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• Introduction
• Monitoring of Weld Pool Surface with Active Vision
• Visual Sensing of 3D Weld Pool Geometry with Passive Vision Image
• Penetration prediction with machine learning models
• Penetration Control for Bead-on plate welding
• Penetration Detection of narrow U-groove welding
• Lack of fusion detection inside narrow U-groove
• Conclustions and recommendations.

This book describes the application of vision-sensing technologies in welding processes, one of the key technologies in intelligent welding manufacturing. Gas tungsten arc welding (GTAW) is one of the main welding techniques and has a wide range of applications in the manufacturing industry. As such, the book also explores the application of AI technologies, such as vision sensing and machine learning, in GTAW process sensing and feature extraction and monitoring, and presents the state-of-the-art in computer vision, image processing and machine learning to detect welding defects using non-destructive methods in order to improve welding productivity. Featuring the latest research from ORNL (Oak Ridge National Laboratory) using digital image correlation technology, this book will appeal to researchers, scientists and engineers in the field of advanced manufacturing.
(source: Nielsen Book Data)

• Advanced Modelling, Simulation and Data Analytics in Production and Supply Networks.- A Robust Multi-Commodity Rebalancing Process in Humanitarian Logistics.- Towards a unified reliability-centered information logistics model for production assets.- Characterization of energy consumers in production systems with renewable on-site power generation.- A simulation model supporting the production optimization for high-precision machines assembly.- Agent-Based Modeling and Analysis of Dynamic Slab Yard Management in a Steel Factory.- A Simulation Analysis of Part Feeding to Assembly Stations with Vertical Robotic Storage and Retrieval.- Process Mining in Manufacturing: Goals, Techniques and Applications.- Bayesian Modelling for Product Testing and Release.- Advanced, Digital and Smart Manufacturing.- The Use of Organizational Innovation Concepts in Manufacturing Companies.- Systems Engineering Approach to Identify Requirements for Digital Twins Development.- Manufacturing Operations Management for Smart Manufacturing - A Case Study.- Industry 4.0 on demand: a value driven methodology to implement Industry 4.0.- Gamification of Operational Tasks in Manufacturing - A Literature Review.- Technology Adoption in the Industry 4.0 Era: Empirical Evidence from Manufacturing Companies.- Towards the definition of an Impact Level factor of SME features over Digital Transformation.- Industry 4
• .0: maturity of automotive companies in Brazil for the digitization of processes.- General readiness assessment of Industry 4
• .0: Evidence from Serbian manufacturing industry.- Digital and Virtual Quality Management Systems.- Assembly issue resolution system using machine learning in aero engine manufacturing.- Introduction to Material Feeding 4
• .0: strategic, tactical, and operational impact.- Cloud-Manufacturing.- Cycle Time Estimation Model for Hybrid Assembly Stations based on Digital Twin Concept.- Cyber-Physical Production Systems and Digital Twins.- Digital Shadows as an enabler for the internet of production.- The transformation towards smart(er) factories: integration requirements of the digital twin.- IIOT Interoperability.- Towards inter-operable enterprise systems - graph-based validation of a context-driven approach for message profiling.- Supply Chain Planning and Optimization.- Software-based Assistance System for Decision Support on Supply Chain Level.- Integration of triple sustainable management by considering multi-period supply chain for next-generation fuel.- Potential benefits of Reverse Blending in the fertilizer industry.- Effectiveness of Vendor Managed Inventory [VMI] in Explosive Inventory Management.- Value chain integration - a framework for assessment.- A dynamic hybrid Berth Allocation Problem with routing constraints in bulk ports.- Blockchain-based secured collaborative model for supply chain resource sharing and visibility.- Gripper types and components in robotic bin picking.- A stochastic model for a two-level disassembly lot-sizing problem under random lead time.- Digital and Smart Supply Chain Management.- ERP in Industry 4.0 Context.- Identifying the opportunities for enhancing the digital readiness level of the supply chain.