An ERP model for supplier selection in electronics industry

Asus Tech. is the largest motherboard manufacturer in Taiwan. Hundreds of suppliers cooperate with the company in business. So that supplier selection is the most important function of a purchasing department in the enterprise. An enterprise resource planning (ERP) system in the process of supplier selection may result in the great savings in both costs and man hours. In the concept of push and pull, an ERP system acts as an efficient tool in the resource integration and profit creation for a company. Through ERP, a decision manager can clearly realize the strength and weakness of the purchasing operation. To establish a real-time purchasing environment, a methodology of analytic network process (ANP), technique for order preference by similarity to ideal solution (TOPSIS) and linear programming (LP) are effectively applied in the supplier selection process. ANP and TOPSIS are used to calculate the weight and give suppliers a ranking; LP effectively allocates order quantity to each vendor. As to the result, four PC board suppliers are given orders for 1200, 727, 1000 and 73 pieces.     

基于静态贝叶斯博弈的风险评估方法研究

目前基于博弈论的风险评估方法大多数采用完全信息博弈模型,无法应对攻击者和防御者互不清楚对方行为的情况。基于静态贝叶斯博弈理论建立攻防博弈模型,将攻击者和防御者分为多种类型,全面地分析了博弈的贝叶斯均衡及其存在性,并结合防御者反击行为、攻击成功率对已有的策略收益量化方法进行改进。基于博弈均衡进行攻击行为可信预测,给出了风险评估算法对信息系统所存在的风险进行计算,得到系统风险值。最后,通过一个实例分析验证了模型和算法的有效性。     

A green supplier selection model for high-tech industry

With growing worldwide awareness of environmental protection, green production has become an important issue for almost every manufacturer and will determine the sustainability of a manufacturer in the long term. A performance evaluation system for green suppliers thus is necessary to determine the suitability of suppliers to cooperate with the firm. While the works on the evaluation and/or selection of suppliers are abundant, those that concern environmental issues are rather limited. Therefore, in this study, a model for evaluating green suppliers is proposed. The Delphi method is applied first to differentiate the criteria for evaluating traditional suppliers and green suppliers. A hierarchy is constructed next to help evaluate the importance of the selected criteria and the performance of green suppliers. Since experts may not identify the importance of factors clearly, the results of questionnaires may be biased. To consider the vagueness of experts’ opinions, the fuzzy extended analytic hierarchy process is exploited. With the proposed model, manufacturers can have a better understanding of the capabilities that a green supplier must possess and can evaluate and select the most suitable green supplier for cooperation.     

一种选择制造业信息系统应用的决策模型

给出一种选择制造业信息系统（IS）应用的决策模型，该模型基于系统的关联性原理，即各种IS应用之间相互关联有机结合而产生协同效应，使得总体功能大于各应用功能之和，利用层次分析法（AHP）对IS应用进行初始排序，建立处理协同效应与资金分配的数学模型，通过模型求解确定应加以引进的IS应用集合，并确定它们的实施顺序，给出一个分析实例来说明决策模型的使用方法。     

战时运输风险评估模型及其路径优化研究

针对战时运输路径优化问题,为合理地评估运输风险和有效地选择最优运输路径,提出了风险系数评估模型和多目标路径优化模型。由于运输网络符合复杂网络特性,基于复杂网络分析运输网络中的节点重要性,并结合战场距离的影响,建立运输网络节点风险系数评估模型;根据节点风险系数及路段行驶时间,提出了风险时间的概念来衡量路段的风险值,再通过专家决策运输时间和风险时间的综合权值,建立运输路径多目标优化模型,最后运用优化的Dijkstra算法求解最优运输路径。经过实验仿真分析,该方法在战时运输路径优化问题上具有可行性。     

基于PRA的电子商务安全风险评估模型

目前,对电子商务的风险评估还没有统一的标准.基于电子商务的安全体系结构层次,用概率风险评估方法对各层的结构、网络攻击和攻击结果进行分析,通过故障树来计算每层被攻击者攻击的可能以及风险发生的概率,最后得出总的风险值.把概率风险评估模型应用在电子商务系统中,能够较好的求出系统的风险程度.     

