Abstract
The supply chain includes all the steps in an item's life cycle starting from raw material and all the way to the customers. Delays in these steps have always been a problem faced by businesses due to the huge financial loss these delays account for. These delays frequently cause significant financial losses, irritate customers, and loss of customer confidence. The aim of this study is to construct a prediction model that predicts late deliveries before its occurrence with the use of big data and machine learning. The study used Dataco Supply Chain dataset and cleaned, visualized, and trained it using several classification machine learning algorithms. Finally, potential models were compared and the best one was chosen based on accuracy and recall values.
Publication Date
Fall 2022
Document Type
Master's Project
Student Type
Graduate
Degree Name
Professional Studies (MS)
Department, Program, or Center
Graduate Programs & Research (Dubai)
Advisor
Sanjay Modak
Advisor/Committee Member
Khalil Al Hussaeni
Recommended Citation
Al-Saghir, Raghad, "Predicting Delays in the Supply Chain with the Use of Machine Learning" (2022). Thesis. Rochester Institute of Technology. Accessed from
https://repository.rit.edu/theses/11492
Campus
RIT Dubai