- Intelligent Logistics Networks Management.- The Role of Last-Mile Delivery in the Future of E-commerce.- Production-storage and transport integratedplanning for a multi-site mining industry.- Artificial Intelligence and Blockchain Technologies in Logistics and DSN.- Evaluating a Blockchain-based supply chain purchasing process through simulation.- Questionnaire model for paraconsistent quality assessment of software developed in Sales Force.- Novel Production Planning & Control Approaches.- Supporting the Decision of the Order Processing Strategy by using Logistic Models: A Case Study.- Order acceptance and scheduling with a throughput diagram.- Machine Learning and Artificial Intelligence.- Machine Learning-Supported Planning of Lead Times in Job Shop Manufacturing.- Connected, Smart Factories of the Future.- Identifying Key Business Processes that Can Benefit from Industry 4.0 in the Gas Sector, The Public Gas Distribution Networks Case in Greece.- The impact of Industry 4.0 connectivity on the collaboration along Brazilian automotive supply chain.- Manufacturing Systems Engineering: Agile, Flexible, Reconfigurable.- Towards a reference model for configuration of reconfigurable manufacturing system (RMS).- Automatic Design of Dispatching Rules with Genetic Programming for Dynamic Job Shop Scheduling.- A Literature review on the Level of Automation and new approach proposal.- De-risking investments in industrial systems using Real Options Analysis: Case of chemical industry.- Data-driven Replenishment Method Choice in a Picking System.- Business Process Management for Manufacturing Execution System deployment: some lessons from a bearings manufacturer experience.- An Application of a DSML in Industry 4.0 Production Processes.- Towards an Industry-Applicable Design Methodology for Developing Reconfigurable Manufacturing.- Reconfigurable Manufacturing: Lesson Learnt from the COVID-19 Outbreak.- Digital Assistance Systems: Augmented Reality and Virtual Reality.- Virtual and Augmented reality as a digital support to HR systems in production management.- Application of Virtual Reality Technologies for Achieving Energy Efficient Manufacturing: Literature Analysis and Findings.- Smart Products in Smart Manufacturing Systems: An Opportunity to Utilize AR?.- Evaluation of Augmented Reality in Industry.- Circular Products Design and Engineering.- Finding and Capturing Value in e-Waste for Refrigerators Manufacturers and Recyclers.- Circular, Green, Sustainable Manufacturing.- Sustainable Business Model Innovation in Furniture Supply Chain: A Case Study.- A basic study on scheduling method for electric power saving of production machine.- Sustainability in fabric chains and garments for a circular economy.- Planning environments of hospital laboratories: An exploratory study.- Knowledge and practices towards sustainability and circular economy transitions: A Norwegian manufacturing perspective.- A methodology to integrate sustainability evaluations into vendor rating.- Environmental and Social Lifecycle Assessments.- Travel-Times Analysis and Passenger Transport Disutilities in Congested American Cities: Los Angeles, New York, Atlanta, Austin, and Chicago.- Socio-Cultural Aspects in Production Systems.- The interdependencies of Quality Management, Knowledge Management and Innovation Performance. A literature review.- Insights from a top-down lean subprogram deployment in a corporate group: The use of deployment tactics.- Tools for Evaluating Human Factor Aspects in Production and Logistics System.- Economy and its symbiosis with Circularity.- Data-driven Manufacturing and Services Operations Management.- First Steps to the Digital Shadow of Maintenance Services' Value Contribution.- Reshoring of service operations: evidence from a Delphi study.- Digital and physical testbed for production logistics operations.- Principles and Research Agenda for Sustainable, Data-Driven Food Production Planning and Control.- Product-Service Systems in DSN.- Agile guideline for development of smart services in manufacturing enterprises with support of artificial intelligence.- Collaborative Design and Engineering.- Framework for identifying gripper requirements for collaborative applications in manufacturing.- A novel value driven co-creation framework.- Autonomous mobile robots in hospital logistics.- Interorganizational learning in manufacturing industry.
• (source: Nielsen Book Data)

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.
(source: Nielsen Book Data)

