相關主題
商品描述
This book systematically discusses the intelligent scheduling problem of complex semiconductor manufacturing systems from theory to method and then to application. The main contents include data-driven scheduling framework of semiconductor manufacturing system, data preprocessing of semiconductor manufacturing system, correlation analysis of performance index of semiconductor production line, intelligent release control strategy, dynamic dispatching rules simulating pheromone mechanism, and load balancing dynamic scheduling of semiconductor production line, performance index-driven dynamic scheduling method of semiconductor production line, scheduling trend of semi-conductor manufacturing system in big data environment.
This book aims to provide readers with valuable reference and assistance in the theoretical methods, techniques, and application cases of semiconductor manufacturing systems and their intelligent scheduling.
商品描述(中文翻譯)
本書從理論到方法再到應用，系統地討論了複雜半導體製造系統的智能排程問題。主要內容包括半導體製造系統的數據驅動排程框架、半導體製造系統的數據預處理、半導體生產線性能指標的相關性分析、智能釋放控制策略、模擬費洛蒙機制的動態調度規則、半導體生產線的負載平衡動態排程、性能指標驅動的半導體生產線動態排程方法，以及大數據環境下半導體製造系統的排程趨勢。
本書旨在為讀者提供有關半導體製造系統及其智能排程的理論方法、技術和應用案例的有價值的參考和幫助。
作者簡介
Li Li received the B.S. and M.S. degrees from Shenyang Agriculture University, China, in 1996 and 1999, respectively, and the Ph.D. degree from Shenyang Institute of Automation, Chinese Academy of Sciences, in 2003. She joined Tongji University, Shanghai, China, in 2003, and is presently Professor of Control Science and Engineering. Her research interests are in data-driven modeling and optimization, intelligent manufacturing, artificial intelligence, and computational intelligence. Li Li has received numerous awards and honors, including but not limited to the innovation team award, first prize of technical invention, best application paper award, best paper nomination award, etc. In addition, she has published four monographs and more than 70 academic papers and has presided over or participated in more than ten national scientific research projects.
Kuo-Yi Lin received the B.S. degree in Statistics from Cheng Kung University, Taiwan, China, in 2007 and an M.S. degree andPh.D. degree in Industrial Engineering and Engineering Management from Tsing Hua University, Taiwan, China, in 2009 and 2014. He is a director of China Excellent Business Decision Making Society, member of Intelligent Simulation Optimization and Scheduling Committee of China Simulation Society, member of Natural Computing and Digital Intelligent City Committee of China Artificial Intelligence Society, member of Industrial Big Data and Intelligent System Branch of China Mechanical Engineering Society. He is mainly engaged in intelligent manufacturing, federated learning, quantum algorithm and transfer learning.
Qingyun Yu received the B.S. degree from Jiangnan University, China, in 2013 and Ph.D. degree in College of Electronic and Information Engineering from Tongji University, China, in 2021. She is now a postdoctoral fellow at the College of Electronic and Information Engineering, Tongji University. Her research interests are in data-driven modeling and optimization, intelligent manufacturing, and computational intelligence. She has published two monographs, more than ten academic papers, one patent, and one software copyright and has participated in two national scientific research projects.
Prof. Fei QIAO received her MS in Control Engineering (1993) and PhD in Management Engineering (1997) from Tongji University, Shanghai, China. Since 1993 she joined Tongji University, where she is currently a full professor with the School of Electronics and Information Engineering. In the past 30 years, she researched extensively in areas of intelligent manufacturing operation optimization, production planning and scheduling, sustainable manufacturing scheduling, etc. She has published five books and over 100 research papers in academic journals and conferences. Prof. Qiao was a recipient of the Humboldt Scholarship from the Alexander von Humboldt Foundation (Germany) and the Excellent Talent of New Century from Ministry of Education (China). She is an Executive Director and the Deputy Secretary of Chinese Automation Association, and the Deputy Director of Shanghai Society of System Engineering.
Yumin Ma received the B.S, M.S and Ph.D degrees from Tongji University, Shanghai, China, in 1994, 1999 and 2002, respectively. She joined Tongji University in 2002, and is presently Associate Professor of System Engineering. Her research interests are in production planning & scheduling in manufacturing system and intelligent manufacturing. She has published three monographs and more than 50 academic papers.
作者簡介(中文翻譯)
李莉於1996年和1999年分別獲得中國沈陽農業大學的學士和碩士學位，並於2003年獲得中國科學院沈陽自動化研究所的博士學位。她於2003年加入中國上海同濟大學，現任控制科學與工程教授。她的研究興趣包括數據驅動建模與優化、智能製造、人工智能和計算智能。李莉獲得了眾多獎項和榮譽，包括創新團隊獎、技術發明一等獎、最佳應用論文獎、最佳論文提名獎等。此外，她出版了四本專著，發表了70多篇學術論文，並主持或參與了十多個國家科研項目。
林國義於2007年獲得中國台灣成功大學統計學學士學位，並於2009年和2014年分別獲得清華大學工業工程與工程管理碩士和博士學位。他是中國優秀商業決策協會的主任，中國模擬學會智能仿真優化與排程委員會的成員，中國人工智能學會自然計算與數字智慧城市委員會的成員，中國機械工程學會工業大數據與智能系統分會的成員。他主要從事智能製造、聯邦學習、量子算法和轉移學習的研究。
于青雲於2013年獲得中國江南大學的學士學位，並於2021年獲得同濟大學電子與信息工程學院的博士學位。她現在是同濟大學電子與信息工程學院的博士後研究員。她的研究興趣包括數據驅動建模與優化、智能製造和計算智能。她出版了兩本專著，發表了十多篇學術論文，擁有一項專利和一項軟件版權，並參與了兩個國家科研項目。
喬飛教授於1993年獲得中國上海同濟大學控制工程碩士學位，並於1997年獲得管理工程博士學位。自1993年以來，她一直在同濟大學從事智能製造運營優化、生產計劃與排程、可持續製造排程等領域的廣泛研究。她在學術期刊和會議上發表了五本書和100多篇研究論文。喬教授曾獲得德國亞歷山大·馮·洪堡基金會的洪堡獎學金和中國教育部的新世紀優秀人才獎。她是中國自動化學會的執行理事和副秘書長，以及上海系統工程學會的副主任。
馬玉敏於1994年、1999年和2002年分別獲得中國上海同濟大學的學士、碩士和博士學位。她於2002年加入同濟大學，現任系統工程副教授。她的研究興趣包括製造系統中的生產計劃與排程以及智能製造。她出版了三本專著，發表了50多篇學術論文。
