物联网环境下的供应商选择和评价指标体系与模型研究

发布时间：2018-01-25 22:49

本文关键词： 物联网供应商选择评价指标体系　出处：《东华大学》2014年硕士论文　论文类型：学位论文

【摘要】：随着科学技术的快速发展,物联网技术已经被广泛地应用,现如今物联网技术的应用已经不局限在企业内部,应用已经扩大到供应链上。供应链下游企业可以通过信息共享平台获得上游企业的信息,物联网使得供应商的信息实时传输到共享平台上,需求企业可以对供应商进行实时的监控,物联网的新环境对供应商的选择和评价提出了新的要求。首先,本文总结和归纳了物联网环境下的供应商选择和评价的特点,认为物联网环境下获取信息的渠道更加便捷,供应商选择评价更具有实时性,对突发情况的应变能力更强,供需企业之间形成动态联盟的战略合作伙伴关系。然后,根据物联网环境下的这些特点,建立了5个一级、14个二级和22个三级评价指标。在考虑传统指标的基础上提出了柔性指标(如产量柔性、时间柔性和产品柔性),信息化程度(如物联网技术建设投入资金比率、物联网技术及相关人员比率和信息共享能力),战略合作兼容性(如战略目标、信息系统和企业文化的兼容性),及评价企业发展前景的指标(如发展环境和发展潜力)等。其次,论文采用文献分析、问卷调查、企业调研、专家打分、定量与定性结合等方法建立供应商选择评价的指标体系并进行详尽描述。再次,运用层次分析法与预测方法的结合,建立基于时间变化的供应商选择评价模型。并提出了确定评价供应商的周期的方法,用层次分析法对供应商前期的表现进行评价,以前期比较矩阵的变化趋势为根据计算预测方程,利用预测方程计算出预测值,从而计算供应商绩效和对通过一致性检验的比较矩阵进行总层次排序,选择最优的供应商。最后,通过江苏通塑科技集团有限公司的实际案例验证了论文的研究成果,解决了物联网环境下的供应商选择和评价的实际问题。通过分析企业概况和采购现状,对企业相关数据进行收集,通过计算选出最优供应商。本文建立的指标体系和模型切实地反映了物联网的特点,能够动态、客观地评价供应商,根据供应商的表现趋势进行动态地评价。
[Abstract]:With the rapid development of science and technology, the Internet of things technology has been widely used. Nowadays, the application of Internet of things technology is not limited to the enterprise. The application has been extended to the supply chain. The downstream enterprises of the supply chain can obtain the information of the upstream enterprises through the information sharing platform, and the Internet of things makes the information of the suppliers transmit to the sharing platform in real time. Demand enterprises can monitor suppliers in real time, and the new environment of Internet of things puts forward new requirements for supplier selection and evaluation. First of all, this paper summarizes and summarizes the characteristics of supplier selection and evaluation in the Internet of things environment. It is considered that the access to information in the Internet of things environment is more convenient, and supplier selection evaluation is more real-time. The strategic partnership between supply and demand enterprises formed dynamic alliance. Then, according to these characteristics of the Internet of things environment, established five levels. On the basis of considering the traditional index, the flexibility index (such as yield flexibility, time flexibility and product flexibility) was put forward. The degree of informatization (such as the investment ratio of the Internet of things technology construction, the ratio of the Internet of things technology and related personnel and the ability of information sharing), the compatibility of strategic cooperation (such as strategic objectives). The compatibility of information systems and corporate culture, and the evaluation of enterprise development prospects (such as development environment and development potential) and so on. Secondly, the paper uses literature analysis, questionnaires, enterprise research, experts score. Quantitative and qualitative methods such as the establishment of supplier selection evaluation index system and detailed description. Thirdly, the use of AHP and forecasting method combination. The evaluation model of supplier selection based on time change is established, and the method of determining the cycle of supplier evaluation is put forward, and the pre-performance of supplier is evaluated by analytic hierarchy process (AHP). Based on the prediction equation, the forecast value is calculated by using the prediction equation, and then the supplier performance is calculated and the comparison matrix that passes the consistency test is ranked at the total level. Select the best supplier. Finally, through the Jiangsu Tong plastic Technology Group Co., Ltd., the actual case to verify the research results of the paper. Solve the problem of supplier selection and evaluation under the Internet of things environment. Through the analysis of the enterprise profile and procurement status, the enterprise related data collection. The index system and model established in this paper reflect the characteristics of the Internet of things and can evaluate suppliers dynamically objectively and dynamically according to the performance trend of suppliers.
【学位授予单位】：东华大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F49;F274

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