• The Operator 4
• .0: New Physical and Cognitive Evolutionary Paths.- Facilitating Operator Participation in Continuous Improvement: An Investigation of Organizational Factors.- Improving the Safety of Using Didactic Setups by Augmented Reality.- Production Management as-a-Service: A Softbot Approach.- Knowledge Strategies for Organisation 4.0.- Challenges for the Operator 3.0 Addressed Through the Enabling Technologies of the Operator 4.0.- Agent- and Skill-based Process Interoperability for Socio-Technical Production Systems-of-Systems.- Digital Transformation Approaches in Production Management.- Challenges in Data Life Cycle Management for Sustainable Cyber-Physical Production Systems.- Explainable AI in Manufacturing: A Predictive Maintenance Case Study.- Retrofit Concept for Textile Production.- Organizational enablers for digitalization in manufacturing industry.- Concept of PLM application integration with VR and AR techniques.- The big potential of Big Data in manufacturing: evidence from emerging economies.- A conceptual model for deploying digitalization in SMEs through capability building.- The Potential of Game Development Platforms for Digital Twins and Virtual Labs: Case Study of an Energy.- The Application of ICT Software Solutions in Manufacturing Sector in Serbia.- Achieving Business Model Innovation with the Personalized Product Business Model Radar Template.- Integrating electronic components into 3D printed parts to develop a digital manufacturing approach.- Digital transformation and its potential effects on future management: Insights from an ETO context.- Applying contextualization for data-driven transformation in manufacturing.- Digital Transformation for more Sustainable Supply Chains.- Smart contract-based blockchain solution to reduce supply chain risks.- Towards sustainability: The manufacturers' perspective.- Data-Driven Applications in Smart Manufacturing and Logistics Systems.- Smart Factory Competitiveness based on real time Monitoring and Quality predictive model applied to multi-stages Production lines.- A New Application of Coordination Contracts for Supplier Selection in a Cloud Environment.- Workforce Assignment with a Different Skill Level for Automotive Parts Assembly Lines.- A framework of data-driven dynamic optimisation for smart production logistics.- Decentralized Industrial IoT Data Management Based on Blockchain and IPFS.- Integrated Platform and Digital Twin Application for Global Automotive Part Suppliers.- Analyzing the Characteristics of Digital Twin and Discrete Event Simulation in Cyber Physical Systems.- Streaming Analytics in Edge-Cloud Environment for Logistics Processes.- An Improvement in Master Surgical Scheduling using Artificial Neural Network and Fuzzy Programming.- SKOS Tool: A Tool for Creating Knowledge Graphs to Support Semantic Text Classification.- Data-Driven Services: Characteristics, Trends and Applications.- The successful commercialization of a digital twin in an industrial product service system.- Using Service Dominant logic to assess the value co-creation of Smart Services.- Engineering of data-driven Service Systems for Smart Living: Application and Challenges.- The role of service business models in the manufacturing of transition economies.- System architecture analysis with network index in MBSE approach -Application to smart interactive service with digital health modeling.- The Data-Driven Product-Service Systems Design and Delivery (4DPSS) methodology.- Data-driven maintenance delivery framework: test in an Italian company.- Towards a Comparative Data Value Assessment Framework for Smart Product Service Systems.- Impact of platform openness on ecosystems and value streams in Platform-based PSS exemplified using RAMI 4.0.- Industry 4.0 data-related technologies and servitization: a systematic literature review.- A framework to support value co-creation in PSS development.- The Future of Lean Thinking and Practice.- Utilizing Lean Thinking as a Means to Digital Transformation in Service Organizations.- On the Need of Functional Priority and Failure Risk Assessment to Optimize Human Resource Allocation in Public Service Organizations.- Assessing the Value of Process Improvement Suggestions.- On the Necessity for Identifying Waste in Knowledge Work Dominated Projects: A Case Study from Oil and Gas-Related Product Development Projects.- Lean Thinking: from the shop floor to an organizational culture.- Digital Lean Manufacturing and its Emerging Practices.- A Learning Roadmap for Digital Lean Manufacturing.- Investigating the Challenges and Opportunities for Production Planning and Control in Digital Lean Manufacturing.- New Forms of Gemba Walks and their Digital Tools in the Digital Lean Manufacturing World.- New Reconfigurable, Flexible or Agile Production Systems in the Era of Industry 4.0.- A computational method for identifying the optimum buffer size in the era of Zero Defect Manufacturing.- A Bi-objective Scheduling Model for Additive Manufacturing with Multiple Materials and Sequence-dependent Setup Time.- Dynamic Distributed Job-Shop Scheduling Problem Consisting of Reconfigurable Machine Tools.- Towards a Non-Disruptive System for Dynamic Orchestration of the Shop Floor.- Assembly process design: performance evaluation under ergonomics consideration using several robot collaboration modes.- A Method of Distributed Production Management for Highly-Distributed Flexible Job Shops.- A Digital Twin modular framework for Reconfigurable Manufacturing Systems.- Reconfigurable Digitalized and Servitized Production Systems: Requirements and Challenges.- The impact of dynamic tasks assignment in paced mixed-model assembly line with moving workers.- Balancing and configuration planning of RMS to minimize energy cost.- Operations Management in Engineer-to-Order Manufacturing.- Factors affecting shipyard operations and logistics: A framework and comparison of shipbuilding approaches.- Using the Smartphone as an Augmented Reality Device in ETO Industry.- Exploring the Path Towards Construction 4
• .0: Collaborative Networks & Enterprise Architecture Views.- The Potential for Purchasing function to Enhance Circular Economy Business Models for ETO production.- Planning procurement activities in ETO projects.- Maturity model for successful cost transformation in ETO companies.- Backlog Oriented Bottleneck Management - Practical Guide for Production Managers.- Cross-functional coordination before and after the CODP: an empirical study in the machinery industry.- Production Management in Food Supply Chains.- Food Bank: A Proposal for Short Agri-Food Chains.- The New Frontiers in World Soybean Production: An Analysis of Savanna in Piaui, Brazil.- Prediction of cold chain transport conditions using data mining.- Environmental impact classification of perishable on-road transport using data mining.- Economic and Environmental Perfomance in Coffee Supply Chains: A Brazilian Case Study.- Managing Perishable Multi-Product Inventory with Supplier Fill-Rate, Price Reduction and Substitution.- Digital Technology Enablers for Resilient and Customer Driven Food Value Chains.- Gastronomic Service System Design.- Human-Robot Hybrid Service System Introduction for Enhancing Labor and Robot Productivity.- Forecasting Customers Visiting using Machine Learning and Characteristics Analysis with Low Forecasting Accuracy Days.- A study on menu planning method for managed meal -Consideration of the cost of ordering ingredients.- Service system design considering employee satisfaction.- Product and Asset Life Cycle Management in the Circular Economy.- Exploring synergies between Circular Economy and Asset Management.- Information flows supporting Circular Economy adoption in the manufacturing sector.- A conceptual model of the IT ecosystem for Asset Management in the global manufacturing context.- Production Ramp-up Strategies for Product.- Part Selection for Freeform Injection Molding: framework for development of a unique methodology.- A Model for Cost-Benefit Analysis of Production Ramp-up Strategies.- Key factors on utilizing the production system design phase for increasing operational performance.- Business Model Development for a Dynamic Production Network Platform.- Changeable Closed-Loop Manufacturing Systems: A Case Study of Challenges in Product Take-Back.
• (source: Nielsen Book Data)