Shared computer-aided structural design model for construction industry (infrastructure)

The current interaction between participants in a construction project requires much time and is often a cause of mistakes and misunderstandings. Improvement of this interaction may therefore contribute to an improvement of the construction process as a whole. The lack of interoperability is the main problem behind such interaction drawbacks. In this paper, an infrastructure for a technology transfer model, namely Shared Computer-Aided Structural Design (sCAsD) model, is developed. It is built upon three basic building blocks: the Standard for the Exchange of Product Model Data (STEP, ISO-10303) Parts 104 and 107, the CIMsteel Integration Standard (CIS/2.0) resources, and the Industry Foundation Classes (IFC) standard that is being developed by the International Alliance for Interoperability (IAI). The sCAsD model is an extension for the structural domain/view of the IFC model, providing professional standardization within the synergy effect of the IFC. The model infrastructure is explained and discussed in terms of model schemata. In addition, model feasibility is studied within two assessments for model schemata and model realization in the construction industry. The former assessment has verified the robustness and effectiveness of the model through using a model interface in data handling within an application of an integrated earthquake simulation. Meanwhile, the assessment of model realization has validated the roadmap of model implementation in the construction industry through IAI. The model has been accepted as a formal IAI project, namely ST-7, and is being supported by IAI Japan chapter.     

Automation in the construction industry

The effective use of automation is one of the greatest opportunities, as well as one of the greatest challenges, facing the construction industry. The major components of an automation strategy, as considered in this paper, are computer-aided engineering and design (CAE/CAD), computerized data bases, feedback of as-built data, automated materials handling, artificial intelligence, and robotics. This paper first describes the current state of the art of robotics in construction and of artificial intelligence in its future role as the guidance mechanism in robots and its current stand-alone role in the form of expert systems. Then it discusses the central role of the computerized project data base in the integration of project design, construction, and operation. In addition, the paper examines the benefits from the increased use of information technology and automation in construction, the institutional barriers to the development and introduction of this technology by the U.S. construction industry, and the technologies that need to be developed in order to implement successfully computer technology in construction.     

A deterministic model selection scheme for incremental RBFNN construction in time series forecasting

This paper presents a fast and new deterministic model selection methodology for incremental radial basis function neural network (RBFNN) construction in time series prediction problems. The development of such special designed methodology is motivated by the problems that arise when using a K-fold cross-validation-based model selection methodology for this paradigm: its random nature and the subjective decision for a proper value of K, resulting in large bias for low values and high variance and computational cost for high values. Taking into account these drawbacks, the proposed model selection approach is a combined algorithm that takes advantage of two balanced and representative training and validation sets for their use in RBFNN initialization, optimization and network model evaluation. This way, the model prediction accuracy is improved, getting small variance and bias, reducing the computation time spent in selecting the model and avoiding random and computationally expensive model selection methodologies based on K-fold cross-validation procedures.     

基于模糊评估的等级保护风险评估模型

针对信息系统风险评估中模糊性、不确定性的问题,提出了一种基于模糊评估的等级保护风险评估模型.依据等级保护标准,建立起层次化评估体系,规范风险因素的选取.同时,考虑到评估值可能出现模糊值、残缺值等情况,重新定义了模糊评语集合,使模型能够应对更复杂的风险评估问题.在此基础上,引入基于证据理论的模糊评估方法对各风险因素进行合成,减小不确定性并量化评估结果.通过实例表明该模型的有效性和广泛的应用价值.     

一种基于风险矩阵法的信息安全风险评估模型

信息安全风险等级的评定在信息安全风险管理中至关重要,量化风险数值依旧是当前评估领域的热点。将风险矩阵法引入信息安全风险评估,构建了以专家二维矩阵、Borda排序和层次分析法为评估流程的风险评估模型,将定性的过程定量化,提高了评估的客观性。最后以校控制与网络实验室为评估对象进行实例计算。     

