王志軒

Product Evaluation and Sentiment Analysis for Smartphone and Tablet Using Text Mining and Language Model

工業工程與管理學系・共同指導：陳亭志

文字探勘、自然語言處理、智慧型手機、平板、情感預測、產品分析、Text Mining、Natural Language Processing、Sentiment Analysis、Smartphones、Tablets、Product Analysis

Product Positioning and Sentiment Prediction for Electric and Hybrid Electric Vehicle Using Text Mining and Natural Language Processing

工業工程與管理學系・共同指導：陳亭志

文字探勘、自然語言處理、新能源車、主題建模、產品定位、情感預測、Text Mining、Natural Language Processing、Electric Vehicles、Hybrid Electric Vehicles、Product Positioning、Sentiment Prediction

Applying Machine Learning Methods to Predict the Revenue of Leading Driver IC Manufacturers

管理學院專班-工業工程與管理學程

顯示器驅動 IC、營收預測、機器學習、特徵篩選、特徵選擇、Display Driver IC、Revenue Forecasting、Machine Learning、Feature Selection

Applying Clustering Algorithms and Mathematical Programming to Analyze Optimal Investment Portfolios of the Dow Jones Industrial Average

管理學院專班-工業工程與管理學程・共同指導：林春成

道瓊工業平均指數、資產配置、數學規劃、集群演算法、最佳化投資組合、Dow Jones Industrial Average、Asset Allocation、Mathematical Programming、Clustering Algorithms、Optimal Investment Portfolio

Applying machine learning methods to predict the revenue of leading panel manufacturers in Taiwan

管理學院專班-工業工程與管理學程・共同指導：林春成

機器學習、營收預測、面板產業、同業聯動效應、machine learning、revenue forecasting、display industry、peer-linkage effect

A Comparative Study of Multiple Models for Hard Disk Anomaly Detection and Fault Prediction with Feature Engineering

工業工程與管理學系・共同指導：陳亭志

硬碟、特徵工程、異常診斷、故障預測、機器學習、深度學習、強化學習、Hard disk、Feature engineering、Anomaly detection、Fault prediction、Machine learning、Deep learning、Reinforcement learning

Application of Reinforcement Learning and Linear Programming to Bi-Objective Power Supply Optimization

工業工程與管理學系

雙目標規劃、強化學習、線性規劃、電力、Bi-objective optimization、Reinforcement learning、Linear programming、Electricity

A Two-Stage Stacking Architecture with Reinforcement Learning for Dynamic Airline Sales Forecasting

工業工程與管理學系

航空營收預測、機器/深度學習、強化學習、堆疊架構、動態預測、競爭者分析、Airline revenue forecasting、Machine/Deep learning、Reinforcement learning、Stacking architecture、Dynamic forecasting、Competitor analysis

Remaining Useful Life Prediction and Evaluation of Lithium-ion Battery Based on Feature Engineering and Artificial Intelligence Models

工業工程與管理學系・共同指導：陳亭志

鋰電池、特徵工程、機器學習、深度學習、強化式學習、剩餘使用壽命、預測性維護、Lithium-ion batteries、Feature engineering、Machine learning、Deep learning、Reinforcement learning、Remaining useful life、Predictive maintenance

Combining Stock Indices, Technical Indicators, and Homogeneous Materials for Gold Price Forecasting

工業工程與管理學系

黃金、機器學習、深度學習、強化學習、價格預測、Gold、Machine learning、Deep learning、Reinforcement learning、Price forecasting

Dynamic electricity demand forecasting incorporating economic, meteorological, energy, and air pollution indicators

工業工程與管理學系

電力需求預測、特徵選取、機器學習、深度學習、強化學習、Electricity Demand Forecasting、Feature Selection、Machine Learning、Deep Learning、Reinforcement Learning

Sales Revenue Forecasting for Qualcomm and MediaTek: A Machine Learning Perspective

企業管理碩士學位學程

營收預測、機器學習、無晶圓廠半導體、同業營收、前一期營收、財務比率、revenue forecasting、machine learning、fabless semiconductor、peer revenue、lagged revenue、financial ratio

Applying Machine Learning Models to Predict Revenue : An Overall Comparison of ASUS and Acer

企業管理碩士學位學程

營收預測、機器學習、特徵工程、財務比率、個人電腦產業、Revenue Prediction、Machine Learning、Feature Engineering、Financial Ratios、PC Industry

Revenue Forecasting in the Power Supply Unit Industry Using Machine Learning

企業管理碩士學位學程

電源供應器、營收預測、全球產品出貨量、財務指標、機器學習、Power Supply Unit (PSU)、Global Shipment Volume、Revenue Forecasting、Financial Indicators、Machine Learning

Applying Machine Learning Models in Revenue Forecasting for the Display Driver IC sector

企業管理碩士學位學程

營收預測、面板驅動IC、機器學習、財務指標、同業營收、Revenue Forecasting、Display Driver IC、Machine Learning、Financial Indicators、Peer Revenue

Applying clustering algorithms and mathematical programming to analyze the optimal investment portfolio of Euro 50 Index

