.- Use 'lean markers' to detect productivity deviations in your operations more easily. 3.- Merge Kaizen and Pareto to complete your 'continuous improvement' cycles faster and cheaper. 4.- Transform the quality controls in your factory into plant sensors to build a 'digital nervous system'. 5.- Use simple plant records to automatically feed your ERP. 6.- Implement a Material Traceability control that does not jeopardize your operation's productivity with unnecessary costs. 7.- Use SMED video guides to reduce the need to train your staff and the global time for the Lean project to be implemented. 8.- Implement a time control for your staff without offending susceptibilities in the factory. 9.- Know how the new North American Law 'FSMA' can affect your operation if you do not anticipate its effects. A different Lean book written by a Robotics and Artificial Intelligence Software Engineer with more than 20 years' experience in implementing Lean Manufacturing and structured with the different technological viewpoint that his specialized profile allows, in the form of "Practical guide on the correct use of Technology in a Lean Project"

Data-Driven Technologies and Artificial Intelligence in Supply Chain

Author : Mahesh Chand,Vineet Jain,Puneeta Ajmera
Publisher : CRC Press
Page : 319 pages
File Size : 43,9 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.

Lean Management and Kaizen

Author : Marc Helmold
Publisher : Springer Nature
Page : 199 pages
File Size : 48,9 Mb
Release : 2020-06-05
Category : Business & Economics
ISBN : 9783030469818

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Lean Management and Kaizen by Marc Helmold Pdf

The book provides a holistic and practical approach to lean management throughout the business value chain. The lean management framework and tools demonstrate the optimal design and use of methods, tools and principles for companies and organisations. The author describes comprehensively how lean management enables companies to concentrate on value-adding activities and processes to achieve a long-term, sustainable competitive advantage. A wealth of best practices, industry examples and case studies are used to reveal the diversity and opportunities of lean management methodologies, methods and principles. Moreover, the book shows how lean management principles are ultimately applied in industries like automotive, healthcare, education and services industries.

Reinventing Manufacturing and Business Processes Through Artificial Intelligence

Author : Geeta Rana
Publisher : CRC Press
Page : 253 pages
File Size : 55,8 Mb
Release : 2021-12
Category : Artificial intelligence
ISBN : 036770210X

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Reinventing Manufacturing and Business Processes Through Artificial Intelligence by Geeta Rana Pdf

"This book describes how newly emerging Artificial Intelligence (AI) technologies will provide unprecedented opportunities to penetrate technology and automation into everything we do, and at the same time, provide a huge playing field for businesses to develop newer models to capture market share. It establishes a milestone in understanding global transformational changes occurring in the manufacturing and corporate world due to AI and tries to find powerful and sophisticated solutions that will improve and streamline operations. Reinventing Manufacturing and Business Processes through Artificial Intelligence will be of interest to students, researchers, and professionals of the AI community as well as interdisciplinary researchers"--

Artificial Intelligence Applications in Manufacturing

Author : Richard Kendall Miller,Terri C. Walker
Publisher : Unknown
Page : 384 pages
File Size : 50,6 Mb
Release : 1988
Category : Artificial intelligence
ISBN : UOM:39015013833630

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Artificial Intelligence Applications in Manufacturing by Richard Kendall Miller,Terri C. Walker Pdf

Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems

Author : Alexandre Dolgui,Alain Bernard,David Lemoine,Gregor von Cieminski,David Romero
Publisher : Springer Nature
Page : 779 pages
File Size : 46,6 Mb
Release : 2021-08-31
Category : Computers
ISBN : 9783030858742

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Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems by Alexandre Dolgui,Alain Bernard,David Lemoine,Gregor von Cieminski,David Romero Pdf

