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1.
汽车行业供应链协同绩效评价及其应用   总被引:1,自引:0,他引:1  
考虑汽车行业供应链协同绩效包含协同过程绩效、协同结果绩效和协同支持绩效,并结合客户服务和系统适应性,选择了30个汽车行业供应链协同评价指标,建立协同绩效评价指标体系.然后,选取以国内某汽车制造厂为核心企业的汽车行业供应链为例,运用模糊综合分析法对其供应链进行协同评价,实现了对该指标体系的量化,并对评价结果进行分析.结果表明,企业在过程、结果和支持等方面协同运作,可以提高供应链整体的协同绩效,从而进一步验证了评价指标体系的可行性和模糊综合评价方法的可操作性.  相似文献   

2.
绩效评价是供应链管理的重要一环,而绩效评价指标体系和评价模型是绩效评价的关键.充分考虑农产品的特殊性,在传统四维平衡记分卡的基础上构建了六维农产品供应链绩效评价指标体系,结合灰色聚类和模糊综合评价构建了农产品供应链绩效评价模型.模型克服了模糊综合评价隶属度难以确定的问题,通过将建立的指标体系和评价模型对某农产品供应链进行绩效评价分析,得出该公司绩效评价结果为良好.结果表明,方法不仅能够客观评价供应链整体绩效,还可以分层次多角度进行评价,指出不同方面存在的问题及改进方向.  相似文献   

3.
基于BP神经网络的供应链绩效评价方法   总被引:2,自引:0,他引:2  
动态供应链绩效评价是一个包含多个指标输入输出的复杂评估系统,各绩效指标具有模糊性、不确定性,绩效指标数量较多,彼此之间存在非线性关联性。针对这样一个复杂的评估系统,本文讨论利用神经网络技术来对动态供应链绩效进行综合评价。本文首先介绍了人工神经网络的基本概念。针对供应链绩效的五维平衡计分卡模型,利用BP神经网络(Back Propagation NeuralNetwork,BP网络)来对供应链综合绩效评价结果进行学习和预测,文中我们详细讨论了供应链绩效评价中BP网络的学习过程和存在的问题,并给出了仿真结果。计算实例表明本文提出的动态供应链绩效评价模型是合理、有效的,能够为供应链的合理分析和决策制定提供依据。  相似文献   

4.
低碳地产供应链已成为我国国民经济发展的重要组成部分和主要趋势.在分析低碳地产现状的基础上,探讨低碳地产供应链内涵,分析并建立多层次多指标的低碳地产供应链绩效评价指标体系,运用数据包络分析法(DEA)中的C2R模型对低碳地产供应链绩效进行初步评价.最后,通过案例分析判断出低碳地产供应链的DEA有效性,分析非DEA有效的影响因素,并通过在生产前沿面上的投影计算分析,提出其绩效改进方案.  相似文献   

5.
图书馆知识管理的多层次模糊综合评价方法   总被引:1,自引:0,他引:1  
根据系统评价原则,采用调查问卷与数学定量研究相结合的处理方法,用模糊综合评价法来评价图书馆知识管理绩效.通过图书馆知识管理绩效评价的实证分析,证明评价指标的科学性、合理性以及切实可行性.  相似文献   

6.
王新国  张昕 《珠算》2009,(6):78-81
企业绩效评价关系到多方面的利益,要评价经营者对所有者利益忠诚与否并衡量企业经营状况好坏,科学合理的绩效评价标准责无旁贷。 绩效评价在我国起步较晚,目前,业内采用的评价标准不尽合理。如何引入绩效管理理念,搭建符合企业自身特点的切实有效的绩效管理体系,使绩效管理真正能够发挥其应有的作用,是目前我国企业实践工作中的一个重点、热点,更是一个难点。  相似文献   

