Evaluation of smart city logistics solutions with fuzzy MCDM methods


BÜYÜKÖZKAN FEYZİOĞLU G. , MUKUL E.

PAMUKKALE UNIVERSITY JOURNAL OF ENGINEERING SCIENCES-PAMUKKALE UNIVERSITESI MUHENDISLIK BILIMLERI DERGISI, cilt.25, ss.1033-1040, 2019 (ESCI İndekslerine Giren Dergi) identifier

  • Cilt numarası: 25 Konu: 9
  • Basım Tarihi: 2019
  • Doi Numarası: 10.5505/pajes.2019.32956
  • Dergi Adı: PAMUKKALE UNIVERSITY JOURNAL OF ENGINEERING SCIENCES-PAMUKKALE UNIVERSITESI MUHENDISLIK BILIMLERI DERGISI
  • Sayfa Sayıları: ss.1033-1040

Özet

City logistics, which started to examine as a subdivision of logistics, aims the planning and management of transportation, efficiency, protection of the environment, reduction of traffic, security, and energy-saving. Rapidly growing population and migration from rural to urban areas have an important place in many of the problems of cities. A smart city is an approach that has a significant potential to solve urban logistics problems with information technologies. "Smart city logistics solutions" such as full adaptive traffic management system, security, and emergency systems, electronic detection system, etc. present based on information technologies to meet the increasing demand for logistics services more efficiently, safely and environmentally. In this study, the evaluation of smart city logistics solutions that contain many components is considered as a multi-criteria decision-making (MCDM) problem. Given the complex nature of this problem and insufficient knowledge, the decision-making approach is supported by fuzzy logic. In this context, the smart city logistics solutions in Istanbul determined by literature review and expert opinions are modeled, analyzed, and the results are interpreted by using the House of Quality matrix of Quality Function Deployment (QFD) approach with fuzzy MCDM methods.