E-grāmata: 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

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.