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About

About

Mahdi Homayouni is a Postdoc Researcher at the Laboratory of Artificial Intelligence and Decision Support ( LIAAD), INESC TEC, Porto, Portugal, since Feb 2017. He has been  an Assistant Professor at the Department of Industrial Engineering, Islamic Azad University, Lenjan Branch, Isfahan, Iran, since Feb 2011. 

Mahdi gained his PhD in Industrial and Systems Engineering, from Universiti Putra Malaysia in May 2012. He gained his MSc and BEng degrees in 2008 from Universiti Putra Malaysia, and 2003 from Najafabad Branch- Islamic Azad University- Iran, respectively. He was formerly the head of the Industrial Engineering Department at IAULn, and the director of the young researchers club, IAULn for 2013 to 2016. 

Https://scholar.google.com/citations?user=D0QT05YAAAAJ&hl=en

Https://www.researchgate.net/profile/Seyed_Mahdi_Homayouni?ev=hdr_xprf

Http://www.linkedin.com/profile/preview?locale=en_US&trk=prof-0-sb-preview-primary-button

Http://orcid.org/0000-0001-6833-9316

Interest
Topics
Details

Details

001
Publications

2018

Metaheuristics for Maritime Operations

Authors
Homayouni, SM; Fontes, DBMM;

Publication

Abstract

2016

Optimization of integrated scheduling of handling and storage operations at automated container terminals

Authors
Homayouni, SM; Tang, SH;

Publication
WMU Journal of Maritime Affairs

Abstract

2015

A Fuzzy Genetic Algorithm for Scheduling of Handling/Storage Equipment in Automated Container Terminals

Authors
Mahdi Homayouni, S; Hong Tang, S;

Publication
International Journal of Engineering and Technology

Abstract

2015

A Fuzzy Delphi-Analytical Hierarchy Process Approach for Ranking of Effective Material Selection Criteria

Authors
Kazemi, S; Homayouni, SM; Jahangiri, J;

Publication
ADVANCES IN MATERIALS SCIENCE AND ENGINEERING

Abstract
The ability to select the most appropriate materials for a given application is the fundamental challenge faced by a design engineer. The objective of any material selection procedure is to identify appropriate selection criteria and to obtain the most appropriate combination of criteria in conjunction with requirements. Hence, selection of material is a multicriteria decision making problem. This study investigates and evaluates critical material selection criteria in a priority framework using the fuzzy Delphi-analytical hierarchy process method to overcome all shortcomings from AHP and Delphi methods that are common in material selection problem. 75 of the most important criteria for material selection have been collected from the literature. These criteria have been questioned in automobile interior design firms in Iran for car dashboard design. This ranking method would help product designers to decide on appropriate materials in a consistent method. Results indicate that "general" criteria such as availability, quality, risk, and technology are the most important criteria from the viewpoint of Iranian car manufacturers. Other criteria such as financial, technical, social and environmental, and sensorial criteria are relatively important in subsequent ranks.

2014

Bonding Technologies in Manufacturing Engineering

Authors
Homayouni, SM; Vasili, MR; Hong, TS;

Publication
Comprehensive Materials Processing

Abstract