一种有效的供应链绩效预测方法及其应用

从知识发现和数据挖掘的角度,利用粗糙集和支持向量回归机的理论和方法,建立了基于粗糙集和支持向量回归机相结合的供应链绩效预测模型。结合一个供应链绩效预测实例,首先对其基于平衡记分卡的指标体系进行了约简,然后将约简的评价指标输入到支持向量回归机中进行训练,构建预测模型,最后把预测的样本输入到模型中进行供应链绩效预测,预测结果与实际结果基本吻合。     

GA和SVM在供应链绩效评价中的应用

研究了基于遗传算法和支持向量机的供应链绩效评价问题。将供应链绩效评价问题用遗传算法进行特征选择并同时对支持向量机参数进行了优化。研究表明该方法能提取出影响供应链绩效的重要属性,减小供应链评价模型的复杂度。应用实例表明基于遗传算法和支持向量机的评价结果从整体上要优于标准支持向量机的评价结果。     

基于粗糙集的供应链绩效改进决策研究

从知识发现和数据挖掘的角度,利用粗糙集的理论和方法,建立了基于粗糙集的供应链绩效改进决策模型框架,并给出其中的指标约简方法和基于分辨矩阵计算指标权重的数学模型。最后结合一个制造业供应链绩效评价实例,首先对其基于平衡记分卡的指标体系进行了约简,然后建立了基于粗糙集的供应链绩效改进决策模型,确定了指标的客观权重。并对结果进行了分析,提出了绩效改进决策意见和措施。     

单类支持向量机融合深度自编码器的异常检测模型

大规模高维不平衡数据是异常检测中的重大挑战.单类支持向量机在处理不平衡数据方面非常有效,但不适合大规模高维数据,同时单类支持向量机的核函数对检测性能也具有重要的影响.文中提出了一个深度自编码器与单类支持向量机相结合的异常检测模型,深度自编码器不仅负责提取特征和降维,同时拟合出了一个自适应核函数.深度自编码器与单类支持向...     

基于平衡计分卡的IT治理模型研究

企业在实施IT治理过程中,对于项目的评价、开发、实施以及维护,需要一种多指标的方法来进行目标分解。平衡记分卡可以帮助企业来分解目标,同时根据对于目标的绩效考察来驱动战略。首先介绍IT治理的概念、模型以及IT平衡记分卡的四个维度,接着提出了一个Cobit与IT平衡计分卡相结合的瀑布模型,解决了IT治理中的绩效评价问题,使得IT治理过程更加完善和成熟。     

供应链绩效模糊评价体系建模研究

针对供应链绩效难以评价的问题，结合供应链特点分析了影响绩效的主要因素，在供应链绩效评价原则的指导下，建立了一套多层次综合评价指标体系，在此基础上，基于模糊层次分析法，构建了供应链绩效评价的综合模型并给出了建模的具体步骤，最后以实例进行了相应的验证。     

基于FCM的企业供应链绩效动态评价方法研究*

为了克服传统供应链绩效评价方法缺少动态性、忽略评价因素间的相互作用关系的缺点,通过对模糊认知图（FCM）原理的探讨,结合企业供应链绩效评价标准,提出了基于FCM的企业供应链绩效动态方法,构建了企业供应链绩效评价模型,实现了对企业供应链绩效的动态评估,通过实例验证了该方法的可行性。     

基于多种核函数的SVM在垃圾邮件过滤中的应用

采用TF-IDF和Bernoulli两种模型构造邮件向量,首先详细测试了CHI降维策略对线性支持向量机进行邮件分类的影响。将基于核函数的支持向量机引入到垃圾邮件过滤中,对基于线性核、多项式核和径向基核的支持向量机在邮件分类中的准确率和训练时间进行了比较,分析了训练样本不平衡对分类的影响,并从理论上对实验结果进行了分析,实验结果证明基于径向基核函数的SVM分类器对垃圾邮件有较好的过滤效果。     

供应链协同管理的绩效评估

供应链协同管理是通过对供应链系统的人力、物力、资金及信息等资源的规划、组织和控制,来实现其目标。供应链协同管理的效果如何,可通过绩效评估进行检验,他是协同管理的一个重要环节。使用平衡积分卡、粗糙集中启发式属性约简的方法和BP神经网络的理论,探索建立了平衡积分卡、启发式属性约简和BP神经网络相结合的供应链协同管理的绩效评估模型。并结合一个实例,首先对其基于平衡记分卡的指标体系进行了约简,然后将约简的评价指标输入到BP神经网络中进行智能训练,最后把评估的样本输入到训练好的BP网络中得出供应链协同管理的绩效评估值,评估结果与实际结果基本吻合。     

基于支持向量机的航空发动机振动预测模型研究

提出了一种基于支持向量机的航空发动机振动参数预测方法.分析了支持向量机用于时间序列预测的基本理论,对时间序列进行了相空间重构,采用互信息法计算了延迟时间,运用平均一步绝对误差选取了嵌入维数,在此基础上建立了基于支持向量机的时间序列一步预测模型.应用某发动机飞参记录数据对发动机振动参数进行预测,预测精度比RBF神经网络更高.研究结果验证了应用支持向量机模型进行发动机参数预测的正确性和可行性.     

