Optimization in Industrial Engineering: From Classical Methods to Modern Metaheuristics with MATLAB Applications
暫譯: 工業工程中的優化：從傳統方法到現代元啟發式演算法及 MATLAB 應用

Cuevas, Erik, Rosas Caro, Julio Cesar, Alejo Reyes, Avelina

Optimization in Industrial Engineering: From Classical Methods to Modern Metaheuristics with MATLAB Applications
  • 出版商: Springer
  • 出版日期: 2026-01-16
  • 售價: $2,670
  • 貴賓價: 9.5 折 $2,536
  • 語言: 英文
  • 頁數: 217
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3031740297
  • ISBN-13: 9783031740299
  • 相關分類: 工程數學 Engineering-mathematics

    • 海外代購書籍(需單獨結帳)

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商品描述

This textbook provides readers with a comprehensive exploration of optimization techniques in industrial engineering, with a specific focus on the Economic Order Quantity (EOQ) problem. It strikes a unique balance by thoroughly discussing the underlying concepts and theories, equipping the reader with the knowledge needed to develop their own programs for solving complex optimization problems in the field. A distinctive feature of this book is its extensive use of MATLAB implementations, which serves as a practical tool to bridge the gap between theory and real-world application. The book is structured with the understanding that learning is accelerated when theoretical concepts are complemented by practical, code-based problem-solving examples. This approach is particularly beneficial for students who may have a weaker background in mathematics, as it demonstrates the practicality and effectiveness of optimization in a more accessible manner. The inclusion of ready-made code examples not only makes the subject matter more engaging for students but also encourages them to experiment, modify, and enhance the code with their own ideas. This method of learning is designed to be less daunting and more stimulating, particularly for those who might feel overwhelmed by the prospect of developing complex programs from scratch. The book's approach is aimed at demystifying the complexities of optimization in industrial engineering, making it more approachable and interesting for students and practitioners alike.

Diverging from other texts that primarily focus on classical techniques for addressing optimization problems in industrial engineering, this book sets itself apart by delving into modern metaheuristic methods. Metaheuristic techniques have gained recognition for their efficacy in tackling complex problems that are often laden with diverse and challenging constraints. These methods, which include algorithms such as simulated annealing, and particleswarm optimization, offer a more dynamic and flexible approach to finding solutions compared to traditional methods. They are particularly adept at navigating vast search spaces and identifying optimal or near-optimal solutions in scenarios where conventional approaches might struggle. This inclusion of metaheuristic methods gives the book a unique quality, providing readers with a comprehensive understanding of both the established foundations and the cutting-edge advancements in the field of optimization. The book's exploration of these advanced techniques not only broadens the reader's knowledge base but also equips them with the tools to effectively solve more intricate and nuanced problems encountered in industrial engineering. This dual focus on classical and modern methods positions the book as a valuable and forward-thinking resource in the realm of industrial optimization.

商品描述(中文翻譯)

這本教科書為讀者提供了對工業工程中優化技術的全面探索，特別專注於經濟訂貨量（Economic Order Quantity, EOQ）問題。它在徹底討論基本概念和理論的同時，為讀者提供了開發自己程序以解決該領域複雜優化問題所需的知識。這本書的一個獨特特點是廣泛使用 MATLAB 實作，作為一種實用工具，彌合理論與現實應用之間的鴻溝。該書的結構基於這樣的理解：當理論概念與實際的基於代碼的問題解決範例相輔相成時，學習會加速。這種方法對於數學背景較弱的學生特別有益，因為它以更易於理解的方式展示了優化的實用性和有效性。包含現成的代碼範例不僅使主題對學生更具吸引力，還鼓勵他們進行實驗、修改並用自己的想法增強代碼。這種學習方法旨在減少學生面對從零開始開發複雜程序的壓力，使其更具刺激性。這本書的方式旨在揭開工業工程中優化的複雜性，使其對學生和從業者來說更易於接近和有趣。

