Supply Chain

挑战

丝绸之路就是最早的supply chain，从中国运丝绸和茶叶，从欧洲运香料。而现在的supply chain复杂度更高。

现在Supply Chain的挑战：Faster, more flexible, more granular, and more efficient

1. Rising Customer Expectations: - Real Time Tracking - Precise Inventory Management - Wide range of product availability - High availability, reliable lead times, transparency

2. Fast Fulfillment and Large Volume of Orders - Fast-paced timeline of ordering (overnight shipping for holiday) - Quick growth of parcel and less-than-truckload shipment

3. Uniqueness and Large Variation of Order - Special requirement of configuration, urgency and delivery locations - Ad hoc and real time planning (last minute change, change typo, etc.)

4. Leader and Management Team requires 360 degree visibility - Leaders orchestrate demand and supply, information from different channels - End-to-End transparency throughout the supply chain

5. Accelerating Scale, Scope and Depth of Data - Utilize such immense data sets to drive contextual intelligence - Enable more complex supplier networks that focus on knowledge sharing and collaboration instead of just completing transactions is critical

RFID: Radio Frequency Identification

Twitter feeds: sentiment 大众对产品的考虑，可以给出降价

Bullwhip Effects

Data角度的Supply Chain

正在解决这些问题的公司/平台

Oracle SCM, SAP APO (Advanced planning and optimization), JDA, IBM Watson supply chain, Kechie ERP, E2 Open, Deepsense.ai

Retailers

Demand forecasting, supply planning, A/B testing, root cause analysis, inventory optimization, price optimization, on-time delivery, customer survey etc.

Logistic Companies

Transportation/fuel optimization, lead-time prediction, on time performance

Consumer Goods Companies

Manufactoring

Pharmaceutical

Demand Forecasting

1. Traditional Commercial Software: SPSS, SAS

2. Commercial Machine Learning Platform: Google Cloud AutoML, DataRobot, Dataiku, H2O

3. Build in-house solution from scratch

资源

Supply Chain Analytics EssentialsCoursera

Predictive Modeling and AnalyticsCoursera

供应链物流Coursera