Optimized Manning and Crew Design Tools for Future Surface and Undersea Platforms
Navy SBIR FY2009.1


Sol No.: Navy SBIR FY2009.1
Topic No.: N091-071
Topic Title: Optimized Manning and Crew Design Tools for Future Surface and Undersea Platforms
Proposal No.: N091-071-0590
Firm: Jenius, LLC
P.O. Box 1617
Pasadena, Maryland 21123-1617
Contact: Jennifer Narkevicius
Phone: (301) 904-3631
Web Site: www.jeniussolutions.com
Abstract: Manpower is a huge driver of Life Cycle Cost and Total Ownership Cost and cannot be ignored in the acquisition of new materiel systems. To maintain high levels of mission effectiveness while reducing the required manpower Human Systems Integration (HSI) must be an integral part of the acquisition, requirements, and design processes. HSI can be utilized to bring manpower analyses closer to systems engineering analyses, ensuring that these technologies best support the crewmembers that must interact with them. The overall goal of this three phase SBIR effort is to design and develop a flexible framework and architecture for a suite of optimized manning and crew design tools that can be utilized to assess HSI aspects of new or updated ship designs. Phase I tasks include gathering required CONOPS for a selected surface or undersea platform and associated empirical human performance data to leverage, extend, and integrate selected current tools, models, data and algorithms.
Benefits: HSI impacts design and life-cycle costs and are based on analysis of requirements and the concept of operations (CONOPS). However, there is not an agreed to set of tools. HSI practitioners need a robust and quantitative suite of tools and a framework that supports the interactions between them. We propose to create a networked constellation of HSI manning tools that are not only integrated from a data flow perspective but that are also positioned within the constellation so that the HSI analyst will be drawn to the right tool for the right HSI issue at the right time in the engineering process. In addition, the tools must support analyses at the correct level of granularity to the question at hand. This Phase I effort will deliver a specification for a flexible framework and architecture for that suite of optimized manning and crew design tools. This will include designs for a flexible architecture for considering various parameters at different acquisition phases and making various predictions including the effects of individual crew member performance moderators (workload, fatigue, sea state, vibration, temperature) on system performance, assessment of mission success or failure at different manning solutions, analysis of alternative crew designs, analysis of effects of missing, incomplete or inaccurate analyses at various design and manpower planning phases, and analysis of Total Ownership Costs. We will gather required CONOPS for a selected surface or undersea platform and associated empirical human performance data and then leverage, extend, and integrate selected current tools, models, data and algorithms. Anticipated benefits include more robust manpower analyses. This includes not only more rigorous MPT assessments and planning but also generation of data that can be quickly and accurately implanted in system design activities. This overall increase in analytical power will result in lower cost for acquisition (by reducing rework), manpower and personnel (by improving manpower planning analysis and reducing personnel costs including recruiting and retention), life cycle costs (by improving manpower planning for acquisition, operation, maintenance, and sustainment, and total ownership (by reducing required training and sustainment costs through more rigorous personnel analysis and improved system design. Phase II and III efforts will focus on developing the prototype suite of optimized manning tools to deliver these benefits and commercialize the product.

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