Fuzzy Theory and AHP Based Manufacturing Execution Systems (MES) Vendor Service Quality Evaluation Method Study

Liang Chao, Li Qing
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引用次数: 4

Abstract

The service quality of manufacturing execution systems (MES) vendors gains more attentions than ever before, since more manufacturers plan to purchase MES for the improvement of plant operation and financial performance, and more software companies begin to supply the software. The paper supplies both an evaluation framework and a practical approach to evaluate the service quality of MES vendors. From the process viewpoint, the evaluation framework includes not only the after-sale supports, but also the MES software itself. The evaluation approach involves fuzzy theory and AHP, and ranks the alternatives based on the concept of positive/negative ideal alternative. Decision-maker's confidence level and preference on the fuzzy assessment results from respondents are incorporated in the approach. Finally, we validate the approach through a test
基于模糊理论和层次分析法的制造执行系统供应商服务质量评价方法研究
制造执行系统(MES)供应商的服务质量比以往任何时候都受到越来越多的关注,因为越来越多的制造商计划购买MES以改善工厂运营和财务绩效,越来越多的软件公司开始提供软件。本文提供了一个评价MES供应商服务质量的框架和实用的方法。从过程的角度来看,评价框架不仅包括售后支持,还包括MES软件本身。评价方法采用模糊理论和层次分析法,基于正/负理想方案的概念对方案进行排序。该方法考虑了决策者对被调查者模糊评价结果的置信度和偏好。最后,我们通过测试验证该方法
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