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{ "item_title" : "Intelligence Optimization for Green Scheduling in Manufacturing Systems", "item_author" : [" Chao Lu", "Liang Gao", "Xinyu Li "], "item_description" : "This book investigates in detail production scheduling technology in different kinds of shop environment to achieve sustainability manufacturing. Studies on shop scheduling have attracted engineers and scientists from various disciplines, such as electrical, mechanical, automation, computer, and industrial engineering. Pursuing a holistic approach, the book establishes a fundamental framework for this topic, while emphasizing the importance of intelligent optimization and the significant influence of production scheduling in the manufacturing systems. The book is intended for undergraduate and graduate students who are interested in intelligent optimization technology, shop scheduling, and green manufacturing systems or other scheduling applications.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/81/996/986/9819969867_b.jpg", "price_data" : { "retail_price" : "169.99", "online_price" : "169.99", "our_price" : "169.99", "club_price" : "169.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Intelligence Optimization for Green Scheduling in Manufacturing Systems|Chao Lu

Intelligence Optimization for Green Scheduling in Manufacturing Systems

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Overview

This book investigates in detail production scheduling technology in different kinds of shop environment to achieve sustainability manufacturing. Studies on shop scheduling have attracted engineers and scientists from various disciplines, such as electrical, mechanical, automation, computer, and industrial engineering. Pursuing a holistic approach, the book establishes a fundamental framework for this topic, while emphasizing the importance of intelligent optimization and the significant influence of production scheduling in the manufacturing systems. The book is intended for undergraduate and graduate students who are interested in intelligent optimization technology, shop scheduling, and green manufacturing systems or other scheduling applications.

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Details

  • ISBN-13: 9789819969869
  • ISBN-10: 9819969867
  • Publisher: Springer
  • Publish Date: November 2023
  • Dimensions: 9.29 x 6.22 x 0.79 inches
  • Shipping Weight: 1.35 pounds
  • Page Count: 250

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