Failure modes and criticality analysis of the preliminary design phase of the Mars Desert Research Station considering human factors

Oğuz, Elif
Clelland, David
This work presents an extension to the traditional FMECA (Failure Modes, Effects and Criticality Analysis) method to include the effects of human factors concerning accessibility/repairability, probability of contact and degree of contact. The authors refer to this extension to the traditional FMECA as the Human Design Approach (HDA). All data used in this study was collected during the stay of two of the authors at the Mars Desert Research Station (MDRS) in the Utah desert, USA. The MDRS is a laboratory for carrying out research in order to understand and investigate the difficulties of how to live and work on another planet. The results show that following the HDA can enhance the safety and reliability of the MDRS. There is still a significant amount of research required concerning reliability analysis of the space habitat in terms of the selection of optimum designs, the modification of systems, as well as access, inspection and maintenance strategies, human factors and environmental impacts. This preliminary study will assist the design engineers with the selection of an optimum configuration for space habitats and can be extended to any case where humans can influence function of an environment.


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Desirability functions (DFs) are commonly used in optimization of design parameters with multiple quality characteristic to obtain a good compromise among predicted response models obtained from experimental designs. Besides discussing multi-objective approaches for optimization of DFs, we present a brief review of literature about most commonly used Derringer and Suich type of DFs and others as well as their capabilities and limitations. Optimization of DFs of Derringer and Suich is a challenging problem. ...
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Variation is inherent to a process, and process management demands understanding the nature of variation in quantitative terms, for evaluation and prediction purposes. This understanding requires the identification of process indicators that build the system of variation. To utilize quantitative techniques to understand and improve a software process, more indicators are needed than in a manufacturing process. The need to identify the indicators of a software process and the lack of a generic approach to as...
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With the advances in measurement technologies, today products and processes may have hundreds of variables that can be monitored. As the number of variables to be monitored in a process increases, a cumbersome task is the design of control charts, especially when one needs to estimate unknown process parameters. In Phase-I control chart implementations, a set of samples that are ideally from an in-control process is formed by iteratively eliminating/retaining potentially out-of-control samples and this is t...
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Sürücü, Barış (Elsevier BV, 2009-02-01)
Control charts are widely used to monitor production processes in the manufacturing industry and are also useful for monitoring reliability. A method to monitor reliability has recently been proposed when the distributions of inter-failure times are exponential and Weibull with known parameters. This method has also been extended to monitor the cumulative time elapsed between a fixed number of failures for the exponential distribution. In this paper, we consider a three-parameter Weibull distribution to mod...
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Aminbakhsh, Saman; Gunduz, Murat; Sönmez, Rifat (Elsevier BV, 2013-09-01)
Introduction: The inherent and unique risks on construction projects quite often present key challenges to contractors. Health and safety risks are among the most significant risks in construction projects since the construction industry is characterized by a relatively high injury and death rate compared to other industries. In construction project management, safety risk assessment is an important step toward identifying potential hazards and evaluating the risks associated with the hazards. Adequate prio...
Citation Formats
E. Oğuz and D. Clelland, “Failure modes and criticality analysis of the preliminary design phase of the Mars Desert Research Station considering human factors,” RELIABILITY ENGINEERING & SYSTEM SAFETY, pp. 247–254, 2018, Accessed: 00, 2020. [Online]. Available: