Intuitionistic fuzzy multi-objective milk-run modelling under time window constraints


ÇAKIR E., Ulukan Z., Kahraman C., Saglam C. O., Pak B. K., Pekcan B.

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, vol.42, no.1, pp.47-62, 2022 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 42 Issue: 1
  • Publication Date: 2022
  • Doi Number: 10.3233/jifs-219174
  • Journal Name: JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aerospace Database, Applied Science & Technology Source, Business Source Elite, Business Source Premier, Communication Abstracts, Compendex, Computer & Applied Sciences, INSPEC, Metadex, zbMATH, Civil Engineering Abstracts
  • Page Numbers: pp.47-62
  • Keywords: Ordinary fuzzy set, intuitionistic fuzzy set, fuzzy multi-objective programming, milk-run, time window constraint, logistic network, VEHICLE-ROUTING PROBLEM, ALGORITHM, HYBRID, PICKUP
  • Istanbul Technical University Affiliated: Yes

Abstract

Milk-run is a delivery method allowing to move small quantities of a large number of different items with predictable lead times from various suppliers to a customer. The main goal is to minimize the transportation cost by minimizing the travel distance and by maximizing vehicle capacities. The effects of uncertainties in arrival times of vehicles and loading times of shipments should also be considered in modeling the milk-run problems. In this paper, a multi-objective linear programming model, an ordinary fuzzy multi-objective linear programming model and an intuitionistic fuzzy multi-objective linear programming model are proposed for the milk-run modeling under time window constraints. The proposed approaches are applied on the real-life data of Borusan Logistics which is one of the largest logistics firms in Turkey and the results are presented.