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 / edited by Alexandre Dolgui, Alain Bernard, David Lemoine, Gregor von Cieminski, David Romero.

Format:

Book

Contributor:

Dolgui, A. (Alexandre), Editor.

Bernard, Alain, Editor.

Lemoine, David., Editor.

Von Cieminski, Gregor, Editor.

Romero, David, Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

IFIP advances in information and communication technology 1868-422X ; 630

IFIP Advances in Information and Communication Technology, 1868-422X ; 630

Language:

English

Subjects (All):

Computer-aided engineering.

Application software.

Computer engineering.

Computer networks.

Artificial intelligence.

Algorithms.

Electronic commerce.

Computer-Aided Engineering (CAD, CAE) and Design.

Computer and Information Systems Applications.

Computer Engineering and Networks.

Artificial Intelligence.

Design and Analysis of Algorithms.

e-Commerce and e-Business.

Local Subjects:

Computer-Aided Engineering (CAD, CAE) and Design.

Computer and Information Systems Applications.

Computer Engineering and Networks.

Artificial Intelligence.

Design and Analysis of Algorithms.

e-Commerce and e-Business.

Physical Description:

1 online resource (XXVI, 769 pages) : 247 illustrations, 160 illustrations in color.

Edition:

1st ed. 2021.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2021.

System Details:

text file PDF

Summary:

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.

Contents:

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

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.

Other Format:

Printed edition:

ISBN:

978-3-030-85874-2

9783030858742

Access Restriction:

Restricted for use by site license.