管理學院專班-工業工程與管理學程

數學規劃、投資組合最佳化、K-Medoids、集群分析、風險報酬率、歐洲STOXX 50指數、Mathematical Programming、Portfolio Optimization、Cluster Analysis、Risk-Return Trade-off

Applying clustering algorithms and mathematical programming to analyze the optimal investment portfolio of Taiwan High-Dividend Index

管理學院專班-工業工程與管理學程

高股息指數、數學規劃、投資組合最佳化、集群分析、夏普值、High-Dividend Index、Mathematical Programming、Portfolio Optimization、Cluster Analysis、Sharpe Ratio

Revenue Prediction for NAND Flash Leaders Using Machine Learning

企業管理碩士學位學程

NAND Flash、銷貨預測、同業、全球產品出貨量、財務比率、機器學習、Sales Prediction、Peers、Global Shipment Volume、Financial Ratios、Machine Learning

Revenue Forecasting in the DRAM Industry Using Machine Learning Techniques

企業管理碩士學位學程

動態隨機存取記憶體、全球產品出貨量、銷售預測、財務指標、機器學習、DRAM、Global Shipment Volume、Sales Forecasting、Financial Ratios、Machine Learning

Applying clustering algorithms and mathematical programming to analyze the optimal investment portfolio of S&P 500 Index

理學院碩士在職專班-應用科技組

投資組合優化、夏普率、機器學習、集群分析、規劃求解、Portfolio Optimization、Sharpe Ratio、Machine Learning、Cluster Analysis、Mathematical Programming

Applying clustering algorithms and mathematical programming to analyze the optimal investment portfolio of NASDAQ 100 Index

管理學院專班-工業工程與管理學程

集群演算法、最佳化投資組合、數學規劃求解、風險控制、年化報酬率、Clustering Algorithms、Optimal Investment Portfolio、Mathematical Programming、Risk Control、Annualized Returnprogramming、Clustering analysis

Applying clustering algorithms and mathematical programming to analyze the optimal investment portfolio of Taiwan middle size 100 firms

管理學院專班-工業工程與管理學程

規劃求解、機器學習、群集演算法、投資組合、Solver、machine learning、cluster algorithm、portfolio

Applying Clustering Algorithms and Mathematical Programming to Analyze the Optimal Investment Portfolio of Taiwan ESG Market Capitalization Stocks

管理學院專班-工業工程與管理學程

規劃求解、集群分析、機器學習、股票投資組合、股票風險控制、台股、Mathematical programming、Portfolio optimization、Clustering analysis、Machine learning、Risk preference、Taiwanese stocks

Applying clustering algorithms and mathematical programming to analyze the optimal investment portfolio of India NIFTY 50 firms

管理學院專班-工業工程與管理學程

投資組合優化、數學規劃求解、風險偏好、集群分析、選股指標、Portfolio Optimization、Mathematical Programming Solution、Stock Selection Indicator、Risk Preference、Clustering Analysis

Application of Reinforcement Learning in Portfolio Management for Taiwan Stock Market

工業工程與管理學系

選股策略、資產配置調整頻率、強化學習、臺灣股市、投資組合管理、Stock selection strategy、Rebalancing Frequency、Reinforcement learning、Taiwan Stock Market、Portfolio Management

Integrating Hybrid Deep Learning with Feature Engineering to Conduct Turbofan Engines Health Diagnostics

工業工程與管理學系

渦輪引擎、特徵選取、特徵萃取、機器學習、深度學習、剩餘使用壽命、Turbofan engine、Feature selection、Feature extraction、Machine learning、Deep learning、Remaining useful life

Integrating Discrete Wavelet Transform and Feature Engineering in Bearing Fault Detection

工業工程與管理學系

軸承、特徵工程、離散小波轉換、異常診斷、機器學習、Bearing、Feature engineering、Discrete wavelet transform、Fault detection、Machine learning

Application and Comparison of Reinforcement Learning and Traditional Models in Global Asset Allocation

工業工程與管理學系

強化學習、平均數-變異數模型、定期定額、投資組合管理、再平衡週期、Reinforcement learning、Mean-variance model、Dollar-cost averaging、Asset allocation、Rebalancing frequency

Applying clustering algorithms and mathematical programming to analyze the optimal investment portfolio of Nikkei 225 index

管理學院專班-工業工程與管理學程

機器學習、投資組合優化、數學規劃、k-means、Machine Learning、Portfolio Optimization、Mathematical Programming

Applying Clustering Algorithms and Mathematical Programming to Analyze the Optimal Investment Portfolio of North American Technology Sector

管理學院專班-工業工程與管理學程

投資組合最佳化、夏普率、數學規劃、機器學習、集群分析、Portfolio optimization、Sharpe ratio、Mathematical programming、Machine learning、Clustering analysis

Optimizing Investment Portfolios in Southeast Asia and India Using Clustering and Mathematical Programming

管理學院專班-工業工程與管理學程

規劃求解、投資組合優化、風險偏好、集群分析、機器學習、Mathematical programming、Portfolio optimization、Risk preference、Clustering analysis、Machine learning

Using Clustering Algorithms for Analyzing European Funds and Portfolio Optimization

