IJERT-Blood Supply Chain Model in Health Care: Models and Analysis (original) (raw)
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Blood Supply Chain Model in Health Care: Models and Analysis
2014
Supply chain management of blood supply is one of medical issues that needs special attention. One of general problem in the production of blood donors is total number of demands that not equal to production quantities that available in inventory system of blood donation. One of the constraints on the supply chain issues for the blood supply where blood is a perishable product. This research is modeling the supply chain distribution so that model can be used to minimize the operational costs of hospital of blood availability due to the level demand and the type of blood group.
Designing an optimal inventory management model for the blood supply chain
Medicine, 2020
Blood supply managers in the blood supply chain have always sought to create enough reserves to increase access to different blood products and reduce the mortality rate resulting from expired blood. Managers' adequate and timely response to their customers is considered vital due to blood perishability, uncertainty of blood demand, and the direct relationship between the availability/ lack of blood supply and human life. Further to this, hospitals' awareness of the optimal amount of requests from suppliers is vital to reducing blood return and blood loss, since the loss of blood products surely leads to high expenses. This paper aims to design an optimal management model of blood transfusion network by a synthesis of reusable simulation technique (applicable to all bases) and deep neural network (the latest neural network technique) with multiple recursive layers in the blood supply chain so that the costs of blood waste, return, and shortage can be reduced. The model was implemented on and developed for the blood transfusion network of Khorasan Razavi, which has 6 main bases active from October 2015 to October 2017. In order to validate the data, the data results of the variables examined with the real data were compared with those of the simulation, and the insignificant difference between them was investigated by t test. The solution of the model facilitated a better prediction of the amount of hospital demand, the optimal amount of safety reserves in the bases, the optimal number of hospital orders, and the optimal amount of hospital delivery. This prediction helps significantly reduce the return of blood units to bases, increase availability of inventories, and reduce costs.
Modeling and Analysis of Distribution of Blood Stocks to Healthcare Units
Managing the Asian Century, 2017
The problem of both under stock and over stock of blood due to seasonal variations in blood requirements is a serious problem affecting any blood distribution system in India and other countries. There may be lack of coordination between blood banks and its supply system. In this context, supply chain management may assume a significant role and has attracted serious research attention over the past few years. A literature review reveals a considerable spurt in research in theory and practice of SCM. An integrated supply chain and distribution system as an extended enterprise is to be developed for addressing the problems related to mismatch between supply and demand of blood stocks at a particular period of time with respect to a given population of patients in a location. This paper presents a model wherein the blood stocks are redistributed from one blood bank to another with the assurance of meeting the minimum level demand at emergency situation avoiding stockout situation. Demand has been estimated and forecasted considering the seasonality and trend factor in account. In this model, the blood banks considered are clustered using k-means clustering technique based on the distances between the blood banks. The blood banks with excess of stock, considered as centroid, are to distribute the excess stock to the blood banks with scarcity. The main objective of the paper is to determine the stocking rules of blood so as to reduce the wastage of the blood units and reducing the scarcity at demand points.
Mathematical modeling for optimizing the blood supply chain network
Modern Supply Chain Research and Applications
PurposeThis research studies a location-allocation problem considering the m/m/m/k queue model in the blood supply chain network. This supply chain includes three levels of suppliers or donors, main blood centers (laboratories for separation, storage and distribution centers) and demand centers (hospitals and private clinics). Moreover, the proposed model is a multi-objective model including minimizing the total cost of the blood supply chain (the cost of unmet demand and inventory spoilage, the cost of transport between collection centers and the main centers of blood), minimizing the waiting time of donors in blood donating mobile centers, and minimizing the establishment of mobile centers in potential places.Design/methodology/approachSince the problem is multi-objective and NP-Hard, the heuristic algorithm NSGA-II is proposed for Pareto solutions and then the estimation of the parameters of the algorithm is described using the design of experiments. According to the review of th...
Managing Inventory on Blood Supply Chain
Transactions on Engineering Technologies, 2018
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 reorder 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 reorder 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 reorder 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.
Challenge and opportunity research in blood supply chain management: a literature review
MATEC Web of Conferences, 2018
An interconnected series of the blood management is called blood supply chain management (BSCM). The stages of BSCM consisted of blood collecting, production, inventory, and distribution. The main challenges in BSCM are related to shortage, outdate, and supply chain cost which needed to minimize. Naturally, problems in BSCM are complex, it is not an easy task to find the solution. This complexity brought by several factors as follows: its inflicted risk, the uncertainty of supply and demand, blood nature as perishable commodity, demand uniqueness, and cost occurred. This research purposes was to review of various research related to BSCM and highlight opportunities to develop further research in blood supply chain (BSC). The result of this research is a suggestion on various possible future research to be explored in BSC, for example, developing an adaptive inventory model to support blood supply chain management that could be responsive toward demand fluctuation and developing collecting strategy to minimize shortage, outdate and incurred cost in supply chain level.
Blood Supply Chain Management: A Review of Different Solution Techniques
Journal of Mathematics and Statistics Studies
Managing the blood supply network is crucially important. The lack of blood might result in patient problems and even death. Blood loss, on the other hand, results in hefty expenses. To reduce the levels of shortage and wastage, the blood product supply chain must make the best decisions possible. Numerous writers have researched this field because of the intricacy and significance of the blood supply chain. This essay aims to provide an overview of research on the blood supply chain. Studies that were published from 2015 to 2022 were therefore examined and categorized. This survey's main contribution is to update the body of research on the blood supply chain with a new classification and critically evaluate the state of the art in this field. Environments for making decisions, problems with the blood supply chain's design, working methods, decision-making, modeling, problem-solving methods, and data features are among the suggested categories. In addition, the shortcomings...
Journal of Healthcare Engineering, 2020
Purpose. Blood, like fresh produce, is a perishable element, with platelets having a limited lifetime of five days and red blood cells lasting 42 days. To manage the blood supply chain more effectively under demand and supply uncertainty, it is of considerable importance to developing a practical blood supply chain model. This paper proposed an essential blood supply chain model under demand and supply uncertainty. Methods. This study focused on how to manage the blood supply chain under demand and supply uncertainty effectively. A stochastic mixed-integer linear programming (MILP) model for the blood supply chain is proposed. Furthermore, this study conducted a sensitivity analysis to examine the impacts of the coefficient of demand and supply variation and the cost parameters on the average total cost and the performance measures (units of shortage, outdated units, inventory holding units, and purchased units) for both the blood center and hospitals. Results. Based on the results,...
Design of Blood Supply Chain and Application to Marmara Region in Turkey
European Journal of Engineering and Technology Research, 2019
Blood transfusion is needed due to operations, diseases or accidents. Millions of people's health depends on the success of their blood transfusion. Planning and management is required to supply blood, test against diseases, produce blood products, store t hem and transport them to hospitals. A blood supply chain network design such as Blood Donation Centers (CBM), Regional Blood Centers (RBC), Destruction Centers (DM), and hospitals are addressed. To formulate the problem, the General Algebraic Modeling System (GAMS) software was applied to the Mixed Integer Model. When the number of RBC in Marmara region decreased from 3 to 2, opening and transportation costs increased to 5.37million.WhenthenumberofRBCsincreasedfrom3to4,openingandtransportationcostsdecreasedto5.37 million. When the number of RBCs increased from 3 to 4, opening and transportation costs decreased to 5.37million.WhenthenumberofRBCsincreasedfrom3to4,openingandtransportationcostsdecreasedto3.94 million.