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1996 Asian Fuzzy Systems Symposium - Soft Computing in Intelligent Systems and Information Processing

作者： Tzeng, GH Lin, JJ Natl Chiao Tung Univ Taipei Taiwan

ISBN: (纸本)0780336879

New development planning area, like as new town and new community, usually ignores to layout the location for emergency facilities, like as police station, hospital and fire station, beforehand. Such remissness is harmful to people`s life and property. We adopt the ideal of backup coverage to expand the BACOP1 model to BACOP1-m model with m+1 objectives in the 0-1 integer programming model to analyze the emergency facilities layout of new development planning area. In the process of anal? sis, the TOPSIS multiobjective programming approach was suggested to obtain the non-inferior solutions. Finally, a case study to fire station layout of Tanhai new town is showed. Five alternatives, including different amount and layout were obtained by using chang the different weights for objectives. The result can prove the usefulness of model and provide a basis for the evaluating process.

关键词： TOPSIS fuzzy multiobjective programming emergency facility fire station location layout backup coverage

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The Multiple Traveling Salesman Problem with backup coverage

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Electronic Notes in Discrete Mathematics 2018年 66卷 135-142页

作者： Dhein, Guilherme Neto, Alberto Francisco Kummer de Araújo, Olinto César Bassi Universidade Federal de Santa Maria Brazil

We consider a variant of the classical Multiple Traveling Salesmen Problem in which the distance between any two vehicles is never greater than a fixed distance D. This new feature allows salesmen to help each other timely if an emergency happens, with an estimated backup response time related to D. To achieve this goal, a spatial and temporal synchronization is required, and it incorporates routes interdependence difficulties to be overcomed. A Genetic Algorithm and a Local Search Genetic Algorithm that embodies a Variable Neighborhood Descent procedure are proposed to solve this problem. Computational results are reported on modified benchmark instances taken from TSPLIB in order to exhibit prospects of the proposed algorithms. Through an analysis of results, the highly effective performance of our proposed Local Search Genetic Algorithm is shown in comparison to the classical Genetic Algorithm. © 2018 Elsevier B.V.

关键词： backup coverage Genetic Algorithm synchronization VND

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Joint ground and air emergency medical services coverage models: A greedy heuristic solution approach

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EUROPEAN JOURNAL OF OPERATIONAL RESEARCH 2010年第2期207卷 736-749页

作者： Erdemir, Elif Tokar Batta, Rajan Rogerson, Peter A. Blatt, Alan Flanigan, Marie SUNY Buffalo Dept Ind & Syst Engn Buffalo NY 14260 USA SUNY Buffalo Dept Geog Buffalo NY 14260 USA SUNY Buffalo Natl Ctr Geog Informat & Anal Buffalo NY 14260 USA CUBRC Ctr Transportat Injury Res Buffalo NY 14225 USA Univ Minnesota Ind & Syst Engn Program Minneapolis MN 55455 USA

Aeromedical and ground ambulance services often team up in responding to trauma crashes, especially when the emergency helicopter is unable to land at the crash scene. We propose location-coverage models and a greedy heuristic for their solution to simultaneously locate ground and air ambulances, and landing zones (transfer points). We provide a coverage definition based on both response time and total service time, and consider three coverage options: only ground emergency medical services (EMS) coverage, only air EMS coverage, or joint coverage of ground and air EMS in which the patient is transferred from an ambulance into an emergency helicopter at a transfer point. To analyze this complex coverage situation we develop two sets of models, which are variations of the Location Set Covering Problem (LSCP) and the Maximal Covering Location Problem (MCLP). These models address uncertainty in spatial distribution of motor vehicle crash locations by providing coverage to a given set of both crash nodes and paths. The models also consider unavailability of ground ambulances by drawing upon concepts from backup coverage models. We illustrate our results on a case study that uses crash data from the state of New Mexico. The case study shows that crash node and path coverage percentage values decrease when ground ambulances are utilized only within their own jurisdiction. (C) 2010 Elsevier B.V. All rights reserved.

关键词： Emergency services Trauma crashes Aeromedical Location-coverage models backup coverage

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The Q-coverage multiple allocation hub covering problem with mandatory dispersion

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SCIENTIA IRANICA 2012年第3期19卷 902-911页

作者： Zarandi, M. H. Fazel Davari, S. Sisakht, S. A. Haddad Amirkabir Univ Technol Dept Ind Engn Tehran Iran Sharif Univ Technol Dept Ind Engn Tehran Iran

This paper addresses the multiple allocation hub set-covering problem considering backup coverage and mandatory dispersion of hubs. In the context of this paper, it has been assumed that a flow is covered if there are at least Q possible routes to satisfy its demand within a time bound. Moreover, there is a lower limit for the distance between hubs in order to provide a degree of dispersion in the solution. Mathematical formulation of this problem is given, which has O(n(2)) variables and constraints. Computational experiments carried out on the well-known CAB dataset give useful insights concerning model behavior and its sensitivity to parameters. (C) 2012 Sharif University of Technology. Production and hosting by Elsevier B.V. All rights reserved.

