Abstract
Despite the advances achieved in Medical Sciences, no substitute has been found for blood as a vital factor. Therefore, preparing sufficient and healthy blood in crisis conditions is a challenge that health systems encounter. Along with examining the conducted investigations in this field, the main contribution of current research is to develop a biobjective Mixed-Integer Linear Programming (MILP) model for relief supply under crisis condition. For this purpose, this paper proposes a model for routing of bus blood receiver under crisis conditions considering different blood groups. Besides, hours of unnecessary travel by bloodmobiles (buses) between each blood station (BS) and the crisis-stricken city for dispatching the collected blood is prevented thanks to considering a helicopter. The mentioned model has two objectives: maximizing the amount of blood collected by bloodmobiles and minimizing the arrival time of the blood receiver buses and a helicopter to a crisis-stricken city after the collected blood is used up. The model is coded by CPLEX software, and the results obtained from solving the model indicate that, without considering a helicopter, the demand is not supplied within the critical period after crisis. Given that blood cannot be artificially produced, its primary resource is blood donors. Concerning the importance of this issue under crisis conditions, this research investigates the relief vehicles’ routing problem, including bus and helicopter, in a crisis considering supply and transfer of different blood groups to a crisis-stricken city for maximum relief supply and blood transfer within the shortest period.
Highlights
Today, supply chain network design has been a demanding question and attracted great interest in a wide range of fields, such as medical industry. e important aspect of the entire discipline of the medical industry is the concept of blood management which recently brought striking attention among managers and decision-makers [1]
Concerning the importance of the issue at the time of a crisis, to provide relief operations and transfer maximum blood level during a shorter period to a crisis-stricken city, this study has provided a routing problem for relief vehicles, including a number of buses and a helicopter. erefore, the main contribution of current research is to develop a biobjective Mixed-Integer Linear Programming (MILP) model for relief supply under crisis condition
The MILP problem is examined at the time of a crisis strike by considering the supply and transportation of various kinds of blood types to a crisis-stricken city
Summary
Supply chain network design has been a demanding question and attracted great interest in a wide range of fields, such as medical industry. e important aspect of the entire discipline of the medical industry is the concept of blood management which recently brought striking attention among managers and decision-makers [1]. Supply chain network design has been a demanding question and attracted great interest in a wide range of fields, such as medical industry. E important aspect of the entire discipline of the medical industry is the concept of blood management which recently brought striking attention among managers and decision-makers [1]. Blood transfusion is one of the most vital medical actions and interventions. Since blood cannot artificially be produced, the only blood resource is blood donors. It is reported that the demand for blood is 92 million units per year worldwide, while regular blood donors merely account for 5% of the world population [2]. The blood network consists of main centers, temporary facilities, bloodmobiles, and laboratory centers
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