Abstract
There is unbalance the amount of blood demand and the availability of blood for each component at Blood Transfusion Unit in Indonesia. As the result, this component run into inventory shortage so management need to maintain the strategy of blood supply chain for the patients. Purpose of this is to manage inventory on the blood component of Packed Red Cells which it to be the highest blood component requirement for patient in this case study. Managing inventory is done through several stages including forecasting method, safety stock , and re-order point . Finding of this study was obtained that exponential smoothing (α = 0.95) to be the best forecasting method. Then, to manage inventory , this agency need to prepared 34 blood bags for safety stock and 76 blood bags for re-order point . This results able to give recommendation to the Blood Transfusion Unit at Indonesia regarding with the number of blood component provided and how much re-order to be made at the time of reaching the lead time. Further study is suggested to conduct simulation method in order to evaluate policy in managing blood inventory and prepare scenario for optimizing inventory level.
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References
WHO, Towards 100% Voluntary Blood Donation: A Global Framework for Action, Geneva, Switzerland (2010)
F. Lestari, K. Ismail, A.B.A. Hamid, W. Sutopo, Designing supply chain analysis tool using SCOR model (Case study in palm oil refinery), in 2013 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Bangkok, Thailand (2013), pp. 919–923
F. Lestari, U. Anwar, N. Nugraha, B. Azwar, Forecasting demand in blood supply chain (Case study on blood transfusion unit), in Lecture Notes in Engineering and Computer Science: Proceedings of The World Congress on Engineering 2017, 5–7 July 2017, London, U.K. (2017), pp. 764–767
P. Wanke, A conceptual framework for inventory management: focusing on low-consumption items. Prod. Inventory Manag. J. 49(1), 6–23 (2014)
P. Vrat, Basic concepts in inventory management, in Materials Management: An Integrated Systems Approach (Springer, India, 2014), pp. 21–36
K.B. Prempeh, The impact of efficient inventory management on profitability: evidence from selected manufacturing firms in Ghana. MPRA 1–6 (2015)
N. Liu, S. Ren, T. Choi, C. Hui, S. Ng, Sales forecasting for fashion retailing service industry: a review. Math. Probl. Eng. 2013, 1–10 (2013)
V. Vlckova, M. Patak, Role of demand planning in business process management, in 6th International Scientific Conference, 13–14 May 2010, Vilnius, Lithuania (2010), pp. 1119–1126
A.C. Rădăşanu, Inventory management, service level and safety. J. Public Admin. Finance Law Inventory 9, 145–153 (2016)
C. Mekel, P.T. Bank, C. Asia, L. Lahindah, Stock out analysis: an empirical study on forecasting, re-order point and safety stock level at PT. Combiphar, Indonesia. Rev. Integr. Bus. Econ. Res. 3(1), 52–64 (2014)
F. Rangkuti, Inventory Management, vol. 2 (RajaGrafindo Persada, Jakarta, 2007)
K.T. Patton, G.A. Thibodeau, Anatomy and Physiology, 8th edn. (Elsevier Health Sciences, 2014)
Ministry of Health Indonesia, Standard of Blood Transfusion Unit: Regulation No. 91, 2015 (2015)
M.A. Okhovat, M. Khairol, A. Mohd, T. Nehzati, Development of world class manufacturing framework by using six-sigma, total productive maintenance and lean. Sci. Res. Essays 7(50), 4230–4241 (2012)
A.-K. Kähkönen, The influence of power position on the depth of collaboration. Supply Chain Manag.: Int. J. 19(1), 17–30 (2014)
K. Kleab, Important of supply chain management. Int. J. Sci. Res. Publ. 7(9), 397–400 (2017)
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The authors thank to Blood Transfusion Unit in Indonesia and Sultan Syarif Kasim State Islamic University who supported this research.
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Lestari, F., Ulfah, Nugraha, N., Azwar, B. (2019). Managing Inventory on Blood Supply Chain. In: Ao, SI., Gelman, L., Kim, H. (eds) Transactions on Engineering Technologies. WCE 2017. Springer, Singapore. https://doi.org/10.1007/978-981-13-0746-1_27
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DOI: https://doi.org/10.1007/978-981-13-0746-1_27
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