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1.
信息系统灾难恢复能力评估方法研究   总被引:1,自引:0,他引:1  
论文提出了一种信息系统灾难恢复能力评估方法:信息资产分析方法、本地灾难恢复和远程灾难恢复等级的划分方法,并在此基础上,利用AHP层次分析法,构建了一套灾难恢复能力评估指标体系。该方法可以使评估结果具有更好的针对性和全面性。  相似文献   
2.
用层次分析法(AHP)确定QFD中客户需求权重   总被引:10,自引:0,他引:10  
客户需求权重的确定是质量功能配置(QFD)实现过程中的重要一环,然而传统的确定权重的方法都有各自的缺陷。本文采用层次分析法(AHP)来确定客户需求的权重,首先建立了评价模型,并构造出比较判断矩阵,然后通过层次排序和一致性检验,最终获得了接近实际的客户需求权重结果。文章最后以某企业所生产的车床的客户需求为例,验证了用AHP法来确定QFD中客户需求权重的可行性。  相似文献   
3.
“To understand and protect our home planet, to explore the universe and search for life, and to inspire the next generation of explorers” is NASA's mission. The Systems Management Office at Johnson Space Center (JSC) is searching for methods to effectively manage the Center's resources to meet NASA's mission. D-Side is a group multi-criteria decision support system (GMDSS) developed to support facility decisions at JSC. D-Side uses a series of sequential and structured processes to plot facilities in a three-dimensional (3-D) graph on the basis of each facility's alignment with NASA's mission and goals, the extent to which other facilities are dependent on the facility, and the dollar value of capital investments that have been postponed at the facility relative to the facility's replacement value. A similarity factor rank orders facilities based on their Euclidean distance from Ideal and Nadir points. These similarity factors are then used to allocate capital improvement resources across facilities. We also present a parallel model that can be used to support decisions concerning allocation of human resources investments across workforce units. Finally, we present results from a pilot study where 12 experienced facility managers from NASA used D-Side and the organization's current approach to rank order and allocate funds for capital improvement across 20 facilities. Users evaluated D-Side favorably in terms of ease of use, the quality of the decision-making process, decision quality, and overall value-added. Their evaluations of D-Side were significantly more favorable than their evaluations of the current approach.  相似文献   
4.
Strengths, Weaknesses, Opportunities and Threats (SWOT) analysis does not provide an analytical means to determine the importance of the identified factors or the ability to assess decision alternatives according to these factors. Although the analysis successfully pinpoints the factors, individual factors are usually described briefly and very generally. For this reason, SWOT analysis possesses deficiencies in the measurement and evaluation steps. Although the analytic hierarchy process (AHP) technique removes these deficiencies, it does not allow for measurement of the possible dependencies among the factors. The AHP method assumes that the factors presented in the hierarchical structure are independent; however, this assumption may be inappropriate in light of certain internal and external environmental effects. Therefore, it is necessary to employ a form of SWOT analysis that measures and takes into account the possible dependency among the factors. This paper demonstrates a process for quantitative SWOT analysis that can be performed even when there is dependence among strategic factors. The proposed algorithm uses the analytic network process (ANP), which allows measurement of the dependency among the strategic factors, as well as AHP, which is based on the independence between the factors. Dependency among the SWOT factors is observed to effect the strategic and sub-factor weights, as well as to change the strategy priorities.  相似文献   
5.
Due to green legislations, industries track the used products through reverse logistics contractors. A reverse logistics programme offers significant cost savings in procurement, transportation, disposal and inventory carrying. Since reverse logistics operations and the supply chains they support are considerably more complex than traditional manufacturing supply chains, it can be offered to third party contractors. But availability of more number of contractors make evaluating and selecting the most efficient Reverse Logistics Contractor (RLC) a challenging task and treated as a multi-criteria decision making problem. In this paper, a hybrid method using Analytical Hierarchy Process (AHP) and the Fuzzy Technique for Order Preference by Similarity to Ideal Solutions (TOPSIS) is proposed. AHP is used to obtain the initial weights and Fuzzy TOPSIS is used to get the final ranking. A case study demonstrates the application of the proposed method. Finally sensitivity analysis is carried out to confirm the robustness.  相似文献   
6.
