Design and Optimization of Manufacturing Systems (Hardcover)

Zoran Jurkovic

ISBN 10: 3725844070 / ISBN 13: 9783725844074

Published by Mdpi AG, 2025

About this Item

Hardcover. This Special Issue reprint presents recent advances in the design, modeling, optimization, and control of manufacturing systems, with a focus on innovative and practical approaches relevant to both academia and industry. Contributions cover a wide range of topics including intelligent scheduling, simulation-based optimization, human-centered production, collaborative robotics, and sustainable system design. The selected papers reflect the increasing complexity of modern production environments and the growing importance of integrating artificial intelligence, cyber-physical systems, and data-driven decision-making. An emphasis is placed on methodological rigor as well as real-world applicability, making this reprint a valuable reference for researchers, engineers, and practitioners engaged in manufacturing system improvement and transformation. By showcasing both theoretical insights and applied case studies, this collection offers a comprehensive overview of current trends and challenges in the field. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Seller Inventory # 9783725844074

Bibliographic Details

• Title: Design and Optimization of Manufacturing Systems (Hardcover)
• Publisher: Mdpi AG
• Publication Date: 2025
• Language: English
• ISBN 10: 3725844070
• ISBN 13: 9783725844074
• Binding: Hardcover
• Condition: new

About this title

Synopsis

This Special Issue reprint presents recent advances in the design, modeling, optimization, and control of manufacturing systems, with a focus on innovative and practical approaches relevant to both academia and industry. Contributions cover a wide range of topics including intelligent scheduling, simulation-based optimization, human-centered production, collaborative robotics, and sustainable system design. The selected papers reflect the increasing complexity of modern production environments and the growing importance of integrating artificial intelligence, cyber-physical systems, and data-driven decision-making. An emphasis is placed on methodological rigor as well as real-world applicability, making this reprint a valuable reference for researchers, engineers, and practitioners engaged in manufacturing system improvement and transformation. By showcasing both theoretical insights and applied case studies, this collection offers a comprehensive overview of current trends and challenges in the field.