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出版商:
Springer
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出版日期:
2026-05-02
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售價:
$2,670
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貴賓價:
9.5 折
$2,536
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語言:
英文
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頁數:
228
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裝訂:
Hardcover - also called cloth, retail trade, or trade
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ISBN:
3032101808
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ISBN-13:
9783032101808
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相關分類:
工程數學 Engineering-mathematics
商品描述
This book presents a comprehensive optimization based theory and framework that exploits the synergistic interactions and tradeoffs between process design and operational decisions that span different time scales. The authors explain how conventional methods in the process industry often isolate decision making mechanisms with a hierarchical information flow to achieve tractable problems, risking suboptimal, even infeasible operations. This book details the foundations of systematic model based strategies for simultaneous process design, scheduling, and control optimization to achieve reduced cost and improved energy consumption in process systems. The authors approach the following questions: When does the need for such an integration of scales arise? Which types of industrially relevant problems and applications can be considered for such an approach? Where do we stand regarding methodological developments and solution strategies as enablers and tools for such an integration? If desired, what would be the ideal framework and potentially the target software platform for achieving such a unification? This Second Edition includes developments in methodological approaches and software platform unification, as well as discussion on the need for integration.
商品描述(中文翻譯)
本書提出了一個全面的基於優化的理論和框架，利用跨越不同時間尺度的過程設計與操作決策之間的協同互動和權衡。作者解釋了過程工業中傳統方法如何經常將決策機制孤立，並採用層級信息流來解決可處理的問題，這樣的做法可能導致次優甚至不可行的操作。本書詳細介紹了系統模型基礎策略的基礎，旨在同時優化過程設計、排程和控制，以實現降低成本和改善過程系統的能源消耗。作者探討了以下問題：何時需要這種尺度的整合？哪些類型的工業相關問題和應用可以考慮採用這種方法？在方法論發展和解決策略方面，我們的現狀如何，這些是促進和支持這種整合的工具？如果需要，實現這種統一的理想框架和潛在的目標軟體平台是什麼？本書第二版包括方法論方法和軟體平台統一的發展，以及對整合需求的討論。
作者簡介
Baris Burnak, Ph.D., is a Research Scientist with the Network Team at Amazon. He works on optimizing the topology of one of the largest supply chain networks in the U.S. Dr. Burnak received his Ph.D. from the Artie McFerrin Department of Chemical Engineering at Texas A&M University. He earned his B.Sc. and M.Sc. degrees from the Department of Chemical Engineering at Bogazici University, Turkey. Before his career as an operations researcher, he practiced chemical engineering at Phillips 66, where he improved efficiency of midstream and downstream oil and gas operations with his expertise in modeling and optimization. He has co-authored 15 peer reviewed journal articles and six conference proceedings in the field of process systems engineering. Nikolaos A. Diangelakis, Ph.D., is an Assistant Professor in the Department of Chemical and Environmental Engineering at the Technical University of Crete. He holds a Ph.D. and M.Sc. from Imperial College London. He earned his bachelor's degree from the National Technical University of Athens. His research interests are on the area of optimal receding horizon strategies, non-linear, data-based and robust optimization. More specifically, his research focuses on the development of control and scheduling policies of chemical and energy processes while simultaneously optimizing their design. He is the co-author of 21 peer reviewed articles, 16 conference papers, three book chapters, and two books. Efstratios N. Pistikopoulos, Ph.D., is the Director of the Texas A&M Energy Institute and holds the Dow Chemical Chair Professorship in the Artie McFerrin Department of Chemical Engineering at Texas A&M University. He holds a Ph.D. degree from Carnegie Mellon University and was previously a professor of Chemical Engineering at Imperial College London. A pioneer of multi-parametric optimization and explicit model predictive control, he has authored or co-authored over 600 major research publications in the areas of modelling, control and optimization of process, energy and systems engineering applications, 17 books, and four patents. He is a Member of the Texas Academy of Medicine, Engineering, Science, and Technology and a Fellow of the Royal Academy of Engineering in the UK.
作者簡介(中文翻譯)
巴里斯·布爾納克（Baris Burnak）博士是亞馬遜網路團隊的研究科學家。他專注於優化美國最大的供應鏈網路之一的拓撲結構。布爾納克博士在德州農工大學的阿提·麥克費林化學工程系獲得博士學位。他在土耳其博阿茲奇大學的化學工程系獲得學士和碩士學位。在成為運營研究員之前，他曾在菲利普斯66公司從事化學工程工作，利用其建模和優化的專業知識提高中游和下游石油及天然氣作業的效率。他共同撰寫了15篇經過同行評審的期刊文章和六篇會議論文，專注於過程系統工程領域。
尼古拉斯·A·迪安傑拉基斯（Nikolaos A. Diangelakis）博士是克里特技術大學化學與環境工程系的助理教授。他擁有倫敦帝國學院的博士和碩士學位，並在雅典國立技術大學獲得學士學位。他的研究興趣集中在最佳回退視野策略、非線性、基於數據的和穩健優化領域。更具體地說，他的研究專注於化學和能源過程的控制與排程政策的開發，同時優化其設計。他是21篇經過同行評審的文章、16篇會議論文、三章書籍和兩本書的共同作者。
埃夫斯特拉提奧斯·N·皮斯提科普洛斯（Efstratios N. Pistikopoulos）博士是德州農工大學能源研究所的所長，並在阿提·麥克費林化學工程系擔任道化學講座教授。他擁有卡內基梅隆大學的博士學位，曾在倫敦帝國學院擔任化學工程教授。作為多參數優化和顯式模型預測控制的先驅，他在過程、能源和系統工程應用的建模、控制和優化領域發表或共同發表了超過600篇重要研究出版物、17本書籍和四項專利。他是德克薩斯醫學、工程、科學與技術學院的成員，也是英國皇家工程院的院士。
