@article{(Open Science Index):https://publications.waset.org/pdf/10012035,
	  title     = {Using Analytical Hierarchy Process and TOPSIS Approaches in Designing a Finite Element Analysis Automation Program},
	  author    = {Ming Wen and  Nasim Nezamoddini},
	  country	= {},
	  institution	= {},
	  abstract     = {Sophisticated numerical simulations like finite element analysis (FEA) involve a complicated process from model setup to post-processing tasks that require replication of time-consuming steps. Utilizing FEA automation program simplifies the complexity of the involved steps while minimizing human errors in analysis set up, calculations, and results processing. One of the main challenges in designing FEA automation programs is to identify user requirements and link them to possible design alternatives. This paper presents a decision-making framework to design a Python based FEA automation program for modal analysis, frequency response analysis, and random vibration fatigue (RVF) analysis procedures. Analytical hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS) are applied to evaluate design alternatives considering the feedback received from experts and program users.
},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {15},
	  number    = {5},
	  year      = {2021},
	  pages     = {305 - 313},
	  ee        = {https://publications.waset.org/pdf/10012035},
	  url   	= {https://publications.waset.org/vol/173},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 173, 2021},
	}