共查询到20条相似文献，搜索用时 0 毫秒
1.
输入输出具有模糊数的供应商评价——基于DEA博弈交叉效率方法 总被引：5，自引：0，他引：5
在供应商全部输入输出值中,模糊数出现比例不大的情况下,提出首先将个别出现的模糊数进行去模糊化处理,然后基于DEA博弈交叉效率模型对供应商进行评价。所提出方法不仅克服了已有相关文献解不唯一的问题,考虑了供应商之间的竞争,还能处理非准确值,因此与已有文献相比,结果更具有说服力。所提出方法最后被应用于一个第三方物流服务供应商评价实例。 相似文献
2.
Guiwu Wei 《国际生产研究杂志》2013,51(23):7189-7193
In this note, we identify three major errors contained in Wu and Olson [Wu, D.D. and Olson, D., 2010. Enterprise risk management: a DEA VaR approach in vendor selection. International Journal of Production Research, 48 (16), 4919–4932]. It is shown that the ‘DEA VaR’ model named by the authors is not truly a Value-at-risk (VaR) minimisation problem. It is also pointed out that the authors confused two concepts of stochastic efficiency. Finally, it is revealed that the linearisation technique proposed by the authors is questionable under some conditions and a correction is suggested. 相似文献
3.
Rapid economic growth has led to increasing pollution emission, leading governments to require emission reductions by specific amounts. The allocation of specific emission reduction tasks has become a significant issue and has drawn the attention of academia. Data envelopment analysis (DEA) has been extended to construct the allocation of emission reduction tasks model. These previous DEA-based approaches have strong assumptions about individual enterprise production. In this paper, we propose a new method to accurately assess the production, using each enterprise’s previously observed production to construct its own production technology plan. With emission permits decreased, the enterprise can have new production strategy based on its own technology. Assuming emission permits can be freely bought and sold, we show how each enterprise can determine the optimal amount of emission allowance that should be used for production, which may leave some allowance to be sold for extra profit or may require the purchase of permits from other firms. Considering the limitation on the total allowance from emission permits, we introduce the concept of satisfaction degree and use it in maximising the minimum enterprise satisfaction degree. Last, a numerical example is presented and an empirical application is given to verify the proposed approach. 相似文献
4.
产品包装方案的评价是一个多目标规划问题.应用数据包络分析原理(DEA),通过对包装设计方案的横向比较,构建产品包装方案的评价模型.采用两步法对评价模型求解,首先对输入变量进行比例收缩(或对输出变量进行比例扩张),求出各方案的相对效率;然后计算各方案每项指标的松弛变量.结合包装行业的特点,将越小越好的指标作为输入指标、越大越好的指标作为输出指标,建立了相应的输入输出指标体系. 相似文献
5.
Sipke van Manen Ed Brandt Jaap van Ekris Wouter Geurts 《Quality and Reliability Engineering International》2015,31(2):183-191
In the realm of safety related systems, a growing number of functions are realized by software, ranging from ‘firmware’ to autonomous decision‐taking software. To support (political) real‐world decision makers, quantitative risk assessment methodology quantifies the reliability of systems. The optimal choice of safety measures with respect to the available budget, for example, the UK (as low as reasonably practicable approach), requires quantification. If a system contains software, some accepted methods on quantification of software reliability exist, but none of them is generally applicable, as we will show. We propose a model bringing software into the quantitative risk assessment domain by introducing failure of software modules (with their probabilities) as basic events in a fault tree. The method is known as ‘TOPAAS’ (Task‐Oriented Probability of Abnormalities Analysis for Software). TOPAAS is a factor model allowing the quantification of the basic ‘software’ events in fault tree analyses. In this paper, we argue that this is the best approach currently available to industry. Task‐Oriented Probability of Abnormalities Analysis for Software is a practical model by design and is currently put to field testing in risk assessments of programmable electronic safety‐related systems in tunnels and control systems of movable storm surge barriers in the Netherlands. The TOPAAS model is constructed to incorporate detailed fields of knowledge and to provide focus toward reliability quantification in the form of a probability measure of mission failure. Our development also provides context for further in‐depth research. Copyright © 2013 John Wiley & Sons, Ltd. 相似文献
6.
7.
