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  • Intelligent Systems in Production Engineering and Maintenance IV: Volume 2: Production Engineering

    Intelligent Systems in Production Engineering and Maintenance IV by Burduk, Anna; Janmanee, Pichai; Batako, Andre D. L.;

    Volume 2: Production Engineering

    Series: Lecture Notes in Mechanical Engineering;

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      • Publisher's listprice EUR 235.39
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        97 628 Ft (92 979 Ft + 5% VAT)
      • Discount 20% (cc. 19 526 Ft off)
      • Discounted price 78 102 Ft (74 383 Ft + 5% VAT)

    97 628 Ft

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    Product details:

    • Publisher Springer Nature Switzerland
    • Date of Publication 20 August 2025
    • Number of Volumes 1 pieces, Book

    • ISBN 9783032015167
    • Binding Paperback
    • No. of pages594 pages
    • Size 235x155 mm
    • Language English
    • Illustrations XIX, 594 p. 222 illus., 156 illus. in color.
    • 680

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    Long description:

    This book reports on intelligent systems and methods applied to engineering production and maintenance. Being the second of two volumes, it specifically focuses on advanced tools for optimizing manufacturing processes, increasing their automation, safety, and sustainability. It covers cutting-edge topics in quality control, predictive maintenance, green supply chain and circular economy, and their significance for different industries. Based the 5th International Conference on Intelligent Systems in Production Engineering and Maintenance, ISPEM 2025, held on June 25-27, 2025, in Wroclaw, Poland, this book offers a timely snapshot of intelligent systems applications and advances in industry 4.0 in engineering design and manufacturing.

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    Table of Contents:

    Supporting multi-criteria decision-making in mass customization production in the automotive industry.- Utilization of Artificial Intelligence and Machine Learning Technologies in Regeneration Processes Control and Optimization: A Literature Review.- The effect of reinforcement on selected properties of elastomers as an example of improving the quality of raw materials used in the production of rubber products.

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