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Kan Ürünleri Tedarik Zinciri

Year 2023, , 56 - 60, 01.07.2023
https://doi.org/10.38175/phnx.1160700

Abstract

Günlük hayatta gerek tıbbi tedaviler veya cerrahi ameliyatların bir parçası olarak kan ürünleri nakli yapılmaktadır. Bu durum stok yönetiminin çok önemli olduğunu gösterir, zira ihtiyaç durumunda stokta istenen kan ürünü veya ürünleri yoksa hasta kaybedilebilir. Öte yandan kan toplamak sürekli bir çaba gerektiren bir eylemdir; bağışın gönüllü olduğu ülkelerde konfor, riskler, kolaylık ve erişilebilirlik gibi birçok faktör bağış kararını etkileyebilir. Ancak son yıllarda pandemi süreci nedeni ile dünyada olduğu gibi Türkiye’de de kan bağışları azalmıştır. Buna dış ülkelerden göçler de eklenince kanı tedarik etmek, kanı ürünlerine ayrıştırmak, depolamak ve hastalara zamanında ulaştırmak adına kan tedarik zinciri ve stok yönetimi her zamankinden daha da önemli hale gelmiştir. Kan tedarik zinciri, kan ve kan ürünlerinin donörden yani kan bağışında bulunan kişiden alıcıya yani kan ihtiyacı olan kişiye verilmesi, kan ürününü hastaya verilmeden önce özellikle bulaşıcı hastalıklar yönünden test edilmesi, ürünlerine ayrıştırmak için işlenmesi ve nihayetinde de ilgili hastane, sağlık merkezi, yoğun bakım üniteleri ve servislere dağıtılması süreçlerini içerir. Ancak koşullar ne olursa olsun kan talebini karşılamak için yeterli miktarda kan toplanması gerekir. Tedarik zinciri terminolojisinde arz ile talebin eşleştirilmesi, kan ve ürünlerinin toplanması, işlenmesi ve dağıtılması için iyi bir altyapıya ihtiyaç vardır. Kan tedarik zincirinin farklı konfigürasyonları, dünyanın farklı ülkelerindeki hastanelerde uygulanmakla birlikte amaç aynıdır yani kan ürünleri talebini minimum maliyet ve minimum israfla karşılamaktır. Bilim insanları farklı bakış açılarıyla konuyu ele almış bağış aşamasından hastaya nakil aşamasına kadar geçen süredeki her bir süreci iyileştirme adına değişik çalışmalar yürütmüşlerdir. Bu çalışmalardan en önemlileri sürecin simüle edilmesi ve tedarik zincirine yönelik yapılan araştırmalardır.