供应链管理下的企业效能评价模型研究

评价供应链管理的好坏,关键在于分析它为企业所带来的实际收益。依据平衡计分卡理论,构建供应链管理下的内在因果关系分析框架,表明学习与成长、供应链流程、顾客满意度和企业财务水平的相互联系,在此分析框架下,利用系统动力学模拟仿真的方法,探讨供应链整体运行效果和企业个体效能的关系,显示供应链协作时间的改进,经过因果链最终使企业利润发生多大程度的变动,这样,可以求解出供应链管理为企业所带来的实际效能,为企业实施供应链管理项目提供指导依据。     

一种供应链绩效评价新方法及其应用

利用平衡记分法建立供应链绩效评价指标体系,利用粗糙集理论对绩效评价体系进行约简,得到约简后的指标集后,使用基于信息熵的多属性评价方法对供应链绩效进行评价和排序,以便决策者参考。经过实证分析,证明该方法是有效的供应链绩效评价方法。     

基于粗糙集和神经网络的供应链绩效预测研究

文章从知识发现和数据挖掘的角度,利用粗糙集和BP神经网络的理论和方法,建立了基于粗糙集和BP神经网络相结合的供应链绩效预测模型。并结合一个供应链绩效预测实例,首先对其基于平衡记分卡的指标体系进行了约简,然后将约简的评价指标输入到BP神经网络中进行智能训练,最后把预测的样本输入到训练好的BP网络中得出供应链绩效的预测值,预测结果与实际结果基本吻合。     

基于BSC的贸易供应链信息系统绩效评价指标体系构建

信息系统的绩效通常具有间接性和滞后性,以往的评价方法侧重于财务角度,缺乏全局性和系统性。为此,建立了一种以平衡计分卡为基础的贸易供应链信息系统绩效综合评价指标体系。     

A hierarchical model of the impact of RFID practices on retail supply chain performance

The primary purpose of this study was to evaluate the impact of radio frequency identification (RFID) practices on supply chain performance. We examined eight variables of RFID applications grouped in two categories: location (supplier’s warehouse, retailer’s central warehouse, retailer’s local warehouse, retailer’s owned stores) and utilisation (standards, transportation, pallet level, specialised software). Given the inherent difficulty in assessing supply chain performance and the widespread use of different performance models, such as the SCOR and balanced scorecard, we developed a list of performance indicators. Factor analysis produced 7 supply chain performance factors: supplier, inventory, distribution, ordering, plan, sales, and forecasting.Empirical data were collected via an online survey administered to 300 retail companies. 130 usable questionnaires were returned, for a 43.3% response rate. To the best of our knowledge, this is the first study to provide an analytical model that places supply chain performance indicators as dependent variables in a hierarchical regression equation with RFID variables as independent variables. Results found that the implementation of RFID practices significantly affect the supply chain performance in the following areas: supplier, inventory, distribution, plan, sales, and forecasting. RFID can improve the performance of distribution systems, including products dispatched and inventory in transit by 33.8% and stock availability by 45.6%. This study contributes to both the RFID and the supply chain performance literatures. Limitations and suggestions for further research are also discussed.     

A hierarchical design of case-based reasoning in the balanced scorecard application

A balanced scorecard (BSC) is a management decision tool intended to be the corporate performance measurement. It also can play an important role in transforming an organization’s mission and strategy into a balanced set of integrated performance measures. Assigning suitable weight to each level of balanced scorecard is crucial to conduct performance evaluation effectively.In this research a case-based reasoning (CBR) system has been developed to assist in assigning the suitable weights. Based on the balanced scorecard design, this study proposed a three-level feature weights design to enhance CBR’s inference performance. For effective case retrieval, a genetic algorithm (GA) mechanism is employed to facilitate weighting all of levels in balanced scorecard and to determine the most appropriate three-level feature weights. The proposed approach is compared with the equal weights approach and the analytical hierarchy process (AHP) approach. The results indicate that the GA-CBR approach is able to produce more effective performance measurement.     

Using the FDM and ANP to construct a sustainability balanced scorecard for the semiconductor industry

This paper proposed a sustainability balanced scorecard (SBSC) framework to measure the sustainable performance of the semiconductor industry. Based on the principle of four perspectives of balanced scorecard (BSC), of which two were changed from the financial and customer perspectives to sustainability and stakeholder perspectives to deal the insufficiently addressed issue of corporate social responsibility. Twenty-five measures of sustainable performance were recognized through expert questionnaires and through the fuzzy Delphi method (FDM). Further, the relative weights of the selected measures were determined using the analytic network process (ANP). Results indicated that the five most important measures of sustainable performance were profitability (0.2528), green innovation and investment (0.1563), green image (0.1546), customer satisfaction (0.0799), and sustainability awareness of the top management (0.0516). Among these measures, the top three all belonged to the sustainability perspective, which comprised 56% of the overall weighting. The proposed SBSC framework can help Taiwanese semiconductor companies enhance their competitiveness in terms of sustainable operations is anticipated.     

Proposing a new integrated model based on sustainability balanced scorecard (SBSC) and MCDM approaches by using linguistic variables for the performance evaluation of oil producing companies

Using the balanced scorecard approach based on sustainable development parameters is a powerful and useful methodology to evaluate the sustainable performance of organization or company. In this paper, a new approach based on sustainability balanced scorecard (SBSC) and multi criteria decision making (MCDM) approaches is developed for evaluating the performance of oil producing companies in Iran. For reflecting the interdependent relationships among factors influencing the problem under consideration, analytical network process (ANP), a branch of the MCDM techniques, is employed. However, using the ANP method for calculating the preference ratings of alternatives is a time-consuming and bothersome process; therefore, COPRAS (COmplex PRoportional ASsessment) technique is adopted to prioritize the feasible alternatives in terms of linguistic variables. Based on this study, the results demonstrate the effectiveness of the proposed model. The performance evaluation model proposed by using a combination of the MCDM methods and the SBSC approach helps authorities to make an attempt for achieving a competitive advantage.