Capability

NTUT Industry 4.0 Consulting Group specializes in the area of utilizing Big Data tools (AutoML, Python, SAS) to improve yield and overall equipment effectiveness. Construct a Big Data analysis model to identify suspicious equipment, and proceed to next step to find key influential factors that cause low-yield. Assist in planning, promoting, implementing industry 4.0. We have Big Data practical project experience in Electronics, Textile, LED and Semiconductor industry. Our team's philosophy: Big data + Machine Learning => Intelligent Enterprise. (北科工業4.0顧問團隊專精於應用大數據工具 (AutoML, Python, SAS) 提升良率與稼動率。建構大數據分析模式，把造成低良率的機台識別出來，進而找出造成低良率的關鍵因素。協助企業規劃、推動、執行與導入工業4.0。大數據實務專案經驗在電子電機、紡織、LED與半導體產業。我們團隊的理念：大數據 + 機器學習 => 智慧企業。)

For years of consulting experience, we are capable of the following industries:

Case I: 生物科技業最佳流程與實務經驗: Peptide/Functional Proteomics

How to model a flexible Bio-tech production process from pre-fermentation, mix, post-fermentation, dry and pack considering daily shop floor control, product costing, profitability analysis and processes message collection.

Case II: 高科技業最佳流程與實務經驗: TFT/LCD/Notebook/LED

Cross Plants Planning between Taiwan plant (single supplying plant) and Mainland plants (multiple demanding plants) using the processes of Forecast Planning, Demand Planning, MRP, Shop Floor Control, Quality Control and Stock Transfer Order back to Mainland plants.

Case III: 傳統產業最佳流程與實務經驗: 石化/水泥/飼料/麵粉/畜牧

Process Industry for Petrochemical, Cement and Fertility: 研發配方管理

Discrete Industry for Flour and Meat Dismantle Processes: 聯產品/副產品

Repetitive Industry for Animal Breeding Processes: 飼養管理系統

Case IV: 零售業最佳流程與實務經驗: 餐飲連鎖與生鮮超市連鎖

Restaurant Chained Stores: Logistics processes from the central kitchen to stores and mobile dining cars. Supermarket Chained Stores: Stores replenishment processes for flow through and cross docking processes; Integration between POS and Headquarter which generates Sales Information System.