Dear users,
This is our new website
(we are launching the new one in order to improve our communication and provide better services to the editors and authors. So we will upload all data soon).
Please click here to visit our current website, and also to submit your paper: www.ijsom.com
Thanks for your patience during relocation.
Feel free to contact us via info@ijsom.comand ijsom.info@gmail.com
1- School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran 2- Department of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran , amalnick@ut.ac.ir 3- Department of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
Abstract: (4147 Views)
Material selection is a challenging issue in manufacturing processes while the inappropriate selected material may lead to fail the manufacturing process or end user experience especially in high-tech industries such as aircraft and shipping. Every material has different quantitative and qualitative criteria which should be considered simultaneously when assessing and selecting the right material. A weighted linear optimization method (WLOM) in the class of data envelopment analysis which exists in literature is adopted to address material selection problem while accounting for both qualitative and quantitative criteria. However, it is demonstrated the adopted WLOM method is not able to produce a full ranking vector for the material selection problems borrowed from the literature. Thus, an augmented common weight data envelopment analysis model (ACWDEA) is developed in this paper with the aim of eliminating deficiencies of WLOM model. The proposed ACWDEA is able to produce full ranking vector in decision making problems with less computational complexities in superior to the WLOM. Two material selection problems are solved and results are compared with WLOM and previous methods. Finally, the robustness and effectiveness of the proposed ACWDEA method are evaluated through Spearman’s correlation tests.
Shokr I, Sadegh Amalnick M, Torabi S A. An Augmented Common Weight Data Envelopment Analysis for Material Selection in High-tech Industries. Journal title 2016; 3 (2) :1234-1252 URL: http://system.khu.ac.ir/ijsom/article-1-2671-en.html