This paper develops the presented method by Yan et al. [Eur. J. Operat. Res. 136 (2002) 19]. In this paper, by using inverse data envelopment analysis model, a method to estimate output levels of a decision making uni...
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This paper develops the presented method by Yan et al. [Eur. J. Operat. Res. 136 (2002) 19]. In this paper, by using inverse data envelopment analysis model, a method to estimate output levels of a decision making unit is presented when some or all of its input entities are increased and its current efficiency level is improved. (C) 2002 Elsevier Inc. All rights reserved.
The Tomahawk Land-Attack Missile (TLAM) is the long-range precision weapon of choice in strike warfare against strategic targets for U. S. military forces. Predesignation is the process of determining which ship or su...
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The Tomahawk Land-Attack Missile (TLAM) is the long-range precision weapon of choice in strike warfare against strategic targets for U. S. military forces. Predesignation is the process of determining which ship or submarine will fire which TLAM missiles in support of an authorized attack upon specified targets. This thesis revisits the mathematical models and algorithms developed by previous NPS faculty and students to optimally conduct the allocation of TLAMs to firing units. We incorporate all the problem specifications addressed by previous heuristic algorithms for the problem, and compare our results to those in publicly available test cases. We show that our models can be solved optimally in affordable time for most of the cases and make provisions to establish accurate bounds in the other cases.
This paper proposes the concepts of generalized αk-major efficient solutions and generalized αk- major optimal solutions for multi-objective programming, and studies their some important properties.
This paper proposes the concepts of generalized αk-major efficient solutions and generalized αk- major optimal solutions for multi-objective programming, and studies their some important properties.
The basic structure of a water supply dispatching system is proposed based on Case-Based Reasoning. The hydraulic model of pine network, the attributes to describe cases and a dispatching method based on genetic algor...
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ISBN:
(纸本)9787810545006
The basic structure of a water supply dispatching system is proposed based on Case-Based Reasoning. The hydraulic model of pine network, the attributes to describe cases and a dispatching method based on genetic algorithm for case revising is discussed in detail. Finally, the numerical example is given. The computation results show that the CBR-based dispatching system has great applicable potential for large scale of old Industrial cities.
Pricing discrimination, inventory control and overbooking are important components of Revenue Management System, and have been widely used in service industries. While the objective of Revenue Management (RM) has been...
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Pricing discrimination, inventory control and overbooking are important components of Revenue Management System, and have been widely used in service industries. While the objective of Revenue Management (RM) has been achieved and short-term revenue has been maximized, customers usually feel unfair because of pricing discrimination and overselling, so that a lot of customers are stolen away by competitors. As a result, long-term revenue decreases. Therefore, effective Revenue management requires a clear understanding of customer value. Both Customer Relationship Management (CRM) and RM have an impact on accurate decision of service industries. This paper will compare and analyze their effects, and then integrate CRM with RM. We will further bring forward some strategies to improve customer satisfaction and discuss how to bring up customer loyalty. We finally apply fuzzy expected price and the multi-objective programming model to customer behaviors in order to gain the balance between revenue maximization and customer satisfaction.
Previous research has established a need for operations research models to help urban public housing authorities (PHAs) in the U.S. better manage the transition from the traditional model of high-rise public housing d...
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Previous research has established a need for operations research models to help urban public housing authorities (PHAs) in the U.S. better manage the transition from the traditional model of high-rise public housing developments to tenant-based housing subsidies for market-rate rental units and project-based housing subsidies for scattered-site, low-density public housing. This paper presents the tenant-based subsidized housing location model (TSHLP) that is simplified and applied to a larger and more representative data set than has been done previously. Base-case and sensitivity analyses indicate that model solutions, which are approximations to a Pareto frontier of nondominated potential family allocations, give planners considerable flexibility in choosing alternative housing configurations that can satisfy the needs of various interest groups.
