Blood Bank Inventories

Rc, Elston

doi:10.3109/10408367009027957

Cited by 13 publications

(4 citation statements)

References 25 publications

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“…An extensive survey of literature on managing inventory of perishable items can be found in Nahmias (1982), Raafat (1991), Goyal and Giri (2001), Karaesmen et al (2011), andBakker et al (2012). A more specific review on the management of blood inventory is presented in Elston and Pickerel (1970), Prastacos (1984), Beliën and Forcé (2012), and Ravichandran (2014, 2015). Based on the review of literature, one can classify the ordering policies for perishables into two major categories: periodic review and continuous review policies.…”

Section: Literature Reviewmentioning

confidence: 99%

“…(2012). A more specific review on the management of blood inventory is presented in Elston and Pickerel (), Prastacos (), Beliën and Forcé (), and Lowalekar and Ravichandran (2014, ). Based on the review of literature, one can classify the ordering policies for perishables into two major categories: periodic review and continuous review policies.…”

Section: Literature Reviewmentioning

confidence: 99%

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A combined age‐and‐stock‐based policy for ordering blood units in hospital blood banks

Lowalekar

Ravichandran

2015

Int Trans Operational Res

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This paper analyses the performance of an ordering policy for hospital blood banks (HBBs) that takes into account the information regarding the on‐hand stock along with the remaining life of blood products. The blood items are assumed to start aging as soon as they have been collected. We develop a simulation model to show that the combined age‐and‐stock‐based policy would outperform some of the popular periodic reviews and continuous review policies in controlling total costs by about 5% on an average basis. Our results show that the suggested policy will reduce the total operational cost of managing platelets, which have a very short shelf life, by about 27% at a real‐life HBB. The policy will also lead to about 7% reduction in the total cost of the negative blood groups, which are characterized by extremely erratic demand patterns. The implementation of the ordering policy will help HBBs to reduce their operational costs while ensuring a minimum desirable level of the availability of critical blood products.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

A combined age‐and‐stock‐based policy for ordering blood units in hospital blood banks

Lowalekar

Ravichandran

2015

Int Trans Operational Res

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“…The blood bank director was impressed with that finding purely by statistical analysis. I ended up writing several other papers on the blood bank project (Elston and Pickrel, 1965;Elston, 1966Elston, , 1968Elston, , 1970.…”

Section: From Cornell To University Of North Carolina At Chapel Hill ...mentioning

confidence: 99%

A Conversation with Robert C. Elston

Zheng¹,

Li²,

Geller³

2015

Statist. Sci.

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Robert C. Elston was born on February 4, 1932, in London, England. He went to Cambridge University to study natural science from 1952-1956 and obtained B.A., M.A. and Diploma in Agriculture (Dip Ag). He came to the US at age 24 to study animal breeding at Cornell University and received his Ph.D. in 1959. From 1959-1960, he was a post-doctoral fellow in biostatistics at University of North Carolina (UNC), Chapel Hill, where he studied mathematical statistics. He then rose through the academic ranks in the department of biostatistics at UNC, becoming a full professor in 1969. From 1979-1995, he was a professor and head of the Department of Biometry and Genetics at Louisiana State University Medical Center in New Orleans. In 1995, he moved to Case Western Reserve University where he is a professor of epidemiology and biostatistics and served as chairman from 2008 to 2014. Between 1966 and 2013, he directed 42 Ph.D. students and mentored over 40 post-doctoral fellows. If one regards him as a founder of a pedigree in research in genetic epidemiology, it was estimated in 2007 that there were more than 500 progeny. Among his many honors are a NIH Research Career Development Award (1966-1976), the Leadership Award from International Society of Human Genetics (1995), William Allan Award from American Society of Human Genetics (1996), NIH MERIT Award (1998) and the Marvin Zelen Leadership Award, Harvard University (2004). He is a Fellow of the American Statistical Association and the Institute of Mathematical Statistics as well as a Fellow of the Ohio Academy of Science. A leader in research in genetic epidemiology for over 40 years, he has published over 600 research articles in biostatistics, genetic epidemiology and applications. He has also coauthored and edited 9 books in biostatistics, population genetics and methods for the analysis of genetic data.Comment: Published at http://dx.doi.org/10.1214/14-STS497 in the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org

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“…Perishable-inventory problems are common in the food and the health-care industries. An often-cited example is a blood bank's inventory problem [Elston 1970;Jennings 1973;and Prastacos 1984], where the law mandating the useful lifetime of blood, because of its perishable nature, has a major impact on optimal inventory policies. In situations that blood banks and food producers encounter, the product degrades over time or has a fixed life and therefore any inventory-management system must track different-aged inventory.…”

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confidence: 99%

Jeppesen Uses a Dynamic-Programming-Based DSS to Manage Inventory

Katok

Lathrop

Tarantino³

et al. 2001

Interfaces

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We developed a system for managing inventory at Jeppesen Sanderson, Inc., a major provider of aviation-information products. The system determines order quantities for charts used in flight manuals. These charts contain essential safety information that changes frequently, making standard methods for inventory management ineffective. We formulated the problem as a dynamic programming model and developed a simple heuristic-solution procedure for determining order quantities. Based on this procedure, we also developed a decision support system (DSS) and implemented it for 600 of the most expensive Jeppesen charts. The system has been in use since August 1998, generating actual annual cost reductions of over $800,000.

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Blood Bank Inventories

Cited by 13 publications

References 25 publications

A combined age‐and‐stock‐based policy for ordering blood units in hospital blood banks

A combined age‐and‐stock‐based policy for ordering blood units in hospital blood banks

A Conversation with Robert C. Elston

Jeppesen Uses a Dynamic-Programming-Based DSS to Manage Inventory

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