In order to determine the sort and amounts of spare parts for the long voyage vessel which is usually difficult, the paper firstly analyzes the characteristics of spare parts supply and maintenance on the sea. The...
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In order to determine the sort and amounts of spare parts for the long voyage vessel which is usually difficult, the paper firstly analyzes the characteristics of spare parts supply and maintenance on the sea. Then based on the theory of multiobjectiveprogramming and law of diminishing marginal returns, a multi-weighted optimization model for the storage of spare parts and its algorithm flowchart are designed. At last an example of calculation is also offered.
Due to the asymmetric distribution of coal supply and demand in the geographical, inter-regional transportation is the main way of coal supply now. This paper based on the inter-regional transportation coal analysis t...
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Due to the asymmetric distribution of coal supply and demand in the geographical, inter-regional transportation is the main way of coal supply now. This paper based on the inter-regional transportation coal analysis the principles that should be obey and factors need to consider. multi-objective programming method is used to establish site selection model under inter-regional transportation, synthetically consider- ing the cost of logistics, logistics operational capacity, the constraints of rail capacity, and using degree of objective concordance method to balance the relationship of multiple objectives, using maximization of the degree on objective concordance to select optimal location. Then through a numerical example to check whether this model is meaningful.
It is of great significance to generate a promising routine by the consideration of economic,environmental,safety,and energy consumption aspects simultaneously in the early stages of chemical process *** order to achi...
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It is of great significance to generate a promising routine by the consideration of economic,environmental,safety,and energy consumption aspects simultaneously in the early stages of chemical process *** order to achieve this goal,a method based on multi-objective programming is *** detailed models are *** integer linear programming(MILP) approach is used to solve this multi-objective *** method is demonstrated in the case study of polyvinylchloride(PVC) process *** of reaction routes are selected by using multi-objective *** results showed that ethane-propane steam cracking-balanced oxychlorination of ethylene-vinyl chloride suspension polymerization process is a promising *** not only results in chemical process that is safer and environmental conscious but also leads to reduced energy consumption and costs.
In this paper, we introduce a fuzzy mathematical programming with generalized fuzzy number as objective coefficients. We also examine a transportation problem with additional restriction. There is an additional entrop...
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In this paper, we introduce a fuzzy mathematical programming with generalized fuzzy number as objective coefficients. We also examine a transportation problem with additional restriction. There is an additional entropy objective function in the transportation problem besides transportation cost objective function. Using new fuzzy mathematical programming, this multi-objective entropy transportation problem with generalized trapezoidal fuzzy number costs has been reduced to a primal geometric programming problem. Pareto optimal solution of the transportation model is found. Numerical examples have been provided to illustrate the problem. (c) 2005 Elsevier B.V. All rights reserved.
Recently, a multi-objective model for locating the automatic vehicle identification (AVI) readers in a transportation network was proposed by the authors along with its solution procedure. The model locates the AVI re...
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Recently, a multi-objective model for locating the automatic vehicle identification (AVI) readers in a transportation network was proposed by the authors along with its solution procedure. The model locates the AVI readers by simultaneously considering three objectives: the equipment and installation cost (e.g. number of AVI readers), the coverage of the AVI system (e.g. number of origin-destination (O-D) pairs), and the amount/quality of travel information obtained (e.g. number of AVI readings). However, only a single travel demand pattern for a certain time period, such as the evening peak hour, was considered in determining the AVI reader locations. Therefore, the recommended AVI system may not be able to guarantee the amount of travel information gathered during other time periods. This study extends our previously proposed model by developing three scenario-based models to accommodate different travel demand patterns observed during the whole day. A case study is provided to illustrate the applicability of the new models and the robustness of the AVI system designed by considering different travel demand patterns.
Over the past 3 years, increased rates of mortgage foreclosures in the U.S. have resulted in widespread bankruptcies of financial institutions and massive losses of consumer wealth. The effects have been especially pr...
