Evaluation and Selection of Coding Machines and Determination of Priorities in Urban Transportation Systems

Ramin Jahanshahi; Hamidreza  Motamedi; Hamid Goodarzi; Samad Khaledian; Omid Fanaei Niya; Mahdi Mirzaei

doi:10.63053/ijset.146

Authors

Ramin Jahanshahi 1. Bachelor of Civil Engineering, Bahonar University of Kerman and Master of Industrial Engineering, Engineering Management, Isfahan University of Technology.
Hamidreza Motamedi 2. Bachelor of Industrial Engineering and Master of Industrial Engineering majoring in Engineering Management
Hamid Goodarzi 3. Bachelor's, Master's and PhD in Civil Engineering Master's student in Industrial Engineering, Engineering Management
Samad Khaledian 4. Bachelor of industrial safety and industrial engineering in engineering management
Omid Fanaei Niya 5. Bachelor of Industrial Management and industrial engineering in Engineering Management
Mahdi Mirzaei 6. Bachelor of Industrial Engineering,Isfahan University of Technology Master of Industrial Engineering, Engineering Management , Isfahan University of Technology

DOI:

https://doi.org/10.63053/ijset.146

Keywords:

Multi-Criteria Decision-Making (MCDM) ؛Coding Machine Selection ؛Urban Transportation؛ Prioritization Using the Analytical Hierarchy Process (AHP) ؛Analytical Hierarchy Process

Abstract

In this study, in order to enhance and expand the application of the Analytic Hierarchy Process (AHP) in solving complex multi-criteria decision-making problems, two independent case studies that have been previously investigated using the AHP are combined and re-evaluated. The first study deals with the optimal selection of a coding machine based on technical and economic criteria, while the second study examines the prioritization of urban transportation options by considering different stakeholder perspectives. The main objective of this study is to demonstrate the flexibility and power of the AHP in integrating the results of separate studies and also to examine how the integration of these studies affects the finalization of decisions. In this regard, the mathematical modeling of the AHP is explained in detail and its solution method is presented in detail. Also, in order to assess the depth and accuracy of the initial studies, a literature review of both articles is presented separately on two pages. Finally, the results of combining these two studies will be discussed in a separate section, and a summary and general conclusion will be presented regarding the benefits of this combined approach.