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 IV / 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 ; 633

IFIP Advances in Information and Communication Technology, 1868-422X ; 633

Language:

English

Subjects (All):

Computer-aided engineering.

Application software.

Artificial intelligence.

Electronic commerce.

Computer engineering.

Computer networks.

Coding theory.

Information theory.

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

Computer and Information Systems Applications.

Artificial Intelligence.

e-Commerce and e-Business.

Computer Engineering and Networks.

Coding and Information Theory.

Local Subjects:

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

Computer and Information Systems Applications.

Artificial Intelligence.

e-Commerce and e-Business.

Computer Engineering and Networks.

Coding and Information Theory.

Physical Description:

1 online resource (XXVI, 737 pages) : 218 illustrations, 173 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:

AI for Resilience in Global Supply Chain Networks in the Context of Pandemic Disruptions

Covid-19 Ripple Effect and global supply chain productivity impacts through pandemic propagation modelling

A vector logistic dynamical approach to epidemic evolution on interacting social-contact and production-capacity graphs, and its proxy economic cost assessment

Stochastic Logistic Shocks on Supply Chain Networks

Towards explainable artificial intelligence (XAI) in supply chain management: a typology and research agenda

Distribution of Vaccines During a Pandemic (Covid-19)

Blockchain in the Operations and Supply Chain Management

Blockchain-based master data management in supply chains: a design science study

Blockchain for Product Authenticity in the Cannabis Supply Chain

A Blockchain-based Manufacturing Service Composition Architecture for Trust Issues

An Approach for Creating a Blockchain Platform for Smart Labeling and Tracing Wines and Spirits

Blockchain design for digital supply chain integration

Data-Based Services as Key Enablers for Smart Products, Manufacturing and Assembly

Customer Order Scheduling in an Additive Manufacturing Environment

A Conceptual Reference Model for Smart Factory Production Data

Generating Synthetic Training Data for Assembly Processes

Data Acquisition for Energy Efficient Manufacturing: A Systematic Literature Review

Review of Factors influencing Product-Service System Requirements along the Life Cycle

Data-Driven Methods For Supply Chain Optimization

Data-Driven Solutions for the Newsvendor Problem: A Systematic Literature Review

An Information Sharing Framework for Supply Chain Networks: What, When, and How to Share

A robust data driven approach to supply planning

Responsible Manufacturing with Information Disclosure under Regulatory Inspections

Understanding supply chain visibility through experts' perspective: A Delphi based approach

Digital Twins Based on Systems Engineering and Semantic Modeling

STARdom: an architecture for trusted and secure human-centered manufacturing systems

.Semantic Modeling Supports the Integration of Concept-Decision-Knowledge

Model-based Systems Engineering Supporting Integrated Modeling and Optimization of Radar Cabin Layout

Supporting Digital Twin Integration Using Semantic Modeling and High-Level Architecture

Digital Twin-driven Approach for Smart City Logistics: The Case of Freight Parking Management

Digital Twins in Companies First Developments and Future Challenges

The Advent of the Digital Twin: A Prospective in Healthcare in the Next Decade

Reviewing the application of data driven digital twins in manufacturing systems: a business and management perspective

Improving a manufacturing process using recursive artificial intelligence

Digital Twin in the agri-food supply chain: a literature review

A Digital Twin implementation for manufacturing based on open-source software and standard control systems

Human-Centered Artificial Intelligence in Smart Manufacturing for the Operator 4.0

Towards Active Learning Based Smart Assistant for Manufacturing

Human-AI Collaboration in Quality Control with Augmented Manufacturing Analytics

Digital Platform and Operator 4.0 Services for Manufacturing Repurposing during COVID19

Anatomy of a digital assistant

Human in the AI Loop in Production Environments

Operations Management in Engineer-To-Order Manufacturing

Value Stream Mapping for knowledge work: a study from project-based engineering-to-order organization

