Artificial Intelligence and Lean Manufacturing

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Author :
Publisher : Springer Nature
ISBN 13 : 3031045831
Total Pages : 95 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Artificial Intelligence and Lean Manufacturing by : Tin-Chih Toly Chen

Download or read book Artificial Intelligence and Lean Manufacturing written by Tin-Chih Toly Chen and published by Springer Nature. This book was released on 2022-04-26 with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

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Author :
Publisher : McGraw Hill Professional
ISBN 13 : 1260135047
Total Pages : 320 pages
Book Rating : 4.2/5 (61 download)

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Book Synopsis Lean Six Sigma in the Age of Artificial Intelligence: Harnessing the Power of the Fourth Industrial Revolution by : Michael L. George

Download or read book Lean Six Sigma in the Age of Artificial Intelligence: Harnessing the Power of the Fourth Industrial Revolution written by Michael L. George and published by McGraw Hill Professional. This book was released on 2019-02-08 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Lean AI

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Author :
Publisher : O'Reilly Media
ISBN 13 : 1492059285
Total Pages : 237 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Lean AI by : Lomit Patel

Download or read book Lean AI written by Lomit Patel and published by O'Reilly Media. This book was released on 2020-01-30 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Explainable Artificial Intelligence (XAI) in Manufacturing

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Author :
Publisher : Springer Nature
ISBN 13 : 3031279611
Total Pages : 110 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Explainable Artificial Intelligence (XAI) in Manufacturing by : Tin-Chih Toly Chen

Download or read book Explainable Artificial Intelligence (XAI) in Manufacturing written by Tin-Chih Toly Chen and published by Springer Nature. This book was released on 2023-03-16 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Artificial Intelligence in Industry 4.0

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Author :
Publisher : Springer Nature
ISBN 13 : 3030610454
Total Pages : 248 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Artificial Intelligence in Industry 4.0 by : Alexiei Dingli

Download or read book Artificial Intelligence in Industry 4.0 written by Alexiei Dingli and published by Springer Nature. This book was released on 2021-02-27 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Lean Management and Kaizen

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Publisher : Springer Nature
ISBN 13 : 3030469816
Total Pages : 199 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Lean Management and Kaizen by : Marc Helmold

Download or read book Lean Management and Kaizen written by Marc Helmold and published by Springer Nature. This book was released on 2020-06-05 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Lean Manufacturing 4.0

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Author :
Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781539322948
Total Pages : 140 pages
Book Rating : 4.3/5 (229 download)

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Book Synopsis Lean Manufacturing 4.0 by : Sebastian J. Brau

Download or read book Lean Manufacturing 4.0 written by Sebastian J. Brau and published by Createspace Independent Publishing Platform. This book was released on 2017-05-17 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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"

Lean Six Sigma in the Age of Artificial Intelligence

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Author :
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (136 download)

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Book Synopsis Lean Six Sigma in the Age of Artificial Intelligence by : Michael L. George

Download or read book Lean Six Sigma in the Age of Artificial Intelligence written by Michael L. George and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Since 2001, business leaders have been using Lean Six Sigma to drive improvements across industries, enabling their companies to reduce cost and cycle time, thus improving revenue and profits. In Lean Six Sigma in the Age of Artificial Intelligence, the world's most respected expert on LSS, Michael George, shows how to harness the power of 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."--Publisher's description.

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

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Author :
Publisher : Springer Nature
ISBN 13 : 3030859029
Total Pages : 730 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems by : Alexandre Dolgui

Download or read book Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems written by Alexandre Dolgui and published by Springer Nature. This book was released on 2021-09-01 with total page 730 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Data-Driven Technologies and Artificial Intelligence in Supply Chain

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Author :
Publisher : CRC Press
ISBN 13 : 1003802397
Total Pages : 319 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Data-Driven Technologies and Artificial Intelligence in Supply Chain by : Mahesh Chand

Download or read book Data-Driven Technologies and Artificial Intelligence in Supply Chain written by Mahesh Chand and published by CRC Press. This book was released on 2023-11-22 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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

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Author :
Publisher : Springer Nature
ISBN 13 : 303085874X
Total Pages : 779 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems by : Alexandre Dolgui

Download or read book Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems written by Alexandre Dolgui and published by Springer Nature. This book was released on 2021-08-31 with total page 779 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

The Lean Approach to Digital Transformation

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Author :
Publisher : CRC Press
ISBN 13 : 1000552829
Total Pages : 257 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis The Lean Approach to Digital Transformation by : Yves Caseau

