Integrated Approach to Due Date Assignment, Job Sequencing and MAGV Dispatching Problems

To ensure timely deliveries, it is essential to determine appropriate due dates and accurately estimate the flow time of orders.This study aims to identify an optimal policy for assigning due dates to orders by considering material handling system dispatching and machine priority rules in a workshop operating within a flexible production system.A total of 4032 simulation models were developed in the study, addressing six different problem areas: due date assignment, job sequencing, task determination for Multi-load Automated Guided Vehicles (MAGVs), delivery point selection, pickup point selection, and load selection.These models were evaluated using five distinct performance criteria.The results indicate that the Constant Due Date (CON) rule is the most effective for assigning due dates.Compared to other rules, the CON rule demonstrates an average improvement of 0.054 % in the number of outputs, 1.81 % in flow time, 3.85 % in lateness, and 2.35 % in deviation time.However, for earliness, the Jobs in Queue (JIQ) rule outperform other rules by 11.58 %.