分類: 最新活動

講    題：職涯發展分享：台灣美光
           (Career Development and Sharing)

主 講 人：王偉豪(Howard Wang)

(台灣美光資深經理)

主 持 人：劉建良 教授

主辦單位：陽明交通大學工業工程與管理系

時間：114年12月16日(星期二) 13:20 ~ 15:10  

地點：管理二館MB506

演講摘要：分享美光IE工作 以及職涯發展分享

演講性質：職場經驗分享

歡迎聽講

講    題：GenAI技術概述與產業落地案例
(Overview of GenAI Technology and Industry Application Cases)

主 講 人：李青憲(Ching-Hsien Lee) (工研院組長)

主 持 人：劉建良 教授

主辦單位：陽明交通大學工業工程與管理系

時間：114年12月10日(星期三) 8:40~10:10

地點：線上演講

演講摘要：說明生成式 AI（GenAI）的最新發展趨勢例如 AI Agent 所具備的多模態感知、語意理解、推理規劃與自主工具操作等關鍵能力。這些技術使 AI 不再僅是回應式系統，而能主動執行任務、協助決策並串接企業既有流程，成為提升效率與創新服務的核心動力。並針對多種應用場景進行介紹。

演講性質：職場經驗分享

歡迎聽講

講    題：Optimal decision making of a mass casualty incident in disaster responses

主 講 人：陳子立 副教授  清華大學工業工程與工程管理學系

主辦單位：陽明交通大學工業工程與管理系

時    間：114年12月8日(星期一) 13:20 ~ 15:20  

地    點：管理二館MB520教室

演講摘要：After a severe disaster strikes, a large number of casualties, many severe, arise from a single disaster area or multiple disaster areas in a very short period of time. This event, called an MCI, not only disrupts the normal functioning of emergency department services of the hospital but also overwhelms available resources (e.g., personnel, bed, and ambulance) of the local healthcare system and emergency medical services. Therefore, efficient, critical mass casualty management (MCM) can substantially increase the survival probability of the casualties in the response phase of a disaster. MCM encompasses a series of decision-making processes from the strategic, tactical, and operational levels. Strategic decisions made during the pre-disaster stage determine the pre-positioning of the candidate casualty collection points (CCPs) such as shelters, schools, parking lots, hospitals etc. Tactical decisions made at the beginning of post-disaster response phase determine the opening decision from the candidate CCPs and the allocation decision of scarce emergency medical resources (EMS) including ambulances, firefighters, and medical personnel to quickly mitigate the severity of potential threats. To minimize the number of deaths and maximize the number of survivors, the following operational decisions are dynamically made over time given CCP locations and EMS resource: (1) the patient prioritization determines the order of casualties transported to the hospital; (2) the hospital selection transfers severe casualties to appropriate hospitals by ambulances; and (3) the ambulance redeployment re-dispatches the ambulances which have completed service to the CCPs in need. In this talk, we will investigates tactical and operational decisions in the post-disaster stage using stochastic optimization approaches such as simulation optimization, stochastic programming and approximate dynamic programming. By collaborating with National Science and Technology Center for Disaster Reduction (NCDR) and obtaining an earthquake scenario occurring in Tainan City, Taiwan, the computational efficiency of the proposed stochastic optimization model and algorithm is demonstrated and verified.

演講性質：學術研究專題

歡迎聽講

講    題：Scheduling with Obligatory Tests

主 講 人：梁雅鈞 助理教授  清華大學資訊工程學系

主辦單位：陽明交通大學工業工程與管理系

時    間：114年12月1日(星期一) 13:20 ~ 15:20  

地    點：管理二館MB520教室

演講摘要：

Motivated by applications such as medical treatments and aircraft maintenance, we study a scheduling problem in which each job consists of two operations: a test and a processing step. The test time of each job is known in advance, whereas the processing time becomes known only after the test has been completed. Using competitive analysis, we investigate algorithms that aim to minimize the total completion time of 𝑛 jobs on a single machine.