Servitization in Engineer to Order Companies: a Systematic Literature Review

The unexpected consequences of the Covid 19 on managing ETO projects

Requirements for Sales and Operations Planning in an Engineer-to-Order Manufacturing Environment

A systematic approach to implementing multi-sourcing strategy in engineer-to-order production

Product and Asset Life Cycle Management for Smart and Sustainable Manufacturing Systems

A holistic approach to PLI in Smart Maintenance towards sustainable Manufacturing

Sustainable maintenance performances and EN 15341:2019: an integration proposal

System-level Overall Equipment Effectiveness for improving Asset Management performance: a case study application

Semantic Interoperability and Sustainability an Industry 4.0 Product Life Cycle issue

The Concept of Sustainable Maintenance Criteria Assessment

Cost Projections for the Product Life Cycle at the Early Stages of Product Development

Robotics Technologies for Control, Smart Manufacturing and Logistics

Redundancy Resolution in Kinematic Control of Serial Manipulators in Multi-Obstacle Environment

Automatic Drones for Factory Inspection: The Role of Virtual Simulation

Geometric error modeling and sensitivity analysis of a laser pipe-cutting system based on Lie group and Sobol method

Tensegrity Morphing: Machine Learning-based Tensegrity Deformation Predictor for Traversing Cluttered Environments

Seed-and-Prune Approach for Rapid Discovery of Tensegrity-like Structures of the Desired Shape

Serious Games Analytics: Improving Games and Learning Support

Experiencing the Role of Cooperation and Competition in Operations and Supply Chain Management with a Multiplayer Serious Game

Towards a serious game on data sharing in business ecosystems

Accessibility Considerations in the Design of Serious Games for Production and Logistics

Smart and Sustainable Production and Supply Chains

Achieving Circular and Efficient Production Systems: Emerging Challenges from Industrial Cases

Value stream mapping (VSM) to evaluate and visualize interrelated process-chains regarding Circular Economy

Research on a preannounced pricing policy in a two-period dual-channel supply chain

Sustainable and Resilience improvement through the Design for Circular Digital Supply Chain

A literature review on smart technologies and logistics

A robust optimization model for a 2-service community healthcare service network problem

A Review of Explainable Artificial Intelligence in Production

The Impact of the Number of Regulated Suppliers in Sustainable Supply Chains on Corporate Financial Performance

Digitalization for resilience and sustainability during the Covid-19 pandemic: an explorative event study

Smart Methods and Techniques for Sustainable Supply Chain Management

Minimising total costs of a Two-Echelon Multi-Depot Capacitated Vehicle Routing Problem (2E-MD-CVRP) that describes the utilisation of the Amsterdam city canal network for last mile parcel delivery

Evaluating the deployment of collaborative logistics models for local delivery services

Suppliers selection ontology for viable digital supply chain performance

Green supply chain management: a meta-analysis of recent reviews

Development of an Eco-efficiency distribution Model: A Case Study of a Danish Wholesaler

The New Digital Lean Manufacturing Paradigm

The automation of lean practices: digitalized or digitally wasted?

Study of the Predictive Mechanism with Big Data-Driven Lean Manufacturing and Six Sigma Methodology

Industry 4.0: expectations, impediments and facilitators

Digital Tools for lean manufacturing: the need for proper implementation

Reflections from a hybrid approach used to develop a specification of a shopfloor platform for Smart Manufacturing in an engineered-to-order SME

The Role of Emerging Technologies in Disaster Relief Operations: Lessons from COVID-19

Shelter location-allocation problem with vulnerabilities of network and disruption of shelter during response phase of disaster

Technologies helping Smart Cities to build Resilience: focus on COVID-19

Key success factors for supply chain sustainability in COVID-19 pandemic: an ISM approach.

Other Format:

Printed edition:

ISBN:

978-3-030-85910-7

9783030859107

Access Restriction:

Restricted for use by site license.