管理學院專班-工業工程與管理學程

海外基金、風險值、集群演算法、規劃求解、投資組合優化、機器學習、Foreign Funds、Risk Value、Clustering Algorithms、Optimization Solutions、Portfolio Optimization、Machine Learning

Application of cluster algorithm to analyze the optimal investment portfolio of Mainland China and Hong Kong funds

管理學院專班-工業工程與管理學程・共同指導：林春成

規劃求解、機器學習、年化變異數、群集演算法、投資組合、Solver、machine learning、annualized variation、cluster algorithm、portfolio

Application of Clustering Algorithm and Portfolio Optimization in Taiwan, Japan and South Korea Funds

管理學院專班-工業工程與管理學程

聚類演算法、投資組合優化、選股指標、風險偏好、規劃求解、Clustering Algorithm、Portfolio optimization、Stock selection indicator、Risk preference、Programming solver

Optimizing Returns and Risks in North American and Latin American Investments: The Application of Clustering Analysis Strategies

管理學院專班-工業工程與管理學程・共同指導：林春成

夏普值、聚類分析、數學規劃、K-medoids、投資組合優化、Sharpe ratio、Cluster analysis、Mathematical programming、Portfolio optimization

State of Health Prediction and Diagnostic Analytics for Lithium-ion Battery Using Machine Learning

工業工程與管理學系

鋰電池效能預測、機器學習、特徵工程、Lithium-ion battery performance prediction、Machine learning、Feature engineering

Product Positioning and Sentiment Prediction for Digital Camera Using Text Mining and Language Model

工業工程與管理學系・共同指導：林春成

文字探勘、數位相機、語言模型、主題建模、情感預測、產品改善、text mining、digital camera、language model、topic modeling、sentiment prediction、product improvement

Integrating Feature Engineering with Machine Learning to Conduct Hard Drive Disk Health Management and Diagnostic Analytics

工業工程與管理學系

傳統固態硬碟、特徵工程、機器學習、深度學習、異常診斷、hard drive disk、feature engineering、machine learning、deep learning、fault diagnosis

Application of Machine Learning in India Stock Market Forecasting and Portfolio Management

工業工程與管理學系

Risk Considerations、Machining Learning、Portfolio Management、Stock prediction、風險考量、機器學習、Nifty 50、投資組合管理、指數預測

Application of Machine Learning in Japan Stock Market Forecasting and Portfolio Management

工業工程與管理學系・共同指導：林春成

特徵選取、股市預測、強化學習、機器學習、投資組合管理、Feature selection、Stock forecasting、Reinforcement learning、Machine learning、Portfolio Management

Product Evaluation and Sentiment Analysis for Tablet Using Text Mining and Natural Language Processing

工業工程與管理學系

平板、文字探勘、自然語言處理、情感預測、產品改善、主題分析、tablet、text mining、natural language processing、sentiment prediction、product improvement、topic analysis

Application of Machine Learning Methods to Analyze and Predict Japanese Stock

管理學院專班-工業工程與管理學程

機器學習、集成學習、迴歸分析、迴歸模型、股價預測、Machine Learning、Ensemble Learning、Regressive Analysis、Regressive Model、Stock Prediction

Predicting the Indian Stock Price Index Using Machine Learning

管理學院專班-工業工程與管理學程

機器學習、隨機森林、多元自適應雲形迴歸、極限梯度提升、多元線性迴歸、股價指數預測、machine learing、Random forest、MARS、XGB、MLR、Stock Price Index Prediction

Integrating Deep Learning with Goal Programming to Conduct Korea Stock Market Forecasting and Portfolio Optimization

工業工程與管理系所

股價指數預測、深度學習、投資組合優化、選股指標、風險偏好、Stock index prediction、Deep learning、Portfolio optimization、Stock selection indicator、Risk preference

Revenue Forecasting Considering Dynamic Relationship

管理學院工業工程與管理學程

營收預測、動態關係、便利商店業、自行車製造業、三次指數平滑法、Revenue Forecasting、Dynamic Relationships、Convenience Store Industry、Bicycle Manufacturing、Holt-Winters

Combining Social-economic Indicators and Environmental Factors to Forecast U.S. Electricity Demand

工業工程與管理系所

特徵選取、電力、需求預測、機器學習、深度學習、地區比較、Feature selection、Electricity、Demand forecasting、Machine learning、Deep learning、Regional comparison

Product Analysis and Sentiment Prediction for Smartphones Using Text Mining and Natural Language Processing

工業工程與管理系所

智慧型手機、文字探勘、自然語言處理、情感預測、產品改善、主題分析、smartphone、text mining、natural language processing、sentiment prediction、product improvement、topic analysis

Service Analysis and Sentiment Prediction in the U.S. Airline Industry Using Text Mining and Natural Language Processing

工業工程與管理系所

航空業、機器學習、深度學習、文字探勘、服務分析、情感預測、airline、machine learning、deep learning、text mining、service analysis、sentiment prediction

Integrating Machine Learning with Deep Learning to Conduct Diagnostic Analytics for Semiconductor Assembly and Testing Equipment Health Management

