摘要
再制造服务是实现产品多生命周期的重要运行管理模式之一。本文针对再制造服务活动及其组合方式,构建了一种以供应商匹配决策为主导的三阶段再制造服务过程模型。为解决供应商决策中评价信息的复杂性和不易量化的问题,引入区间数、语言变量、模糊数等多种数据类型进行信息描述,保持了数据的真实性和实用性;针对主、客观两种评价准则下的混合数据类型评价信息,运用VIKOR方法对备选方案择优排序,克服了混合数据的不可公度性和数据转换导致的失真问题,得到的妥协最优解更符合企业实际需求;运用信任函数和熵权法来确定决策者和各准则的权重,避免主观赋权的二次不确定性。最后通过算例和敏感性分析验证了所提出的供应商选择方法的可行性和稳定性。
Remanufacturing service is one of the most important operation management modes to realize product multi-lifecycle.This paper builds a supplier matching decision-making oriented three-stage remanufacturing service process model for the remanufacturing service activities and their combinations.Since evaluation information of the vendors is complex and difficult to quantify,in order to keep its authenticity and practicality,a variety of data types such as interval number,linguistic variable and fuzzy number are used to describe this information.In view of the two types of evaluation criteria including objective and subjective ones and the evaluation information with mixed data types,VIKOR method is used to rank and select the alternatives.Thus the incommensurability of mixed data and the distortion in data conversion are solved,and the compromised optimal solution is more suitable for the actual requirements of the enterprises.To avoid the second uncertainty of subjective weight assignment,belief function and entropy weight method are applied to determine the weights of each decision maker and criterion.Finally,the feasibility and stability of the proposed method for supplier selection are verified by numerical example and sensitivity analysis.
作者
夏绪辉
胡俊峰
王蕾
Xia Xuhui Hu Junfeng Wang Lei(Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan 430081, China)
出处
《武汉科技大学学报》
北大核心
2017年第4期295-301,共7页
Journal of Wuhan University of Science and Technology
基金
国家自然科学基金资助项目(71471143)
武汉科技大学冶金矿产资源高效利用与造块湖北省重点实验室开放基金资助项目(2016zy013)
关键词
再制造服务
供应商选择
VIKOR方法
多准则群决策
模糊数
熵权法
remanufacturing service
supplier selection
VIKOR method
multi-criteria group decision-making
fuzzy number
entropy weight method
