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

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 technologi...

Full description

Bibliographic Details
Other Authors: Dolgui, Alexandre (Editor), Bernard, Alain (Editor), Lemoine, David (Editor), von Cieminski, Gregor (Editor)
Format: eBook
Published: Cham Springer International Publishing 2021, 2021
Edition:1st ed. 2021
Series:IFIP Advances in Information and Communication Technology
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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?