Multicriteria Optimization Method for Network-Level Bridge Management

1996 ◽  
Vol 1561 (1) ◽  
pp. 37-43 ◽  
Author(s):  
V. Ravirala ◽  
D. A. Grivas ◽  
A. Madan ◽  
B. C. Schultz
Keyword(s):  
New York ◽  
Multicriteria Optimization ◽  
Capital Investment ◽  
Programming Model ◽  
Treatment Options ◽  
New York State ◽  
Optimization Method ◽  
Medium Size ◽  
Bridge Management ◽  
Goal Programming Model

A multicriteria optimization method for analyzing important capital investment decisions involved in managing bridge infrastructure is presented. The condition assessment and decision variables of the method can be adapted to analyze a population of small and medium-size bridges or a population of spans of a large bridge. Condition ratings of various bridge structural elements are used to assess the condition needs of four major components. Subsequent use of this information leads to characterization of bridge condition by defining bridge states. State increment models are used to identify suitable treatment options for each state and predict the variable time over which state increments (or transitions) occur. These state increment models are incorporated into an optimization method that has three major steps: (a) identification of objective functions representing the multiple decision criteria, (b) assessment of the importance of each objective in achieving the numerical goals targeted by decision makers, and (c) formulation of a goal programming model. The goal program determines an optimal multi-year bridge program that minimizes the weighted sum of deviations from goals. Important results from the analysis of capital program scenarios for more than 800 small and medium-size bridges managed by the New York State Thruway Authority are presented. It is concluded that the multicriteria optimization method provides a useful tool to analyze multiple goal-oriented scenarios for a bridge capital program and establish a relationship between average network condition rating and total expenditure.

An Interval-Index-Oriented Intelligent Optimization Method and its Industrial Application

2011 ◽  
Vol 219-220 ◽  
pp. 546-550
Author(s):  
Ming Shan Cai ◽  
Ling Shuang Kong
Keyword(s):  
Optimal Control ◽  
Industrial Application ◽  
Programming Model ◽  
Optimization Method ◽  
Quality Indices ◽  
Reasoning Strategy ◽  
Goal Programming Model ◽  
Interval Goal Programming ◽  
Expert Reasoning

Based on the strong coupling and interval requirement of multiple quality indices, the interval-index-oriented optimization method is proposed to effectively realize the optimal control of alumina blending process. Firstly, the lexicographic interval goal programming model is built to describe the process requirements for quality indices. Then, based on the characteristics of the programming model, a kind of classificatory knowledge base is constructed by using the empirical knowledge accumulated in long-term production and the expert reasoning strategy is proposed to realize the optimal control of quality indexes with interval constraints. The results of industrial application shows that the proposed method can realize the optimal control of quality indices. It provides a good optimization mode for other blending processes of nonferrous metal production.

scholarly journals 311. Hepatitis C Screening Within a Large FQHC Network in Brooklyn, New York: How We Measure Across an Ethnically Diverse Population

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S166-S166
Author(s):  
Jesica Hayon ◽  
Isaac Dapkins ◽  
George Shahin ◽  
Doreen Colella ◽  
Morris Jrada ◽  
...  
Keyword(s):  
New York ◽  
Hepatitis C ◽  
Treatment Options ◽  
Compliance Rate ◽  
New York State ◽  
The United States ◽  
Ethnic Composition ◽  
Hispanic Population ◽  
Asian Ethnicity ◽  
Racial Ethnic

Abstract Background With over 100,000 unique lives and 600,000 visits in 2018, The Family Health Centers at NYU Langone (FHC) is one of the largest Federally Qualified Health Center network based primarily in Southwest Brooklyn New York. Within the catchment area 48% of the population report being born out of the United States, with 30% of the population describing themselves of Asian ethnicity and 42% as Latino [1]. Effective January 1, 2014 New York State law mandated hepatitis C screening to be offered to every individual born between 1945 and 1965 receiving health services. Now five years later, with the advancements in treatment options and increased access for patients where cost has become prohibitive we retrospectively reviewed how our performance has been prior to embarking on a goal of 60% screening compliance. Methods We performed a retrospective chart review looking at a denominator of patients born between 1945 and 1965 who were seen in the FHC for a visit in 2018. Patients who were previously screened since 2016, have a diagnosis of hepatitis C, history of hepatitis C documented in either past medical history, problem list or ICD code were excluded. Data abstraction for compliance in the numerator included patients who have a resulted hepatitis C antibody or have indicated current treatment (with a hepatitis C viral load). Results 51% of patients based on the aforementioned methodology have been screened in 2018. 11,577 patients were eligible with 650 patients having a documented refusal. 261 new diagnosis were made in 2018 and compliance for non-screened patients without any prior screening was 35%. Regarding racial/ethnic composition of the practice sites compared with patients screened, one practice site with an 87% Asian non-Hispanic population had a 35% compliance rate with screening where as the most predominate Hispanic population site (81% of total patients seen) had a 54% compliance rate. Conclusion Overall screening rates within the network are commendable, yet more work is being done to drive provider awareness on the need for compliance. Differences in racial/ethnic backgrounds and compliance of screening completion can be seen within the FHC network. Current efforts are focused on increasing culturally appropriate awareness amongst the patient population as well as the providers. Disclosures All authors: No reported disclosures.

scholarly journals Two-Stage Multiobjective Optimization for Emergency Supplies Allocation Problem under Integrated Uncertainty

