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ASME 2010 Joint Rail Conference

作者： Niu, Yong-Tao Han, Bao-Ming Liu, Min Zhu, Qing-Lan Beijing Jiao Tong Univ Sch Traff & Transportat Beijing Peoples R China

ISBN: (纸本)9780791849071

In order to meet the demand of passengers for travelling and make their travelling more convenient, the railway operator must ascertain the operational train number, section, classes, stop stations and appropriate departure and arrival stations for passenger trains. The nodes of railway passenger transport are the generation and attraction points of passenger flow in the railway transport network. Starting from the analysis of the economic and social attributes as well as railway resource allocation of the Passenger Dedicated Railway Line (PDRL) covered nodes, this paper introduces the concept of the importance of nodes. On the basis of analytical hierarchy process (AHP), the paper studies the quantitative index of the nodes transport distribution capacity in the PDRL network and calculates the evaluation indexes of importance of those city nodes. Thus, in the light of the assessment results, the paper sets up the three-level hierarchy in the importance of city nodes covered by the PDRL. Based on that, the paper proposes that the first-level nodes serve as the departure and arrival stations, the second-level nodes adopt the fluid and alternate stop stations, and the tertiary-level nodes take the form of "all-stop" for low-class trains so as to build a multi-objective programming model for the PDRL train line planning. With the lingo 8.0 program, the train line planning optimizes the calculation of stop stations. This method has been applied in the PDRL train line planning of Wuhan-GuangZhou High-Speed Railway Line and proved to be effective in reducing the complexity of the train line planning problem according to different modes of passenger flow.

关键词： High Speed Rail Corridor Train Line Planning Importance of Nodes AHP multi-objective programming Train Stopping Pattern

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Integrated Supply Chain Management by multiple objective programming

Integrated Supply Chain Management by Multiple Objective Pro...

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2010 2nd IEEE International Conference on Information Management and Engineering(2010年IEEE第二届信息管理与工程国际会议 IEEE ICIME 2010)

作者： Chengdong Shi Dunxin Bian School of Electrical and Electronic EngineeringShandong University of TechnologyZibo Shandong 2550 School of Electrical and Electronic Engineering Shandong University of Technology Zibo Shandong 25

At present, supply chain management has become not only a hot academic research, but also an important respect of the enterprise strategic management. A multiproduct, multistage integrated supply chain management model was established by multipleobjective programming, which could describe the capability and profit of supply chain members and the coordination operation of supply chain. Then an example was given for testing the effectiveness and feasibility of the model, and the simulation result was compared with that of decentralization supply chain management model. The example shows that multiple objective programming can solve the problem of integrated supply chain management.

关键词： integrated supply chain multi-objective programming management model decentralization supply chain

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AN ENHANCED DEA METHOD FOR GROUP EVALUATION - THE EMPIRICAL STUDY OF ANTI-PHISHING EFFICIENCY

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INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL 2010年第11期6卷 4869-4878页

作者： Kao, Han-Ying Hsu, Chu-Ling Huang, Chia-Hui Natl Dong Hwa Univ Inst Networking & Multimedia Technol Shoufeng Hualien Taiwan Kaman Univ Dept Informat Management Tao Yuan 33857 Taiwan

This study proposes a reformed data envelopment analysts (DEA) approach for group evaluation In the setting where multiple reviewers ale involved and who mea sure all factors independently, how to synthesize the results is a critical issue This work develops the enhanced DEA model with multiple objective programming (MOP) formulation for integrating the outcomes Based on general DEA methods, the first objective function is to maximize the average efficiency from all reviewers Because the mean efficiency tends to converge on the favorable score, we define a balancing objective to min maze the total deviation from the consensus The case study of anti phishing efficiency shows the proposed model's feasibility in obtaining consensus from group evaluation

关键词： Data envelopment analysis multi-objective programming Group evalualion Anti phishing

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Dynamic pricing model for new/used products in the processing of closed-loop supply chain operation

Dynamic pricing model for new/used products in the processin...

