An interactive multi-objective fuzzy linear programming model for hub location problems to minimise cost and delay time in a distribution network

Fahimeh Rahmanniyay, Jafar Razmi and Andrew J. Yu

International Journal of Logistics Systems and Management, 2020, vol. 37, issue 1, 79-105

Abstract: Hub location models are used to design a distribution network. Hubs are particular facilities that work as connecting, and dispatching points in distribution systems. This study presents a new multi-objective mixed-integer linear programming model for a multi-capacity p-hub median problem under uncertainty. Since delivery time is one of the essential factors considered in the design of a distribution network, the presented model aims to minimise the shipment and establishment cost, as well as delay time of a distribution network in a supply chain where demand, transportation time and establishment cost are uncertain. To cope with these uncertainties and the multiple objectives in the model, we applied an interactive fuzzy framework. Furthermore, the viability and effectiveness of the model and the framework are explored with a number of sensitivity and business analyses.

Keywords: supply chain; distribution network; hub location problem; HLP; multi-objective; fuzzy multi-objective linear programming; FMOLP; delay time; uncertainty; logistics. (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.inderscience.com/link.php?id=109649 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijlsma:v:37:y:2020:i:1:p:79-105

Access Statistics for this article

More articles in International Journal of Logistics Systems and Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().