Life Cycle Cost Modeling for Aircraft Wing Using Object-Oriented Systems Engineering Approach

Author(s):  
Yuchun Xu ◽  
Jian Wang ◽  
Xincai Tan ◽  
Juliana Early ◽  
Ricky Curran ◽  
...  
2007 ◽  
Vol 111 (1121) ◽  
pp. 409-420 ◽  
Author(s):  
R. Curran ◽  
S. Castagne ◽  
J. Early ◽  
M. Price ◽  
S. Raghunathan ◽  
...  

Abstract The paper is primarily concerned with the modelling of aircraft manufacturing cost. The aim is to establish an integrated life cycle balanced design process through a systems engineering approach to interdisciplinary analysis and control. The cost modelling is achieved using the genetic causal approach that enforces product family categorisation and the subsequent generation of causal relationships between deterministic cost components and their design source. This utilises causal parametric cost drivers and the definition of the physical architecture from the Work Breakdown Structure (WBS) to identify product families. The paper presents applications to the overall aircraft design with a particular focus on the fuselage as a subsystem of the aircraft, including fuselage panels and localised detail, as well as engine nacelles. The higher level application to aircraft requirements and functional analysis is investigated and verified relative to life cycle design issues for the relationship between acquisition cost and Direct Operational Cost (DOC), for a range of both metal and composite subsystems. Maintenance is considered in some detail as an important contributor to DOC and life cycle cost. The lower level application to aircraft physical architecture is investigated and verified for the WBS of an engine nacelle, including a sequential build stage investigation of the materials, fabrication and assembly costs. The studies are then extended by investigating the acquisition cost of aircraft fuselages, including the recurring unit cost and the non-recurring design cost of the airframe sub-system. The systems costing methodology is facilitated by the genetic causal cost modeling technique as the latter is highly generic, interdisciplinary, flexible, multilevel and recursive in nature, and can be applied at the various analysis levels required of systems engineering. Therefore, the main contribution of paper is a methodology for applying systems engineering costing, supported by the genetic causal cost modeling approach, whether at a requirements, functional or physical level.


1990 ◽  
Vol 33 (9) ◽  
pp. 142-159 ◽  
Author(s):  
Brian Henderson-Sellers ◽  
Julian M. Edwards

Symmetry ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 226
Author(s):  
Xuyang Zhao ◽  
Cisheng Wu ◽  
Duanyong Liu

Within the context of the large-scale application of industrial robots, methods of analyzing the life-cycle cost (LCC) of industrial robot production have shown considerable developments, but there remains a lack of methods that allow for the examination of robot substitution. Taking inspiration from the symmetry philosophy in manufacturing systems engineering, this article further establishes a comparative LCC analysis model to compare the LCC of the industrial robot production with traditional production at the same time. This model introduces intangible costs (covering idle loss, efficiency loss and defect loss) to supplement the actual costs and comprehensively uses various methods for cost allocation and variable estimation to conduct total cost and the cost efficiency analysis, together with hierarchical decomposition and dynamic comparison. To demonstrate the model, an investigation of a Chinese automobile manufacturer is provided to compare the LCC of welding robot production with that of manual welding production; methods of case analysis and simulation are combined, and a thorough comparison is done with related existing works to show the validity of this framework. In accordance with this study, a simple template is developed to support the decision-making analysis of the application and cost management of industrial robots. In addition, the case analysis and simulations can provide references for enterprises in emerging markets in relation to robot substitution.


2012 ◽  
Vol 24 (4) ◽  
pp. 3-17 ◽  
Author(s):  
Sang M. Lee ◽  
Alfred E. Thal ◽  
Eric J. Unger ◽  
Edward D. White

Author(s):  
Shantanu Gadre ◽  
Marcos Esterman ◽  
Brian K. Thorn

Given that a significant percentage of a product’s impacts are defined during design and development, there is a need to effectively integrate Life Cycle Assessment (LCA) into these early phases. However, the lack of standardized practices, the lack of appropriate modeling approaches, data issues, special training requirements for designers, and uncertainties in the results make it difficult to apply LCA in these early stages. In order to address this gap, this work builds on previous research that integrated system engineering and functional analysis into LCA to develop an object-oriented framework for LCA. The framework is applied to a consumer product and the results of the approach demonstrate the potential for an easy to update and scalable LCA model that facilitates comparability. Each module in this model can be developed separately and integrated effectively into a larger model guided by functional analysis techniques. This framework holds the promise to better integrate LCA into the design and development phases.


Author(s):  
Peter Fettke

Mature engineering disciplines are generally characterized by accepted methodical standards for describing all relevant artifacts of their subject matter. Such standards not only enable practitioners to collaborate, but they also contribute to the development of the whole discipline. In 1994, Grady Booch, Jim Rumbaugh, and Ivar Jacobson joined together to unify the plethora of existing object-oriented systems engineering approaches at semantic and notation level (Booch, 2002; Fowler, 2004; Rumbaugh, Jacobson, & Booch, 1998). Their effort led to the Unified Modeling Language (UML), a well-known, general-purpose, tool-supported, process-independent, and industry-standardized modeling language for visualizing, describing, specifying, and documenting systems artifacts. Table 1 depicts the origin and descent of UML.


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