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Optimal portfolios of blood safety interventions: test, defer or modify?

HEALTH CARE MANAGEMENT SCIENCE 2021年第3期24卷 551-568页

作者： Russell, W. Alton Custer, Brian Brandeau, Margaret L. Stanford Univ Dept Management Sci & Engn Stanford CA 94305 USA Vitalant Res Inst San Francisco CA 94118 USA Univ Calif San Francisco San Francisco CA 94143 USA

A safe supply of blood for transfusion is a critical component of the healthcare system in all countries. Most health systems manage the risk of transfusion-transmissible infections (TTIs) through a portfolio of blood safety interventions. These portfolios must be updated periodically to reflect shifting epidemiological conditions, emerging infectious diseases, and new technologies. However, the number of available blood safety portfolios grows exponentially with the number of available interventions, making it impossible for policymakers to evaluate all feasible portfolios without the assistance of a computer model. We develop a novel optimization model for evaluating blood safety portfolios that enables systematic comparison of all feasible portfolios of deferral, testing, and modification interventions to identify the portfolio that is preferred from a cost-utility perspective. We present structural properties that reduce the state space and required computation time in certain cases, and we develop a linear approximation of the model. We apply the model to retrospectively evaluate U.S. blood safety policies for Zika and West Nile virus for the years 2017, 2018, and 2019, defining donor groups based on season and geography. We leverage structural properties to efficiently find an optimal solution. We find that the optimal portfolio varies geographically, seasonally, and over time. Additionally, we show that for this problem the approximated model yields the same optimal solution as the exact model. Our method enables systematic identification of the optimal blood safety portfolio in any setting and any time period, thereby supporting decision makers in efforts to ensure the safety of the blood supply.

关键词： Blood safety Public health policy binary integer programming Cost-effectiveness

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Evolutionary strategy-based approaches for subcarrier, bit, and power allocation for multiuser OFDM systems

Evolutionary strategy-based approaches for subcarrier, bit, ...

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67th IEEE Vehicular Technology Conference

作者： Pao, Wei-Cheng Chen, Yung-Fang Natl Cent Univ Dept Commun Engn Chungli Taiwan

ISBN: (纸本)9781424416448

An evolutionary strategy (ES) scheme is proposed to solve the subcarrier, hit, and power allocation problem in this paper. By the property of the real-valued representation in the evolutionary strategy, the difficulties in coding with the genetic-based algorithms (GA) are conquered. This paper utilizes the method of the binary, integer programming to perform the bit loading to overcome the limitation met in the water-filling algorithm. A fuzzy logic controller (FLC) is introduced to adjust the mutation probability in the iteration process. A simple subcarrier assignment modification step is also introduced to speed up the convergence rate and improve the performance. Simulation results are conducted to veri v the features of better convergence rates with the proposed schemes, and the performance is improved.

关键词： allocation evolutionary strategy fuzzy logic controller binary integer programming

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Applying a revised VAM to a multi-level capacitated facility location problem

Applying a revised VAM to a multi-level capacitated facility...

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IEEE International Conference on Industrial Engineering and Engineering Management

作者： Chen, Ying-Yen Wang, Hsiao-Fan Natl Tsing Hua Univ Dept Ind Engn & Engn Management Hsinchu Taiwan

ISBN: (纸本)9781424415281

In this paper we developed a cost-varied Vogel-based approximation method, namely the Dynamic Vogel Approximation Method (DVAM), to solve a multi-level capacitated facility location problem (MCFLP), of which each client will be served by all levels of facilities with limited capacities. We discuss two kinds of MCFLP which are derived from two kinds of demand structures. The proposed algorithm is comparatively more efficient and accurate.

关键词： binary integer programming multi-level facility location greedy method DVAM

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Unified PMU Placement Algorithm for Power Systems

Unified PMU Placement Algorithm for Power Systems

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North American Power Symposium (NAPS)

作者： Amare, Kunal Centeno, Virgilio A. Pal, Anamitra Virginia Tech Bradley Dept Elect & Comp Engn Blacksburg VA 24061 USA Virginia Tech Virginia Bioinformat Inst Network Dynam & Simulat Sci Lab Blacksburg VA 24061 USA

ISBN: (纸本)9781467373890

This paper presents a PMU (phasor measurement unit) placement algorithm that gives the optimal PMU placement location and minimum number of PMUs for any electric network while considering different approaches. Complete observability, complete observability with N - 1 redundancy, different depths of unobservability, multi-stage sequential placement, real-time monitoring of critical buses are the various PMU placement approaches considered in this paper. The required input for the proposed algorithm is system information and other key aspects like locations of existing PMUs, locations unsuitable for PMU placement, and knowledge of critical buses. binary integer programming is used to find the respective PMU placement location and minimum number of PMUs. The algorithm is tested on IEEE 39-bus system, IEEE 118-bus system, and IEEE 300-bus system. The results suggest that the algorithm can be used on any power system network and the suitable PMU placement approach can be implemented for application.

关键词： binary integer programming observability optimal placement phasor measurement units (PMUs)

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Optimal Smart Gateway Deployment for the Internet of Things in Smart Home Environments 4

Optimal Smart Gateway Deployment for the Internet of Things ...

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IEEE 4th Global Conference on Consumer Electronics GCCE

作者： Lin, Po-Chiang Yuan Ze Univ Dept Commun Engn Taoyuan Taiwan

ISBN: (纸本)9781479987511

For the Internet of Things in smart home environments, the smart gateway is the key component to collect/disseminate information from/to various sensors/actuators. In this study we investigate the smart gateway deployment problem in smart home environments. This problem is formulated as a constrained optimization problem with the objective to minimize the deployment cost subject to the constraints that all service areas should be covered. The smart gateway deployment problem under consideration is formulated as a binary integer programming problem. We solve it by the branch and bound method which could effectively reduce the complexity.

