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Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems: IFIP WG 5.7 International Conference, APMS 2021, Nantes, France, September 59, 2021, Proceedings, Part IV 2021 ed. [Mīkstie vāki]

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  • Formāts: Paperback / softback, 737 pages, height x width: 235x155 mm, weight: 1151 g, 173 Illustrations, color; 45 Illustrations, black and white; XXVI, 737 p. 218 illus., 173 illus. in color., 1 Paperback / softback
  • Sērija : IFIP Advances in Information and Communication Technology 633
  • Izdošanas datums: 03-Sep-2022
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030859126
  • ISBN-13: 9783030859121
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Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems: IFIP WG 5.7 International Conference, APMS 2021, Nantes, France, September 59, 2021, Proceedings, Part IV 2021 ed.Palielināt
  • Formāts: Paperback / softback, 737 pages, height x width: 235x155 mm, weight: 1151 g, 173 Illustrations, color; 45 Illustrations, black and white; XXVI, 737 p. 218 illus., 173 illus. in color., 1 Paperback / softback
  • Sērija : IFIP Advances in Information and Communication Technology 633
  • Izdošanas datums: 03-Sep-2022
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030859126
  • ISBN-13: 9783030859121
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783030859121.html
Keywords:
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 techniquesfor 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.
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.- Blockchaindesign 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 andstandard 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
technologiesand 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.- TheNew 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.