Preparing Engineering Duty Officers (EDOs) for Command of Major Acquisition Shore Commands and Major Acquisition Programs

NPS NRP Technical ReportThe U.S. Navy's capabilities regarding the entire sequence of ships and shipboard systems acquisition (research, development, testing, production, deployment, and operations/maintenance of ships and shipboard systems) needs continuous improvement to counter advancing threats. Engineering Duty Officers (EDOs) have long been associated with these capabilities in both technical and leadership positions. Over the years, the range and complexity of these professional areas have increased, and some of the developmental leadership opportunities have become diluted. This study will conduct a focused analysis of the current fundamental leadership and professional development for EDOs in comparison with those of other Navy communities and Department of Defense (DoD) agencies and with private best practices. It will then focus on determining the leadership experiences required to prepare EDOs to successfully take command and lead the Navy's large, complex civilian organizations such as shipyards or regional maintenance centers. Based on findings, we will make recommendations for improving the EDO community talent management practices to successfully prepare EDOs for command and leadership of major shore acquisition commands. The study's findings will impact the Navy's capabilities regarding the research, development, testing, production, deployment, and operations and maintenance of ships and shipboard systems.N1 - Manpower, Personnel, Training & EducationThis research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrpChief of Naval Operations (CNO)Approved for public release. Distribution is unlimited.

2005 BRAC Commission

Volume XI Supply and Storage Joint Cross Service Group. The S&S JCSG was chartered to conduct a comprehensive review of DoD’s common business oriented Supply and Storage logistics functions

Aeronautical Engineering: A continuing bibliography with indexes, supplement 185

This bibliography lists 462 reports, articles and other documents introduced into the NASA scientific and technical information system in February 1985. Aerodynamics, aeronautical engineering, aircraft design, aircraft stability and control, geophysics, social sciences, and space sciences are some of the areas covered

Modernizing United States Air Force Logistics by Utilizing Electronic Data Processing Machines

Business Administratio

Supply chain strategy for a compressed flow-time retrofitting manufacturing process

Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering; in conjunction with the Leaders for Manufacturing Program at MIT, 2008.Includes bibliographical references (p. 57).In today's competitive environment, a compressed flow-time enables companies to present a strong value proposition especially for products with a high asset value. In a retrofitting manufacturing process the state of incoming product and customer requirements is unpredictable. This results in long flow-times from customer order to delivery of completed product. The uncertainty involved in identifying the parts forces companies to complete the engineering analysis and design before procuring parts from the supplier. The freighter conversions group at The Boeing Company is in the business of retrofitting passenger planes into cargo planes. The group is exploring ways to significantly reduce the overall conversion flow-time.This thesis presents an approach to group parts based on its reusability percentage and lead-time. The thesis then introduces a partially decoupled model where different strategies are applied to each group to reduce the overall flow-time.The analysis reveals a high degree of reusability in the retrofitting manufacturing process. Up to 90% of parts were used in every single conversion. When the highly variable parts are excluded, a strategy of ordering and stocking parts before the completion of engineering tasks can help reduce the flow-time with minimal risk. The results show that flow-time can be reduced from 27 to 11 with an investment of less than 1% of annual part cost in safety stock. The obsolescence risk associated with this strategy is less than 0.5% of annual part cost. The analysis further shows that there is a non-linear relationship between flowtime reduction and the investment required in safety stock and obsolescence risk. The analysis presented in this thesis is the result of work done during a 6.5 month LFM internship at The Boeing Company in Everett, Washington.by Sanjay Subramanian.S.M.M.B.A

1995 BRAC Commission

DoD Depot - Business Plan, Consolidation Study. Box 267.2, XS-002

Determining inventory base stock levels of expendable spare parts under service level agreement for on-time delivery

