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

IFIP WG 5.7 International Conference, APMS 2021, Nantes, France, September 5–9, 2021, Proceedings, Part I

Inbunden, Engelska, 2021

AvAlexandre Dolgui,Alain Bernard,David Lemoine,Gregor von Cieminski,David Romero,Gregor von Cieminski

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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.

Produktinformation

Utgivningsdatum2021-09-01
Mått155 x 235 x 48 mm
Vikt1 344 g
FormatInbunden
SpråkEngelska
SerieIFIP Advances in Information and Communication Technology
Antal sidor769
FörlagSpringer Nature Switzerland AG
ISBN9783030858735

Tillhör följande kategorier

Tillämpad datateknik inom Data och IT
Systemvetenskap och AI inom Data och IT
Hårdvara inom Data och IT
E-handel inom Ekonomi och Ledarskap
Artificiell intelligens inom Data och IT
CAD-program inom Data och IT

Artificial Intelligence Based Optimization Techniques for Demand-Driven Manufacturing.- Goods and Activities Tracking Through Supply Chain Network Using Machine Learning Models.- Long term demand forecasting system for demand driven manufacturing.- FBD_Bmodel Digital Platform: a web-based application for demand driven fashion supply chain.- Data-driven approach for Credit Card FraudDetection with Autoencoder and One-ClassClassification techniques.- A model for a multi-level disassembly system under random disassembly lead times-. Hybrid Approaches for Production Planning and Scheduling.- Scheduling of parallel 3D-printing machines with incompatible job families: A Matheuristic algorithm.- An Iterated Greedy Matheuristic for Scheduling in Steelmaking-Continuous Casting Process.- Hybridization of mixed-integer linear program and discrete event systems for robust scheduling on parallel machines.- An unrelated parallel machines rescheduling problem: an industrial case study.-Tactical planning and predictive maintenance: towards an integrated model based on epsilon-reliability.- Intelligent Systems for Manufacturing Planning and Control in the Industry 4.0.- Comparison between product and process oriented Zero-Defect Manufacturing (ZDM) approaches.- Industry 4.0: An Indian perspective.- Opportunities of Blockchain Traceability Data for Environmental Impact Assessment in a Context of Sustainable Production.- Demand forecasting for an automotive company with neural network and ensemble classifiers approaches.- A deep learning algorithm for the throughput estimation of a CONWIP line.- Dynamic scheduling in a flow shop using Deep Reinforcement Learning.- A Text Understandability Approach for Improving Reliability-Centered Maintenance in Manufacturing Enterprises.- Manufacturing strategy dimensions as I4.0 performance antecedents in developing economies.- Exploring Interdependency Effects of Production Orders as Central Impact Factors of Logistics Performance in Manufacturing Systems.- Design of a Li-Fi Transceiver for Distributed Factory Planning Applications.- Metamodeling of Deteriorating Reusable Articles in a Closed Loop Supply Chain.- Risk Assessment and Mitigation for Industry 4.0: Implementation of a Digital Risk Quick Check.- Digital Twin Framework for Machine-Learning Enabled Integrated Production and Logistics Processes.- A smart contracts and tokenization enabled permissioned blockchain framework for the Food Supply Chain.- Learning and Robust Decision Support Systems for Agile Manufacturing Environments.- Due date-related Order Prioritization for Scheduling with Decision Support in Dynamic Environments.- Knowledge graphs in digital twins for AI in production.- Smart short term capacity planning: A reinforcement learning approach.- Reactive Scheduling by Intelligent DSS.- Worker in the loop: a framework for enabling Human-Robot collaborative assembly.- Decision Support on the Shop Floor Using Digital Twins: Architecture and Functional Components for Simulation-Based Assistance.- A taxonomy for resistance concepts in manufacturing networks.- Real-time machine learning automation applied to failure prediction in automakers supplier manufacturing system.- Resilient Project Scheduling Using Artificial Intelligence: a Conceptual Framework.- A digital twin-driven methodology for material resource planning under uncertainties.- Low-Code and Model-Driven Engineering for Production System.- Towards Development Platforms for Digital Twins: A Model-Driven Low-Code Approach.- A Low-Code Development Environment to Orchestrate Model Management Services.- Towards Twin-Driven Engineering: Overview of the State-of-the-Art and Research Directions.- Developing a bi-objective model to configure a scalable manufacturing line considering energy consumption.