Article: Selection process of emerging technologies using AHP-FMCGP mixed method: transportation industry of Iran Journal: International Journal of Applied Management Science (IJAMS) 2019 Vol.11 No.1 pp.55 - 71 Abstract: Transportation industry is one of the most worth background that needs to be developed and updated every time, especially with respect to emerging technologies. In this paper, we developed a mathematical model including hybrid method of MCDM and GP to rank and prioritise the best transport emerging technologies in the field of intelligent transport systems (ITS) and nanotechnologies. This model has been designed by considering a hierarchical structure including three levels with five factors like technical, economical, market, environmental and culture at the first level; three areas like vehicle, road and human in the second level and four identified emerging technologies from Iran's transport industry at the third level under sub-section of vehicle. The selection processes including ranking and prioritising have been performed considering three main goals. For successful completion of our research, we used the hybrid method of AHP and FMCGP in the transportation industry of Iran. Here, our proposed three-level model concentrated on future use of emerging technologies in the transportation system of Iran. After solving the proposed hybrid model, sleepy-driver sensors technology was the final priority. The findings can also lead to effective decision makings on investment on future emerging technologies in transportation system of Iran. Inderscience Publishers - linking academia, business and industry through research

Title: Selection process of emerging technologies using AHP-FMCGP mixed method: transportation industry of Iran

Authors: Jafar Bagherinejad; Paria Fakhrzad

Addresses: Department of Industrial Engineering, Alzahra University, Tehran, Iran ' Department of Industrial Engineering, Alzahra University, Tehran, Iran

Abstract: Transportation industry is one of the most worth background that needs to be developed and updated every time, especially with respect to emerging technologies. In this paper, we developed a mathematical model including hybrid method of MCDM and GP to rank and prioritise the best transport emerging technologies in the field of intelligent transport systems (ITS) and nanotechnologies. This model has been designed by considering a hierarchical structure including three levels with five factors like technical, economical, market, environmental and culture at the first level; three areas like vehicle, road and human in the second level and four identified emerging technologies from Iran's transport industry at the third level under sub-section of vehicle. The selection processes including ranking and prioritising have been performed considering three main goals. For successful completion of our research, we used the hybrid method of AHP and FMCGP in the transportation industry of Iran. Here, our proposed three-level model concentrated on future use of emerging technologies in the transportation system of Iran. After solving the proposed hybrid model, sleepy-driver sensors technology was the final priority. The findings can also lead to effective decision makings on investment on future emerging technologies in transportation system of Iran.

Keywords: emerging technology; transportation industry; analytical hierarchy process; AHP; fuzzy multi-choice goal programming; FMCGP; multi-criteria decision makings; MCDM; Iran.

DOI: 10.1504/IJAMS.2019.096651

International Journal of Applied Management Science, 2019 Vol.11 No.1, pp.55 - 71

Accepted: 02 Jan 2018
Published online: 07 Dec 2018 *

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Title: Selection process of emerging technologies using AHP-FMCGP mixed method: transportation industry of Iran

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