A two-stage model of adaptable product platform for engineering-to-order configuration design

被引:40
|
作者
Levandowski, Christoffer Erik [1 ]
Jiao, Jianxin Roger [2 ]
Johannesson, Hans [1 ]
机构
[1] Chalmers, Prod & Prod Dev, SE-41296 Gothenburg, Sweden
[2] MARC 262, GW Woodruff Sch Mech Engn, Atlanta, GA 30332 USA
关键词
multilevel configuration; adaptable design; engineering-to-order; design bandwidth; product platforms; FAMILY DESIGN; LIFE-CYCLE; REUSE; MANAGEMENT; ENABLERS; SYSTEM;
D O I
10.1080/09544828.2015.1021305
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Product platforms are used to enable mass customisation to serve a large number of different market segments. The products are configured-to-order, meaning they are compiled using a variety of pre-developed building blocks. However, the building blocks that make up a traditional platform can only serve customer requirements that are known. Engineering-to-order (ETO) development serves companies where customer requirements vary frequently. Here, designs are tailored to fit specific customer requirements upon request, an approach which is time consuming if serving a large number of different customers. This paper presents an approach for ETO configuration design. It comprises a two-stage model that enables design reuse while simultaneously maintaining flexibility to manage changes in customer requirements. The proposed artefact model is configured modularly to progress the design work and to create an architecture to work with, and scalable flexibility is maintained until the customer requirements are considered stable enough to optimise the final design. An illustrative case shows the approach's feasibility to a two-stage configuration of a rear frame of a jet engine. While using overall design considerations to select modules, trade-off curves are used for final scalable configuration. A change in customer requirements is accommodated by scalable flexibility, thereby creating an adaptable product platform.
引用
收藏
页码:220 / 235
页数:16
相关论文
共 50 条
  • [21] Process considerations for Product Lifecycle Management implementation for high-value Engineering-to-Order programmes
    McKendry, Daniel A.
    Whitfield, Robert, I
    DESIGN SCIENCE, 2022, 8
  • [22] Novel Two-Stage Method for Low-Order Polynomial Model
    Yan, Cheng
    Shen, Xiuli
    Guo, Fushui
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2018, 2018
  • [23] Unfolding the resource configuration and interaction in digital servitization: an exploratory two-stage research design
    Fang, Keyi
    Wu, Xiaobo
    Zhang, Weiqi
    Lei, Linan
    INTERNATIONAL JOURNAL OF OPERATIONS & PRODUCTION MANAGEMENT, 2024,
  • [24] A systematic adaptable platform architecture design methodology for early product development
    Li, Zhongkai
    Pehlken, Alexandra
    Qian, Hongtao
    Hong, Zhaoxi
    JOURNAL OF ENGINEERING DESIGN, 2016, 27 (1-3) : 93 - 117
  • [25] Two-stage product definition for mass customization
    Yu, Li
    Wang, Liya
    2007 5TH IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS, VOLS 1-3, 2007, : 699 - 704
  • [26] Two-stage cloud service optimisation model for cloud service middleware platform
    Kung, Hsu-Yang
    Kuo, Ting-Huan
    Chen, Chi-Hua
    Hsu, Yu-Lun
    JOURNAL OF ENGINEERING-JOE, 2018, 2018 (03): : 155 - 161
  • [27] Two-Stage Model of Devonian Basic Magmatism in the Vilyui Paleorift (Siberian Platform)
    Polyansky, O. P.
    Simonov, V. A.
    Koroleva, O. V.
    Prokopiev, A. V.
    Babichev, A. V.
    Kotlyarov, A. V.
    Semenov, A. N.
    RUSSIAN GEOLOGY AND GEOPHYSICS, 2024, 65 (07) : 814 - 830
  • [28] Analysis of optimum configuration of two-stage thermoelectric modules
    Yu, Jianlin
    Zhao, Hua
    Xie, Kangshan
    CRYOGENICS, 2007, 47 (02) : 89 - 93
  • [29] A New Configuration for Two-Stage OTA LHP Zeroes
    Rashtian, Mohammad
    Najd, Ali
    2021 IRANIAN INTERNATIONAL CONFERENCE ON MICROELECTRONICS (IICM 2021), 2021,
  • [30] Two-Stage Optimization Model of Agricultural Product Distribution in Remote Rural Areas
    Zhang, Hao
    Feng, Huixia
    Wang, Hongmei
    IEEE ACCESS, 2020, 8 (08): : 213928 - 213949