Multi-phase composite analytical model for integrated allocation-routing problem – application of blood bank logistics

P. Sivakumar, K. Ganesh and P. Parthiban

International Journal of Logistics Economics and Globalisation, 2008, vol. 1, issue 3/4, 251-281

Abstract: The integrated problem of allocating and routing blood for a public and private health care system is addressed. We modelled the problem as multiple-vehicle, multi-depot, multi-criteria allocation-routing problem which is termed as integrated allocation-routing (IAR) problem. We propose a three-phase composite analytical model (CAM) to solve IAR problem for public sector blood banks and five-phase CAM for private sector blood banks. Models are developed based on the integration of analytic hierarchy process and mixed-integer linear programming model. Quality of both models is evaluated on randomly generated datasets and a real-life case study.

Keywords: AHP; analytical hierarchy process; public sector blood banks; private sector blood banks; logistics; IAR; integrated allocation routing problem; MILP; mixed integer linear programming model; healthcare systems; composite analytical models. (search for similar items in EconPapers)
Date: 2008
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