Integrated Logistics: Optimizing the USMC Quadrant Model Using Intelligent Agent Technologies

摘要

In 1998, the Marine Corps initiated the Integrated Logistics Capability (ILC) to specifically address issues related to Marine Corps logistics doctrine, policy, and processes. The purposes of ILC initiatives were to define, measure, and improve core logistics capabilities to meet the challenges of the new millennium and beyond. During a four week Best Business Practices seminar hosted by Penn State, several key concepts were analyzed that would improve cost leverage, enhance the robustness of supplier relationships, and substitute technology and information for inventory. In an effort to successfully integrate these issues, a segmentation methodology or Quadrant Model approach was introduced. The Quadrant Model is essentially a two-by-two matrix that classifies products, services, and inventory items into four mayor cells. Each cell is further categorized by uniqueness and valve, and each cell implies different approaches to managing inventory, supply chains, and vendor relationships. The objective of this thesis is to determine how Intelligent Agent (IA) technologies may innovate the logistical processes associated the critical quadrant, which categorizes materials, products and services that are unique, high valve in terms of cost, and therefore high risk. These materials may only be available from a few sources, are in limited quantities, and require extensive coordination and sharing of information between parties. The researcher applies a model derived from previous thesis work that examined the application of IA technology as a method to innovate the Standard Procurement System (SPS). Using a high-level process model of the 'critical' quadrant, the researcher identifies two applications of IA technology that may support attributes within the 'critical' quadrant.