TY - JOUR
T1 - Evaluation of engineering asset acquisitions in EAM based on DEA
AU - Liu, Wei
AU - Chang, Wen Bing
AU - Zhou, Sheng Han
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - This paper focuses on the process of acquisition of the engineering asset life cycle management and uses DEA (Data Envelopment Analysis) Model to evaluate the alternatives (decision making units, DMU). Firstly, based on the principles of the fuzzy clustering and rough set, we give an introduction to the object-weight-constrained DEA model. Then, Given the life cycle cost and taking the civil aircraft as an example, we take the cost of the acquisition, the cost of operation and maintenance, the cost of retirement disposal as the input variables and main performance parameters of the civil aircraft which include Wind Loading and Thrust-to-weight Ratio as the output variables, then, with the DEA linear programming and the use of LINGO, we can easily get the efficient DMUs and provide optimization suggestions for the inefficient DMUs. Also, we can get the scale benefit and technology availability of the DMUs respectively. Finally, we analyse the results and get the conclusion that the results meet the fact in the airlines.
AB - This paper focuses on the process of acquisition of the engineering asset life cycle management and uses DEA (Data Envelopment Analysis) Model to evaluate the alternatives (decision making units, DMU). Firstly, based on the principles of the fuzzy clustering and rough set, we give an introduction to the object-weight-constrained DEA model. Then, Given the life cycle cost and taking the civil aircraft as an example, we take the cost of the acquisition, the cost of operation and maintenance, the cost of retirement disposal as the input variables and main performance parameters of the civil aircraft which include Wind Loading and Thrust-to-weight Ratio as the output variables, then, with the DEA linear programming and the use of LINGO, we can easily get the efficient DMUs and provide optimization suggestions for the inefficient DMUs. Also, we can get the scale benefit and technology availability of the DMUs respectively. Finally, we analyse the results and get the conclusion that the results meet the fact in the airlines.
UR - https://www.scopus.com/pages/publications/84951128357
U2 - 10.1007/978-3-319-09507-3_64
DO - 10.1007/978-3-319-09507-3_64
M3 - 文章
AN - SCOPUS:84951128357
SN - 2195-4356
VL - 19
SP - 739
EP - 745
JO - Lecture Notes in Mechanical Engineering
JF - Lecture Notes in Mechanical Engineering
ER -