INFORMATION SYSTEM DEVELOPMENT OF BLOOD INVENTORY MANAGEMENT IN PEKANBARU’S BLOOD TRANSFUSION UNIT

This research was conducted in once one Unit of blood transfusion (UTD) Riau Province formed by PMI to provide blood transfusion services. Blood products provided that is made up of the blood types of Whole Blood (WB), Packet of Red Cell (PRC), Liquid (LP) Plasma, Fresh Frozen Plasma (FFP), Thrombocyte Concentrate (TC), Washed and Kriopresipitat Erytrhocyte (WE). The unit faced a problem that is an increase in demand but is not offset by the amount of blood supply. The goal is menghintung the value of the inventory policy. The method used for the calculation of these blood products supply policy is with ABC Analysis method and the method of continuous review. Further, this research is presented in the form of information systems development application by using the method of SDLC. Research results are displayed based on the current inventory policies, namely the value of safety stock, reorder point value, the value of order quantity and level of service level on any blood products. The implications of this research can facilitate Parties UTD to manage the blood supply. Further research suggested the presence of simulated blood inventory, in order to establish the policy scenarios will be applied at UTD. Keywords: Andorid Applications, Continuous Review, Management Inventory, SDL

Supply chain management of blood products: a literature review.

This paper presents a review of the literature on inventory and supply chain management of blood products. First, we identify different perspectives on approaches to classifying the existing material. Each perspective is presented as a table in which the classification is displayed. The classification choices are exemplified through the citation of key references or by expounding the features of the perspective. The main contribution of this review is to facilitate the tracing of published work in relevant fields of interest, as well as identifying trends and indicating which areas should be subject to future research.OR in health services; Supply chain management; Inventory; Blood products; Literature review;

Modelling very large complex systems using distributed simulation: A pilot study in a healthcare setting

Modern manufacturing supply chains are hugely complex and like all stochastic systems, can benefit from simulation. Unfortunately supply chain systems often result in massively large and complicated models, which even today’s powerful computers cannot run efficiently. This paper presents one possible solution - distributed simulation. This pilot study is implemented in a healthcare setting, the supply chain of blood from donor to recipient

Comparing conventional and distributed approaches to simulation in complex supply-chain health systems

Decision making in modern supply chains can be extremely daunting due to their complex nature. Discrete-event simulation is a technique that can support decision making by providing what-if analysis and evaluation of quantitative data. However, modelling supply chain systems can result in massively large and complicated models that can take a very long time to run even with today's powerful desktop computers. Distributed simulation has been suggested as a possible solution to this problem, by enabling the use of multiple computers to run models. To investigate this claim, this paper presents experiences in implementing a simulation model with a 'conventional' approach and with a distributed approach. This study takes place in a healthcare setting, the supply chain of blood from donor to recipient. The study compares conventional and distributed model execution times of a supply chain model simulated in the simulation package Simul8. The results show that the execution time of the conventional approach increases almost linearly with the size of the system and also the simulation run period. However, the distributed approach to this problem follows a more linear distribution of the execution time in terms of system size and run time and appears to offer a practical alternative. On the basis of this, the paper concludes that distributed simulation can be successfully applied in certain situations

Blood-Management Systems: An Overview of Theory and Practice

This paper provides an overview of the theory and practice of blood management, based on the author's experience in developing models of blood-supply system operations and using them to assist in installing new blood-management procedures in a major system in the United States. It is of interest both as a contribution to the theory and practice of health-care management and as an excellent example of a successful case of applied systems analysis