A Decision Model For Tackling Logistic Optimization Problem in Online Business Environment

Online business has increased during the COVID-19 pandemic, but emergence of a number problems, namely reduced material supply, price fluctuations because an item is difficult to distribute and slow delivery due transportation goods based on type used (Trucks, Trains, Airplanes Ships). declines virus resulting in longer order waiting times. Pick-up Delivery Issues are variations Vehicle Routing that appear many real-world scenarios, such as product courier services. This work studies Pickup Problem with Time Windows, where must be transported from one location another, taking into account certain time limits vehicle capacity. aims minimize vehicles used, well operational costs for all routes. To solve this problem, mathematical model form Mixed Integer Linear Programming (MILP) Problems Windows