Blood Bank Location Model for Blood Distribution Planning in Makassar City

Regionalization of local blood bank facility becomes interesting issue to discuss recently.\ud Determining distribution allocation of blood product is a strategic decision-making in the blood supply chain\ud in order to fulfill demands in both normal and emergency conditions. In this work, we develop a generalized\ud network optimization model for the blood transportation and allocation model in Makassar City South\ud Sulawesi Indonesia. Today, there are two main blood bank facilities in the city that operate by government and\ud local Red Cross organization. Each hospital will connect to the one of the blood bank facility. Each hospital is\ud to be assigned to a regional blood bank facility which will periodically supply the hospital???s blood demand for\ud each period. The supply process depends on the maximum capacity of the each regional blood bank facility.\ud We present algorithms to decide how many bloods banking to set up, where to locate them, how to allocate\ud the hospital to the banks and how to route the periodic supply operation, so that the total fixed costs and\ud transportation costs of blood bank facility location are minimum

Mathematical Programming Models for Annual and Weekly Bloodmobile Collection Planning

International audienceIn this paper, we propose a two-step bloodmobile collection planning framework. The first step is the annual planning to determine weeks of collection at each mobile site in order to ensure regional self-sufficiency of blood supply. The second step is the detailed weekly planning to determine days of collections at each mobile site and to form corresponding transfusion teams. Only key resource requirements are considered for annual planning while detailed resource requirements and transportation times are considered for weekly planning. Two Mixed Integer Programming models are proposed for annual planning by assuming fixed or variable mobile collection frequencies. A new donation forecast model is proposed based on population demographics, donor generosity, and donor availability. A new concept of bloodmobile collection configurations is proposed for compact and efficient mathematical modeling of weekly planning in order to minimize the total working time. Field data from the French Blood Service (EFS) in the Auvergne-Loire Region are used to design numerical experiments and to assess the efficiency of the proposed models

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;

Selective vehicle routing for a mobile blood donation system

In this study, a mobile blood collection system is designed with the primary objective of increasing blood collection levels. This design also takes into account operational costs to aim for collection of large amounts of blood at reasonable cost. Bloodmobiles perform direct tours to certain activities to collect blood, but at the end of each day, they bring the collected blood to a designated depot to prevent its spoilage. The proposed system consists of the bloodmobiles and a new vehicle called the shuttle that visits the bloodmobiles in the field on each day and transfers the collected blood to the depot. Consequently, bloodmobiles can continue their tours without having to make daily returns to the depot. We propose a mathematical model and a 2-stage IP based heuristic algorithm to determine the tours of the bloodmobiles and the shuttle, and their lengths of stay at each stop. This new problem is defined as an extension of the Selective Vehicle Routing Problem and is referred to as the SVRP with Integrated Tours. The performances of the solution methodologies are tested first on a real data set obtained from past blood donation activities of Turkish Red Crescent in Ankara, and then on a constructed data set based on GIS data of the European part of Istanbul. The Pareto set of optimum solutions is generated based on blood amounts and logistics costs, and finally a sensitivity analysis on some important design parameters is conducted. © 2015 Elsevier B.V. All rights reserved

Mobile blood donation logistics : case for Turkish Red Crescent

Ankara : The Department of Industrial Engineering and the Graduate School of Engineering and Science of Bilkent University, 2012.Thesis (Master's) -- Bilkent University, 2012.Includes bibliographical refences.Blood transfusion is one of the most critical operations in various medical interventions. Currently, the only authorized way of securing the required blood for transfusion is through voluntary donations. For this reason, reorganizing blood donation operations to create an operable and efficient system is of utmost importance. In this study, a mobile blood collection system is designed for Turkish Red Crescent (TRC) to increase blood collection levels. This design also takes into account operational costs as a second objective so as to aim the collection of large amounts of blood at reasonable cost. In the current system, TRC has bloodmobiles that perform independent direct tours to certain activities (fairs, college fests etc.), but at the end of each day, they bring the collected blood to a designated depot to prevent its spoilage. Considering blood’s considerably short shelf-life of 24 hrs, these direct tours may seem justifiable yet they are not efficient in terms of logistics costs. The proposed system consists of classic bloodmobiles and a new vehicle – called the shuttle – which visits the bloodmobiles in the field and transfers the collected blood to the blood centers, so that bloodmobiles can continue their tours without having to make daily returns to the depot. A mathematical model is developed to determine the stops of bloodmobiles, the duration of each visit as well as the tours of the bloodmobiles and the shuttle. In the literature, a study that covers all these decisions does not exist. Therefore, a new extension of Selective Vehicle Routing Problem (SVRP) is defined, called SVRP with Integrated Tours. Also, a 2-stage IP based heuristic algorithm is developed for the same problem. The performances of these methodologies are tested on the data set obtained from past blood donation activities in Ankara. In addition, GIS data of the European part of Istanbul is used as a constructed test case. The Pareto set of optimum solutions is generated based on blood amounts and logistics costs, and finally a sensitivity analysis on some important design parameters is conducted.Şahinyazan, Feyza GülizM.S