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Xuejie Bai
Keyword(s):  
Programming Model ◽  
Fuzzy Random Variable ◽  
Random Variable ◽  
Optimization Method ◽  
Allocation Problem ◽  
Two Stage ◽  
Whole Process ◽  
Proposed Model ◽  
Goal Programming Model ◽  
Computational Difficulty

This paper proposes a new two-stage optimization method for emergency supplies allocation problem with multisupplier, multiaffected area, multirelief, and multivehicle. The triplet of supply, demand, and the availability of path is unknown prior to the extraordinary event and is descriptive with fuzzy random variable. Considering the fairness, timeliness, and economical efficiency, a multiobjective expected value model is built for facility location, vehicle routing, and supply allocation decisions. The goals of proposed model aim to minimize the proportion of demand nonsatisfied and response time of emergency reliefs and the total cost of the whole process. When the demand and the availability of path are discrete, the expected values in the objective functions are converted into their equivalent forms. When the supply amount is continuous, the equilibrium chance in the constraint is transformed to its equivalent one. To overcome the computational difficulty caused by multiple objectives, a goal programming model is formulated to obtain a compromise solution. Finally, an example is presented to illustrate the validity of the proposed model and the effectiveness of the solution method.

scholarly journals The Economic and Environmental Impacts of an Ethanol Industry on Western New York

1982 ◽  
Vol 11 (2) ◽  
pp. 133-139
Author(s):  
Brian W. Gould
Keyword(s):  
New York ◽  
Energy Use ◽  
Agricultural Sector ◽  
Programming Model ◽  
Conservation Tillage ◽  
New York State ◽  
Study Region ◽  
York State ◽  
Tillage Practices ◽  
Benchmark Solution

This paper examines the economic, environmental and energy use impacts of a corn based ethanol industry on Western New York State. A regional linear programming model is used. Five representative farm groups are used to describe the agricultural sector of the study region. Comparisons are made between a benchmark solution and model formulations that include conservation tillage practices, ethanol induced feed price changes, and the feeding of the feed by-product, DDG.

Reliability-Based Performance Model for Large Bridge Component Systems

1997 ◽  
Vol 1582 (1) ◽  
pp. 42-48
Author(s):  
P. D. Destefano ◽  
D. A. Grivas
Keyword(s):  
New York ◽  
Service Life ◽  
Failure Rate ◽  
System Modeling ◽  
New York State ◽  
Performance Model ◽  
Assessment System ◽  
Bridge Management ◽  
Normal Loading ◽  
Rate Analysis

A method for modeling the performance of large bridge components subjected to normal loading and deterioration effects using reliability engineering techniques is presented. Development of the method was motivated by the need to advance a practical performance model for large bridge rehabilitation decision analysis. The modeling scope includes three basic elements: performance assessment, system modeling, and failure rate analysis. Two fundamental assumptions of the developed performance model are that (a) bridge components are systems of independent critical elements and (b) each element’s failure rate is constant throughout its functional service life. The model is used to qualitatively assess the performance of bridge components with respect to reliability and enables the estimation of two important rehabilitation planning indices, functional service life and expected damage. An application of the model is illustrated in an example involving a comparative evaluation of the performance of two large bridge deck systems. The bridges selected have similar traffic, maintenance, and environmental conditions; however, they have significantly different design characteristics. It is concluded that the performance model provides a viable approach to qualitative and quantitative evaluation of bridge performance over time. The research efforts described are part of a larger, comprehensive project to develop and enhance the bridge management system of the New York State Thruway Authority.

Feasibility Assessment of Medium-Scale Anaerobic Digesters for Conversion of Brewery and Dairy Farm Waste Streams

2015 ◽  
Author(s):  
Swati Hegde ◽  
Jacqueline H. Ebner ◽  
Anahita A. Williamson ◽  
Thomas A. Trabold
Keyword(s):  
New York ◽  
Anaerobic Digestion ◽  
Capital Investment ◽  
New York State ◽  
Dairy Farm ◽  
Economic Feasibility ◽  
Electricity Production ◽  
City Region ◽  
Medium Scale ◽  
Feasibility Assessment

Anaerobic digestion (AD) involves the conversion of organic matter in the absence of oxygen to produce methane (CH4)-rich bio-gas that can be used for heating, vehicle fuel, or for generating electricity. The evolution of AD systems has historically followed two distinct paths: small residential-scale systems in the developing world to provide modest bio-gas resources for heating and cooking, and multi-million dollar facilities in the developed world for grid electricity production. However, there is a strong need to explore the possibility of applying AD technology in the medium-scale range (on the order of 100s of kW to 1 MW), which would be relevant to many farm installations and food processing plants that have significant organic waste resources. In this paper, technical and economic feasibility assessments have been conducted of two specific applications important to New York State: treatment of dairy farm resources in the Upstate region, and treatment of brewery and distillery waste in the New York City region where significant waste disposal barriers exist. In each case, a comprehensive analysis was first conducted of the available waste resources. Then, using data available in the open literature, an estimate of the total amount of renewable bio-gas that can be produced (bio-methane potential, BMP) was developed and used to compute the achievable size of a centralized AD system. For both the farm and brewery applications, it was determined that energy systems based on anaerobic digestion can be economically and environmentally viable, provided that ample organic resources are available, as well as incentives to offset the initial capital investment.

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