工業工程與管理系所

異常診斷、剩餘使用壽命、探針針長、探針卡、設備健康管理、fault diagnosis、remaining useful life、probe length、probe card、equipment health management

Integrate Deep Learning and Goal Programming for Taiwan Stock Market Forecasting and Optimal Investment Portfolio

工業工程與管理系所

資產組合、股市指數預測、風險、報酬、目標規劃、機器學習、Index prediction、Investment portfolio、Risk、Goal programming、Machine learning

Combining Social-economic Indicators and Environmental Factors to Forecast Air Quality Index

工業工程與管理系所

特徵選取、特徵萃取、空氣品質、機器學習、深度學習、Feature selection、Feature extraction、Air quality、Machine learning、Deep learning

Combining Machine Learning with Data Envelopment Analysis to Conduct Demand Forecasting and Performance Management for Container Shippers and Bulk Carriers

工業工程與管理系所

貨櫃航運、散裝航運、需求預測、機器學習、資料包絡分析法、Container ships、Bulk carrier、Demand forecasting、Machine learning、Data envelopment analysis

Sales Forecasting and Market-Share Estimation for Central and Graphical Processor Units

工業工程與管理系所

電腦晶片產業、營收預測、競爭動態、資料包絡分析法、馬可夫鏈、Computer chip industry、Revenue forecast、Competitive relationship、DEA、Markov chain

Task-Oriented Chatbot Experience: The Effect of Guidance Types/Timings Combinations

工業工程與管理系所・共同指導：張永儒

對話式機器人、使用者經驗、引導語、心智模型、Chatbot、User experience、Guidance、Mental model

Combining Machine Learning with Data Envelopment Analysis to Conduct Sales Forecasting and Performance Management for Multinational Airlines

工業工程與管理系所

流行病、航空業、機器學習、銷售預測、競爭關係、效率分析、Pandemic、Aviation industry、Machine learning、Sales forecasting、Competitive relationship、Efficiency analysis

Sales Forecasting and Market-Share Estimation for Dynamic Random Access Memory

工業工程與管理系所

動態隨機存取記憶體、競爭關係、需求預測、市佔估計、機器學習、DRAM、commercial competition、demand driven forecasting、market-share、machine learning

Integrating Deep Learning with Goal Programming to Conduct Electricity Demand Forecasting and Supply Optimization

工業工程與管理系所・共同指導：李榮貴

電力、需求預測、深度學習、雙目標線性規劃、目標規劃、electricity、forecasting、deep learning、goal programming、optimization

Combining Feature Engineering and Deep Learning to Predict the Remaining Useful Life of Turbofan Engines

工業工程與管理系所・共同指導：李榮貴

特徵工程、剩餘使用壽命、渦輪引擎、機器學習、深度學習、Feature engineering、Remaining useful life、Turbofan engines、Machine learning、Deep learning

Using Machine Learning to Predict the Revenue of Retail Chain

管理學院工業工程與管理學程

零售業、營業額、公開經濟指標、機器學習、預測、迴歸、時間序列、Retailers、Revenue、economic indicators、Machine learning、forecasting、regression、time series forecasting models

Using Machine Learning to Predict the Thickness of Plating Metal Layer - Case study of S company

管理學院工業工程與管理學程

資料採礦、線性迴歸(MLR)、多元適應性雲型迴歸(MARS)、迴歸樹(CART)、隨機森林(Random Forest)、梯度提升迴歸(Gradient Boost)、支撑向量迴歸(Support Vector Regression)、自適應增強(Ada Boost)、羅吉斯迴歸(Logistic Regression)。、鑑定成本、Data Mining、Linear Regression、Multivariate Adaptive Regression Splines (MARS)、Regression Tree、Random Forest、Gradient Boosted Regression (GB)、Support Vector Regression、Ada Boost、Logistic Regression、Appraisal costs

Applying machine learning to predict the useful life of spares - A case study on RF probe card

管理學院工業工程與管理學程

晶圓針測、射頻探針卡、機器學習、分類迴歸樹、集成機器學習算法、支持向量機、隨機森林演算法、深度神經網路、Wafer probing、machine learning、predictive maintenance、CNN、XGB、SVM、random forest algorithm、deep neural network

Sales Forecasting and Demand Planning for Microprocessor Units

工業工程與管理系所

微處理器、銷售預測、需求規劃、隨機模擬、競爭分析、Microprocessor、Sales Forecasting、Demand Planning、Stochastic Simulation、Competitive Analysis

Combining Dynamic Competition and Technological Innovation and Diffusion Model to Forecast the Panel Industry Revenues and Shipments

工業工程與管理系所

需求預測、動態競爭、技術擴散、面板廠商關係、手機面板技術、Demand forecasting、Dynamic Competition、Technological Diffusion、Panel Manufacturer Relations、Mobile phone panel technology

Considering Dynamic Competition and Technology Substitution and Diffusion to Forecast the Revenue of Semiconductor Firm

工業工程與管理系所

半導體晶圓代工、營收預測、技術替代、技術擴散、競爭動態關係、Foundry、Forecasting、Technological diffusion、Substitution、Competition