- Single machine Order Acceptance Scheduling with periodic energy consumption limits.- A MILP Model for Energy-Efficient Job Shop Scheduling Problem and Transport Resources.- Designing Bioenergy Supply Chains under Social Sustainability Constraints.- Meta-Heuristics and Optimization Techniques for Energy-Oriented Manufacturing Systems.- Developing a bi-objective model to configure a scalable manufacturing line considering energy consumption.- Single machine Order Acceptance Scheduling with periodic energy consumption limits.- A MILP Model for Energy-Efficient Job Shop Scheduling Problem and Transport Resources.- Designing Bioenergy Supply Chains under Social Sustainability Constraints.- Metaheuristics for Production Systems.- Multi-objective genetic algorithm to reduce setup waste in a single machine with coupled-tasks scheduling problem.- Tabu search algorithm for single and multi-model line Balancing problems.- A Distributed Model for Manufacturing Scheduling: Approaching the EDGE.- Scheduling jobs on unrelated machines with job splitting and setup resource constraints for weaving in textile manufacturing.- Comparison of metaheuristics and exact method for the dynamic line rebalancing problem.- Modern Analytics and New AI-Based Smart Techniques for Replenishment and Production Planning Under Uncertainty.- A Probabilistic Estimation of Perfect Order Parameters.- Inventory and Commitment Decisions for On-demand Warehousing System.- Effect of Informed Demand Lead Time under Imperfect Advance Demand Information.- Tool for nervousness analysis in a rolling planning environment via historical data.- A Preliminary Overview of Ramp-up Management Practices in Crisis Context.- Optimization of a Periodic Review Joint Replenishment Policy for a Stochastic Inventory System.- CGA-Based Optimal (r, Q) Policy Tuning in Goods Distribution Systems with Complex Topologies.- Multi-period Multi-sourcing Supply Planning with Stochastic Lead-times, Quantity-dependent Pricing, and Delivery Flexibility Costs.- System Identification for Manufacturing Control Applications.- Multi-Step Problem of Inventory Control with Returns.- Expert-Classification Methods for Estimation of the Structure and Parameters of Controlled Queueing Systems.- Simulation Experiment in a Virtual Laboratory Environment as a Ground for Production Competencies Acquiring.- Identification of Nonlinear Dynamic Systems Structured by Expanded Wiener Model.- Data Analysis and Production Process Control.- Management Projects for Digital Ecosystems of Automotive Enterprises: Truck Sharing.- Formation of work plans and schedules at enterprises with conveyor assembly.- Resolution Estimates for Selected Coordinate Descent: Identification of Seismic Structure in the Area of Geothermal Plants.- Product Quality Improvement based on Process Capability Analysis.- Software Architecture for an Active Device Driver in Reconfigurable Manufacturing Systems.- Price-to-Quality Ratio Dependent Demand: Keeping the Intensity of Demand Constant.- Identification of Integrated Rating Mechanisms on Complete Data Sets.- Application of Linear Random Processes to Construction of Diagnostic System for Power Engineering Equipment.- Construction of multi-step price forecasts in commodity markets based on qualitative and quantitative data analysis methods.- The Future of Lean Thinking and Practice.- More checks for less waste in the lamination process of a shipbuilding company pursuing Lean Thinking.- Implementation of 5S+S for knowledge work in engineering projects.- A Lean approach for multi-criteria decision-making in public services’ strategy deployment.- Lean Six Sigma in knowledge work: A case study from policing and prosecution services.- Industry and Services: different Organizational Cultures, same Openness to Lean Implementation?.- An Enhanced Data-Driven Algorithm for Shifting Bottleneck Detection.- Practical Estimation of the Impact of a Reduction of the Number of Kanban Cards on the Delivery Performance.- Lean Production and industry 4.0 Technologies: Link and interactions.- Heijunka 4.0 – Key Enabling Technologies for Production Levelling in the Process Industry.- Towards an Economic Theory of Lean.- Reshaping the concepts of Job Enrichment and Job Enlargement: the impacts of Lean and Industry 4.0.- Managing Variability in Production.- Realizing value opportunities for a Circular Economy: Integrating Extended Value Stream Mapping and Value Uncaptured Framework.- Exploring the link between lean practices and sources of uncertainty in Supply Chain.- Transition towards Circular Economy: An intraorganizational perspective identifying knowledge wastes.