Download or read book The Lean Approach to Digital Transformation written by Yves Caseau and published by CRC Press. This book was released on 2022-05-01 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Lean Approach to Digital Transformation: From Customer to Code and From Code to Customer is organized into three parts that expose and develop the three capabilities that are essential for a successful digital transformation: 1. Understanding how to co-create digital services with users, whether they are customers or future customers. This ability combines observation, dialogue, and iterative experimentation. The approach proposed in this book is based on the Lean Startup approach, according to an extended vision that combines Design Thinking and Growth Hacking. Companies must become truly "customer-centric", from observation and listening to co-development. The revolution of the digital age of the 21st century is that customer orientation is more imperative -- the era of abundance, usages rate of change, complexity of experiences, and shift of power towards communities -- are easier, using digital tools and digital communities. 2. Developing an information system (IS) that is the backbone of the digital transformation – called “exponential information system” to designate an open IS (in particular on its borders), capable of interfacing and combining with external services, positioned as a player in software ecosystems and built for processing scalable and dynamic data flows. The exponential information system is constantly changing and it continuously absorbs the best of information processing technology, such as Artificial Intelligence and Machine Learning. 3. Building software “micro-factories” that produce service platforms, which are called “Lean software factories.” This “software factory” concept covers the integration of agile methods, tooling and continuous integration and deployment practices, a customer-oriented product approach, and a platform approach based on modularity, as well as API-based architecture and openness to external stakeholders. This software micro-factory is the foundation that continuously produces and provides constantly evolving services. These three capabilities are not unique or specific to this book, they are linked to other concepts such as agile methods, product development according to lean principles, software production approaches such as CICD (continuous integration and deployment) or DevOps. This book weaves a common frame of reference for all these approaches to derive more value from the digital transformation and to facilitate its implementation. The title of the book refers to the “lean approach to digital transformation” because the two underlying frameworks, Lean Startup and Lean Software Factory, are directly inspired by Lean, in the sense of the Toyota Way. The Lean approach is present from the beginning to the end of this book -- it provides the framework for customer orientation and the love of a job well done, which are the conditions for the success of a digital transformation.

Advances in Production Management Systems. Towards Smart and Digital Manufacturing

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Author :
Publisher : Springer Nature
ISBN 13 : 3030579972
Total Pages : 783 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Advances in Production Management Systems. Towards Smart and Digital Manufacturing by : Bojan Lalic

Download or read book Advances in Production Management Systems. Towards Smart and Digital Manufacturing written by Bojan Lalic and published by Springer Nature. This book was released on 2020-08-25 with total page 783 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set IFIP AICT 591 and 592 constitutes the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2020, held in Novi Sad, Serbia, in August/September 2020. The 164 papers presented were carefully reviewed and selected from 199 submissions. They discuss globally pressing issues in smart manufacturing, operations management, supply chain management, and Industry 4.0. The papers are organized in the following topical sections: Part I: advanced modelling, simulation and data analytics in production and supply networks; advanced, digital and smart manufacturing; digital and virtual quality management systems; cloud-manufacturing; cyber-physical production systems and digital twins; IIOT interoperability; supply chain planning and optimization; digital and smart supply chain management; intelligent logistics networks management; artificial intelligence and blockchain technologies in logistics and DSN; novel production planning and control approaches; machine learning and artificial intelligence; connected, smart factories of the future; manufacturing systems engineering: agile, flexible, reconfigurable; digital assistance systems: augmented reality and virtual reality; circular products design and engineering; circular, green, sustainable manufacturing; environmental and social lifecycle assessments; socio-cultural aspects in production systems; data-driven manufacturing and services operations management; product-service systems in DSN; and collaborative design and engineering Part II: the Operator 4.0: new physical and cognitive evolutionary paths; digital transformation approaches in production management; digital transformation for more sustainable supply chains; data-driven applications in smart manufacturing and logistics systems; data-driven services: characteristics, trends and applications; the future of lean thinking and practice; digital lean manufacturing and its emerging practices; new reconfigurable, flexible or agile production systems in the era of industry 4.0; operations management in engineer-to-order manufacturing; production management in food supply chains; gastronomic service system design; product and asset life cycle management in the circular economy; and production ramp-up strategies for product

Emerging Technologies in Manufacturing

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Author :
Publisher : Springer Nature
ISBN 13 : 3031231562
Total Pages : 297 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Emerging Technologies in Manufacturing by : Matthew N. O. Sadiku

Download or read book Emerging Technologies in Manufacturing written by Matthew N. O. Sadiku and published by Springer Nature. This book was released on 2023-03-15 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Augmented Lean

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119906016
Total Pages : 429 pages
Book Rating : 4.1/5 (199 download)

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Book Synopsis Augmented Lean by : Natan Linder