关键词： Internet of Things (IoT) smart home binary integer programming

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Sensor Selection and Configuration in Visual Sensor Networks

Sensor Selection and Configuration in Visual Sensor Networks

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6th International Symposium on Telecommunications (IST) with Emphasis on Information and Communication Technology

作者： Hosseini, Mojtaba Dehghan, Mehdi Pedram, Hossein Amirkabir Univ Technol Dept Comp Engn Tehran Iran

ISBN: (纸本)9781467320733

In this article, the problem of selection and configuration of visual sensors in Visual Sensor Networks (VSNs) is studied for coverage of the existing targets in the three-dimensional network area. It is assumed that visual sensors are capable of Pan-Tilt-Zoom (PTZ) ability and able to choose the covered area and desirable target through configuration of the angle of view in two horizontal and vertical dimensions and alteration of the enlargement scale. In order to solve the problem of selection and configuration, a method is presented according to binary integer programming (BIP). It ensures to find the best solution. In addition, it has less calculation complexity compared with other optimization methods. Applying the proposed solution, two problems of k-coverage and full angle coverage have been assessed using two models of point target model and circular target model. The perceived results properly confirm the efficiency of the proposed method in terms of execution speed and decreasing the computation complexity.

关键词： Visual Sensor Networks Directional Sensor PTZ Capability Sensor Selection Sensor Configuration Circular Target Model Full Angle Coverage binary integer programming

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PMU Placement for the Central American Power Network and its Possible Impacts

PMU Placement for the Central American Power Network and its...

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IEEE-PES Conference on Innovative Smart Grid Technologies Latin America (ISGT LA)

作者： Sanchez, G. A. Pal, Anamitra Centeno, V. A. Flores, W. C. Virginia Tech Bradley Dept Elect & Comp Engn Blacksburg VA 24061 USA Reg Operating Entity San Miguel El Salvador

ISBN: (纸本)9781457718014

The Central American Power System (CAPS) comprises of the electrical power networks of Guatemala, El Salvador, Honduras, Nicaragua, Costa Rica and Panama. The topology of the network, the geographical distribution of the load and generation blocks, and the localized weaknesses in some sections of the transmission grid have made this system prone to frequent partial or total blackouts. At the same time, this area has the advantage of having a control center that can promote international measures in order to safeguard the integrity of the transmission network. This paper presents a gradual optimal PMU placement approach that guarantees minimum regional observability at the initial stage and full observability for the complete implementation. The paper also states how WAMS can provide real-time information to the control center for a more secure operation of the system. The practical constraints of ensuring real-time monitoring of critical buses of the network are taken into account during PMU Placement.

关键词： binary integer programming Observability Optimal Placement Phasor Measurement Units Power System Monitoring Wide Area Measurements

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Optimal PMU Placement to Achieve Complete Observability of Idaho Power Co. System

Optimal PMU Placement to Achieve Complete Observability of I...

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IEEE-Power-and-Energy-Society Innovative Smart Grid Technologies Conference (ISGT)

作者： Ciniglio, Orlando Papic, Milorad Vaiman, Michael Vaiman, Marianna Idaho Power Co Boise ID 83702 USA V&R Energy Syst Res Los Angeles CA USA

ISBN: (纸本)9781538628904

This paper presents an effective practical approach for identifying optimal locations of Phasor Measurement Units (PMUs) to achieve complete system observability. The approach, implemented in Physical and Operational Margins/Region Of Stability Existence (POM/ROSE) software, is based on automated iterative process of forming variables and constraints of a binary integer programming problem. The problem is then solved with standard linear programming solvers. The proposed approach was tested using Idaho Power Co. (IPC) system. It allows us to reduce the number of PMUs as compared to conventional techniques while maintaining complete system observability. A fast topological approach was also demonstrated and tested using IPC data in order to analyze the observability of the IPC network. The algorithm is fast and can be used in real-time as a part of bad data detection framework.

关键词： Complete system observability phasor measurement units (PMUs) optimal PMU placement binary integer programming topological analysis

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An Exact Method for the Assembly Line Re-balancing Problem

An Exact Method for the Assembly Line Re-balancing Problem

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IFIP WG 5.7 International Conference on Advances in Production Management Systems (APMS)

作者： Makssoud, Fatme Battaia, Olga Dolgui, Alexandre Ecole Mines St Etienne LIMOS St Etienne France

ISBN: (纸本)9783642412653;9783642412660

In this paper, we propose a mathematical optimisation model to solve the simple assembly line rebalancing problem. This problem arises when an existing assembly line has to be rebalanced in order to meet new production requirements. In this paper, a Mixed integer Program is proposed for solving this problem with the objective to minimize the number of changes in the initial line. The computational experiments show the efficacy of the proposed method.

关键词： Balancing and rebalancing of assembly lines binary integer programming

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Modeling of a scheduling problem with expected availability of resources

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OPSEARCH 2015年第4期52卷 771-781页

作者： Yellapu, Ganesh Penmetsa, Satish Bharat Elect Ltd Cent Res Lab Bangalore 560013 Karnataka India

A Mathematical model is proposed for an offline version of a scheduling problem. The problem comprises various types of jobs (or tasks) with deadlines to be accomplished and various types of resources, whose availability is not continuous and described by a resource calendar, to be used to accomplish the jobs. Further the scheduling must be optimum and must comply various constraints. The proposed model is a typical binary integer programming problem for the scheduling problem subject to various constraints and hence it could be solved using the techniques of binary integer programming. One heuristic method is also discussed to solve the scheduling problem.

关键词： binary integer programming Deadline Effort Offline setting Online setting Resource Resource calendar

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