Our main result is a novel analysis showing that the natural 1-SORT algorithm achieves a competitive ratio of at most 1.861. For the special case where all test times are identical, we further show that a simple threshold-based algorithm has a competitive ratio of at most 1.585. We also establish a lower bound: no deterministic algorithm can have a competitive ratio better than $\sqrt{2}$, even when test times are uniform.

This is joint work with Konstantinos Dogeas and Thomas Erlebach.

演講性質：學術研究專題

歡迎聽講

講    題：跨領域學習與職涯分享：心理學 × 工業工程 × AI
(Cross-Disciplinary Learning and Career Sharing: Psychology × Industrial Engineering × AI)

主 講 人：謝博硯(Po-Yen, Hsieh)

        (台積電工程師)

主 持 人：劉建良 教授

主辦單位：陽明交通大學工業工程與管理系

時間：114年12月2日(星期二) 13:20 ~ 15:10  

地點：管理二館MB506

演講摘要：本次演講將分享從心理學背景到工業工程碩士，再到機器學習工程師的跨領域職涯歷程。首先介紹各階段的學習經驗與心路歷程，說明當下的思考與抉擇，幫助學生瞭解跨領域學習的挑戰與收穫。接著說明目前的工作內容與專案經驗，包括AI在產業中的實際應用，以及軟體開發的技能與流程，並展示工程師的一日工作安排。隨後比較學校學習與業界實務的差異，提供業界看待問題的角度與重點，並探討跨領域背景帶來的優勢，說明工業工程在製造業與AI領域的價值。演講亦將分享AI對工作模式的影響，包括不同面向的工作輔助方式及最新AI技術應用，幫助學生瞭解未來科技趨勢與職涯發展機會。最後將提供建議，鼓勵學生勇於探索不同領域並迎接新的挑戰。

演講性質：職場經驗分享

歡迎聽講

講    題：IE人漫談IE
(An IE’s Casual Talk on Industrial Engineering)

主 講 人：洪志勳(Ivan Hong)

(愛普科技股份有限公司總經理)

主 持 人：劉建良 教授

主辦單位：陽明交通大學工業工程與管理系

時間：114年11月25日(星期二) 13:20 ~ 15:10  

地點：管理二館MB506

演講摘要：很高興有機會能回到母校與學弟妹面對面交流。我想藉由這次的機會，和大家分享我在學習以及職場的心得與經驗；以及，目前是一個科技飛快發展、地緣政治對我們有直接且巨大的影響的時代，這是前所未有的! 我們該如何準備自己，面對多變的未來?

演講性質：職場經驗分享

歡迎聽講

講    題：#metoo在校園 – 談校園性別平等與性騷擾預防

(#MeToo on Campus: Gender Equality and Sexual Harassment Prevention in Schools)

主 講 人：孔守謙 諮商心理師  若竹心理諮商所所長

主辦單位：陽明交通大學工業工程與管理系

時    間：114年11月24日(星期一) 13:20 ~ 15:20  

地    點：管理二館MB520教室

演講摘要：本次性平講座將說明 #MeToo 事件延燒後引發的性騷擾相關爭議與迷思，帶領大家認識何謂性騷擾、如何避免性騷擾的發生，同時介紹過度追求與跟騷法的重點，並分享遭遇性騷擾時可採取的自救方式與求助管道。

演講性質：通識教育普及

歡迎聽講

講    題：Shall You Get an Invasion Examination?An AI-Based Risk Stratification Model for Individuals With Suboptimal Health Status

主 講 人：李捷  中山大學 資訊管理學系教授

主辦單位：陽明交通大學工業工程與管理系

時    間：114年11月17日(星期一) 13:20 ~ 15:20  

地    點：管理二館MB520教室

演講摘要：

The presentation will cover the following topics:

• Introduction
• Design Science Research Framework
• AI-based Model
• Healthcare application and data analytics
• Conclusion

