A hybrid decomposed fuzzy multi-criteria decision-making model for optimizing parcel lockers location in the last-mile delivery landscape

Moslem S., Gündoğdu F. K., Saylam S., Pilla F.

Applied Soft Computing, vol.154, 2024 (SCI-Expanded, Scopus) identifier

  • Nəşrin Növü: Article / Article
  • Cild: 154
  • Nəşr tarixi: 2024
  • Doi nömrəsi: 10.1016/j.asoc.2024.111321
  • jurnalın adı: Applied Soft Computing
  • Jurnalın baxıldığı indekslər: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Applied Science & Technology Source, Compendex, Computer & Applied Sciences, INSPEC
  • Açar sözlər: Analytical hierarchy process, Combinative distance based assessment, Decomposed fuzzy sets, Fuzzy sets, Parcel locker location
  • Açıq Arxiv Kolleksiyası: Məqalə
  • Adres: Yox

Qısa məlumat

Parcel lockers are considered an effective solution to address inefficiencies in last mile delivery. However, choosing the appropriate location is crucial to provide optimal service and improve logistic performance. Therefore, this research aims to assess the most suitable locations for parcel lockers in Dublin, the capital of Ireland, using a novel hybrid decision-making model. This study seeks to extend the Combinative Distance based Assessment method and integrate the Analytical Hierarchy Process method to handle parcel locker location evaluation problems through Decomposed Fuzzy Sets. The proposed model is a pioneering application in real-life scenarios, contributing to the existing knowledge in this field. The integrated model we propose offers a suitable approach for selecting parcel locker locations. The outcomes of this study will provide valuable insights for policymakers, aiding them in making strategic decisions regarding the selection of parcel locker locations within Dublin city.