In this research, we address the gap in the integrated production
and logistics problem literature in addition to providing an effective
solution method for the class of parallel machine scheduling problems with time-dependent cost functions. We provided an effective
modeling and solution approach for integrating production scheduling and logistics planning under commit-to-deliver policy for manufacturers. This research can be further extended to account for the
processor failures, delivery lead-time uncertainty, and shipping cost
discounts due to consolidation. Moreover, this work can be further
expanded to account for more detailed aspects of logistics and distributions systems especially important for the integrated production
and logistics planning in global supply chains with flexible manufacturing facilities.