The five-volume set IFIP AICT 630, 631, 632, 633, and 634 constitutes the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2021, held in Nantes, France, in September 2021.* The 378 papers presented were carefully reviewed and selected from 529 submissions. They discuss artificial intelligence techniques, decision aid and new and renewed paradigms for sustainable and resilient production systems at four-wall factory and value chain levels. The papers are organized in the following topical sections: Part I: artificial intelligence based optimization techniques for demand-driven manufacturing; hybrid approaches for production planning and scheduling; intelligent systems for manufacturing planning and control in the industry 4.0; learning and robust decision support systems for agile manufacturing environments; low-code and model-driven engineering for production system; meta-heuristics and optimization techniques for energy-oriented manufacturing systems; metaheuristics for production systems; modern analytics and new AI-based smart techniques for replenishment and production planning under uncertainty; system identification for manufacturing control applications; and the future of lean thinking and practice Part II: digital transformation of SME manufacturers: the crucial role of standard; digital transformations towards supply chain resiliency; engineering of smart-product-service-systems of the future; lean and Six Sigma in services healthcare; new trends and challenges in reconfigurable, flexible or agile production system; production management in food supply chains; and sustainability in production planning and lot-sizing Part III: autonomous robots in delivery logistics; digital transformation approaches in production management; finance-driven supply chain; gastronomic service system design; modern scheduling and applications in industry 4.0; recent advances in sustainable manufacturing; regular session: green production and circularity concepts; regular session: improvement models and methods for green and innovative systems; regular session: supply chain and routing management; regular session: robotics and human aspects; regular session: classification and data management methods; smart supply chain and production in society 5.0 era; and supply chain risk management under coronavirus Part IV: AI for resilience in global supply chain networks in the context of pandemic disruptions; blockchain in the operations and supply chain management; data-based services as key enablers for smart products, manufacturing and assembly; data-driven methods for supply chain optimization; digital twins based on systems engineering and semantic modeling; digital twins in companies first developments and future challenges; human-centered artificial intelligence in smart manufacturing for the operator 4.0; operations management in engineer-to-order manufacturing; product and asset life cycle management for smart and sustainable manufacturing systems; robotics technologies for control, smart manufacturing and logistics; serious games analytics: improving games and learning support; smart and sustainable production and supply chains; smart methods and techniques for sustainable supply chain management; the new digital lean manufacturing paradigm; and the role of emerging technologies in disaster relief operations: lessons from COVID-19 Part V: data-driven platforms and applications in production and logistics: digital twins and AI for sustainability; regular session: new approaches for routing problem solving; regular session: improvement of design and operation of manufacturing systems; regular session: crossdock and transportation issues; regular session: maintenance improvement and lifecycle management; regular session: additive manufacturing and mass customization; regular session: frameworks and conceptual modelling for systems and services efficiency; regular session: optimization of production and transportation systems; regular session: optimization of supply chain agility and reconfigurability; regular session: advanced modelling approaches; regular session: simulation and optimization of systems performances; regular session: AI-based approaches for quality and performance improvement of production systems; and regular session: risk and performance management of supply chains *The conference was held online.

Explainable Artificial Intelligence (XAI) in Manufacturing

Author : Tin-Chih Toly Chen
Publisher : Springer Nature
Page : 110 pages
File Size : 51,8 Mb
Release : 2023-03-16
Category : Technology & Engineering
ISBN : 9783031279614

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Explainable Artificial Intelligence (XAI) in Manufacturing by Tin-Chih Toly Chen Pdf

This book provides a comprehensive overview of the latest developments in Explainable AI (XAI) and its applications in manufacturing. It covers the various methods, tools, and technologies that are being used to make AI more understandable and communicable for factory workers. With the increasing use of AI in manufacturing, there is a growing need to address the limitations of advanced AI methods that are difficult to understand or explain to those without a background in AI. This book addresses this need by providing a systematic review of the latest research and advancements in XAI specifically tailored for the manufacturing industry. The book includes real-world case studies and examples to illustrate the practical applications of XAI in manufacturing. It is a valuable resource for researchers, engineers, and practitioners working in the field of AI and manufacturing.

