Publication Cover
Transportation Letters
The International Journal of Transportation Research
Volume 11, 2019 - Issue 1
613
Views
27
CrossRef citations to date
0
Altmetric
Research Paper

Fuzzy capacitated location-routing problem with simultaneous pickup and delivery demands

&
Pages 1-19 | Published online: 06 Jan 2017
 

ABSTRACT

In this work, the fuzzy capacitated location-routing problem with simultaneous pickup and delivery demands (FCLRP-SPD) is considered. This problem is a more realistic case of the capacitated location-routing problem and belongs to the reverse logistics. In FCLRP-SPD, a set of customers with simultaneous pickup and delivery demands should be supplied by a fleet of vehicles that start and end their tours at a single depot. In addition, both pickup and delivery demands of customers are fuzzy variables. The objective function is minimizing the routing costs, fixed costs of establishing the depot(s), and employing the vehicles. To model the problem, a fuzzy chance-constrained programming model is designed based upon the fuzzy credibility theory. To solve the FCLRP-SPD, a greedy clustering method (GCM) is developed, which includes four iterative phases. To achieve the best value of two types of parameters of the model, named ‘vehicle indexes’ and ‘depots indexes’, and to analyze their influences on the final solution, numerical experiments are carried out. Moreover, the efficiency of the GCM is demonstrated using a standard benchmark set of test problems.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 273.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.