An investigation on the impact of product modularity level on supply chain performance metrics: an industrial case study

被引:41
作者
Chiu, Ming-Chuan [1 ]
Okudan, Guel [2 ,3 ]
机构
[1] Natl Tsing Hua Univ, Dept Ind Engn & Engn Management, Hsinchu 20013, Taiwan
[2] Penn State Univ, Sch Engn Design, University Pk, PA 16802 USA
[3] Penn State Univ, Dept Ind & Mfg Engn, University Pk, PA 16802 USA
关键词
Product design; Supply chain design; Modularity; Supplier selection; FAMILY DESIGN; ARCHITECTURE; METHODOLOGY; OPTIMIZATION; DECISIONS; VARIETY;
D O I
10.1007/s10845-012-0680-3
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The benefit of integrating product design decisions and supply chain design decisions has been recognized by researchers. Such integration can facilitate better communication between design teams and operations groups. Consequently, potential supply chain risks can be highlighted and addressed before the launch of a new product. Modularization is one of the most critical elements for both product design and supply chain design decisions as it impacts the assembly sequence and hence the selection of component and module suppliers. However, the impact of modularity level on supply chain performance is still unclear, and thus is the focus of this study. The proposed analytical method incorporates both product design and supply chain design functions, and hence, enables simultaneous consideration of these decisions. The supply chain performances of all two-module and three-module design concepts are fully investigated in an effort to explore the impact of modularity level on supply chain performance. Results show that increased modularity is advantageous for the time-based performance of a supply chain network, whereas decreased modularity yields superiority in terms of cost performance.
引用
收藏
页码:129 / 145
页数:17
相关论文
共 41 条
  • [1] Adams M., 2004, PDMA Foundation New Product Development Report of Initial Findings: Summary of Responses from 2004 CPAS, Product Development and Management Association
  • [2] [Anonymous], 1997, HARVARD BUSINESS REV
  • [3] Appelqvist P., 2004, Journal of Manufacturing Technology Management, V15, P675, DOI 10.1108/17410380410555916
  • [4] PCDM: a decision support modeling methodology for supply chain, product and process design decisions
    Blackhurst, J
    Wu, T
    O'Grady, P
    [J]. JOURNAL OF OPERATIONS MANAGEMENT, 2005, 23 (3-4) : 325 - 343
  • [5] Complementarities Between Product Design Modularity and IT Infrastructure Flexibility in IT-Enabled Supply Chains
    Bush, Ashley A.
    Tiwana, Amrit
    Rai, Arun
    [J]. IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, 2010, 57 (02) : 240 - 254
  • [6] Chiu M., 2011, J PRODUCT DEV, V13, P132
  • [7] An Integrative Methodology for Product and Supply Chain Design Decisions at the Product Design Stage
    Chiu, Ming-Chuan
    Okudan, Guel
    [J]. JOURNAL OF MECHANICAL DESIGN, 2011, 133 (02)
  • [8] Chopra S., 2006, Supply Chain Management
  • [9] Multiple correlations and Bonferroni's correction
    Curtin, F
    Schulz, P
    [J]. BIOLOGICAL PSYCHIATRY, 1998, 44 (08) : 775 - 777
  • [10] Dowlatshahi S., 1992, International Journal of Purchasing Materials Management, V28, P21, DOI [10.1111/j.1745-493X.1992.tb00553.x, DOI 10.1111/J.1745-493X.1992.TB00553.X]