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.
(source: Nielsen Book Data)

• Part I Holonic and Agent-based Industrial Automation Systems.- Part II Service-oriented Management and Control of Manufacturing Systems.- Part III Distributed Modelling for Safety and Security in Industrial Systems.- Part IV Complexity, Big Data and Virtualization in Computing-oriented Manufacturing.- Part V Adaptive, Bio-inspired and Self-organized Multi-Agent Systems for Manufacturing.- Part VI Physical Internet Simulation, Modelling and Control.
• (source: Nielsen Book Data)

This volume gathers the peer reviewed papers presented at the 4th edition of the International Workshop "Service Orientation in Holonic and Multi-agent Manufacturing - SOHOMA'14" organized and hosted on November 5-6, 2014 by the University of Lorraine, France in collaboration with the CIMR Research Centre of the University Politehnica of Bucharest and the TEMPO Laboratory of the University of Valenciennes and Hainaut-Cambresis. The book is structured in six parts, each one covering a specific research line which represents a trend in future manufacturing: (1) Holonic and Agent-based Industrial Automation Systems; (2) Service-oriented Management and Control of Manufacturing Systems; (3) Distributed Modelling for Safety and Security in Industrial Systems; (4) Complexity, Big Data and Virtualization in Computing-oriented Manufacturing; (5) Adaptive, Bio-inspired and Self-organizing Multi-Agent Systems for Manufacturing and (6) Physical Internet Simulation, Modelling and Control. There is a clear orientation of the SOHOMA'14 workshop towards complexity, which is a common view of all six parts. There is need for a framework allowing the development of manufacturing cyber physical systems including capabilities for complex event processing and data analytics which are expected to move the manufacturing domain closer towards cloud manufacturing within contextual enterprises. Recent advances in sensor, communication and intelligent computing technologies made possible the Internet connectivity of the physical world: the Physical Internet, where not only documents and images are created, shared, or modified in the cyberspace, but also the physical resources and products interact over Internet and make decisions based on shared communication.
(source: Nielsen Book Data)