Evaluating and selecting suppliers is an essential part of effectively managing today's dynamic and global supply chains. In this paper, we propose a supplier evaluation and selection methodology based on an extension of data envelopment analysis (DEA) that can evaluate suppliers in an efficient manner. Through the incorporations of a range of virtual standards, the proposed methodology termed augmented DEA, has enhanced discriminatory power over basic DEA models to rank suppliers. In addition, weight constraints are introduced to reduce the possibility of having inappropriate input and output factor weights. We demonstrate the application of augmented DEA with comparison experiments and find that the augmented DEA model has advantages over the basic DEA model as well as the cross-efficiency and super-efficiency models. Finally, we present a case application with data obtained from a communication and aviation electronics company to demonstrate the applicability and use of augmented DEA. 相似文献
8.
Eli A. Glushkovsky Radu A. Florescu 《Quality and Reliability Engineering International》1996,12(1):27-37
On the basis of the theory of fuzzy sets, linguistic quality characteristics may be successfully formalized. Its application to some of the main tools for quality improvement, as listed below, is presented.
- 1. Pareto analysis with the loss function for transformation of the membership function into loss.
- 2. Cause-and-effect diagrams with the possible addition of fuzzy relationships between factors and quality characteristics based on expert knowledge.
- 3. Design of experiments with defuzzification of linguistic data by calculating the distance (d) between the centre of gravity of the fuzzy sets and the target value.
- 4. d-BAR control charts with the traditional technique for the distance variable d.
- 5. Capability studies based on set theory both for variable data and for fuzzy linguistic data.
9.
Semiconductor wafer manufacturing processes are considered to be complex and require considerable manpower and financial investment. Effective control to promote wafer yield is thus a very important issue. Many computational problems in traditional failure mode approaches, such as variable selection and data collection, are far too dependent on the experience of engineers, with a lack of specifically quantified values. Therefore, there are significant differences between the results of research and the actual processes. Although several researchers have revised the failure mode computation, the occurrence results continue to differ from the actual quantified values. The potential failure mode in semiconductor wafer manufacturing processes is effectively discussed using linguistic fuzzy variables to replace the severity and detection in the failure mode for re-calculation and sorting, along with the occurrence acquired from the wafer processes yield change. Based on the results of engineering experiments, the use of a risk priority number can effectively overcome the problem of a lack of objectivity in the traditional failure mode and effect analysis, as well as accurately distinguish the priority of the key failure factors so that the research results become more complete. 相似文献
10.
11.
12.
Customer involvement plays a crucial role in engineered-to-order (ETO) projects. The present study investigates the involvement of customers, with thorough technical knowledge, as resources and co-producers. The study also analyses the impact of customer involvement in sourcing decisions and project execution on project performance (PP) of ETO shipbuilding projects by considering project and customer characteristics. The contributions of this study to the current body of knowledge on customer involvement in ETO projects are twofold. First, it demonstrates that customer involvement at different stages of shipbuilding projects have differential impacts on PP. Customer involvement in sourcing decisions during the early stages of the project has a positive impact, whereas involvement in project execution during the later stages of the project has a negative impact on PP. Second, it reveals that project complexity and customer type together significantly affect the PP. Therefore, the role of project complexity and customer type as potential contingent factors in explaining PP is emphasised. This study also makes a significant methodological contribution by demonstrating the use of fuzzy inference system and rough set theory to analyse qualitative inputs from interviews, when conducting surveys is not possible. 相似文献
13.
14.
Linhan Ouyang Wei Zheng Yige Zhu Xiaojian Zhou 《Quality and Reliability Engineering International》2020,36(1):125-143
Failure mode and effect analysis (FMEA) is an effective quality tool to eliminate the risks and enhance the stability and safety in the fields of manufacturing and service industry. Nevertheless, the conventional FMEA has been criticized for its drawbacks in the evaluation process of risk factors or the determination of risk priority number (RPN), which may lead to inaccurate evaluation results. Therefore, in this paper, we develop a novel FMEA method based on rough set and interval probability theories. The rough set theory is adopted to manipulate the subjectivity and uncertainty of experts' assessment and convert the evaluation values of risk factors into interval numbers. Meanwhile, the interval exponential RPN (ERPN) is used to replace the traditional RPN due to its superior properties, eg, solving the problems of duplicate numbers and discontinuity of RPN values. Furthermore, an interval probability comparison method is proposed to rank the risk priority of each failure mode for avoiding the information loss in the calculation process of RPN. Finally, a real case study is presented, and the comparison analysis among different FMEA methods is conducted to demonstrate the reliability and effectiveness of the proposed FMEA method. 相似文献
15.