Availability of service parts is critical to have adequate equipment maintenance in order to avoid costs associated with unplanned shut downs, loss of production, and increase safety among others. Determining an adequate quantity of service parts to have is a challenging situation that companies have to deal with because service parts encompass intermittent demand; this type of demand is of variable size and occurring at irregular intervals. As consequence of the nature of service parts, companies have to have large quantities of parts in stock increasing their holding cost, or companies have to place expedited order to avoid late deliveries and avoid penalty fees. In this research, a model is developed in order to determine the inventory base level for all parts in order to minimize holding cost, penalty cost for late delivery and shipment cost while satisfying an agreed service level for on-time equipment delivery. Scenario based approach is utilized to provide a robust result. Given that constraints and variables increase dramatically, pre-processing techniques are utilized to reduce the model and obtain a solution for the large scale model within a reasonable time

The Use of Public-Private Partnerships as a Model for the Delivery of Goods and Services to the Government - Is This a New Concept in Government Contracting?

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Aeronautical Engineering: A special bibliography with indexes, supplement 37

This special bibliography lists 511 reports, articles, and other documents introduced into the NASA scientific and technical information system in October, 1973

Improved Spare Part Forecasting for Low Quantity Parts with Low and Increasing Failure Rates

Part demand forecasting methods assume that the demand for a part over time follows a predictable pattern, and that the patterns observed in historical data provide a reliable indication of future demands. Generally, forecasting studies focus on topics such as: the span of time from which to sample the historical data, an assessment of data in order to find weekly or annual patterns, and the assignment of probabilities of different demand quantities in any given time period. Using the demand models derived from these forecasting methods, inventory decisions are made--decisions which directly impact operating cost and equipment availability. Like most general part demand forecasting methods, aircraft spare part demand forecasting considers historical trends in order to predict future demand. It is a well-known practical observation that aircraft spare part demands are often very erratic (quantity variability), intermittent (variable in timing), and otherwise unpredictable. However, contemporary science does not explain the causes of these variations, and suffers from very poor forecasting accuracy. The objective of this research is to study the likely causes of the variations in demand quantity and from that understanding to develop forecasting methods which are more appropriate for the wearout characteristics and high reliability of many aircraft parts. As a first look at the problem, models of part failure are developed. These models are used to simulate multiple simultaneous parts operating identically. The simulations found that aircraft spare parts demands tend to be lumpy, and that this lumpiness tends to consist of two parts: a random element (called noise), and a cyclic element (called signal). These simulation results are compared to existing aircraft spare parts demand data, and similar lumpy characteristics are identified. The research then more deeply understands these elements of spare part demand lumpiness by developing equations explaining this lumpiness. These equations find that the same factors (quantity of parts operating simultaneously and reliability of those parts) both impact the average demand interval and the demand coefficients of variance, and that they impact these demand characteristics so similarly that demand lumpiness should be expected. Having determined that lumpiness is to be expected, the research proceeds to find forecasting methods that best account for this lumpiness. It is theorized that no one forecasting method would best account for signal lumpiness, noise lumpiness, and smooth demands; thus, the study develops a heuristic to select the best forecasting method based upon key part characteristics (reliability and quantity). The forecasting heuristic development uses Monte Carlo simulations to find ranges of part characteristics for which certain forecasting methods and parameters are most likely to provide the lowest error forecasts. Developing this forecasting method selection heuristic uncovers additional new and unique information, as follows: - The best error in many cases is 100% error, showing the need to move beyond forecasting for inventory management of many parts. - The forecasting error computation method used by the forecasting professional strongly influences the selection of the best forecasting method. - Certain elementary forecasting methods (e.g. naive or always zero) produce lower errors than any complex methods in some aircraft parts management conditions. - The selection of forecasting method parameters is as important as the selection of forecasting methods. This dissertation makes an important and unique contribution to the science of aircraft spare parts forecasting in creating a method to develop heuristics to select the lowest error forecasting methods. However, this dissertation makes a simultaneously important contribution in developing the inherent limits of forecasting ..