報告題目：Quality Design and Mechanism Design for Smart Industry

報告嘉賓：唐立新 中國工程院院士,、東北大學副校長

報告時間：2023年6月3日（星期六）上午8：40-9：30

報告地點：經管北樓316閩海報告廳

主辦單位：經濟與管理學院

Abstract：Smart industry takes the cyber-physical systems as the carrier and uses perceived data to accurately understand, measure, diagnose and forecast the production, logistics and energy flow processes. On this basis, precise control is made on production planning, scheduling optimization decision-making, operation and control to realize the intelligent ability of factories. This talk discusses the structural function and implementation mechanism of smart industry from both intra-enterprise and inter-enterprise perspectives: 1) For the intra-enterprise perspective, the logic structure of quality PDDE (Quality Perception, Quality Discovery, Product Quality Design, Process Design and Optimization) is constructed. Through data analytics and systems optimization, the core decision-making problem of improving quality and efficiency is solved, and the intra-enterprise cultivation is deepened; 2) For the inter-enterprise perspective, the organizational management mode of MCIS (Manufacture-Circulation Industrial System) is proposed. The intelligent game method is used to solve the group decision-making problems of inter-enterprise competition or cooperation, improve circulation efficiency in organized manufacturing, and increase the connection among enterprises. With the intra-enterprise cultivation and inter-enterprise connection, it greatly supports the high-quality development for industrial intelligence in China.

         報告人簡介：唐立新，中國工程院院士,，IEEE Fellow,，現(xiàn)為東北大學副校長（科技規(guī)劃、國際合作）,，第十四屆全國人大代表,，東北大學控制科學與工程（工業(yè)自動化）國家一級重點學科負責人，智能工業(yè)數(shù)據(jù)解析與優(yōu)化教育部重點實驗室主任,、工業(yè)智能與系統(tǒng)優(yōu)化國家級前沿科學中心主任和首席科學家,、計算機軟件國家工程研究中心工業(yè)軟件首席設計師。兼任國務院學位委員會第八屆學科評議組成員,、教育部科技委人工智能專委會副主任,、中國科協(xié)優(yōu)化算法與軟件決策咨詢首席專家,、中國金屬學會副理事長、中國運籌學會副理事長兼智能工業(yè)數(shù)據(jù)解析與優(yōu)化專業(yè)委員會主任,、清華大學自動化系咨詢委員會委員,、北京大學大數(shù)據(jù)分析與應用技術國家工程實驗室技術委員會委員。主要研究方向為工業(yè)智能與系統(tǒng)優(yōu)化理論方法,，包括工業(yè)大數(shù)據(jù)科學,、數(shù)據(jù)解析與機器學習、深度學習與進化學習,、加強學習與動態(tài)優(yōu)化,、凸優(yōu)化與稀疏優(yōu)化、整數(shù)與組合最優(yōu)化,、計算智能優(yōu)化等理論方法,，智能工業(yè)全流程生產與庫存計劃、生產與物流批調度,、生產過程操作優(yōu)化與最優(yōu)控制等系統(tǒng)優(yōu)化技術,，過程監(jiān)測、設備診斷,、產品質知等質量解析技術,，圖像理解、語音識別,、可視仿真等工業(yè)智能技術,，以及在鋼鐵制造、裝備/芯片制造,、能源工業(yè),、物流系統(tǒng)、信息工業(yè)中的工程應用,。現(xiàn)為7個國際工業(yè)智能與系統(tǒng)優(yōu)化領域重要SCI期刊的Associate Editor或編委,，包括IISE Transactions, IEEE Transactions on Evolutionary Computation, IEEE Transactions on Cybernetics, Journal of Scheduling, International Journal of Production Research 的Associate Editor，國際期刊 Annals of Operations Research 編委,，國際期刊 Asia-Pacific Journal of Operational Research 區(qū)域主編(Area Editor),。發(fā)表在國際工業(yè)與系統(tǒng)工程旗艦期刊 IISE Transactions 的論文被評為2017年度“最佳應用論文獎”（Best Applications Paper Award）。