A Job-Shop Scheduling Model with Real-time Feedback for Physical Internet-based Manufacturing Shopfloor

This paper proposes a job-shop scheduling model which converts the real-time captured data as feedbacks into the model for more precise and reasonable decision-makings. The experiment shows that, from practice implementations, the proposed model is able to achieve good performance though comparing the concerned WIP inventory, Production Cycle, and Product Ratio from the case company. The lessons and key findings are converted into managerial implications for supporting decisions in PI-enabled production shopfloors.