Hospital Management System Project

Study on the Centralization Strategy of the Blood Allocation among Different Departments within a Hospital

The blood inventory management methods focus either onblood bank or on hospitals. For instance, Keilson andSeidmann [5] mainly studied on the single perishable inventorysystem of the blood bank and established the formulas for thewastage rate, the shortage rate and the average age of issues inthe blood bank under the first-in-first-out policy in 1990. AndNahmias [3] proposed a novel model about perishableinventory of blood bank management based on single systemof blood bank as well. Code Shoppy Zhou et al. [1] and Prastacos [4] studiedsingle level inventory models for perishable items in hospitalonly.

And in 2009, Song and Zipkin [6] studied the optimalinventory stocks in the blood supply chain which utilizedregular replenishment and expedited replenishment, focusingon hospital as a single system. https://codeshoppy.com/shop/product/hospital-management-mobile-app/ Furthermore, there are a fewstudies that researched the two echelon inventory system. In2014, Abbasi and Seidmann [7] built a model obtained theoptimal distribution policies of the two echelon supply chainconsisting of the blood bank and hospital. What’s more,Zahra Hosseinifard and Babak Abbasi [8] proposed the novelmethods on the traditional two echelon blood supply chaininventory management by centralizing the inventory of severalhospitals that are close proximity from each other under oneblood bank in 2016, which is the only research that consideredthe centralization of the blood inventory among hospitals in atwo echelon system with stochastic replenishment andperishable items to the best of our knowledge. There areplentiful researches related to the optimal policies on how tomanage the inventory and allocation between hospital andblood center. However, we have not found researches focusingon the allocation among departments within a hospital.The integer programming models for blood inventorymanagement were developed by Jacobs in 1984 [9]. Jacobsbuilt two integer programming models to provide insights intothe current scheduling activities of blood collections anddistributions. The integer programming models worked out theoptimal policies on how to allocate blood items from the bloodbank to the hospitals, as well as the setting of blood productsinventory. Ghandforoush and Sen [10] raised a model with theobjective of minimizing total system cost containingproduction, transportation, testing and matching in a regionalblood center in 2010. Besides, in 2015 Serkan Gunpinar [2]and Grisselle Centeno developed an integer programmingmodel aiming at minimizing both total operational cost andtotal risk function. From then on, there are a large amount ofmodels incorporate different characteristics of blood supplychain and indicate variety of objective functions and solvingmethods.By far, we have not found researches on how to distributeblood products among different departments in hospital, thoughthe problem of blood shortage and wastage that caused byimproper blood allocation is severe. In this essay, weinvestigate the allocation approach with the novel managementmethod by centralizing the inventory of several differentdepartments, by which the shortage of blood in somedepartments could be supplied by the wastage in otherdepartments. Furthermore, we develop an integer programmingmodel aiming at minimizing the total cost, constituted ofshortage cost and wastage cost to work out the optimalinventory and allocation methods of blood products.

Minimizing both wastage and shortage as well as reducingthe age of blood items are targets of blood inventorymanagement. In this research, we reshuffled the construction ofblood inventory by centralizing some departments’ blooddemand and built a model to work out the optimal bloodallocation network scheme. Our work has an effective impacton the total cost and the performance measures. The result ofnumerical study revealed that the inventory centralizationreduces the shortage and the wastage in hospital remarkably.And to some extent, it assures the freshness of blood. In thisessay, we attained the optimal blood allocation networkscheme and the optimal inventory setting for every departments.Studying the methods of integrating the blood inventoryrequirements of some departments in hospital and consideringthe priority in blood distribution inside the centralized groupare recommended for future research.