Sales Forecasting and Demand Planning for Memory Industry

工業工程與管理系所

競爭關係、需求規劃、機器學習、記憶體產業、銷售預測、Competitive relationship、Demand planning、Machine learning、Memory industry、Sales forecasting

An Application of Demand Driven Material Requirements Planning to Estimate the Feasibility of Inventory Management and Shipping Fill Rate Improvement in Mobile Phone IC Design House - A Case Study of M Company

管理學院工業工程與管理學程・共同指導：李榮貴

限制理論、無晶圓廠、庫存管理、DDMRP、TOC、Fabless Semiconductor Company、Inventory Management

Employ DBR and LP Model to Improve Wafer Sorting Planning

管理學院工業工程與管理學程

晶圓測試、產能規劃、線性規劃、限制驅導式排程、Wafer Sorting、Production Planning、Linear Programming、Drum-Buffer-Rope

A Study of TOC Throughput Accounting in Quotation - The Case Study of Inkjet Ink Factory

管理學院工業工程與管理學程

限制理論、產出會計、Theory of Constraints、Throughput Accounting、TOC

Using Machine Learning to Predict the Etching Depth of Plasma Sputtering Deposition

管理學院工業工程與管理學程

濺鍍沉積、電漿、蝕刻率、蝕刻深度、機器學習、預測性維護、複迴歸演算法、多元適應性雲形迴歸演算法、迴歸樹演算法、隨機森林演算法、梯度提升迴歸演算法、支撑向量迴歸演算法、自適應增強演算法、羅吉斯迴歸演算法、Sputtering deposition、Plasma、Etch rate、Etch depth、Machine learning、Predictive Maintenance、MLR、MARS、CART、Random Forest、Gradient Boosting、SVR、AdaBoost、Logistic

Using Design of Experiments to Improve the First Pass Yield of Power Level for Wireless Products – A Case Study of A Company

管理學院工業工程與管理學程・共同指導：唐麗英

發射功率、實驗設計、直通率、無線網路、裸版測試、變異數分析、Power level、Design of experiments、First pass yield、Wireless fidelity、Bare version test、Analysis of Variance

Using Machine Learning to Predict the Thickness of Precious Metal Layer

管理學院工業工程與管理學程

資料採礦、化學鎳鈀浸金、線性迴歸、多元適應性雲形迴歸、迴歸樹、隨機森林、梯度提升迴歸(GB）、支撑向量迴歸、自適應增強、羅吉斯迴歸、Data Mining、Linear Regression、Multivariate Adaptive Regression Splines (MARS)、Regression Tree、Random Forest、Gradient Boosted Regression (GB)、Support Vector Regression、AdaBoost Algorithm、Logistic Regression

The Effect of Power Asymmetry and Negotiation Experience on Group Negotiation Outcome.

工業工程與管理系所・共同指導：洪瑞雲

多人決策、權力結構對稱性、團體協商、group decision making、power structure、group negotiation

Using Design of Experiments to Determine the Optimal Parameters-Setting for an IC Etching Process-A Case Study of M Company

管理學院工業工程與管理學程・共同指導：唐麗英

乾蝕刻、線寬均勻度、實驗設計法、Dry Etch、Critical Dimension Uniformity、Design of Experiments

Forecasting telecom adopters considering dynamic competition and multi-generation technology diffusion

工業工程與管理系所

電信業、用戶數預測、動態競爭、多代科技擴散、科技替代、時間序列、Telecom、Adopter forecast、Dynamic competition、Multi-generation technology diffusion、Technology substitution、Time series

CPU and GPU Demand and Market Share Forecasting

工業工程與管理系所

需求預測、垂直水平動態關係、水平動態關係、Demand forecasting、Vertical dynamics、Horizontal dynamics

Demand Forecasting for Smartphone Shipments Considering the Dynamic Relationship and Economic Indicators

工業工程與管理系所

動態關係、經濟指標、需求預測、Dynamic Relationship、Economic Indicators、Demand Forecasting

Revenue forecasting for retail stores and e-commerce platform by considering the relationship between economic indicators and dynamic competitions

工業工程與管理系所

台灣零售業、經濟指標、機器學習、馬可夫、競爭關係、Retail Industry、Economic Indicator、Machine Learning、Markov Transition Matrix、Competitive RelationshipJung-Hsuan Wang

Using Design of Experiments to Determine the Optimal Parameters-Setting for a Computer Numerical Control Machine -A Case Study of X Company

管理學院工業工程與管理學程・共同指導：唐麗英

上電極、微塵、電腦數值控制銑床、實驗設計、良率、刀具壽命、Upper Electrode、Particle、Computer Numerical Control、DOE、Yield、tool life

Study on Implement Intelligent Manufacturing in Module Factory of TFT-LCD

管理學院工業工程與管理學程・共同指導：李榮貴

薄膜電晶體液晶顯示器、精實管理、工業4.0、智能製造、TFT-LCD、ECRS、Industry 4.0、Intelligent Manufacturing

Constructing an Information Platform for Compling EU REACH Regulations -A Case Study of T Company

