Data-Driven Approach for Schedule Optimizations

Imagine you are the manager of a restaurant. Today happens to be a busy day, and you are now short of manpower to complete the orders from customers. The vegetables need to be washed, the chicken needs to be cut, meanwhile, the dishes need to be done… After the food is cooked, someone also needs to serve the food and collect money from customers. Seeing the to-do list getting longer and longer, now you are feeling a bit anxious: who should you assign to work on what tasks, so that you can complete all the orders within minimum time? The scenario I have just described is actually a scheduling problem by nature.