IMPLEMENTATION OF FUZZY ANALYTICAL NETWORK PROCESS IN PRIORITIZING TRANSPORTATION PROBLEM
Author(s) -
Alina Cynthia Dewi,
Rini Indahwati,
Mohammad Rachman Waluyo
Publication year - 2020
Publication title -
journal of engineering and management in industrial system
Language(s) - English
Resource type - Journals
eISSN - 2477-6025
pISSN - 2338-3925
DOI - 10.21776/ub.jemis.2020.008.01.4
Subject(s) - process (computing) , fuzzy logic , computer science , operations research , risk analysis (engineering) , engineering , business , artificial intelligence , operating system
The main goal of this research is to help decision maker in prioritizing transportation problems. Although numerous criteria were identified, the critical problems of transportation is less investigated. In order to fill this gap, this study was carried out to prioritizing the critical problems of transportation. The approach developed in this study implements fuzzy ANP to determine the weight for transportation problem criteria and sub criteria. As a result, the highest rank sub criteria was identified, that is “Professionalism” (0.203), followed by “Personal vehicle preferences” (0.190) and “E-ticket” (0.145) . Although prioritize of transportation problems were identified, future research needed to develop the alternative strategy for developing transportation improvement strategies.
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