與其他主要專注於傳統技術以解決工業工程中優化問題的文本不同，這本書通過深入探討現代元啟發式方法而脫穎而出。元啟發式技術因其在處理通常充滿多樣且具挑戰性約束的複雜問題方面的有效性而受到認可。這些方法，包括模擬退火（simulated annealing）和粒子群優化（particle swarm optimization）等算法，提供了一種比傳統方法更具動態性和靈活性的解決方案尋找方式。它們特別擅長於導航廣闊的搜索空間，並在傳統方法可能遇到困難的情況下識別最佳或近似最佳解。這些元啟發式方法的納入賦予了這本書獨特的品質，為讀者提供了對優化領域中既有基礎又有前沿進展的全面理解。這本書對這些先進技術的探索不僅擴大了讀者的知識基礎，還為他們提供了有效解決工業工程中遇到的更複雜和微妙問題的工具。對於傳統和現代方法的雙重關注，使這本書成為工業優化領域中一個有價值且具前瞻性的資源。

作者簡介

Dr. Erik Cuevas received his B.S. degree with distinction in Electronics and Communications Engineering from the University of Guadalajara, Mexico, in 1995, the M.Sc. degree in Industrial Electronics from ITESO, Mexico, in 2000, and the Ph.D. degree from Freie Universität Berlin, Germany in 2006. Since 2006 he has been with the University of Guadalajara, where he is currently a full-time Professor in the Department of Computer Science. Since 2008, he is a member of the Mexican National Research System (SNI III). He is the author of several books and articles. A list of his books and publications can be seen in the CV attached to this application. His current research interest includes Meta-heuristics, computer vision, and mathematical methods. He serves as an editor in Expert System with Applications, ISA Transactions, and Applied Soft Computing, Applied Mathematical Modeling and Mathematics and Computers in Simulation.

Julio C. Rosas-Caro received a B.S. in electronics and an M.S. in E.E. from the Tec de Cd. Madero, Mexico, in 2004 and 2005, respectively, and the Ph.D. in E.E. from the Cinvestav del IPN, Mexico, in 2009. He has been a Visiting Scholar at several institutions, such as the Michigan State University, the University of Colorado Denver, Ontario Tech University, and The University of Sheffield. Dr. Rosas-Caro is the author of several scientific articles in the field of engineering, an Associate Editor of the IEEE Latin America Transactions, an Academic Editor of the International Transactions on Electrical Energy Systems, and he has been invited to be a lead guest editor in several special issues of scientific Journals. He is currently a Professor at Universidad Panamericana, Mexico. His research interest is in power electronics, including DC-to-DC converters, flexible alternating current transmission system devices, power converter topologies, applications, and optimization.

Avelina Alejo-Reyes received a B.S. degreein industrial engineering and an M. degree from the Tecnologico de Cd. Madero, Mexico, in 2005 and 2007, respectively. Madero, and the Ph.D. degree in engineering from Universidad Panamericana, Guadalajara, Mexico, in 2021. She is currently a Professor at Universidad Panamericana, Campus Guadalajara, Mexico. Dr. Alejo-Reyes is the author of several scientific articles in the field of engineering. She is co-author of the book "Recent Metaheuristic Computation Schemes in Engineering" by Springer International Publishing. Her research interest is in Metaheuristic Algorithms, Supplier Selection, Inventory Theory, and optimization.

Paulina Gonzalez-Ayala received a B.S in Civil Engineering and Administration and has a Master in Construction Administration from Universidad Panamericana, Campus Guadalajara. She is currently studying for a PhD in Engineering at the Universidad Panamericana, Campus Guadalajara. She worked at AVG Latam, a company dedicated to consulting in LeanManufacturing, Six Sigma and Value Engineering, as a junior consultant. She is currently working at the Universidad Panamericana as Secretary of Student Affairs of the Faculty of Engineering and she is also a profesor at the Computer Academy. Her research interest is in Metaheuristic Algorithms, Supplier Selection and optimization.