7.
使用医疗服务供应链理论对医改模式进行机理分析和绩效评价,可以帮助我们厘清医改模式的内在运行机制、判别其运行效果,为下一步医改提供决策支持.论文以医改安徽模式作为典型样本,指出安徽模式作为一种复合型改革,从服务供应链管理策略的角度来看,就是针对医疗服务供应链不同节点主体间的关系和作用,采用多种供应链管理策略共同作用的结果,并运用倍差法对管理绩效进行了实证分析,验证了其在改进医疗服务和降低医生道德风险方面的显著性.  相似文献   

8.
为客观、合理地进行施工企业项目经理绩效评价,提出了基于AHP-云模型的综合评价方法.采用层次分析法(AHP)确定指标权重,通过云模型实现定性表达与定量的互相转化,并运用相关计算逐级确定各级指标云,将最终评价云和云标尺对比分析得出项目经理绩效水平.通过实例验证了AHP-云模型在施工企业项目经理绩效评价中的可行性和有效性,为施工企业在此类评价中提供方法借鉴.  相似文献   

9.
对商业银行资产负债比例管理绩效进行综合评价,是商业银行提高经营管理水平和中央银行实施货币政策目标的双重需要.本文主要讨论了运用层次分析法对其进行综合评价的程序及模型,并对该程序、模型的适用性进行了实证分析.  相似文献   

10.
提出混合多准则群决策法评价制造商绿色供应链管理能力.首先,运用AHP法构建含6个准则17个指标的绿色供应链管理能力指标体系;然后,综合调研信息和专家评价数据形成混合决策矩阵、综合Theil不均衡指数和改进的灰关联偏离分析确定混合指标权重、综合专家指标熟悉度和专家参评对象熟悉度确定混合专家权重;再次,将所提决策法用于汽车制造商的绿色供应链管理能力评估;最后,将所提方法与VIKOR和TOPSIS法作对比分析.研究结果表明:1)中国汽车业整体供应链绿色化水平还有较大提升空间,国有车企的绿色化意识和水平相对较高,民营车企需迎头赶上;2)构建的绿色供应链管理能力多准则多指标体系能够反映制造商的绿色供应链管理能力;3)混合多准则群决策法弱化了主观随意性和客观刚性,与VIKOR和TOPSIS法异曲同工,为绿色供应链管理能力评估提供了又一贴近实际、科学可行的评价方法.  相似文献   

11.
Because of the growing global competence and effectiveness concepts, supply chain becomes more important for organizations. Therefore, managers object to find best supply chain configuration for their firms. This study proposes a comprehensive configuration for supply chain management process, and it enables to understand relationships among supply chain integration, supply chain strategies, supply chain risk factors, and performance criteria. By reviewing the literature and using experts' knowledge, supply chain configuration criteria are determined. Intuitionistic fuzzy cognitive map methodology is employed to consider the interrelations between criteria. Intuitionistic fuzzy cognitive map methodology is a suitable tool due to the presence of causalities and relationships among criteria and the difficulty of expressing the interrelations with crisp numbers. It also deals with uncertain and vague data and allows representing hesitation. The application is conducted in an automobile factory, which is one of the largest manufacturers in Turkey. The results show that selection of proper supplier is the most significant supply chain configuration criteria. Thus, the importance of supplier selection criteria is also analyzed as the second phase of the study.  相似文献   

12.
This paper presents a multi-layer demand-responsive logistics control strategy for alleviating, effectively and efficiently, the bullwhip effect of a supply chain. Utilizing stochastic optimal control methodology, the proposed method estimates the time-varying demand-oriented logistics system states, which originate directly and indirectly downstream to the targeted member of a supply chain, and associate these estimated demands with estimates of different time-varying weights under the goal of systematically optimizing the logistical performance of chain members. In addition, an experimental design is conducted where the proposed method is evaluated with the two specified criteria. Numerical results indicate that the proposed method permits alleviating, to a great extent, the bullwhip effect in comparison with the existing logistics management strategies. Furthermore, the methodology presented in this study is expected to help address issues regarding the uncertainty and complexity of the distortion of demand-related information existing broadly among supply chain members for an efficient supply chain coordination.  相似文献   

