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.com and ijsom.info@gmail.com

   [Home ] [Archive]    
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
Main Menu
Home::
Journal Information::
Articles archive::
For Authors::
For Reviewers::
Registration::
Contact us::
Site Facilities::
::
Search in website

Advanced Search
..
Receive site information
Enter your Email in the following box to receive the site news and information.
..
Indexing Databases

AWT IMAGE
AWT IMAGE

AWT IMAGE

AWT IMAGE

AWT IMAGE

AWT IMAGE

AWT IMAGE

AWT IMAGE

AWT IMAGE

..
:: Search published articles ::
Showing 1 results for Torabi

Iman Shokr, Mohsen Sadegh Amalnick, Seyed Ali Torabi,
Volume 3, Issue 2 (8-2016)
Abstract

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.

Page 1 from 1     

International Journal of Supply and Operations Management International Journal of Supply and Operations Management
Persian site map - English site map - Created in 0.07 seconds with 29 queries by YEKTAWEB 4666