Alma Rodriguez earned her Bachelor of Science in Industrial Engineering and her Master's degree from CETI, Mexico, in 2005 and 2007, respectively. She went on to achieve her Doctorate in Engineering from the Universidad de Guadalajara, located in Guadalajara, Mexico, in 2021. Dr. Rodriguez has made her mark as an author of numerous engineering-related scientific publications. She contributed as a co-author to the publication "Recent Metaheuristic Computation Schemes in Engineering," released by Springer International Publishing. Her research primarily focuses on the areas of Metaheuristic Algorithms, Supplier Selection, Inventory Theory, and the broader field of optimization.

作者簡介(中文翻譯)

Dr. Erik Cuevas於1995年在墨西哥瓜達拉哈拉大學獲得電子與通信工程的優異學士學位，2000年在墨西哥ITESO獲得工業電子碩士學位，並於2006年在德國柏林自由大學獲得博士學位。自2006年以來，他一直在瓜達拉哈拉大學任教，目前是計算機科學系的全職教授。自2008年以來，他是墨西哥國家研究系統（SNI III）的成員。他是多本書籍和文章的作者，相關書籍和出版物的清單可在本申請附上的履歷中查看。他目前的研究興趣包括元啟發式演算法、計算機視覺和數學方法。他擔任《Expert System with Applications》、《ISA Transactions》、《Applied Soft Computing》、《Applied Mathematical Modeling》和《Mathematics and Computers in Simulation》的編輯。

Julio C. Rosas-Caro於2004年和2005年分別在墨西哥的Tec de Cd. Madero獲得電子學學士學位和電子工程碩士學位，並於2009年在墨西哥的Cinvestav del IPN獲得電子工程博士學位。他曾在多個機構擔任訪問學者，如密西根州立大學、科羅拉多大學丹佛分校、安大略科技大學和謝菲爾德大學。Rosas-Caro博士是多篇工程領域科學文章的作者，IEEE拉丁美洲交易的副編輯，國際電能系統交易的學術編輯，並受邀擔任多個科學期刊特刊的主編。他目前是墨西哥泛美大學的教授，研究興趣包括電力電子學，涵蓋直流轉直流轉換器、靈活交流傳輸系統設備、電力轉換器拓撲、應用及優化。

Avelina Alejo-Reyes於2005年和2007年分別在墨西哥的Tecnologico de Cd. Madero獲得工業工程學士學位和碩士學位，並於2021年在墨西哥瓜達拉哈拉的泛美大學獲得工程博士學位。她目前是墨西哥泛美大學瓜達拉哈拉校區的教授。Alejo-Reyes博士是多篇工程領域科學文章的作者，也是Springer International Publishing出版的《Recent Metaheuristic Computation Schemes in Engineering》一書的共同作者。她的研究興趣包括元啟發式演算法、供應商選擇、庫存理論和優化。

Paulina Gonzalez-Ayala獲得土木工程和管理學士學位，並在墨西哥泛美大學瓜達拉哈拉校區獲得建設管理碩士學位。她目前正在墨西哥泛美大學瓜達拉哈拉校區攻讀工程博士學位。她曾在AVG Latam工作，該公司專注於精益生產、六西格瑪和價值工程的諮詢，擔任初級顧問。她目前在泛美大學擔任工程學院學生事務秘書，並且也是計算機學院的教授。她的研究興趣包括元啟發式演算法、供應商選擇和優化。

Alma Rodriguez於2005年和2007年分別在墨西哥的CETI獲得工業工程學士學位和碩士學位，並於2021年在墨西哥瓜達拉哈拉的瓜達拉哈拉大學獲得工程博士學位。Rodriguez博士在多篇與工程相關的科學出版物中留下了自己的印記。她作為共同作者參與了Springer International Publishing出版的《Recent Metaheuristic Computation Schemes in Engineering》的出版。她的研究主要集中在元啟發式演算法、供應商選擇、庫存理論和更廣泛的優化領域。

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