2019
DOI: 10.24874/ijqr13.03-07
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A Model for Designing a Blood Supply Chain Network to Earthquake Disasters (Case Study: Tehran City)

Abstract: One of the most devastating events is earthquake. Along with planning for supply and the proper distribution of relief goods including food and cloths, one of the most vital issues is to relieve to injured people who are in need of blood. In this research, we design a blood supply chain when the earthquake takes place, should the need arises by people requesting the blood units. Based on this need, a multi-level multi-objective mathematical model is designed during several periods based on minimizing the cost … Show more

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Cited by 14 publications
(5 citation statements)
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References 11 publications
(17 reference statements)
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“…Efficient management of BCCs has been of interest to many researchers for a long time. Armaghan and Pazani (2019) developed an emergency supply network that could handle blood demands during critical situations. The authors developed a multi-level multi-objective mathematical model to decrease the cost of the blood supply chain network and maximise the reliability of the chosen blood transportation paths.…”
Section: Blockchain Applications In Supply Chain Traceabilitymentioning
confidence: 99%
“…Efficient management of BCCs has been of interest to many researchers for a long time. Armaghan and Pazani (2019) developed an emergency supply network that could handle blood demands during critical situations. The authors developed a multi-level multi-objective mathematical model to decrease the cost of the blood supply chain network and maximise the reliability of the chosen blood transportation paths.…”
Section: Blockchain Applications In Supply Chain Traceabilitymentioning
confidence: 99%
“…For example, Nagurney et al [21] proposed a model to minimize costs and risks by expressing the breakdown properties of blood as supply coefficients. Armaghan and Pazani [22] proposed a blood supply chain to handle urgent requests from blood units during the Iran earthquake. The authors build a multi-level, multi-objective model to find an optimal route based on the selected routes to transport blood.…”
Section: Related Workmentioning
confidence: 99%
“…The authors build a multi-level, multi-objective model to find an optimal route based on the selected routes to transport blood. The main contribution of [22] is to reduce the cost of the blood supply chain network and maximize reliability. In addition, Eskandari-Khanghahi et al [23] have developed a model that provides a combination of integer mixed linear programming while considering location, allocation, inventory, and distribution.…”
Section: Related Workmentioning
confidence: 99%
“…It also employs linear programming that considers location, allocation, and delivery of blood. The authors of [31] also proposed a supply chain solution to manage critical blood supply requests in crucial situations. Their model presented an algorithm to reduce the cost of operation for the blood supply chain.…”
Section: A Non-blockchain-based Solutionsmentioning
confidence: 99%