Using product and manufacturing system platforms to generate producible product variants

被引:4
作者
Landahl, Jonas [1 ]
Levandowski, Christoffer [1 ]
Johannesson, Hans [1 ]
Soderberg, Rikard [1 ]
Warmefjord, Kristina [1 ]
Carlson, Johan S. [2 ]
Kressin, Jonas [2 ]
Isaksson, Ola [1 ,3 ]
Vallhagen, Johan [1 ,3 ]
机构
[1] Chalmers Univ Technol, Dept Prod & Prod Dev, SE-41296 Gothenburg, Sweden
[2] Fraunhofer Chalmers Ctr, Sven Hultins Gata 9, SE-41258 Gothenburg, Sweden
[3] GKN Aerosp Sweden AB, Flygmotorvagen 1, SE-46138 Trollhattan, Sweden
来源
6TH CIRP CONFERENCE ON ASSEMBLY TECHNOLOGIES AND SYSTEMS (CATS) | 2016年 / 44卷
关键词
Product Platform; Manufacturing Platform; Producibility; PLM; DESIGN;
D O I
10.1016/j.procir.2016.02.132
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Product platforms have proven efficient as a means to reduce lead-time and increase product quality simultaneously. When using platforms to generate a family of products, the number of variants that need to be managed in manufacturing increases. To succeed with this, the manufacturing system needs to be maintained in a similar level of flexibility as the product platform. However, there is seldom a joint decision behind each and every conceptual product variant during development, regarding capability in manufacturing. For example, when considering producibility, some product variants require better tolerances than what the manufacturing processes can deliver. This uncertainty can be reduced, by making producibility analyses of a set of conceptual product variants. By performing several different analyses, knowledge can be gained, and joint decisions can be made about cross product-manufacturing aspects. The activities can be systematically arranged to gradually eliminate unfeasible conceptual product variants. In this paper we show how an integrated PLM architecture can be used to create sufficient knowledge as a basis for joint product and manufacturing decisions. The utmost company benefit of this is to reduce lead-time by taking manufacturing capability into account when developing product families. (C) 2016 The Authors. Published by Elsevier B.V.
引用
收藏
页码:61 / 66
页数:6
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