Supporting Institution

Yok

Project Number

yok

References

  • Belien J, Force H. Supply chain management of blood products: A literature review. European Journal of Operational Research. 2012; 217(1):1-16.
  • Veseli B, Sandner S, Studte S, Clement M. The impact of COVID-19 on blood donations. Plose One PLoS One. 2022;17(3):e0265171.
  • Haw J, Holloway K, Masser B, Merz EM, Thorpe R. Blood donation and the global COVID-19 pandemic: Areas for social science research. Vox Sang. 2021;116(4): 363–365.
  • COVID Surg Collaborative. Elective surgery cancellations due to the COVID-19 pandemic: Global predictive modelling to inform surgical recovery plans. Br J Surg. 2020;107(11): 1440–1449.
  • Thomas SA, Feng S, Krishnan TV. To retain? To upgrade? The effects of direct mail on regular donation behavior. Int J Res Mark. 2015;32(1): 48–63.
  • Katsaliaki K, Brailsford SC. Using Simulation to Improve the Blood Supply Chain. Operational Research for Emergency Planning in Healthcare. 2007(1): 353-372.
  • Nahmias S. Perishable Inventory Theory: A Review. Operations Research. 1982;30(4): 680–708.
  • Veinott AF. Optimal Policy for a Multi-Product, Dynamic, Nonstationary Inventory Problem. Management Science. 1965; 12(3): 151-315.
  • Jennings JB. Blood Bank Inventory Control. Management Science. 1973;19(6): 593-715.
  • Pierskalla WP, Roach CD. Optimal Issuing Policies for Perishable Inventory. Management Science. 1972;18(11): 603–614.
  • Brodheim E, Cyrus D, Gregory P. On the Evaluation of a Class of Inventory Policies for Perishable Products Such as Blood. Management Science. 1975; 21(11):1320–1325.
  • Pierskalla WP, Sassetti R, Cohen M, Deuermeyer B, Marritt R, Consolo J, et al. Regionalization of Blood Banking Services. In Executive Summary, edited by The Kendall KE, Lee SM. formulating Blood Rotation Policies with Multiple Objectives. Management Science. 1980; 26(11): 1145–1157.
  • Prastacos GP, Brodheim E. “PBDS: A Decision Support System for Regional Blood Management. Management Science. 1980;26(5): 451–463.
  • Omosigho SE. Determination of Outdate and Shortage Quantities in the Inventory Problem with Fixed Lifetime. International Journal of Computer Mathematics. 2002;79(11): 1169–1177.
  • Rytilä JS, Spens KM. Using Simulation to Increase Efficiency in Blood Supply Chains. Management Research News. 2006; 29(12); 801–819.
  • Erickson ML, Champion MH, Klein R, Ross RL, Neal ZM, Snyder EL. Management of Blood Shortages in a Tertiary Care Academic Medical Center: The Yale-new Haven Hospital Frozen Blood Reserve. Transfusion. 2008; 48(10): 2252–2263.
  • Ghandforoush P. Sen TK. A DSS to Manage Platelet Production Supply Chain for Regional Blood Centers. Decision Support Systems. 2010; 50(1): 32–42.
  • Zhou D, Lawrence CL, William P. Inventory Management of Platelets in Hospitals: Optimal Inventory Policy for Perishable Products with Regular and Optional Expedited Replenishments. Manufacturing & Service Operations Management. 2011;13 (4): 420–438.
  • Stanger SHW, Yates N, Wilding R, Cotton S. Blood Inventory Management: Hospital Best Practice. Transfusion Medicine Reviews. 2012; 26(2): 153–163.
  • Li YC, Liao HC. The Optimal Parameter Design for a Blood Supply Chain System by the Taguchi Method. International Journal of Innovative Computing Information and Control. 2012; 8(11): 7697–12.
  • Duan, Q, Liao TW. A New Age-based Replenishment Policy for Supply Chain Inventory Optimization of Highly Perishable Products. International Journal of Production Economics. 2013; 145(2): 658–671.
  • Elston RC, Pickrel JC. A Statistical Approach to Ordering and Usage Policies for a Hospital Blood Bank. Transfusion. 1963; 3(1): 41–47.
  • Cohen MA, Pierskalla WP. Target Inventory Levels for a Hospital Blood Bank or a Decentralized Regional Blood Banking System. Transfusion. 1979;19(4): 444-454.
  • Brennan JE, Golden BL, Rappoport JK. Go with the Flow: Improving Red Cross Bloodmobiles Using Simulation Analysis. Interfaces. 1992; 22(5):1-13.
  • Fontaine MJ, Yenho TC, Feryal E, Goodnough LT. Age of Blood as a Limitation for Transfusion: Potential Impact on Blood Inventory and Availability. Transfusion. 2010;50(10): 2233–2239.
  • Wevers A, Wigboldus DHJ, Kort WLAM, van Baaren R, Veldhuizen IJT. Characteristics of donors who do or do not return to give blood and barriers to their return. Blood Transfus. 2014; 12(Suppl 1): 37–43.

Blood Products Supply Chain

Year 2023, , 56 - 60, 01.07.2023
https://doi.org/10.38175/phnx.1160700

Abstract

In daily life, blood products are transfused as part of medical treatments or surgical operations. This shows that stock management is very important, in case of need, if the desired blood product or products are not in the stock, the patient may be lost. On the other hand, collecting blood is an action that requires constant effort; in countries where donation is voluntary, many factors such as comfort, risks, convenience and accessibility can affect the donation decision. However, due to the pandemic process in recent years, blood donations have decreased in Turkey as well as in the world. When immigration from foreign countries is added to this, blood supply chain and stock management has become more important than ever in order to procure blood, separate it into its products, store it and deliver it to patients on time. The blood supply chain consists of giving blood and blood products from the donor to the recipient, that is, the person in need of blood, testing the blood product especially for infectious diseases before giving it to the patient, processing it to separate it into its products, and finally the relevant hospital, health center, intensive care units and distribution to services. However, whatever the circumstances, sufficient blood must be collected to meet the blood demand. In supply chain terminology, a good infrastructure is needed to match supply and demand, and to collect, process and distribute blood and its products. Although different configurations of the blood supply chain are implemented in hospitals in different countries of the world, the aim is the same, that is, to meet the demand for blood products with minimum cost and minimum waste. Scientists have dealt with the issue from different perspectives and carried out different studies in order to improve each process from the donation stage to the transfer stage to the patient. The most important of these studies are the simulation of the process and the researches on the supply chain.

