Produktbild: Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments
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Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments 43rd IFIP WG 5.7 International Conference, APMS 2024, Chemnitz, Germany, September 8-12, 2024, Proceedings, Part IV

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

07.09.2024

Abbildungen

XIV, 478 p. 178 illus., 153 illus. in color.

Herausgeber

Matthias Thürer + weitere

Verlag

Springer

Seitenzahl

478

Maße (L/B/H)

23,5/15,5/2,7 cm

Gewicht

739 g

Sprache

Englisch

ISBN

978-3-031-71635-5

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

07.09.2024

Abbildungen

XIV, 478 p. 178 illus., 153 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

478

Maße (L/B/H)

23,5/15,5/2,7 cm

Gewicht

739 g

Sprache

Englisch

ISBN

978-3-031-71635-5

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: GPSR Kontakt

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  • Produktbild: Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments
  • .- Digital Transformation Approaches in Production and Management.

    .- Leveraging Sentiment Analysis and Reporting for Re-Designing Business Processes using Large Language Models: A SentiProMo Case Study in Airline Check-In Processes.

    .- Development of a Framework for Data-Supported Personas.

    .- Fuzzy Maturity Model for Transformative Procurement Readiness: Procurement 4.0 perspective.

    .- Guiding Process Mining Projects with the IPMM Framework: A Case Study with a German Manufacturer.

    .- Assessing Additive Manufacturing and Digital Inventory Ecosystem in the Oil & Gas Context.

    .- Unlocking the potential of blockchain in road freight transportation operations.

    .- Digital Transformation Towards Human-Centricity: A Systematic Literature Review.

    .- Literature Review on the Current State-of-the-Art in Research and Technological Advancements in the Field of Machine Learning applied to Predictive Maintenance.

    .- Coordinating Digital Transformation: Exploring IT Organizational Adaptations in International Manufacturing Networks.

    .- Building Digital Capabilities in Manufacturing SMEs.

    .- Dashboard Development for the Quality Department of a Company from the Automotive Industry.

    .- Digitalizing Smallholder Farmer Agri-Food Supply Chains: A Case Study from a Developing Economy.

    .- Let them eat data – a concept that allows us to share data from farm to fork (and back to the farm.

    .- Simplifying data analysis: A visualization framework and practical application for complex BEV data.

    .- Integrating AI with lean manufacturing in the context of industry 4.0/5.0: Current Trends and Applications.



    .- New Horizons for Intelligent Manufacturing Systems with IoT, AI, and Digital Twins.

    .- Dynamic pricing for fashion supply chain with blockchain supported value authentication.

    .- An Explorative Study of AI Applications in Composite Material Extrusion Additive Manufacturing.

    .- Explainable Artificial Intelligence in Manufacturing Operations: a bibliometric analysis.

    .- Pre-Post Analysis on Multi-Skill Development using Flow Line Data at Expressway Service Area Facilities.

    .- Human – Data Analytics Interaction through Voice Assistance in Electric Vehicle’s Battery Testing.

    .- Towards a Maturity Model for Intelligent Digital Twins in Manufacturing.

    .- Information Modeling for Data-driven Digital Twin Simulation: Insights from Case Studies of Port Logistics and Urban Traffic Systems.

    .- Lenses on Data: Toward an Application Perspective on Data in Manufacturing.

    .- A Methodology for Identification of Reconfigurability Enablers and Application in a Manufacturing System.

    .-Computer Vision-based Digital Twin and Digital Services for Dynamic Production and Logistics Environment.

    .- Digital Twin-driven Reinforcement Learning for Dynamic Path Planning of AGV Systems.

    .- Instance Segmentation and Digital Twin Use Case for WIP Tracking in Heavy Industry.

    .- An Authoring Tool for Mixed Reality Interfaces for Digital Twins in Manufacturing.

    .- Advanced Time Block Analysis for Manual Assembly Tasks in Manufacturing through Machine Learning Approaches.

    .- Digital Twins (DT) applied to the customization of 3D printed Scara robots using intelligent manufacturing.

    .- Centering on humans - Intersectionality in vision systems for human order picking.

    .- Graph-to-sequence Approach for Job shop Scheduling Problem.

    .- Product-centric Simulation for Proactive Evaluation of Production Plan in Shipyard.

    .- A Mobile Air-Purification Device and Digital Twin for Managing Hazardous Gases at Industrial Sites.