13.
This research proposes a solution framework based on discrete-event simulation, sequential bifurcation (SB) and response surface methodology (RSM) to address a multi-response optimization problem inherent in an auto parts supply chain. The objective is to identify the most efficient operating setting that would maximize the logistics performance after the expansion of the assembly plant’s capacity due to market growth. In the proposed framework, we first construct a comprehensive simulation as a platform to model the physical flow of the auto parts operations. We then apply the SB to identify the most important factors that influence system performance. To determine the optimal levels of these key factors, we employ RSM to develop metamodels that best describe the relationship between key decision variables and the multiple system responses. We adapt the Derringer–Suich’s desirability function to find the optimal solution of the metamodels. Computational study shows that our method enables the greatest improvement on system performance. The proposed method helps the case firm develop insights into system dynamics and to optimize the operating condition. It realizes the performance objective of the auto parts supply chain without the need for additional fiscal investment.  相似文献   

14.
Knowledge Management (KM) is an issue of great and increasing importance in most if not all areas of managerial endeavour. In this paper, we are concerned with the particular practical difficulty within KM of mapping knowledge in a managed system. This is an important practical issue because without a view of the terrain of explicit and tacit knowledge in the managed system, we have little prospect of planning our managerial interaction. Few if any practical methods exist which reflect the strongly systemic nature of business organizations. We begin by establishing our position with regard to the numerous definitions and perspectives of knowledge in managed systems, and indeed in regard to the disagreements that rack KM over the nature of knowledge itself, where it lies and the role of humans as creators, users and guardians of that knowledge. We relate the nature of system knowledge to well-known taxonomies of knowing what, knowing how, knowing why, knowing who together with the integrated from of knowing in the managed system as a whole. The method presented, Systems Based KM (or SBKM), is based on a non-positivist qualitative method deriving from System Dynamics and it is presented through the medium of a case study of a professional firm.  相似文献   

15.
This paper investigates uncertainties in complex supply chain situations and proposes a fuzzy-based decision support model for determining the chance of meeting on-time delivery in a complex supply chain environment. It integrates fuzzy logic principles and unitary structure-based supply chain model and enables addressing uncertainties associated with key inputs of on-time delivery performance for effective decision making process. The proposed pragmatic model deals with the fuzziness of the key inputs including, variations in demand forecasting, materials shortages and distribution lead time, and combines a fuzzy reasoning approach for monitoring on-time delivery of finished products. In systematically dealing with the uncertainties of complex supply chains, this model supports the minimizing of business losses that result from penalties and customer dissatisfaction, and the consequent reduced market share. Application of the proposed model is illustrated using a textile industry case study.  相似文献   

16.
Knowledge sharing is one of the most critical steps in knowledge management activities. To achieve effective knowledge sharing, it is important to encourage workers to share their knowledge for the best interests of the firm. However, successfully exerting this encouragement is very challenging. In this paper, we develop a formal model and analyze reward systems for intra-organizational knowledge sharing. Specifically, two common forms of reward systems are considered; individual-based reward which is based on the individual contribution of valuable knowledge, and group-based reward which is based on the contribution of the whole group through knowledge sharing to the firm performance. Through the analysis, we derive a simple optimal individual-based reward system which depends on the amount and the productivity of shared knowledge. The system balances the benefit from knowledge sharing of each worker with the costs related with it. Next, it is found that group-based reward is not only less efficient than individual-based reward, but it also subject to a potential productivity problem, in which workers with more productive knowledge do not participate in knowledge sharing. Finally, it is shown that several organizational factors can complement reward systems in increasing the performance of KM and can mitigate the productivity problem. Insights from our analysis could help managers to understand important considerations in rewarding knowledge sharing, and could provide them with guides to implement reward systems.  相似文献   

