Estimation of aircraft component production cost using knowledge based engineering techniques

被引:15
作者
Zhao, Xiaojia [1 ]
Verhagen, Wim J. C. [1 ]
Curran, Richard [1 ]
机构
[1] Delft Univ Technol, NL-2629 HS Delft, Netherlands
关键词
Cost engineering; Cost analysis; Production cost; Knowledge Based Engineering (KBE); Design-cost integration; MATERIAL SELECTION; NEURAL-NETWORKS; DESIGN; SUPPORT; WEIGHT; ENVIRONMENT; DECISIONS; SYSTEM; TOOL;
D O I
10.1016/j.aei.2015.05.004
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A comprehensive method is presented to estimate aircraft component production costs using Knowledge Based Engineering (KBE) techniques. A suite of parametrical cost estimation blocks are treated as Cost Primitives (CPs), which contain attributes such as cost types, cost driving parameters, and cost estimation relationships. A CP is associated with a parameterized geometry and a set of specific design parameters including part/assembly types, materials and production methods. Production cost is estimated by aggregating the cost of different CPs within a tree structure integrating both product breakdown and cost breakdown structures. The cost analysis tool is integrated into a KBE application by building Capability Modules (CMs), which provide manufacturable geometric representations for cost estimation and can be used to summarize output reports for further optimization. Case studies concerning stiffened panels are carried out, verifying the accuracy of the cost estimation method and illustrating the applicability of this method together with the integrated KBE application for various aircraft components. The main contribution of this research is automating the cost integration in the design process to improve the fidelity, repeatability and traceability of cost analysis. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:616 / 632
页数:17
相关论文
共 67 条
[11]   Data mining: An overview from a database perspective [J].
Chen, MS ;
Han, JW ;
Yu, PS .
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 1996, 8 (06) :866-883
[12]  
Chlysafis K. A., 2009, INT J PROD RES, V47, P5977
[13]  
Choi J. W., 2005, J AIRCR, V42
[14]   A knowledge-based engineering tool to estimate cost and weight of composite aerospace structures at the conceptual stage of the design process [J].
Choi, Jin-Woo ;
Kelly, Don ;
Raju, John .
AIRCRAFT ENGINEERING AND AEROSPACE TECHNOLOGY, 2007, 79 (05) :459-468
[15]   Architecture of a knowledge based engineering system for weight and cost estimation for a composite airplane structures [J].
Choi, Jin-Woo .
EXPERT SYSTEMS WITH APPLICATIONS, 2009, 36 (08) :10828-10836
[16]   Aircraft cost modelling using the genetic causal technique within a systems engineering approach [J].
Curran, R. ;
Castagne, S. ;
Early, J. ;
Price, M. ;
Raghunathan, S. ;
Butterfield, J. ;
Gibson, A. .
AERONAUTICAL JOURNAL, 2007, 111 (1121) :409-420
[17]   Review of aerospace engineering cost modelling: The genetic causal approach [J].
Curran, R ;
Raghunathan, S ;
Price, M .
PROGRESS IN AEROSPACE SCIENCES, 2004, 40 (08) :487-534
[18]  
Dean Ting P.-K., 1999, Engineering Economist, V44, P303, DOI 10.1080/00137919908967526
[19]  
DONG Z, 1994, J ENG IND-T ASME, V116, P199, DOI 10.1115/1.2901931
[20]   Cost estimation during design step: Parametric method versus case based reasoning method [J].
Duverlie, P ;
Castelain, JM .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 1999, 15 (12) :895-906