管理學院工業工程與管理學程・共同指導：唐麗英

ECHA、REACH法規、統一塑模語言、資訊平台、環境保護、REACH regulations、UML、information platform、environmental protection

Program Document Control Process Improvement- Take A Company as Case Study

管理學院工業工程與管理學程・共同指導：李榮貴

流程改善、精實管理、ECRS分析、價值流程圖、Process improvement、Lean、ECRS、VSM

Capacity planning and interactive dynamics for motherboard

工業工程與管理系所

主機板產業、機器學習、時間序列、需求預測、產能規劃、營收預測、Motherboard industry、Machine learning、Time series、Demand forecasting、Capacity planning、Revenue forecasting

Demand, price and revenue forecasting for dynamic random access memory

工業工程與管理系所

需求預測、價格變化、供應鏈分析、類神經網絡、敏感性分析、DRAM industry、demand forecasting、price variation、time series、neural network、sensitivity analysis

Demand Forecasting for Consumer Electronics Considering the Dynamic Relationship

工業工程與管理系所

消費性電子產品、需求預測、產品組合管理、三次指數平滑法、動態關係、時間序列、向量自迴歸、Consumer electronics、demand forecasting、product portfolio management、Holt-Winters、ARIMA、VAR、Lotka-Volterra model

Price and revenue forecasting for flash memory

工業工程與管理系所

快閃記憶體、時間序列、機器學習、敏感度分析、價格與營收預測、Flash industry、time series、machine learning、sensitivity analysis、price and revenue forecasting

Combining Machine Learning and Time Series to Predict Revenue of Semiconductor Industry Chain

工業工程與管理系所

迴歸方法、時間序列、需求及營收預測、敏感度分析、Regression Method、Time Series、Demand and Revenue Forecast、Sensitivity Analysis

Comparing the Effects of Single Target with Dual Targets on Vigilance and Response Bias in a Vigilance Task: An Application of Attentional Boost Effect

工業工程與管理系所・共同指導：洪瑞雲

警覺性、反應偏好、雙重作業的設計、注意力增強效應、vigilance、response bias、design of a dual task、attentional boost effect

Improving stock management by simulation verification thesis – A case study of cloud device manufacturing company F.

管理學院工業工程與管理學程・共同指導：李榮貴

限制理論、拉式需求、動態庫存管理、Theory of Constraint、Demand-pull、Real-time inventory level monitoring

The Effects of Goal Setting Number and Reoccurrence of Unexpected Object on Inattentional Blindness

工業工程與管理系所・共同指導：洪瑞雲

不注意視盲、目標設置、非預期物件、inattentional blindness、goal setting、unexpected object

Analyzing the Reasons Why Taiwanese Travelers Choose the Domestic or Foreign Tourism

管理學院工業工程與管理學程・共同指導：唐麗英

台灣旅客、旅遊動機、旅遊阻礙、旅遊滿意度、Taiwanese Tourists、Tourist Motivation、Travel Constraints、Tourist Satisfaction

Determining the Optimal Operation Conditions of Interval training of Phase II Cardiac Rehabilitation by using Response Surface Methodology.

管理學院工業工程與管理學程・共同指導：洪瑞雲

心臟復健、間歇性訓練、反應曲面法、cardiac rehabilitation、interval training、Response surface methodology、RSM

Using Design of Experiments to Improve MEMS Pressure Sensor Recycle Rate of Shipping Material –a Case Study of B MEMS Foundry

管理學院工業工程與管理學程・共同指導：唐麗英

MEMS 壓力感測器、部分因子設計、反應曲面法、變異數分析、MEMS pressure sensor、Fractional Factorial Design、Central Composite Design、ANOVA

Analyze and discuss non-profit organization’s fundraising issues and its solutions-A case study of Hsinchu Service Unit of Syin-Lu Social Welfare Foundation

管理學院工業工程與管理學程・共同指導：李榮貴

募款金字塔理論、漩渦式理論、SWOT分析、系統思維工具、fundraising pyramid、vortex theory、SWOT analysis、TOC thinking process tools

Feasibility Analysis of Reducing time For Verifying Product Reliability – A Case Study of A Company

管理學院工業工程與管理學程・共同指導：唐麗英

高溫操作壽命測試、加速測試、多變量變異數分析、可靠性驗證、HTOL、Accelerated test、MANOVA、Reliability verification

Using Design of Experiments to Determine the Optimal Process Parameter-Setting for Reducing the Solder Resist Roughness-A Case Study of a Substrate Company in Taiwan

管理學院工業工程與管理學程・共同指導：唐麗英

粗糙度、載板、防焊、實驗設計、反應曲面法、Roughness、Carrier、Solder resist、Design of Experiment、Response Surface Method

Combining Hidden Markov Model with Ensemble Learning to Predict Hidden States and Conduct Stochastic Simulation

工業工程與管理系所

隱馬可夫模型、整體學習、貝氏信賴網路、隨機模擬、隱藏狀態、Hidden Markov Model、Ensemble Learning、Bayesian Belief Network、Stochastic Simulation、Hidden States

Capacity planning for Taiwan's printed circuit board industry based on demand forecast of downstream consumer electronics

