Hi RG community,
I am scheduled to delivery a talk to undergraduate students and working degree professions and I need your suggestion.
What are contemporary supply chain problems that traditional lean six sigma tools cannot easily solve. The goal of my human engineering talk is to introduce machine learning and artificial intelligence to motivated students. Each student will understand supply chain fundamentals.
I look forward to your suggestions.
John W
I think that, generally speaking, as a rule of thumb if you move most traditional problems to include big data, then you can apply a machine learning algorithm. To examples come to my mind right now.
The most classic, focused on the retailer part of a supply chain, but impacting it as a whole, is using association rules to offer products combos or promotions. This may look simple at a first gaze, but it requires the supply chain as a whole to switch to be able to buy, produce, store and ship the pertinent products, which may change considerably fast.
You could also use optimization algorithms to change the best transporting route, according to real-time information which, once again, may turn into big data. If a supply chain is using RFIDs in their trucks, you can combine that with other data (such as weather, car accidents, traffic jams) to improve delivery routes (not only from retailer to client, but also from any member of the chain to any other member) in real-time.
I think that, generally speaking, as a rule of thumb if you move most traditional problems to include big data, then you can apply a machine learning algorithm. To examples come to my mind right now.
The most classic, focused on the retailer part of a supply chain, but impacting it as a whole, is using association rules to offer products combos or promotions. This may look simple at a first gaze, but it requires the supply chain as a whole to switch to be able to buy, produce, store and ship the pertinent products, which may change considerably fast.
You could also use optimization algorithms to change the best transporting route, according to real-time information which, once again, may turn into big data. If a supply chain is using RFIDs in their trucks, you can combine that with other data (such as weather, car accidents, traffic jams) to improve delivery routes (not only from retailer to client, but also from any member of the chain to any other member) in real-time.
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