This paper proposes a hierarchical technique for Supply Chain Network (SCN) efficiency maximisation under uncertainty composed of three steps. The first step extends a previous fuzzy cross-efficiency Data Envelopment Analysis approach, originally intended for suppliers’ selection, in order to evaluate and rank all the actors in each SCN stage under conflicting nondeterministic criteria. Afterwards, a fuzzy linear integer programming model is stated and solved for each pair of subsequent SCN stages to determine the quantities required from each stakeholder to maximise the overall SCN efficiency while satisfying the estimated demand and respecting the nodes capacity. Finally, a heuristics is applied to limit the exchange of small quantities in the SCN, in which the trade is not economically convenient according to quantity discounts. An illustrative example from the literature shows the technique effectiveness. 相似文献
16.
Haiji Yang Guofa Li Jialong He Liding Wang Xinda Zhou 《Quality and Reliability Engineering International》2021,37(6):2478-2498
Failure mode and effect analysis (FMEA) is a tool used to define, identify, and prevent known or unknown potential risks. An improved FMEA based on interval triangular fuzzy numbers (IVF) and fuzzy VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method is proposed in this study to solve problems of expression and processing of uncertain information, weights of risk factors, and ranking of failure modes in traditional FMEA. Linguistic variables are used to evaluate failure modes level and relative importance of risk factors and are expressed via interval-valued triangular fuzzy number. Determining the subjective weights of risk factors using fuzzy AHP, calculating the objective weights of risk factors using the extended VIKOR method, and obtaining the comprehensive weights of risk factors via ICWGT are proposed for solving the weight problem of risk factors. Finally, the fuzzy VIKOR method is used to rank risk priority of failure modes. The proposed method is used to evaluate workpiece box system of CNC gear milling machine and the results are compared with the findings of other methods to verify effectiveness and rationality of the proposed method. 相似文献
17.
The α-Discounting Method was developed to be an alternative to and extension of the Analytical Hierarchy Process (AHP) to solve multi-criteria decision-making (MCDM) problems with non-commensurable and conflicting criteria. In contrast to the AHP, this method works not only for pairwise comparisons but also for n-wise comparisons if relative importance of criteria can be expressed in a system of linear homogenous equations. This method also has a comparative advantage as it can transform those MCDM problems, classified as inconsistent by the AHP, into a consistent form. This study briefly compares the two methods and then develops the Fuzzy α-Discounting Method for Multi-Criteria Decision Making (Fα-DM MCDM). Two illustrative fuzzy MCDM problems from the literature have been solved to show how the Fα-DM MCDM works. 相似文献
18.
目的 从人因工程学角度,基于多层次模糊理论提出一种列车驾驶人机交互界面的评价方法.方法 针对当前地铁列车驾驶作业,基于驾驶任务分析,从能够直接反映舒适性的人体关节活动角度出发,构建了列车驾驶界面综合评价的\"任务—器件—动作\"指标体系.基于多层次模糊理论构建用于评价列车人机交互驾驶界面布局的模型,通过设计人因实验,使用层次分析和模糊粗糙集法获取各层级指标权重,展开对列车驾驶界面布局方案的综合量化评价.结论 以北京地铁全自动列车驾驶台布局为例,使用该方法验证了综合评价模型的有效性和可行性,能够为地铁列车驾驶界面前期的布局设计阶段提供理论与实践指导. 相似文献
19.
《Quality and Reliability Engineering International》2018,34(6):1142-1157
The main objective of fault tree analysis method is to estimate the “Top Event occurrence probability”. This requires determination of failure time distribution functions also known as “Bathtub Curves” for each of the system elements/events. This paper introduces a novel method to determine the failure time distribution functions using possibility theory. For this purpose, fuzzy‐bathtub distributions using expert opinions are generated for basic events and fuzzy formulas are derived for static and dynamic gates fault tree constructions. This process completed by proposed fuzzy Monte Carlo simulation throughout the preferred operational time and uses the actual time‐to‐failure data. Accordingly, the Top Event failure curve and the reliability profile of the system are depicted based on the defuzzificated basic‐events' bathtub‐failure‐rates. The results show that the proposed method not only is feasible and powerful but can also be accurate more than the other probabilistic and possibilistic techniques because of the component failure rates follow the real failure distributions. 相似文献
20.