17.
DEA models for supply chain efficiency evaluation   总被引:12,自引:0,他引:12  
An appropriate performance measurement system is an important requirement for the effective management of a supply chain. Two hurdles are present in measuring the performance of a supply chain and its members. One is the existence of multiple measures that characterize the performance of chain members, and for which data must be acquired; the other is the existence of conflicts between the members of the chain with respect to specific measures. Conventional data envelopment analysis (DEA) cannot be employed directly to measure the performance of supply chain and its members, because of the existence of the intermediate measures connecting the supply chain members. In this paper it is shown that a supply chain can be deemed as efficient while its members may be inefficient in DEA-terms. The current study develops several DEA-based approaches for characterizing and measuring supply chain efficiency when intermediate measures are incorporated into the performance evaluation. The models are illustrated in a seller-buyer supply chain context, when the relationship between the seller and buyer is treated first as one of leader-follower, and second as one that is cooperative. In the leader-follower structure, the leader is first evaluated, and then the follower is evaluated using information related to the leader's efficiency. In the cooperative structure, the joint efficiency which is modelled as the average of the seller's and buyer's efficiency scores is maximized, and both supply chain members are evaluated simultaneously. Non-linear programming problems are developed to solve these new supply chain efficiency models. It is shown that these DEA-based non-linear programs can be treated as parametric linear programming problems, and best solutions can be obtained via a heuristic technique. The approaches are demonstrated with a numerical example.  相似文献   

18.
With the advent of the supply chain management concepts, business communities have been realizing that being competitive as a single company is no longer adequate; instead, competitiveness requires consideration of all channels in the supply chain. Despite its importance, the availability of the literature addressing supply chain flexibility is still limited to date. Although relationships between various types of flexibilities have been established, the degree to which one type of flexibility affects the other types and the system performance remains to be investigated. In particular, there is a lack of rigorous analytical models elucidating the relationships between the degree of flexibility in a system and the system level of performance. In this paper, a supply chain flexibility model is developed comprising labor flexibility, machine flexibility, routing flexibility, and information technology, with total system flexibility measured by an economic index. Outputs from the model can assist in making suitable production decisions to produce multiple products under an uncertain environment. Example solutions are given. This paper can help economic evaluation when supply chain flexibility and the factors affecting flexibility are to be improved. It can also assist in making supply chain flexibility-promotion decisions.  相似文献   

19.
Effective performance management is critical to efficient supply chain management systems with the balanced scorecard as well as to effective evaluation models and their algorithms. Problems often encountered in the modeling of the balanced scorecard for supply chain are how to overcome the multicollinearity in its index system. In this paper, a new fuzzy hierarchical evaluation model featuring the criteria of the balanced supply chain scorecard is proposed and analyzed on the basis of data about Chinese firms. The model, based on the fuzzy weight’s matrix derived from a fuzzy principal component analysis, overcomes the multicollinearity in the index system of the balanced supply chain scorecard. This method proves good performance in determining the weight distribution matrix of the fuzzy hierarchical evaluation and improves the evaluation accuracy and generalization as shown for a group of firms in western China.  相似文献   

20.
何杜博  黄栋 《运筹与管理》2022,31(2):148-154
针对装备采购供应链质量绩效评价指标体系不能真实反映供应链质量状况和评价方法不够合理的问题,基于平衡计分卡模型框架建立了装备采购供应链质量绩效评价指标体系,提出了一种新的改进可拓层次分析法(EAHP),用于评价供应链质量绩效。该方法通过个体指标权重向量与群体指标权重向量之间的贴近度确定初始专家权重,并通过引入修正参数的序关系分析法(G1)来多轮修正专家权重分配,克服了传统EAHP在群决策中集结专家判断信息后一致性检验难以通过的问题。计算实例表明该方法能有效集结群决策信息,并减少偏差较大的决策信息带来的不良影响。  相似文献   

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