A multi-objective approach in expanding the pre-positioning warehouse networks in humanitarian logistics

Date

2021-01-01

Author

Yakici, Ertan
Karatas, Mumtaz
Duran, Serhan

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

268
views

0
downloads

In this study, we focus on the structure of the pre-positioning warehouse networks which have a great effect on the response to a disaster. We determine the pre-positioning warehouse network configuration of CARE International with a multi-objective approach using the recent decade data. In addition to the minimisation of the average response time of an item, we also consider the maximum response time and maximum water delivery time as additional objectives. After analysis of the non-dominated solutions, we conclude that CARE International should open a warehouse in Kenya and pre-position 39%-44% of all relief items other than tents to this location while starting to operate the Denmark warehouse instead of the Dubai warehouse. [Received: 20 March 2018; Revised: 12 September 2019; Accepted: 26 February 2020]

URI

https://hdl.handle.net/11511/89545

Journal

EUROPEAN JOURNAL OF INDUSTRIAL ENGINEERING

DOI

https://doi.org/10.1504/ejie.2021.113508

Collections

Department of Industrial Engineering, Article

Suggestions

OpenMETU
Core

A resource investment problem with time/resource trade-offs Colak, Erdem; Azizoğlu, Meral (Informa UK Limited, 2014-05-01) In this study, we consider a Resource Investment Problem with time/resource trade-offs in project networks. We assume that there is a single renewable resource and the processing requirement of an activity can be reduced by investing extra resources. Our aim is to minimize the maximum resource usage, hence, the total amount invested for the single resource, while meeting the pre-specified deadline. We formulate the problem as a mixed integer linear model and find optimal solutions for small-sized problem in...
A systematic study of probabilistic aggregation strategies in swarm robotic systems Soysal, Onur; Şahin, Erol; Department of Computer Engineering (2005) In this study, a systematic analysis of probabilistic aggregation strategies in swarm robotic systems is presented. A generic aggregation behavior is proposed as a combination of four basic behaviors: obstacle avoidance, approach, repel, and wait. The latter three basic behaviors are combined using a three-state finite state machine with two probabilistic transitions among them. Two different metrics were used to compare performance of strategies. Through systematic experiments, how the aggregation performa...
A Lagrangean relaxation based approach for the capacity allocation problem in flexible manufacturing systems ÖZPEYNİRCİ, SELİN; Azizoğlu, Meral (Informa UK Limited, 2010-05-01) This study considers the operation assignment and capacity allocation problem in flexible manufacturing systems. A set of operations is selected to be processed and assigned to the machines together with their required tools. The purchase or usage of the required tools incurs a cost. The machines have scarce time and tool magazine capacities. The objective is to maximize the total weight of the assigned operations minus the total tooling costs. We use Lagrangean relaxation approach to obtain upper and lower...
Using boolean- and fuzzy-logic-based methods to analyze multiple case study evidence in management research Oz, O (SAGE Publications, 2004-06-01) The case study method has been widely used as a research strategy in the management field. The issues of comparability and of generalizability when using this method, however, continue to raise profound challenges for researchers. Boolean- and fuzzy-logic-based methods offer a valuable basis for a contribution in this respect because they enable researchers to derive valid meaning from data and to introduce additional analytical rigor into case study research. Inspired by this opportunity, the present artic...
Effective feature reduction for link prediction in location-based social networks Bayrak, Ahmet Engin; Polat, Faruk (SAGE Publications, 2019-10-01) In this study, we investigated feature-based approaches for improving the link prediction performance for location-based social networks (LBSNs) and analysed their performances. We developed new features based on time, common friend detail and place category information of check-in data in order to make use of information in the data which cannot be utilised by the existing features from the literature. We proposed a feature selection method to determine a feature subset that enhances the prediction perform...

Citation Formats

E. Yakici, M. Karatas, and S. Duran, “A multi-objective approach in expanding the pre-positioning warehouse networks in humanitarian logistics,” EUROPEAN JOURNAL OF INDUSTRIAL ENGINEERING, pp. 67–102, 2021, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/89545.