SIMULATION-BASED PROCESS IMPROVEMENT FOR THE DDNV MATERIAL PROCESSING CENTER

Abstract

The Material Processing Center (MPC) at Defense Logistics Agency Distribution Norfolk faces intermittent workload surges, leading to backlogs, delays, and reduced fleet readiness. With little knowledge of future workload, MPC supervision struggles to manage resources effectively during peak throughput. Since the MPC manages last-mile logistics for over 70 fleet units in the Norfolk area, their package delivery delays directly impact mission readiness. To address this, we utilize Simio software to map workflow dynamics and predict system stability, conducting experiments to optimize resource allocation through each business cell (induction, consolidation, manifestation). Once we understand the current package flow, we design experiments to mirror peak workload, which will highlight the most common failure points that lead to backlogs and delays. After this, we design experiments, adjusting resources, personnel and equipment, to better realize the optimal positioning for the resources. Success is measured through a proof-of-concept demonstration, risk assessment, cost-benefit analysis, stakeholder engagement, and recommendations for reporting and analytics. Ultimately, our goal is to equip DDNV with sustainable strategies for enhancing operational efficiency and adaptability through efficient and effective resource allocation, ensuring long-term success in managing workload surges and maintaining fleet readiness.