Product design and manufacturing system operations: An integrated approach for product customization

被引:4
作者
Rincon-Gueyara, Oscar [1 ]
Samayoa, Jorge [2 ]
Deshmukh, Abhijit [1 ]
机构
[1] Purdue Univ, 315 N Grant St, W Lafayette, IN 47906 USA
[2] Univ Galileo, 7ma Ave Zona 10, Guatemala City 01010, Guatemala
来源
48TH SME NORTH AMERICAN MANUFACTURING RESEARCH CONFERENCE, NAMRC 48 | 2020年 / 48卷
关键词
Product design; complexity; mass customization; manufacturing systems; MASS CUSTOMIZATION; MODULARITY; COMPLEXITY; MODEL;
D O I
10.1016/j.promfg.2020.05.020
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
To stay competitive in the marketplace, manufacturing firms that rely on high product variety should involve the customer in the product design process. However, customer interaction with the product at the design level could compromise the product functionality and the operational arrangement of the manufacturing system. To address these challenges, we aim to align the preferences of the design and manufacturing teams within a manufacturing firm in the context of mass customization. The preference of the design team is in terms of product modularity, associated with product upgradeability and flexibility. In the manufacturing team, complexity is a preference associated with cost and quality. In our research, the motivation for selecting these attributes is that product modularity is used to deal with product variety, and complexity is related to the uncertainty of product manufacturing. These two perspectives could support the manufacturing firm decision of selecting which product architecture is more convenient for a given operational arrangement and vice versa. We use a Multi-Attribute Utility function to assess the preferences of the design and manufacturing teams in terms of modularity and manufacturing complexity. We analyze the functional requirements of the product and then their mapping into the product architecture. Finally, we study the relationship of the product components to the operational arrangement of the manufacturing system. In addition, we include a case study in which we analyze two products and their relationship to a single manufacturing system, where the highest utility produces the best relationship between product design and manufacturing configuration complexity. By using this integrated approach, a manufacturer can decide to update the product design, the related operational configuration, or both. (c) 2020 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer review under the responsibility of the scientific committee of NAMRI/SME
引用
收藏
页码:54 / 63
页数:10
相关论文
共 34 条
  • [1] Antonio J., 2017, 21 INT C ENG DESIGN, V7
  • [2] Blecker T., 2006, Management Decision, V44, P908, DOI 10.1108/00251740610680596
  • [3] Clemen R.T., 2013, MAKING HARD DECISION
  • [4] cutthroatstraightrazor, SHAVETTE STRAIGHT RA
  • [5] Manufacturing systems complexity analysis methods review
    Efthymiou, K.
    Mourtzis, D.
    Pagoropoulos, A.
    Papakostas, N.
    Chryssolouris, George
    [J]. INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2016, 29 (09) : 1025 - 1044
  • [6] Eppinger SD, 2012, ENG SYST, P1
  • [7] Operation-based configuration complexity measurement for manufacturing system
    Fan Guoliang
    Li Aiping
    Giovanni, Moroni
    Xu Liyun
    Liu Xuemei
    [J]. MANUFACTURING SYSTEMS 4.0, 2017, 63 : 645 - 650
  • [8] Product modularity: definitions and benefits
    Gershenson, JK
    Prasad, GJ
    Zhang, Y
    [J]. JOURNAL OF ENGINEERING DESIGN, 2003, 14 (03) : 295 - 313
  • [9] A framework for decision-based engineering design
    Hazelrigg, GA
    [J]. JOURNAL OF MECHANICAL DESIGN, 1998, 120 (04) : 653 - 658
  • [10] Comparative analysis of coupling modularity metrics
    Hoelttae-Otto, Katja
    Chiriac, Noemi A.
    Lysy, Dusan
    Suh, Eun Suk
    [J]. JOURNAL OF ENGINEERING DESIGN, 2012, 23 (10-11) : 787 - 803