Download or read book Augmented Lean written by Natan Linder and published by John Wiley & Sons. This book was released on 2022-10-03 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore the real future of work in this expert tech implementation guide that goes beyond automation In Augmented Lean: A Human-Centric Framework for Managing Frontline Operations, serial startup founder Dr. Natan Linder and futurist podcaster Dr. Trond Arne Undheim deliver an urgent and incisive exploration of how to facilitate agile processes amongst a millennial workforce that already lives by many of its tenets. The book demonstrates how to abandon legacy industrial technology that is failing modern operations and hindering operational excellence and digital progress. As an executive and leader, you cannot fall prey to hyped-up notions of industry 4.0's factory of the future automation, artificial intelligence, internet of things, sensors, digital twins, and augmented reality fixing every problem. Instead, to truly reduce cognitive load, complexity, and frustrations in the workplace, we must build cyber-physical technologies so that humans remain at the center. Leaders must ensure that the technology they deploy at an industrial scale has fluid interfaces that demonstrably simplifies work and makes operations more flexible without introducing fear, uncertainty, or doubt. The authors provide: A step-by-step walkthrough of the Augmented Lean framework that shows readers when, how, and why to augment your workforce through cyber-physical principles that go beyond both Lean and Agile management practices Concrete strategies on how to scale these operational augmentation methods throughout your organization based on real-world case studies of operators in the trenches of manufacturing whose impact far outweighs their seniority in the corporate hierarchy Insightful advice for how to use the augmentation framework in small- and medium-sized enterprises where license and training costs are prohibitive when only using off-the-shelf industry 4.0 approaches A thoroughly practical playbook for augmenting your workforce with the latest cyber-physical adaptations to digital technologies, Augmented Lean provides you with the organizational-, process-, and management-level techniques you need to get the most out of your employees. In turn, as an operator, engineer, or industrial worker reading this book, you will become empowered to be a change agent through no-code interfaces instead of remaining a recipient of endless training demands and ever-increasing technological complexity. Augmented Lean will orient you towards the future with the most effective tools to cut through hype so you can instantly apply your learnings and be productive wherever you currently operate.

Artificial Intelligence and Industrial Applications

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Author :
Publisher : Springer Nature
ISBN 13 : 3031435249
Total Pages : 318 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Artificial Intelligence and Industrial Applications by : Tawfik Masrour

Download or read book Artificial Intelligence and Industrial Applications written by Tawfik Masrour and published by Springer Nature. This book was released on 2023-10-16 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: Amid the dynamic growth of artificial intelligence, this book presents a collection of findings and advancements from the second edition of the A2IA-Artificial Intelligence and Industrial Applications conference. The conference, hosted by ENSAM-Meknès at Moulay Ismail University, Morocco, fosters knowledge exchange in AI, focusing primarily on its industrial applications. Covering a wide range of topics, the book highlights the adaptable nature of AI and its increasing impact on industrial sectors. It brings together contributions from an international cohort of researchers, discussing themes such as intelligent manufacturing and maintenance, intelligent supply chain management, various modes of learning including supervised, unsupervised, reinforcement, semi-supervised, and graph-based, as well as neural networks, deep learning, planning, and optimization. A defining feature of this edition is its extensive scope and emphasis on the practical applications of AI, along with its foundational elements. It facilitates an understanding of AI's current state and potential future direction, showcasing recent developments that bridge the gap between theory and practice. Designed for a diverse readership, this book is of interest to AI practitioners, academics, and enthusiasts, as well as to those new to the field. It provides an opportunity to explore AI's critical role in industrial applications, and the practical insights it offers are likely to be beneficial for decision-making within industrial settings.

Intelligent Manufacturing

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Author :
Publisher : Springer Nature
ISBN 13 : 9811901678
Total Pages : 356 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Intelligent Manufacturing by : Chao'an Lai

Download or read book Intelligent Manufacturing written by Chao'an Lai and published by Springer Nature. This book was released on 2022-03-04 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces intelligent manufacturing system planning, design, and implementation, through the deep integration of the Internet, big data, artificial intelligence, and manufacturing process, to promote the transformation and upgrading of enterprises. This book shows the implementation of intelligent manufacturing process with 12 benchmarking enterprises, discusses the planning, implementation, and control of intelligent manufacturing system technology and method of theory, and analyzes the five hierarchies of intelligent manufacturing system, the five stages of life cycle, and five kinds of intelligent depth. The content can cultivate the reader's vocational ability to develop intelligent solutions and implementation based on complex, uncertain environment needs. This book will be interesting and useful to a wide readership in the various fields of management, information science, and engineering science.