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22nd Chinese Control and Decision Conference

作者： Xu, Jiawang Zhu, Yunlong Jiang, Bo Shenyang Aeronaut Engn Inst Sch Econ & Management Shenyang 110004 Peoples R China Chinese Acad Sci Shenyang Inst Automat Shenyang 110016 Peoples R China

ISBN: (纸本)9781424451821

From the view of operation researches, the operation problem for a class of closed-loop supply chain system with one manufacturer and one supplier is considered. Demands of ultimate products and collecting quantity of used products are described by using prices and reference prices, a non-linear dynamic pricing model for new/used products in the processing of this system operation is established. The model is constructed as a dynamic programming problem and satisfying several conflict objectives, such as the operating coordination of system, making the maximum profit of all participants as much as possible. The model's validity to dynamic pricing for closed-loop supply chain system is verified by a numerical example. The results of the numerical example shows that, in the long run, through the regulations of price itself and price reference effect, the price of ultimate product and the collecting price of used product fix to a certain value without reference to the initial price of ultimate product and the collecting price of used product.

关键词： Operation researches Closed-loop supply chain Pricing policy multi-objective programming

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Regional Higher Education Resource Allocation Pareto Equilibrium Analysis

Regional Higher Education Resource Allocation Pareto Equilib...

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2010 2nd International Conference on Intellectual Technology in Industrial Practice (ITIP2010)

作者： Qu Wen-jian School of Information Engineering Nanchang University School of Information Management Jiangxi University of Finance and Economics Nanchang, ChinaXu Feng School of Information Management Jiangxi University of Finance and Economics Nanchang, ChinaTan Guang-xing School of Information Management Jiangxi University of Finance and Economics Nanchang, ChinaLiu Zheng-hui School of Information Management Jiangxi University of Finance and Economics Nanchang, China

Due to the economic spillover effect in Higher Education, thus higher education can not be fully market-oriented. There is market failure in the economy of higher education from the perspective of whether demand or supply, it is impossible to achieve the situation of Pareto optimal allocation for the higher education resources rely solely on fund allocation. In view of this, this paper present a multi- objective programming model for balanced allocation of resources in china regional higher education, and we used the Pareto genetic algorithm to get the solution of the model. The method does not need artificial weighting factors, it is a natural evolutionary calculation method. We explored the Pareto Equilibrium configuration for regional higher education resources. We analyzed the sensitivity of the model by using the cost-benefit approach. The results show that this paper's approach is a generally applicable and easy way for the achievement of the regional higher education resources in a balanced situation.

关键词： Resource Allocation multi-objective programming Pareto Genetic Algorithm.

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Decision-maker's Preferences Modelling within the Goal-programming Model: A New Typology

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JOURNAL OF multi-CRITERIA DECISION ANALYSIS 2009年第5-6期16卷 163-178页

作者： Aouni, Belaid Hassaine, Amal Martel, Jean-Marc Laurentian Univ Sch Commerce & Adm Decis Aid Res Grp Fac Management Sudbury ON P3E 2C6 Canada Univ Tlemcen Fac Sci Econ & Gest Tilimsen Algeria Univ Laval Fac Sci Adm Ste Foy PQ Canada

Several classifications of the multiple objectives programming (MOP) models have been proposed in the literature. In general, these classifications are based on the timing of introducing the decision-maker's (DM) preferences and the type of the required information about the parameters of the decision-making situation. The DM's preference information can take different forms such as: weights, priority levels, thresholds or trade-offs among the objectives. The Goal programming (GP) is one of the well-known MOP models. The different GP formulations deal differently with the DM's preferences. The aim of this paper is to propose a new typology of the GP variants based on the way that the DM's preferences are considered. Copyright (C) 2010 John Wiley & Sons, Ltd.

关键词： goal programming multi-objective programming decision-maker's preferences typology

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Solving the bi-objective multi-dimensional knapsack problem exploiting the concept of core

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APPLIED MATHEMATICS AND COMPUTATION 2009年第7期215卷 2502-2514页

作者： Mavrotas, George Figueira, Jose Rui Florios, Kostas Natl Tech Univ Athens Athens 15780 Greece Univ Tecn Lisboa Inst Super Tecn Ctr Management Studies Univ Paris 09LAMSADECEG IST P-2780990 Porto Salvo Portugal

This paper deals with the bi-objective multi-dimensional knapsack problem. We propose the adaptation of the core concept that is effectively used in single-objective multi-dimensional knapsack problems. The main idea of the core concept is based on the "divide and conquer" principle. Namely, instead of solving one problem with n variables we solve several sub-problems with a fraction of n variables (core variables). The quality of the obtained solution can be adjusted according to the size of the core and there is always a trade off between the solution time and the quality of solution. In the specific study we de. ne the core problem for the multi-objective multi-dimensional knapsack problem. After de. ning the core we solve the bi-objective integer programming that comprises only the core variables using the multicriteria Branch and Bound algorithm that can generate the complete Pareto set in small and medium size multi-objective integer programming problems. A small example is used to illustrate the method while computational and economy issues are also discussed. Computational experiments are also presented using available or appropriately modified benchmarks in order to examine the quality of Pareto set approximation with respect to the solution time. Extensions to the general multi-objective case as well as to the computation of the exact solution are also mentioned. (C) 2009 Elsevier Inc. All rights reserved.

