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Growing Science » International Journal of Industrial Engineering Computations » Solving a bi-objective mathematical programming model for bloodmobiles location routing problem

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International Journal of Industrial Engineering Computations

ISSN 1923-2934 (Online) - ISSN 1923-2926 (Print)
Quarterly Publication
Volume 8 Issue 1 pp. 19-32 , 2017

Solving a bi-objective mathematical programming model for bloodmobiles location routing problem Pages 19-32 Right click to download the paper Download PDF

Authors: Masoud Rabbani, Mohsen Aghabegloo, Hamed Farrokhi-Asl

DOI: 10.5267/j.ijiec.2016.7.005

Keywords: Vehicle routing problem, Bloodmobiles, Simulated annealing, Fuzzy multi objective programming

Abstract: Perishability of platelets, uncertainty of donors’ arrival and conflicting views in platelet supply chain have made platelet supply chain planning a problematic issue. In this paper, mobile blood collection system for platelet production is investigated. Two mathematical models are presented to cover the bloodmobile collection planning problem. The first model is a multi-objective fuzzy mathematical programming in which the bloodmobiles locations are considered with the aim of maximizing potential amount of blood collection and minimizing the operational cost. The second model is a vehicle routing problem with time windows which studies the shuttles routing problem. To tackle the first model, it is reformulated as a crisp multi objective linear programming model and then solved through a fuzzy multi objective programming approach. Several sensitivity analysis are conducted on important parameters to demonstrate the applicability of the proposed model. The proposed model is then solved by using a tailored Simulated Annealing (SA) algorithm. The numerical results demonstrate promising efficiency of the proposed solution method.

How to cite this paper
Rabbani, M., Aghabegloo, M & Farrokhi-Asl, H. (2017). Solving a bi-objective mathematical programming model for bloodmobiles location routing problem.International Journal of Industrial Engineering Computations , 8(1), 19-32.

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Journal: International Journal of Industrial Engineering Computations | Year: 2017 | Volume: 8 | Issue: 1 | Views: 3355 | Reviews: 0

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