Recent Trends and Innovations in Modelling City Logistics

AbstractThere are many challenges associated with moving goods within cities as urban areas become larger and elderly residents require more healthcare in their homes. Air quality is also impacted by urban freight vehicles. This paper presents a review of recent trends and innovations in modelling city logistics. New techniques for modelling city logistics developed in the areas of emissions, healthcare and mega-cities are outlined. This paper describes the formulation, solution methodologies and applications of these models

Operations Research Models for Blood Supply Chain Network Design for Disaster Planning

A blood supply chain (BSC) deals with the collection, processing, storing, and distribution of blood collected from donors and delivered to patients at demand points (DPs) through a network of several temporary mobile blood units (MBUs) and permanent local blood centers (LBCs). In general, the strategic and tactical design of a BSC network determines response time and blood availability and accessibility for various health care services that extend and improve lives. Typically, BSC networks in the context of disaster management fall within the scope of humanitarian logistics networks in which profit, the main objective of commercial supply chains, is replaced by the objective of timely and proper delivery of post-disaster aid. Yet, most of the existing literature on the strategic design of BSCs aims at minimizing costs of the supply chain. Therefore, the main objective of this dissertation is to develop mathematical models to minimize total travel time for the distribution of blood units within a BSC and improve response time to deliver blood to DPs. Moreover, the approach used in this research explicitly incorporates uncertainty associated with disasters in the design and planning of BSCs. First, a deterministic mathematical programming formulation is developed to model the design of a BSC with the specific goal of minimizing travel time to distribute blood to DPs. The model is solved to identify the optimal location and relocation of LBCs and MBUs. Then, the deterministic model is extended into a stochastic programming model by incorporating uncertainty in blood supply, blood demand, and travel times associated with disaster scenarios. The resulting two-stage stochastic programming (TSSP) model is tested on small, medium, and large instances considering several disaster scenarios. Finally, a Sample Average Approximation (SAA) method is utilized to address the computational complexity of the TSSP model and efficiently solve a large-scale BSC network with a large number of scenarios within a reasonable computational time. Based on the insights obtained from computational experiments completed to test key parameters (e.g., donation rates, collection capacities, threshold for demand satisfaction, and facility installation budget) that may affect the BSC network design and the effectiveness of blood distribution, we conclude that there is a trade-off between total travel time and demand satisfaction for all BSC network sizes. Mainly, it was observed that reduced donation rates and collection capacities decreased demand satisfaction while increasing total travel time due to the need for deploying a considerable number of MBUs to collect blood. Another observation is that increasing the threshold for demand satisfaction at DPs considerably increases total travel time given the additional blood that must be distributed to DPs. Further, we noted that although a higher facility installation budget had little effect on reducing total travel time, it allowed for increased demand satisfaction which significantly improved service within the BSC network. Additionally, the value of deploying MBUs along with LBCs is demonstrated in the computational experimentation where optimal BSC networks utilize MBUs more frequently in disaster scenarios to allow for additional blood collection to meet demand in a timely manner. In this regard, we observed that the need for multiple shipments from different LBCs to a single DP reduces when MBUs are deployed. Overall, MBUs have proven to be effective in decreasing total travel time as well as increasing demand satisfaction. Finally, there is evidence that available blood supply had a significant influence on location decisions for LBCs and MBUs more than the location of DPs and their associated demand. Most importantly, the computational experimentation with the two models shows that the stochastic approach consistently outperforms the deterministic approach using the expected values of uncertain parameters. This provides evidence of the value of explicitly accounting for uncertainty when strategically designing a BSC network when planning for disasters