Study on the Robust Tolerance Design with Multiple Resource Suppliers on Cloud Manufacturing Platform

被引：2

作者：

Wu, Zijian ^{[1
]}

Yang, Kaili ^{[1
]}

Ting, Liu ^{[2
,3
]}

Cao, Yanlong ^{[2
,3
]}

Yang, Jiangxin ^{[2
,3
]}

Gan, Yi ^{[1
]}

机构：

[1] Univ Shanghai Sci & Technol, Sch Mech Engn, Shanghai 200082, Peoples R China

[2] Zhejiang Univ, Coll Mech Engn, Key Lab Adv Mfg Technol Zhejiang Prov, Hangzhou 310027, Peoples R China

[3] Zhejiang Univ, Coll Mech Engn, State Key Lab Fluid Power & Mechatron Syst, Hangzhou 310027, Peoples R China

来源：

15TH CIRP CONFERENCE ON COMPUTER AIDED TOLERANCING, CIRP CAT 2018 | 2018年 / 75卷

基金：

中国国家自然科学基金;

关键词：

Robust Tolerance Design; Game theory; Multivariate process capability index;

D O I：

10.1016/j.procir.2018.04.067

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The robust tolerance design in the scenario with multiple resource suppliers is faced with greater uncertainty in the new manufacturing era. This paper studies the robust tolerance design on cloud manufacturing platform, in which a two-level game is put forward to reveal the relationship and behavior between the products and resource suppliers. According to the scenario with multiple resource suppliers, the multivariate process capability index has been introduced to solve the problem of robust tolerance design faced up with cloud manufacturing environment. A case study is used to illustrate the proposed model. (C) 2018 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the Scientific Committee of the 15th CIRP Conference on Computer Aided Tolerancing - CIRP CAT 2018.

引用

页码：63 / 68

页数：6

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