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Over the past 3 years, increased rates of mortgage foreclosures in the U.S. have resulted in widespread bankruptcies of financial institutions and massive losses of consumer wealth. The effects have been especially pronounced in economically vulnerable regions. In response, municipalities and community-based organizations provide a variety of services to mitigate the effects of foreclosures. Purchases of foreclosed properties represent a particularly attractive strategy because they have the potential to minimize blight, reduce unanticipated housing mobility, and to provide affordable homeownership opportunities. Since the cost of such purchases far exceeds the resources available in most urban centers, not-for-profit managers must solve the following decision problem: What subset of a large number of available foreclosed properties should be acquired for neighborhood stabilization and revitalization? In this paper, we present an extension of the multi-objective nonlinear knapsack problem to generate alternative portfolios of foreclosed multifamily rental properties to jointly optimize social benefits, social costs and equity. We apply our model to the Massachusetts city of Lowell, which has faced sharp increases in foreclosures since 2006. A subset of available Pareto-optimal solutions displays policy-relevant variation in decision space and objective space. We identify a promising compromise solution that places greatest emphasis on the goal of maximizing proximity of acquired units, and compare model results with strategies derived from heuristics inspired by real-life applications.
In this paper, we introduce several generalized convexity for a real-valued set function and establish optimality and duality results for a multi-objective programming problem involving generalized d-type-I and relate...
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In this paper, we introduce several generalized convexity for a real-valued set function and establish optimality and duality results for a multi-objective programming problem involving generalized d-type-I and related n-set functions. (c) 2005 Elsevier B.V. All rights reserved.
In this paper, an adaptive algorithm is designed for dynamic risk management in petroleum project investment based on a variable precision rough set (VPRS) model. In risk management, at each stage of decision-making, ...
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In this paper, an adaptive algorithm is designed for dynamic risk management in petroleum project investment based on a variable precision rough set (VPRS) model. In risk management, at each stage of decision-making, experts are invited to identify risk indices and support the decision-maker in evaluating the risk exposure (RE) of individual projects. The VPRS model is used to mine risk rules and determine the significance of risk indices from RE decision tables. Considering that there are multiple risks involved in any petroleum project investment, we use multi-objective programming to obtain the optimal selection of projects with minimum RE, where the significance of risk indices is assigned to each of the corresponding multi-objective functions as a weight. Moreover, we develop a risk ranking model to measure the degree of risk for individual projects in a portfolio. Finally, a numerical example based on a Chinese petroleum company's investments in overseas projects is presented to illustrate the proposed approach, and then conclusions are drawn. (C) 2010 Elsevier Inc. All rights reserved.
This paper is concerned with the invigilator-exam assignment problem. A web-based Automated Invigilator Assignment System (AIAS), consists of a mathematical model;a database storing the information and web-based user ...
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This paper is concerned with the invigilator-exam assignment problem. A web-based Automated Invigilator Assignment System (AIAS), consists of a mathematical model;a database storing the information and web-based user interfaces is constructed to solve the problem by providing an environment for a practical usage. The core of the system is the mathematical model developed for obtaining the exact solution. We conclude the paper by presenting a real-life problem solved by the proposed approach.
The semi-arid loess hilly-gully region in China has an extremely vulnerable ecological environment. Inappropriate land use - crop farming, overgrazing, and plantation forestry - has worsened soil erosion, intensified ...
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The semi-arid loess hilly-gully region in China has an extremely vulnerable ecological environment. Inappropriate land use - crop farming, overgrazing, and plantation forestry - has worsened soil erosion, intensified water shortage, and hence impeded the ecological conservation and agricultural development of the entire region in the past. Optimizing land use and vegetation cover and spatial pattern is conducive to achieving both ecological and economic goals in terms of controlling soil erosion, using water resources rationally and raising agricultural productivity. Changchuan Watershed, a typical small catchment in the semi-arid loess hilly region, was selected as the case study area to analyze the impacts of land use and land cover structure and associated spatial pattern on soil erosion and water consumption in the Watershed, through field investigation and model simulation. Land use structure was optimized by multi-objective programming, using remote sensing (RS) and geographical information system (GIS) techniques, analytic hierarchical programming (AHP) and expert consultancy. The digitized optimum spatial pattern embodying rationally-proportioned land use structure was obtained through GIS-aided redistribution of land use types. The optimized land use structure reapportioned woodlands, shrublands, grasslands, and croplands at 3.7%, 38.6%, 49.4%, and 6.3% of the land area respectively, compared to the current land use structure of 2.4%, 38.6%, 24.0%. and 12.6%, respectively, in the Changchuan Watershed. In the optimized land use spatial pattern, croplands are mainly located in the riverside plain and check-dammed valleys and grasslands are widely distributed in the lower reaches of the basin, while shrublands are appropriately established in the middle and upper reaches of the river. A comparative analysis shows that the optimized land use structure, with well-designed spatial pattern is able to reduce soil erosion, enhance the utilization of water resources
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