Project Number

yok

References

  • Belien J, Force H. Supply chain management of blood products: A literature review. European Journal of Operational Research. 2012; 217(1):1-16.
  • Veseli B, Sandner S, Studte S, Clement M. The impact of COVID-19 on blood donations. Plose One PLoS One. 2022;17(3):e0265171.
  • Haw J, Holloway K, Masser B, Merz EM, Thorpe R. Blood donation and the global COVID-19 pandemic: Areas for social science research. Vox Sang. 2021;116(4): 363–365.
  • COVID Surg Collaborative. Elective surgery cancellations due to the COVID-19 pandemic: Global predictive modelling to inform surgical recovery plans. Br J Surg. 2020;107(11): 1440–1449.
  • Thomas SA, Feng S, Krishnan TV. To retain? To upgrade? The effects of direct mail on regular donation behavior. Int J Res Mark. 2015;32(1): 48–63.
  • Katsaliaki K, Brailsford SC. Using Simulation to Improve the Blood Supply Chain. Operational Research for Emergency Planning in Healthcare. 2007(1): 353-372.
  • Nahmias S. Perishable Inventory Theory: A Review. Operations Research. 1982;30(4): 680–708.
  • Veinott AF. Optimal Policy for a Multi-Product, Dynamic, Nonstationary Inventory Problem. Management Science. 1965; 12(3): 151-315.
  • Jennings JB. Blood Bank Inventory Control. Management Science. 1973;19(6): 593-715.
  • Pierskalla WP, Roach CD. Optimal Issuing Policies for Perishable Inventory. Management Science. 1972;18(11): 603–614.
  • Brodheim E, Cyrus D, Gregory P. On the Evaluation of a Class of Inventory Policies for Perishable Products Such as Blood. Management Science. 1975; 21(11):1320–1325.
  • Pierskalla WP, Sassetti R, Cohen M, Deuermeyer B, Marritt R, Consolo J, et al. Regionalization of Blood Banking Services. In Executive Summary, edited by The Kendall KE, Lee SM. formulating Blood Rotation Policies with Multiple Objectives. Management Science. 1980; 26(11): 1145–1157.
  • Prastacos GP, Brodheim E. “PBDS: A Decision Support System for Regional Blood Management. Management Science. 1980;26(5): 451–463.
  • Omosigho SE. Determination of Outdate and Shortage Quantities in the Inventory Problem with Fixed Lifetime. International Journal of Computer Mathematics. 2002;79(11): 1169–1177.
  • Rytilä JS, Spens KM. Using Simulation to Increase Efficiency in Blood Supply Chains. Management Research News. 2006; 29(12); 801–819.
  • Erickson ML, Champion MH, Klein R, Ross RL, Neal ZM, Snyder EL. Management of Blood Shortages in a Tertiary Care Academic Medical Center: The Yale-new Haven Hospital Frozen Blood Reserve. Transfusion. 2008; 48(10): 2252–2263.
  • Ghandforoush P. Sen TK. A DSS to Manage Platelet Production Supply Chain for Regional Blood Centers. Decision Support Systems. 2010; 50(1): 32–42.
  • Zhou D, Lawrence CL, William P. Inventory Management of Platelets in Hospitals: Optimal Inventory Policy for Perishable Products with Regular and Optional Expedited Replenishments. Manufacturing & Service Operations Management. 2011;13 (4): 420–438.
  • Stanger SHW, Yates N, Wilding R, Cotton S. Blood Inventory Management: Hospital Best Practice. Transfusion Medicine Reviews. 2012; 26(2): 153–163.
  • Li YC, Liao HC. The Optimal Parameter Design for a Blood Supply Chain System by the Taguchi Method. International Journal of Innovative Computing Information and Control. 2012; 8(11): 7697–12.
  • Duan, Q, Liao TW. A New Age-based Replenishment Policy for Supply Chain Inventory Optimization of Highly Perishable Products. International Journal of Production Economics. 2013; 145(2): 658–671.
  • Elston RC, Pickrel JC. A Statistical Approach to Ordering and Usage Policies for a Hospital Blood Bank. Transfusion. 1963; 3(1): 41–47.
  • Cohen MA, Pierskalla WP. Target Inventory Levels for a Hospital Blood Bank or a Decentralized Regional Blood Banking System. Transfusion. 1979;19(4): 444-454.
  • Brennan JE, Golden BL, Rappoport JK. Go with the Flow: Improving Red Cross Bloodmobiles Using Simulation Analysis. Interfaces. 1992; 22(5):1-13.
  • Fontaine MJ, Yenho TC, Feryal E, Goodnough LT. Age of Blood as a Limitation for Transfusion: Potential Impact on Blood Inventory and Availability. Transfusion. 2010;50(10): 2233–2239.
  • Wevers A, Wigboldus DHJ, Kort WLAM, van Baaren R, Veldhuizen IJT. Characteristics of donors who do or do not return to give blood and barriers to their return. Blood Transfus. 2014; 12(Suppl 1): 37–43.
There are 26 citations in total.

Details

Primary Language Turkish
Subjects Clinical Sciences
Journal Section Review
Authors

Gizem Gül Koç 0000-0002-0058-0207

Ali Kokangül 0000-0002-0853-6411

Project Number yok
Publication Date July 1, 2023
Submission Date August 11, 2022
Acceptance Date August 17, 2022
Published in Issue Year 2023

Cite

Vancouver Koç GG, Kokangül A. Kan Ürünleri Tedarik Zinciri. Phnx Med J. 2023;5(2):56-60.

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