Open AccessA distribution strategy using a two-step optimization to maximize blood services considering stochastic travel times
Author(s) -
Filscha Nurprihatin,
Refael Elnathan,
Ruth Elisa Rumawan,
Tasya Regina
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/650/1/012043
Subject(s) - economic shortage , distribution (mathematics) , blood supply , vehicle routing problem , blood units , service (business) , routing (electronic design automation) , computer science , operations management , operations research , blood transfusion , business , transport engineering , engineering , medicine , mathematics , marketing , surgery , computer network , mathematical analysis , linguistics , philosophy , government (linguistics)
The blood service is a health service that utilizes human blood as basic material with humanitarian purposes, not for commercial one. Indonesian hospital ability in blood transfusions is generally still low, especially in terms of blood supply adequacy. In fact, there are still some provinces that experience excess blood supply while many other provinces experience a shortage of blood supply. The Blood Bank in Jakarta has the highest excess blood supply. Therefore, the blood can be transferred evenly from one province to another nearby province. The aim of this paper is to determine the allocation and the route of blood distribution to achieve the minimum travel times. Some variations in travel time are difficult to predict, so we take into account the stochastic properties of them. The effectiveness of blood distribution is very dependent on the accuracy of the target number of beneficiaries and the accuracy of the number of blood bags received in distribution activities. Meanwhile, the efficiency of blood bag distribution is measured by distribution routes that are directly related to transportation costs. This study uses a two-step optimization model to reach optimality. The first step is utilizing the transportation model to make sure the destination points are only the fastest to arrive. The second step is making use of the capacitated vehicle routing problem to ensure the routing is global optimal. This model successfully creates better blood demand fulfillment while minimizing transportation cost.