工業工程與管理系所

需求預測、隨機森林、支援向量機、機器學習、印刷電路板產業、Demand Forecast、Random forest、support vector regression、machine learning、printed circuit board industry

Combining Data Mining and Time Series to Forecast Taiwan's Machine-Tool Companies

工業工程與管理系所

工具機產業、變數篩選、資料探勘、時間序列、績效預測、machine-tool industry、variables selection、data mining、time series、KPIs prediction

Improving the management of inventories based on DDMRP -A Case Study of A Company

管理學院工業工程與管理學程・共同指導：李榮貴

長鞭效應、供應鏈管理、DDMRP、Bullwhip effect、Supply chain management、Demand Driven MRP

Improving Due-Date Performance–a Case Study of X Company

管理學院工業工程與管理學程・共同指導：李榮貴

持續改善、交期改善、A3問題分析方法、A3報告、Kaizen、Delivery Improvement、A3 Report

A Study of Using Flexsim Software to Simulate DBR and Small lot Methods to Improve Process Cycle Time—A Case Study of P Company.

管理學院工業工程與管理學程・共同指導：李榮貴

限制理論、限制驅導式、拉式系統、小批量方法、Theory of Constraint、Drum-Buffer-Rope、DBR、Demand-pull、Small lot method

Using Weighted Association Rule to Decide Storage Assignment

管理學院工業工程與管理學程

儲位規劃、ABC分析、EIQ、關聯規則、Storage assignment、EIQ analysis、Class-based policy、Association Rule

Integrating Multiple Correspondence Analysis with Multidimensional Scaling to Achieve Market Segmentation for Internet of Things-An Example of Smart Home

管理學院工業工程與管理學程

對應分析、多重對應分析、多元尺度、市場區隔、correspondence analysis、multiple correspondence analysis、multidimensional scaling、market segmentation

Combining Data-Analytics and Time Series to Forecast Semiconductor Companies of Taiwan

工業工程與管理系所

半導體產業、隨機森林、資料採礦、格蘭傑因果關係、時間序列、semiconductor industry、random forest、data-mining、Granger causality test、time series

Using Bayesian Belief Network to Perform Strategic Analysis and Stochastic Simulation for Taiwanese Computer Industry

工業工程與管理系所

貝氏信賴網路、台灣電腦產業、價值鏈、策略分析、模擬、Bayesian Belief Network、Taiwanese Computer Industry、Value Chain、Strategic Analysis、Simulation

Combining Statistical Regression and Machine Learning to Simulate Corporate Performances of Taiwanese Semiconductor Industry

工業工程與管理系所

半導體產業、平衡計分卡、機器學習、資料探勘、績效診斷、Taiwanese semiconductor industry、balanced scorecards、data-mining、business diagnosis

Using Time Series to Conduct Business Analytics and Performance Prediction for Taiwanese Computer Companies

工業工程與管理系所

台灣電腦產業、變數篩選、時間序列、商業解析、績效預測、動態迴歸、Taiwanese computer industry、feature selection、time series、business analytics、performance prediction、dynamic regression

Qualitative Analysis and AHP Approach in Outstanding Playwrights’ Creative Process: A Case Study on excellent screenplay winners

工業工程與管理系所

多重個案研究、創作歷程、八卦系統之創造問題解決、層級分析法、Multiple Case Study、Creative Process、Eight Trigrams(BaGua) Model of Creative Problem Solving、Analytic Hierarchy Process

Combining data-mining techniques with Bayesian belief network to estimate corporate performances of Taiwanese IC design companies

工業工程與管理系所

積體電路設計產業、平衡計分卡、貝氏信賴網路、資料採礦、績效診斷、IC design industry、balanced scorecards、Bayesian belief network、data-mining、business diagnosis

Combining Technology Acceptance Model with Data Mining Methods in Smart-TV Users’ Purchase Forecasting

工業工程與管理系所

科技接受模式、貝氏產品擴散模型、購買預測、支撐向量機、粗糙集理論、羅吉斯迴歸、資料採礦、Technology Acceptance Model、Bass Diffusion Model、Purchase Forecasting、Support Vector Machine、Rough Set Theory、Logistic Regression、Data Mining

Integrating Multiple Correspondence Analysis with Data Mining to Achieve Market Segmentation and Product Recommendation for Smart Wearable Devices

工業工程與管理系所

資料採礦、多重對應分析、關聯規則、最近鄰居法、市場區隔、產品推薦、data-mining、multiple correspondence analysis、association rules、k-nearest neighbors、market segmentation、product recommendation

Constructing Evaluation Indicators of IoT(Internet of Things) Smart Home Service

管理學院科技管理學程・共同指導：黃仕斌

物聯網、智慧家庭、評選指標、修正式資訊系統成功模式、整合科技接受理論、品質機能展開、修正式徳菲法、IoT、Smart Home、Evaluation Indicators、UTAUT、QFD、Modified Delphi

Integrating wireless sensor networks with quality control schemes to develop an innovative cold chain system

工業工程與管理系所

冷鏈、物聯網、品質管制、服務設計思考、Cold Chain、Internet of Things、Quality Control、Service Design Thinking