演講性質：學術研究專題

歡迎聽講

講    題：建立你的職場超能力
(Build your workplace superpowers)

主 講 人：盧成建(Phileo Lu)(欣銓科技製造中心協理)

主 持 人：劉建良 教授

主辦單位：陽明交通大學工業工程與管理系

時間：114年11月18日(星期二) 13:20 ~ 15:10  

地點：管理二館MB506

演講摘要：在AI時代，你如何不被取代？這是現在很熱門的議題，也是要面對的問題，過去我們常常思考我們比Google先生強在哪裡？而現在我們要思考的是我們如何跟AI搶工作,什麼樣的工作我們可以超越AI,而什麼樣的事情我們需要AI幫助我們,在進入這個話題之前，我們要知道進入職場前如何建立我們的職場超能力,知道我們要扮演什麼樣的角色,期望這個課程能夠幫助你們探索你們想要知道的，並能夠找到自己該具備的職場能力。

演講性質： 職場經驗分享

歡迎聽講

• 時間: 2025/11/11 (星期二) 12:10-13:10
• 地點: MB520教室
• 主講者: 普渡大學 Ben Fong, IISE Fellow, Ph.D. P.E., CSSBB, ASQ-CQE
                 Associate Professor of Practice, Director of PMP 
• 本活動除邀請本系學生踴躍參加外，也歡迎其他對普渡大學攻讀學碩士有興趣的同學報名參加

• 報名連結：https://forms.gle/vANxKniJETMW9gN57

         提供小餐點，請於11/5前完成報名，以利作業

📣📣📣📣📣

• Ben Fong 教授預計與有興趣申請普渡大學學位學程(如3+1+1、PMP計畫)的同學進行面談， 教授將根據面談表現，評估推薦人選。機會難得，欲參加同學請先預約時段：https://forms.gle/rNubuNxgUtv3citS6
  (限本系大三、大四學生。名額有限，額滿為止)
  

演講內容：

Are you interested to learn the Corporate Digital OpEx Consultancy Journey from Purdue IE?

•  Advanced Eng. Knowledge in Digital Twins, Smart Mfg, Robotics, AI/ML, OR, HF, SCM
• Regular interface with corporate global executives, suppliers, and facility visits
• Customer focus on business case, value proposition, and process transformation
• 2-3 semesters M.S. level Capstone (Analysis phase + Implementation phase)
• Work up to 2 PMP projects/semester with a team of 3 ppl (deliver 500+ hours work)
• Faculty direct hands-on coaching (In-Person + WhatsApp: from 8 am to midnight)
• Consultancy: facilitation/negotiation skills, time/conflict management, engagement
• Direct opportunities for summer intern, co-op, and permanent leadership roles
• Flexible Study Plan (complete MSIE within 9 months or up to 21 months)
• Consider any BS graduate from Engineering, Information Mgt, and Applied Statistics

關於講者：

Dr. Ben Fong is an IISE Fellow, the Director of PMP and the Associate Professor of Practice in IE at Purdue University. He is a senior global product portfolio leader with 30+ years of diverse experience in R&D, IoT product strategy, Lean Six Sigma OpEx, and commercial growth.  Prior to join Purdue in 2021, he managed global Product Management and Technology teams and reported directly to multiple VP of Global Product Management.  Dr. Fong was responsible for a variety of products P&L that worth USD$500M+. His research interest includes smart factory, digital OpEx, IoT agile development, robotics automation, cloud computing, and AI/ML analytics. He worked over 20 industrial sectors from 100+ U.S. and global facilities. Achieved over $100M in savings for multiple LSS Enterprise CI Programs. He graduated with his MSME and PhD in ISE from Virginia Tech; his BSME from U. of Texas at Arlington. He was an ex-senior mgt. leader from Caterpillar, GE Healthcare, and Rockwell Automation.

更多3+1+1雙聯學位資訊請參考：https://iem.nycu.edu.tw/purdue_ie/