关键词： Knapsack multi-dimensional multi-objective programming Core

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A methodology for assessing eco-efficiency in logistics networks

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EUROPEAN JOURNAL OF OPERATIONAL RESEARCH 2009年第3期193卷 670-682页

作者： Frota Neto, J. Quariguasi Walther, G. Bloemhof, J. van Nunen, J. A. E. E. Spengler, T. Erasmus Univ Rotterdam Sch Management RSM NL-3000 DR Rotterdam Netherlands Tech Univ Carolo Wilhelmina Braunschweig Inst Econ & Business Adm Braunschweig Germany

Recent literature on sustainable logistics networks points to two important questions: (i) How to spot the preferred solution(s) balancing environmental and business concerns? (ii) How to improve the understanding of the trade-offs between these two dimensions? We posit that a visual exploration of the efficient frontier and trade-offs between profitability and environmental impacts are particularly suitable to answer these two questions. The visual representation of the efficient frontier, however, presents two challenges. The first is to obtain a good approximation for such frontier without enumerating all extreme efficient solutions. The second is to obtain a good visual representation of the efficient frontier. We propose a two-phased heuristic to handle these two problems. The algorithm is designed for the multi-objective linear problem with three objectives: minimize costs, cumulative energy demand and waste in a reverse logistics network. We illustrate our approach by designing a complex recycling logistics network in Germany. (C) 2007 Elsevier B.V. All rights reserved.

关键词： Eco-efficiency Sustainable supply chains Closed-loop supply chains multi-objective programming Optimization

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An integrated decision support system dealing with qualitative and quantitative objectives for enterprise software selection

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EXPERT SYSTEMS WITH APPLICATIONS 2009年第3期36卷 5272-5283页

作者： Sen, Ceyda Guengoer Barach, Hayri Sen, Selcuk Basligil, Hueseyin Yildiz Tech Univ Dept Ind Engn TR-34349 Istanbul Turkey Audio Elect Prod Dept TR-81260 Istanbul Turkey

Previous methods for enterprise software selection generally take into account the attributes that are restricted to some financial factors, such as costs and benefits. However, the literature lacks studies on considering the evaluation of both functional and non-functional suitability of software alternatives versus various requirements. This study presents a new decision support system for combining these two kinds of evaluation to select suitable enterprise software. A hierarchical objective structure that contains both qualitative and quantitative objectives is proposed to evaluate software products systematically. This approach uses a heuristic algorithm, a fuzzy multi-criteria decision making procedure and a multi-objective programming model to make final selection decision. All the phases of presented method are applied in an electronic company's ERP software selection project to validate it with a real application. The satisfactory results are obtained during this project. The company can select the right software to fit its business processes instead of adapting its business processes to fit the software. (C) 2008 Elsevier Ltd. All rights reserved.

关键词： Enterprise software selection Qualitative and quantitative objectives Fuzzy multi-criteria decision making procedure multi-objective programming ERP

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Solving the multi-criteria time-dependent routing and scheduling problem in a multimodal fixed scheduled network

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EUROPEAN JOURNAL OF OPERATIONAL RESEARCH 2009年第1期192卷 18-28页

作者： Androutsopoulos, Konstantinos N. Zografos, Konstantincis G. Athens Univ Econ & Business Transportat Syst & Logist Lab Dept Management Sci & Technol Athens 11362 Greece

multi-criteria routing and scheduling in a multimodal fixed scheduled network with time-dependent travel times involves the determination of the non-dominated itineraries (i.e., paths enhanced with scheduled departures) under the following constraints: (i) visiting a given set of intermediate stops in a specified sequence, and (ii) strict time windows on the origin, the destination and the intermediate stops. The objective of this paper is to present the formulation and algorithmic solution for the multi-criteria itinerary planning problem that takes into account the aforementioned features. The algorithmic approach proposed is based on the decomposition of the problem to a sequence of elementary itinerary sub-problems, solved by a dynamic programming algorithm. The computational performance of the algorithms on a set of large scale test problems indicates non-prohibitive time requirements and encourages its integration into travel planning decision support systems. (C) 2007 Elsevier B.V. All rights reserved.

关键词： (B) Routing multi-objective programming Dynamic programming

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