Lean AI

Author : Lomit Patel
Publisher : O'Reilly Media
Page : 237 pages
File Size : 48,7 Mb
Release : 2020-01-30
Category : Business & Economics
ISBN : 9781492059288

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Lean AI by Lomit Patel Pdf

How can startups successfully scale customer acquisition and revenue growth with a Lean team? Out-of-the-box acquisition solutions from Facebook, Google, and others provide a good start, but the companies that can tailor those solutions to meet their specific needs, objectives, and goals will come out winners. But that hasn’t been an easy task—until now. With this practical book, author Lomit Patel shows you how to use AI and automation to provide an operational layer atop those acquisition solutions to deliver amazing results for your company. You’ll learn how to adapt, customize, and personalize cross-channel user journeys to help your company attract and retain customers—to usher in the new age of Autonomous Marketing. Learn how AI and automation can support the customer acquisition efforts of a Lean Startup Dive into Customer Acquisition 3.0, an initiative for gaining and retaining customers Explore ways to use AI for marketing purposes Understand the key metrics for determining the growth of your startup Determine the right strategy to foster user acquisition in your company Manage the increased complexity and risk inherent in AI projects

Emerging Technologies in Manufacturing

Author : Matthew N. O. Sadiku,Abayomi J. Ajayi-Majebi,Philip O. Adebo
Publisher : Springer Nature
Page : 297 pages
File Size : 40,7 Mb
Release : 2023-03-15
Category : Technology & Engineering
ISBN : 9783031231568

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Emerging Technologies in Manufacturing by Matthew N. O. Sadiku,Abayomi J. Ajayi-Majebi,Philip O. Adebo Pdf

The manufacturing industry is a cornerstone of national economy and people’s livelihood. It is the way of transforming resources into products or goods which are required to cater to the needs of the society. Traditional manufacturing companies currently face several challenges such as rapid technological changes, inventory problem, shortened innovation, short product life cycles, volatile demand, low prices, highly customized products, and ability to compete in the global markets. Modern manufacturing is highly competitive due to globalization and fast changes in the global market. This book reviews emerging technologies in manufacturing. These technologies include artificial intelligence, smart manufacturing, lean manufacturing, robotics, automation, 3D printing, nanotechnology, industrial Internet of things, and augmented reality. The use of these technologies will have a profound impact on the manufacturing industry. The book consists of 19 chapters. Each chapter addresses a single emerging technology in depth and describes how manufacturing organizations are adopting the technology. The book fills an important niche for manufacturing. It is a comprehensive, jargon-free introductory text on the issues, ideas, theories, and problems on emerging technologies in manufacturing. It is a must-read book for beginners or anyone who wants to be updated about emerging technologies.

Advances in Intelligent Manufacturing and Service System Informatics

Author : Zekâi Şen,Özer Uygun,Caner Erden
Publisher : Springer Nature
Page : 824 pages
File Size : 53,9 Mb
Release : 2023-11-02
Category : Technology & Engineering
ISBN : 9789819960620

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Advances in Intelligent Manufacturing and Service System Informatics by Zekâi Şen,Özer Uygun,Caner Erden Pdf

This book comprises the proceedings of the 12th International Symposium on Intelligent Manufacturing and Service Systems 2023. The contents of this volume focus on recent technological advances in the field of artificial intelligence in manufacturing & service systems including machine learning, autonomous control, bioinformatics, human-artificial intelligence interaction, digital twin, robotic systems, sybersecurity, etc. This volume will prove a valuable resource for those in academia and industry.

Artificial Intelligence in Industry 4.0

Author : Alexiei Dingli,Foaad Haddod,Christina Klüver
Publisher : Springer Nature
Page : 248 pages
File Size : 50,9 Mb
Release : 2021-02-27
Category : Technology & Engineering
ISBN : 9783030610456

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Artificial Intelligence in Industry 4.0 by Alexiei Dingli,Foaad Haddod,Christina Klüver Pdf

This book is intended to help management and other interested parties such as engineers, to understand the state of the art when it comes to the intersection between AI and Industry 4.0 and get them to realise the huge possibilities which can be unleashed by the intersection of these two fields. We have heard a lot about Industry 4.0, but most of the time, it focuses mainly on automation. In this book, the authors are going a step further by exploring advanced applications of Artificial Intelligence (AI) techniques, ranging from the use of deep learning algorithms in order to make predictions, up to an implementation of a full-blown Digital Triplet system. The scope of the book is to showcase what is currently brewing in the labs with the hope of migrating these technologies towards the factory floors. Chairpersons and CEOs must read these papers if they want to stay at the forefront of the game, ahead of their competition, while also saving huge sums of money in the process.