Robert Neches & Pedro Szekely, USC ISI, © 2000 CAMERA, Logistics Working Group CAMERA - MICANT Coordination Robert Neches, Pedro Szekely University of Southern California Information Sciences Institute Marina del Rey, California Gabor Karsai, Benoit Dawant Vanderbilt University Russ Currer Idea Services

Robert Neches & Pedro Szekely, USC ISI, © 2000 CAMERA, What Makes True Logistics a Good Negotiation Testbed? Dynamic, continuous process: Simultaneous long-range, short range and execution concerns –Six-month to year goals for Marine Expeditionary Units (MEUs): you, your aircraft, data, systems and 2k friends –Build/maintain weekly and daily schedules –Repair schedules on five minutes notice Strong good-enough / soon-enough pressures (same reasons) Contrast to traditional optimization –Cannot elicit full evaluation function in advance –Frequent need to change constraints to handle problem VERY high military payoffs: Money, Lives

Robert Neches & Pedro Szekely, USC ISI, © 2000 CAMERA, Key Ideas of a Joint Demonstration First demonstration of feedback loops in a large-scale negotiation process Commander’s Intent Mission-Sensitive Planning

Robert Neches & Pedro Szekely, USC ISI, © 2000 CAMERA, CAMERA / MICANTS Integration Plan 1. Scheduling/planning of short-term, tactical, corrective maintenance actions in light of the flight schedule SNAP supplies daily flight schedule to MAPLANT which in turn generates a daily maintenance plan 2. Scheduling/planning of long-term, strategic, scheduled maintenance actions w.r.t. long-term flight schedule SNAP supplies n-week flight schedule to MAPLANT which uses that to generate a long term maintenance plan 3. Scheduling flight operations based on plane availability MAPLANT provides a "best effort" estimates for the number of available aircrafts over time. SNAP creates a schedule based on these estimated generation rates. 4. Scheduling flight operations based on plane availability and capabilities MAPLANT provides a "best effort“ estimates for the number aircrafts, their capabilities, other attributes, and negotiable and non-negotiable constraints associated with them. SNAP creates a schedule based on this. 5. Negotiation between MAPLANT and SNAP The two systems interact using a well-defined messaging protocol to facilitate negotiation between the flight schedule and maintenance schedule. The objective is to explore trade-offs between the two aspects to achieve global optimization w.r.t. some metric (e.g., generation rate, CRP, etc.)

Robert Neches & Pedro Szekely, USC ISI, © 2000 CAMERA, Insights and New Directions Services rendered by negotiation –Control systems –Decision support Dimensions of scaling to explore –Speed: tie to replanning during missions –Size: coordinating much larger organizations –Planning horizon: very long-range planning

Robert Neches & Pedro Szekely, USC ISI, © 2000 CAMERA, Rough Demo Scenario OPSMaintenance Guidance MAPLANT SNAP First Cut Plan Refined Ops Plan Approx. Maintenance Plan (A/C status) Refined Maintenance Plan

Robert Neches & Pedro Szekely, USC ISI, © 2000 CAMERA, Tasks and Timeline CAMERA: implement SNAP initial assessment milestones (esp. flight hour guidance) MICANT: scope initial MAPLANT coverage of maintenance issues(portions of T&R manual, Mission Essential Systems List) in order to determine scenario specifics Week of Dec 18: VTC to define interfaces (probably XML DTDs), flesh out schedule based on scenario specifics Jan: coordination meeting Feb: Status review: GO vs. DEFER decision on scheduling If decision is GO, then: –Issue invitations to major constituents for high-profile demo in April –Schedule March integration and first rehearsal meeting –April: provide major demonstration at MCAS Yuma and/or other venues