Applying AHP to Explore the Key Factors of Employee’s Performance Improvement of TFT-LCD Industry – A Case Study of Innolux

管理學院科技管理學程・共同指導：黃仕斌

層級分析法、人力資源管理、績效管理、績效提升、組織管理、AHP、Human Resource Management、Performance Management、Performance Improvement、Organization Management

Combining Decision Tree with Backpropagation Neural Networks to Forecast Corporate Performances of Taiwanese Solar Industries

工業工程與管理系所

決策樹、倒傳遞類神經網路、平衡記分卡、情境模擬、太陽能產業、Decision tree、Back Propagation Neural Network、Balanced Scorecard、scenario simulation、Solar Industries

Combining Balanced Scorecard with Data Envelopment Analysis to Assess Performance for Taiwanese Light Emitting Diode Industries

工業工程與管理系所

發光二極體產業、平衡計分卡、資料包絡分析法、變數篩選、決策樹、商業智慧、Light Emitting Diode Industries、Balanced Scorecard、Data Envelopment Analysis、Variable Selection、Decision Tree、Business Intelligence

Incorporating the voice of customer and the voice of designer into the process of market partitioning and product evaluation for 3D printing

工業工程與管理系所

需求區隔、設計規格、3D列印、品質機能展開、requirement segmentation、design configuration、3D printing、QFD

Optimizing Product Portfolios for LED Display

管理學院工業工程與管理學程

產品組合、線性規劃、限制理論、發光二極體顯示屏、Product portfolios、liner programming、theory of constraint、LED displays

Using Multiple Criteria Decision Making to select Programmable Logic Controller

管理學院工業工程與管理學程

可程式邏輯控制器、層級分析程序法、決策實驗室分析法、Programmable logic controller、PLC、AHP、DEMATEL

Combine correspondence analysis and data-mining to conduct purchase forecasting and market segmentation for smart watches

工業工程與管理系所

資料採礦、粗糙集理論、關聯規則、對應分析、購買預測、市場區隔、data-mining、rough set theory、association rules、correspondence analysis、purchase forecasting、market segmentation

A hybrid data-mining scheme to discuss customer churn management and service portfolio design for the credit-card industry

工業工程與管理系所

資料採礦、變數篩選、信用卡產業、顧客關係管理、服務組合設計、data-mining、feature selection、credit-card industry、customer relationship management、service portfolio design

Integrating decision tree with logistic regression to enhance customer retention and explore key drivers of passenger's airline selection

工業工程與管理系所

資料採礦、顧客保留、航空選擇、低成本航空、重要度績效分析、data mining、customer retention、airline selection、low-cost carrier、importance-performance analysis

Combining Data-mining Techniques with Artificial Neural Networks to Forecast Corporate Performances of Taiwanese IC Design Companies: a Balanced Scorecard Perspective

工業工程與管理系所

資料採礦、類神經網路、平衡記分卡、績效考核、情境模擬、變數選取、商業智慧、Data-mining、Artificial Neural Networks、balanced scorecard、performance appraisal、scenario simulation、feature selection、business intelligence

A study for optimizing order allocation and product input mix for the solar cell industry

管理學院工業工程與管理學程

太陽能產業供應鏈、跌價損失、線性規劃、訂單配置、投產組合、solar cell industry supply chain、inventory value loss、linear programming、order allocation、product input mix

The Research of Using Balanced Scorecard Framework on The Operating Performance of Taiwan's IC Design Industry

管理學院工業工程與管理學程

平衡計分卡、多變量分析、羅吉斯迴歸、Balanced Scorecard (BSC)、Multivariate analysis、Logistic regression

The application and simulation of Theory of Constraint to improve inventory management – A case study of A company

管理學院工業工程與管理學程

限制理論、需求拉動補貨、緩衝管理、Theory of Constraint、Demand Pull、Buffer Management

Integrating Kano Model with Conjoint Analysis to Preference-based Segmentation and Product Design

工業工程與管理系所

智慧型手機、Kano模式、聯合分析、偏好區隔、產品設計、smart phone、kano model、conjoint analysis、preference segmentation、product design

Incorporation of feature selection into classification methods to construct a model for credit scoring prediction

工業工程與管理系所

資料採礦、變數選擇、信用評等、分類預測模型、data mining、feature selection、credit rating、classification prediction model

The Impact of Feature Selection and Feature Extraction on the Performance of Bankruptcy Prediction: A Comparative Study

工業工程與管理系所

變數選取、變數萃取、分類正確率、財務危機預測、feature selection、feature extraction、classification accuracy、bankruptcy prediction

Construction of supply chain network simulation game

工業工程與管理系所・共同指導：張永佳

教學輔助工具、供應鏈網路、悅趣化數位學習、Teaching aid、Supply chain network、Game/Toy-based e-learning

The Study on Brand Positioning Strategy of Smartphone Incorporating Analysis Hierarchy Process and Multidimensional Scaling

工業工程與管理系所

定位策略、層級分析法、多元尺度法、權重績效分析、positioning strategy、analytical hierarchy process、multidimensional scaling、importance-performance analysis