基于贝叶斯网络的移动支付风险评估模型

随着信息技术和网络的迅猛发展,支付业务、技术及工具不断创新,移动支付的发展在逐渐加快。移动支付给人们生活带来方便和快捷的同时,也存在着较高的潜在风险,容易遭受非法入侵和恶意攻击。就移动支付风险的分析及风险值的计算理论方面开展工作,在贝叶斯网络的基础上,针对移动支付的主要组成主体,提出移动支付风险评估模型,通过使用该模型进行移动支付风险评估不仅可以对目前移动支付的风险进行评估,还可以根据风险评估结果引导风险控制,对比风险控制前后的风险值判断风险控制的效果,通过案例分析,提出的移动支付风险评估模型可以很好地完成移动支付的风险评估要求。     

Computer-aided engineering in the construction industry

With the advent of the advanced information society, the construction industry of Japan is transforming itself into a knowledge and information-intensive industry, supplying and maintaining architectural products. In doing so, the industry creates a total information system that can be used to improve the quality and productivity of architects. The system supporting this information structure is CAE, computer-aided engineering.Two applications of CAE, the land planning system for project planning, and the CAD system supporting architectural design functions, are described in this paper.     

A comprehensive fuzzy DEA model for emerging market assessment and selection decisions

The changing economic conditions have challenged many financial institutions to search for more efficient and effective ways to assess emerging markets. Data envelopment analysis (DEA) is a widely used mathematical programming technique that compares the inputs and outputs of a set of homogenous decision making units (DMUs) by evaluating their relative efficiency. In the conventional DEA model, all the data are known precisely or given as crisp values. However, the observed values of the input and output data in real-world problems are sometimes imprecise or vague. In addition, performance measurement in the conventional DEA method is based on the assumption that inputs should be minimized and outputs should be maximized. However, there are circumstances in real-world problems where some input variables should be maximized and/or some output variables should be minimized. Moreover, real-world problems often involve high-dimensional data with missing values. In this paper we present a comprehensive fuzzy DEA framework for solving performance evaluation problems with coexisting desirable input and undesirable output data in the presence of simultaneous input–output projection. The proposed framework is designed to handle high-dimensional data and missing values. A dimension-reduction method is used to improve the discrimination power of the DEA model and a preference ratio (PR) method is used to rank the interval efficiency scores in the resulting fuzzy environment. A real-life pilot study is presented to demonstrate the applicability of the proposed model and exhibit the efficacy of the procedures and algorithms in assessing emerging markets for international banking.     

机场建设区岩溶塌陷综合评价模型建立与实现

我国西部地区山高路险、交通不便,在国民经济高速发展的今天,航空运输就成了最迫切需要的交通工具。在机场建设工程中,场区的工程地质勘察及稳定性评价直接影响机场的设计及机场将来的可持续运转,如地质条件复杂的昆明小哨机场场区岩溶发育,溶洞、漏斗星罗棋布,成为造成机场安全隐患的重大因素,必须做出科学的评估和预警。根据该机场工程地质勘察资料以及野外现场调查,在充分研究地质灾害评价常用的AHP法基础上,针对本地区特殊的岩溶地质条件,探索性地设计了一种单因素叠置分析和动态加权综合评价相结合的岩溶塌陷预警综合评价方法,并建立了相应的数学模型。采用GIS技术设计算法和实现评估区空间预警,为科学的评估岩溶塌陷提供了一种新的思路。     

Risk assessment model of mining equipment failure based on fuzzy logic

The systematic maintenance of mining machinery and equipment is the crucial factor for the proper functioning of a mine without production process interruption. For high-quality maintenance of the technical systems in mining, it is necessary to conduct a thorough analysis of machinery and accompanying elements in order to determine the critical elements in the system which are prone to failures. The risk assessment of the failures of system parts leads to obtaining precise indicators of failures which are also excellent guidelines for maintenance services. This paper presents a model of the risk assessment of technical systems failure based on the fuzzy sets theory, fuzzy logic and min–max composition. The risk indicators, severity, occurrence and detectability are analyzed. The risk indicators are given as linguistic variables. The model presented was applied for assessing the risk level of belt conveyor elements failure which works in severe conditions in a coal mine. Moreover, this paper shows the advantages of this model when compared to a standard procedure of RPN calculating – in the FMEA method of risk assessment.