Aerospace Manufacturing Technology Conference & Exposition Technical Session Schedule Thursday, September 11 Cost Reduction - Panel (Session Code: AMT23) Room 510B  1:00 p.m. Collective System Design (CSD) is a product development and delivery strategy that allows for the development of a Production System Model (or map) enabling detailed design and implementation of robust manufacturing systems. CSD facilitates the development of a precedence network that identifies the functional requirements of a manufacturing system and maps them to their corresponding solutions. This ensures that production systems are lean by design and allows for the use of Lean/Six Sigma and Value Stream Mapping tools for continuous improvement activities. The framework is centered on cost, quality, problem resolution, span time reduction, predictable output, and product design. CSD is an emerging methodology being applied across several industries and has been adopted by Lockheed Martin for the Joint Strike Fighter (JSF) Program and the F-22 mid-fuselage built in Fort Worth. The cost reduction session will focus on challenges associated with current paradigms of how to achieve quantifiable cost reduction. Most accounting practices do not facilitate sound investment decisions and fail to recognize the benefits of initiatives that improve the overall production system performance (i.e. span time reduction efforts). Concepts and techniques for capturing and quantifying system costs to assist in determining where current and future investments should be focused will be discussed. Panelists will include representatives from the JSF and F-22 Programs along with Dr. David Cochran of MIT, developer of CSD. Organizers - Steve Sheamer, Lockheed Martin Aeronautics Co. Chairpersons - David Ford, Lockheed Martin Aeronautics Co. Panelists - David M. Ford, Lockheed Martin Aeronautics Co. David S. Cochran, Massachusetts Institute of Technology Soumen Saha, Northrop Grumman Corp. Jon Hilton, Lockheed Martin Aeronautics Co. Makoto Kawada, Meijo Univ. Anna Thornton, Analytics Operations Engineering