2015
DOI: 10.1016/j.tre.2015.05.007
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Age-based policy for blood transshipment during blood shortage

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Cited by 43 publications
(25 citation statements)
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“…Another study is due to Gunpinar and Centeno ( 2015 ) in which a stochastic programming model is proposed for the first time against the uncertainty inherent in the blood demand that minimizes the total cost, the absence of blood product, and the amount of idle blood product throughout a planning horizon. An inventory policy that reduces the amount of out-of-date products during the absence of blood product is proposed by Wang and Ma ( 2015 ). The age-related inventory policy of the developed product is analysed by several what-if scenarios and the sensitivity of various parameters are also analysed.…”
Section: Literature Surveymentioning
confidence: 99%
“…Another study is due to Gunpinar and Centeno ( 2015 ) in which a stochastic programming model is proposed for the first time against the uncertainty inherent in the blood demand that minimizes the total cost, the absence of blood product, and the amount of idle blood product throughout a planning horizon. An inventory policy that reduces the amount of out-of-date products during the absence of blood product is proposed by Wang and Ma ( 2015 ). The age-related inventory policy of the developed product is analysed by several what-if scenarios and the sensitivity of various parameters are also analysed.…”
Section: Literature Surveymentioning
confidence: 99%
“…As for transhipment, Wang and Ma [25] achieved an effective reduction in the blood system expiration rate by establishing a transport model based on inventory storage time. Dehghani and Abbasi [26] created a transport strategy based on the longest storage time for interhospital blood transportation to reduce inventory scrap cost.…”
Section: Blood Distribution and Schedulingmentioning
confidence: 99%
“…(2) e location of blood donation houses is fixed, and the blood donation houses are in charge of transporting blood to blood centres in phases. (3) Averages of both blood supply and demand are known in the affected area, and supply and demand within the research period both conform to Poisson distribution [25]. (4) A person can only donate one unit of blood (i.e., 200 ml of blood and referred to as 1U below) at a time.…”
Section: Model Assumptionsmentioning
confidence: 99%
“…Currently there is a growing research interest in the emergency blood supply problem, such as post-disaster location analysis of regional blood centers (Sahin et al 2007;Sharma et al 2017), robust design of emergency blood supply networks (Jabbarzadeh et al 2014), supply chain design for blood supply in disasters Fahimnia et al 2017;Fazli-Khalaf et al 2017;Khalilpourazari and Khamseh 2017;Samani et al 2018), and an age-based policy for blood transshipment during blood shortage (Wang and Ma 2015). But the emergency blood allocation problem in disaster relief operations has never been discussed.…”
Section: Literature Reviewmentioning
confidence: 99%