The aim of this study is to identify and prioritize the solutions of Knowledge Management (KM) adoption in Supply Chain (SC) to overcome its barriers. It helps organizations to concentrate on high rank solutions and develop strategies to implement them on priority. This paper proposes a framework based on fuzzy analytical hierarchy process (AHP) and fuzzy technique for order performance by similarity to ideal solution (TOPSIS) to identify and rank the solutions of KM adoption in SC and overcome its barriers. The AHP is used to determine weights of the barriers as criteria, and fuzzy TOPSIS method is used to obtain final ranking of the solutions of KM adoption in SC. The empirical case study analysis of an Indian hydraulic valve manufacturing organization is conducted to illustrate the use of the proposed framework for ranking the solutions of KM adoption in SC to overcome its barriers. This proposed framework provides a more accurate, effective and systematic decision support tool for stepwise implementation of the solutions of KM adoption in SC to increase its success rate.  相似文献   
7.
Course planning is one of the important problems in the education systems of universities. The processes cannot continue efficiently without planning, and various interruptions can appear in the system. This way decisions concerning which courses, when, how, and for what purposes should be answered by considering the available resources and stakeholders’ preferences. Besides, universities aiming to be in the European Higher Education Area (EHEA) have to adapt their systems to the Bologna process in order to create a lifelong student‐centered, learning‐oriented area based on quality assurance. In this study, an integrated approach based on the analytic hierarchy process (AHP) and multichoice goal programming (MCGP) model was proposed to construct an efficient course plan following the Bologna process. The proposed approach was applied in an industrial engineering department.  相似文献   
8.
运用AHP和云重心评价法的弹道导弹威胁评估   总被引:3,自引:0,他引:3  
弹道导弹技术的发展和应用,对我国的安全环境造成了严重的威胁,合理地运用科学方法对弹道导弹威胁进行评估,可为我国的弹道导弹防御系统的发展和建设提供辅助决策的科学依据.通过确定弹道导弹威胁评估指标集,综合AHP和云重心方法的有关知识,建立各指标的云模型及其多维加权综合云的重心表示;应用云重心评价法给出威胁度的定量评估值,结合实例分析得出:该方法评估弹道导弹威胁可减少人为主观判断引起的偏差,具有可操作性.  相似文献   
9.
AHP综合排序算法分析及其改进   总被引:2,自引:0,他引:2  
层次分析法(AHP)是分析多目标评价、多指标决策问题时的一种常用的算法工具,但是传统AHP在进行综合排序时,却存在一定的算法缺陷,AHP不能保持各方案之间的独立性,导致当某些方案的指标值或者备选方案数量发生变化时,即使在同一评价标准下,AHP法也不能始终保证方案的排序的一致.针对这一问题,分析了AHP产生排序不一致的具体原因,指出其算法会导致最底层相对重要值会随着方案的数量的增加逐渐减少.提出用各方案与理想方案之间的相对效用指标代替传统AHP的综合排序指标,以使其能够始终保持各方案排序的一致性.给出的算例验证新方法的有效性.  相似文献   
10.
基于模糊物元模型的区域水资源开发利用评价方法   总被引:1,自引:0,他引:1  
为客观评价区域的用水水平,采用基于欧式贴近度的模糊物元模型综合评价区域水资源开发利用程度.将灌区用水水平的不同阶段作为物元的事物,将各阶段的评价指标及其模糊量值作为复合模糊物元,通过计算复合模糊物元与标准物元之间的欧式贴近度,综合分析区域水资源的开发利用现状,确定区域用水水平,为水资源的进一步开发利用及合理配置提供决策依据.以宝鸡峡灌区为例,研究结果表明,宝鸡峡灌区的用水水平处于发展阶段,水资源开发利用已具有一定规模但仍有开发潜力.  相似文献   
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