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，現為東北大學副校長（科技規劃、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（工業自動化）國家一級重點學科負責人，智能工業數據解析與優化教育部重點實驗室主任、工業智能與系統優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、中國科協優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數據解析與優化專業委員會主任、清華大學自動化系咨詢委員會委員、北京大學大數據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智能與系統優化理論方法，包括工業大數據科學、數據解析與機器學習、深度學習與進化學習、加強學習與動態優化、凸優化與稀疏優化、整數與組合最優化、計算智能優化等理論方法，智能工業全流程生產與庫存計劃、生產與物流批調度、生產過程操作優化與最優控制等系統優化技術，過程監測、設備診斷、產品質知等質量解析技術，圖像理解、語音識別、可視仿真等工業智能技術，以及在鋼鐵制造、裝備/芯片制造、能源工業、物流系統、信息工業中的工程應用。現為7個國際工業智能與系統優化領域重要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 區域主編(Area Editor)。發表在國際工業與系統工程旗艦期刊 IISE Transactions 的論文被評為2017年度“最佳應用論文獎”（Best Applications Paper Award）。