关键词： Hub location Network design Hub covering problem Multiple allocation backup coverage

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A quantitative assessment on the placement practices of gas detectors in the process industries

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JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES 2015年 35卷 339-351页

作者： Benavides-Serrano, A. J. Mannan, M. S. Laird, C. D. Texas A&M Univ Dept Chem Engn Artie McFerrin Dept Chem Engn College Stn TX 77843 USA Texas A&M Univ Mary Kay OConnor Proc Safety Ctr Artie McFerrin Dept Chem Engn College Stn TX 77843 USA Purdue Univ Sch Chem Engn W Lafayette IN 47907 USA

Gas detection is an important safety system with interfaces to several other safety safeguards. However, the generality of the regulations, standards and recommended practices in conjunction with the inherent challenges of the gas detector placement problem, has resulted in a widespread use of prescriptive and qualitative detector placement strategies. In order to take advantage of the quantitative information provided by dispersion simulations, a stochastic programming formulation (SP-UV) was previously proposed, developed and validated by the authors. This formulation identifies the gas detector layout that minimizes the expected value of an overall damage coefficient (i.e., the minimization of a risk metric) given a set of dispersion scenarios. Results demonstrated the potential and suitability of numerical optimization to solve the gas detector placement problem while rigorously considering its inherent uncertainties. In this work, four existing approaches for gas detector placement were implemented and compared with the previously proposed quantitative optimization-based approach using three different performance metrics in accordance to the objectives of gas detection systems. Results provide evidence on the effectiveness of the use of dispersion simulations, and mathematical programming, to supplement the gas detector placement problem. (c) 2014 Published by Elsevier Ltd.

关键词： Gas detection Process safety Detector placement Stochastic programming Mixed-integer linear programming Unavailability backup coverage Voting

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A blood supply chain network design with interconnected and motivational strategies: a case study

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JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING 2021年第7期14卷 8249-8269页

作者： Kohneh, Jamal Nahofti Derikvand, Hadis Amirdadi, Masoud Teimoury, Ebrahim Clemson Univ Glenn Dept Civil Engn 135 Lowry Hall Clemson SC 29634 USA Islamic Azad Univ Dept Ind Engn Sci & Res Branch Tehran Iran Univ Ferdowsi Coll Engn Dept Ind Engn Mashhad Razavi Khorasan Iran Iran Univ Sci & Technol Sch Ind Engn Tehran Iran

In the aftermath of a disaster, acquiring and fulfilling blood demand is essential to prevent further loss of lives. Consequently, in recent years, the concept of blood supply chain design for disaster relief has gained immense importance. This article addresses this issue by developing a novel bi-objective scenario-based mathematical model to minimize the system's costs while enhancing the blood supply rate. The proposed framework encompasses three echelons of blood centers, hospitals, and backup blood centers. The model is developed using a set of techniques, including backup coverage, lateral transshipment, gift card, buffer storage, and blood transfusion. This specific combination aims to reduce blood shortages in the system by improving the coordination among different echelons of the network and encouraging more eligible individuals to donate blood. Next, the model is evaluated by applying it to a case study concerning a probable dangerous earthquake in Tehran capital of Iran. Furthermore, a Lagrangian relaxation method is implemented on the model to improve its capability in dealing with larger-scale problems with higher efficiency. Finally, the results and analysis demonstrate our approach's validity and advantages in satisfying the blood demand in a disaster time.

关键词： Supply chain network design Gift cards Buffer backup coverage Lateral transshipment Lagrangian relaxation method

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A robust model for a humanitarian relief network with backup covering under disruptions: A real world application

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INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION 2018年 28卷 56-68页

作者： Rahmani, Donya Zandi, Arash Peyghaleh, Elnaz Siamakmanesh, Nima KN Toosi Univ Technol Dept Ind Engn Tehran Iran Clemson Univ Glenn Dept Civil Engn Clemson SC USA

In this paper a reliable and robust model for the humanitarian relief supply chain has been presented to deal with the risk of facility disruptions after an earthquake. Assignment of backup suppliers for affected population centers is considered in order to improve the reliability of the model. Employment of public local centers and defining a two-level structure for rescue centers was considered to raise the accessibility to population centers. A four-step methodology was suggested to define the input parameters of the model which were affected by the uncertainty associated with the magnitude of an earthquake. To investigate this uncertainty, the potential epicenters of probable earthquakes and their magnitudes were assumed as uncertain parameters and estimated with a set of scenarios. A scenario-based robust optimization approach was used to sweep over the uncertain parameters. In the proposed methodology, a practical three-factor function was described to determine the impact of an earthquake on rescue centers and demand points. A solution method was proposed based on Lagrangian relaxation method, whose computational efficiency was also examined. A case study in Tehran was used to show the performance of the model in addition to determine whether the proposed methodology was efficient and practical. The computational results revealed the efficiency of the proposed model and sensitivity analyses indicated that the proposed model could be useful in conditions where budget constraints exist