Congestion is one of the most significant problems facing urban regions. It is well recognized that congestion is largely a by-product of the work commute, suggesting spatial imbalances in the locations of jobs relati...
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Congestion is one of the most significant problems facing urban regions. It is well recognized that congestion is largely a by-product of the work commute, suggesting spatial imbalances in the locations of jobs relative to the location of housing. While jobs-housing imbalances persist in most urban areas, research indicates that associated commuting (and congestion) tends to be more than it need be. Addressing these issues, we extend the classic transportation problem to deal with regional jobs-housing imbalances. Application results are presented using journey-to-work data for the Atlanta metropolitan region. Several scenarios are evaluated, demonstrating the inherent flexibility of this modelling approach in addressing the long-term management of congestion. Our results show that policies affecting the distribution of workers are more likely to decrease commuting, as opposed to policies aimed at altering the distribution of jobs. The model may be used as a strategic tool to guide land use decisions aimed at addressing jobs-housing balance, which may ultimately ameliorate the effects of congestion, emissions and related externalities.
Business Process Re-engineering (BPR) is the philosophy which re-designs the existing processes according to the requirement of internal processes and external customers. But there was not an efficient model for enter...
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ISBN:
(纸本)0780379527
Business Process Re-engineering (BPR) is the philosophy which re-designs the existing processes according to the requirement of internal processes and external customers. But there was not an efficient model for enterprise reconstructions. Quality Function Deployment (QFD) offers strengths complementary to BPR and it provides a new way to analyze BPR. Traditionally, QFD approach has been used as a tool for defining new products, as well as for improving existing products. In substance, QFD builds the relationship between "target" (what to do) and "measure" (how to do). In this paper, we introduce QFD methodology to implement BPR. A BPR waterfall model and a three-dimensions BPR house, which based QFD methodology, are presented to perform BPR.
This paper gives an overview of meta-heuristics methods utilized within the paradigm of multi-objective programming. This is an area of research that has undergone substantial expansion and development in the past dec...
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This paper gives an overview of meta-heuristics methods utilized within the paradigm of multi-objective programming. This is an area of research that has undergone substantial expansion and development in the past decade. A literature review for this period is presented and analyzed. Analysis of the types of multi-objective techniques and meta-heuristics is undertaken and reasons for their use hypothesized. The strengths and weaknesses of meta-heuristic methods as applied to multi-objective programmes are discussed. Finally, a summary is given together with suggestions for future research. (C) 2002 Elsevier Science B.V. All rights reserved.
Fisheries management is typically a complex problem, from both an environmental and political perspective. The main source of conflict occurs between the need for stock conservation and the need for fishing community ...
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Fisheries management is typically a complex problem, from both an environmental and political perspective. The main source of conflict occurs between the need for stock conservation and the need for fishing community well-being, which is typically measured by employment and income levels. For most fisheries, overexploitation of the stock requires a reduction in the level of fishing activity. While this may lead to long-term benefits (both conservation and economic), it also leads to a short-term reduction in employment and regional incomes. In regions which are heavily dependent on fisheries, short-term consequences of conservation efforts may be considerable. The relatively high degree of scientific uncertainty with respect to the status of the stocks and the relatively short lengths of political terms of office, generally give rise to the short-run view taking the highest priority when defining policy objectives. In this paper, a multi-objective model of the North Sea is developed that incorporates both long-term and short-term objectives. Optimal fleet sizes are estimated taking into consideration different preferences between the defined short-term and long-term objectives. The subsequent results from the model give the short-term and long-term equilibrium status of the fishery incorporating the effects of the short-term objectives. As would be expected, an optimal fleet from a short-term perspective is considerably larger than an optimal fleet from a long-run perspective. Conversely, stock sizes and sustainable yields are considerably lower in the long-term if a short-term perspective is used in setting management policies. The model results highlight what is essentially a principal-agent problem, with the objectives of the policy makers not necessarily reflecting the objectives of society as a whole. (C) 2002 Elsevier Science Ltd. All rights reserved.
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