Using marginal analysis to load Combat Logistics Force (CLF) ships

Abstract

This thesis provides an algorithm based on marginal analysis to help CLF Supply Officers load ships with Provisions (food), High Usage Load List (HULL), and ship store stock. The algorithm is incorporated into an EXCEL spreadsheet and produces a prioritized list of items in their optimum stocking sequence. The algorithm is compared to both the Atlantic and Pacific Fleet current loading methods using a food item example and shows a 60-70% increase in expected supply effectiveness. Furthermore, the algorithm is generic and can be applied to any inventory problem where a demand distribution is known and space is the limiting factor in determining stocking levels.