关键词： Humanitarian relief network backup coverage Reliability Fragility curve Robustness

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Optimizing the spatial location of medical drones

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APPLIED GEOGRAPHY 2018年 90卷 9-16页

作者： Pulver, Aaron Wei, Ran Univ Utah Dept Geog Salt Lake City UT USA Univ Calif Riverside Sch Publ Policy Ctr Geospatial Sci Riverside CA 92521 USA

Unmanned aerial vehicles (UAVs) or drones are increasingly proposed for medical uses due to their potential to transport medical supplies quickly and efficiently. A prototype medical drone that is equipped with an on-board automated external defibrillator (AED) was announced recently to significantly reduce the time it takes for an AED to arrive to a patient's side. As drones are battery-operated and have limited service range, a network of medical drones is required to adequately provide service to a large area. This paper developed a new spatial optimization model, the backup coverage location problem with complementary coverage (BCLP-CC), to aid in the deployment of a network of AED enabled medical drones. By explicitly integrating backup coverage and continuously distributed demand, the BCLP-CC can optimally place drones and the corresponding launch sites while significantly improving backup coverage with minimal loss of primary coverage. Our results show that 90.4% of historical out-of-hospital cardiac arrests in Salt Lake County can be responded to within 1 min by using 71 drones and 68 launch sites. In addition, 58.9% of incidents can be served by two or more drones, a significant improvement over existing models. This study shows that drones could significantly reduce life-saving equipment travel times for victims of cardiac arrest by appropriately siting them, which will motivate further research in using UAVs or drones for emergency medical purpose.

关键词： Emergency medical service Spatial optimization Medical drones backup coverage Cardiac arrest

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Reliable Cooperative and backup Covering in Disaster Situations

Reliable Cooperative and Backup Covering in Disaster Situati...

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IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)

作者： Ashtiani, L. Hazrati Seifbarghy, M. Bashiri, M. Alzahra Univ Dept Ind Engn Tehran Iran Shahed Univ Dept Ind Engn Tehran Iran

ISBN: (纸本)9781479909865

This paper addresses a reliable facility location problem in which the possibility of facility disruption is considered. There are two types of candidate sites which differ from the reliability aspects. A combination of cooperative and backup coverage concepts are considered. It is assumed that customers can be covered by a combination of reliable and unreliable emergency centers in their primal coverage. backup coverage is also considered for demands in which primal coverage is provided by unreliable centers. The proposed model aims to minimize the total costs, including fixed and expected transportation costs. The nonlinear formulation is resulted and is linearized by the necessary constraints. In addition, the abovementioned problem is solved by the GAMS optimization software, using a number of generated examples in order to demonstrate the performance of the model.

关键词： backup coverage cooperative covering problem disaster management facility disruptions reliable

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Optimal placement of multiple types of communicating sensors with availability and coverage redundancy constraints

Optimal placement of multiple types of communicating sensors...

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Conference on Ground/Air Multi-Sensor Interoperability, Integration, and Networking for Persistent ISR

作者： Vecherin, Sergey N. Wilson, D. Keith Pettit, Chris L. USA Cold Reg Res & Engn Lab 72 Lyme Rd Hanover NH 03755 USA New Mexico State Univ Dept Phys Las Cruces NM 88003 USA US Naval Acad Dept Aerosp Engn Annapolis MD 21402 USA

ISBN: (纸本)9780819481580

Determination of an optimal configuration (numbers, types, and locations) of a sensor network is an important practical problem. In most applications, complex signal propagation effects and inhomogeneous coverage preferences lead to an optimal solution that is highly irregular and nonintuitive. The general optimization problem can be strictly formulated as a binary linear programming problem. Due to the combinatorial nature of this problem, however, its strict solution requires significant computational resources (NP-complete class of complexity) and is unobtainable for large spatial grids of candidate sensor locations. For this reason, a greedy algorithm for approximate solution was recently introduced [S. N. Vecherin, D. K. Wilson, and C. L. Pettit, "Optimal sensor placement with terrain-based constraints and signal propagation effects," Unattended Ground, Sea, and Air Sensor Technologies and Applications XI, SPIE Proc. Vol. 7333, paper 73330S (2009)]. Here further extensions to the developed algorithm are presented to include such practical needs and constraints as sensor availability, coverage by multiple sensors, and wireless communication of the sensor information. Both communication and detection are considered in a probabilistic framework. Communication signal and signature propagation effects are taken into account when calculating probabilities of communication and detection. Comparison of approximate and strict solutions on reduced-size problems suggests that the approximate algorithm yields quick and good solutions, which thus justifies using that algorithm for full-size problems. Examples of three-dimensional outdoor sensor placement are provided using a terrain-based software analysis tool.

关键词： sensor placement optimization binary linear programming sensor communication backup coverage sensor availability

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