Spacecraft technology portfolio: Probabilistic modeling and implications for responsiveness and schedule slippage |
| |
Authors: | Gregory F. Dubos Joseph H. Saleh |
| |
Affiliation: | 1. Department of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong, China;2. School of Mathematics, Shandong University, Jinan 250100, China;1. Department of General Surgery, Atatürk Research and Training Hospital, Ankara, Turkey;2. Department of General Surgery, Y?ld?r?m Beyaz?t University Faculty of Medicine, Ankara, Turkey;3. Department of Pathology, Atatürk Research and Training Hospital, Ankara, Turkey;4. Department of Endocrinology, Atatürk Research and Training Hospital, Ankara, Turkey;5. Department of Pathology, Y?ld?r?m Beyaz?t University Faculty of Medicine, Ankara, Turkey;1. Tobacco Control Unit, Cardiovascular Research Center, Isfahan Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran;2. Isfahan Province Health Center, Isfahan University of Medical Sciences, Isfahan, Iran;3. Epidemiology Department, Shahid Beheshti University of Medical Sciences, Tehran, Iran;4. Cardiac Rehabilitation Research Center, Isfahan Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran;5. Cardiovascular Research Center, Isfahan Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran;1. Laboratoire de psychologie EA 3188, université de Bourgogne-Franche-Comté, 25000 Besançon, France;2. FM entreprise, 2, rue du Lac, 25660 Saône, France3;3. Laboratoire de psychologie sociale, université de Provence, 13621 Aix-en-Provence cedex 1, France |
| |
Abstract: | ![]() Addressing the challenges of Responsive Space and mitigating the risk of schedule slippage in space programs require a thorough understanding of the various factors driving the development schedule of a space system. The present work contributes theoretical and practical results in this direction. A spacecraft is here conceived of as a technology portfolio. The characteristics of this portfolio are defined as its size (e.g., number of instruments), the technology maturity of each instrument and the resulting Technology Readiness Level (TRL) heterogeneity, and their effects on the delivery schedule of a spacecraft are investigated. Following a brief overview of the concept of R&D portfolio and its relevance to spacecraft design, a probabilistic model of the Time-to-Delivery of a spacecraft is formulated, which includes the development, Integration and Testing, and Shipping phases. The Mean-Time-To-Delivery (MTTD) of the spacecraft is quantified based on the portfolio characteristics, and it is shown that the Mean-Time-To-Delivery (MTTD) of the spacecraft and its schedule risk are significantly impacted by decreasing TRL and increasing portfolio size. Finally, the utility implications of varying the portfolio characteristics are investigated, and “portfolio maps” are provided as guides to help system designers identify appropriate portfolio characteristics when operating in a calendar-based design environment (which is the paradigm shift that space responsiveness introduces). |
| |
Keywords: | |
本文献已被 ScienceDirect 等数据库收录! |
|