PCDM: a decision support modeling methodology for supply chain, product and process design decisions

被引:93
|
作者
Blackhurst, J
Wu, T
O'Grady, P
机构
[1] N Carolina State Univ, Coll Management, Dept Business Management, Raleigh, NC 27695 USA
[2] Arizona State Univ, Dept Ind Engn, Tempe, AZ 85287 USA
[3] Univ Iowa, Seamans Ctr, Dept Mech & Ind Engn, Iowa City, IA 52242 USA
关键词
supply chain coordination; supply chain; product and process design decision modeling;
D O I
10.1016/j.jom.2004.05.009
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
While there is considerable pressure to improve the operation of supply chains, their inherent complexity can make modeling a supply chain a difficult task. This difficulty is compounded when the need to model the effects of product and process design changes are also considered. Yet there could be considerable benefits in designing supply chains taking into account the operation of the supply chain as well as the design of the product and the design of the manufacturing processes used in the supply chain. This paper aims to address the central research issue of developing a methodology that can assist a manager in making decisions by modeling both the operation of a supply chain design and the effects of product and process design decisions. The proposed methodology, called Product Chain Decision Model (PCDM), is presented in this paper. This uses an abstracted network to model supply chain systems. Finally, an industry example of joint supply chain and product design is described to illustrate the application of PCDM. (c) 2004 Elsevier B.V. All rights reserved.
引用
收藏
页码:325 / 343
页数:19
相关论文
共 50 条
  • [31] A structured modeling based methodology to design decision support systems
    Raghunathan, S
    [J]. DECISION SUPPORT SYSTEMS, 1996, 17 (04) : 299 - 312
  • [32] A structured modeling based methodology to design decision support systems
    Department of Accounting and MIS, Bowling Green State University, Bowling Green, OH 4340, United States
    [J]. Decis Support Syst, 4 (299-312):
  • [33] A BDI Modeling Approach for Decision Support in Supply Chain Quality Inspection
    Yan, Jiaqi
    Li, Xin
    Sun, Sherry X.
    Shi, Yani
    Wang, Huaiqing
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2020, 50 (03): : 884 - 898
  • [34] Incremental Modeling Method of Supply Chain for Decision-Making Support
    Gortowski, Szczepan
    Lewanska, Elzbieta
    [J]. BUSINESS INFORMATION SYSTEMS WORKSHOPS (BIS 2020), 2020, 394 : 34 - 44
  • [35] Utilizing supply chain modeling for decision support in the oil and gas industry
    Isaksen, S. L.
    Lilleheier, T.
    Wright, C.
    [J]. SAFETY, RELIABILITY AND RISK ANALYSIS: BEYOND THE HORIZON, 2014, : 2781 - 2787
  • [36] Decision support for selecting the optimal product unpacking location in a retail supply chain
    Broekmeulen, Rob A. C. M.
    Sternbeck, Michael G.
    van Donselaar, Karel H.
    Kuhn, Heinrich
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2017, 259 (01) : 84 - 99
  • [37] Decision support for supply chain analysis
    Ganapathy, S
    Narayanan, S
    [J]. 2003 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-5, CONFERENCE PROCEEDINGS, 2003, : 2077 - 2082
  • [38] A strategic decision support system for logistics and supply chain network design
    Biswas, T.
    Samanta, Susmita
    [J]. SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES, 2016, 41 (06): : 583 - 588
  • [39] A strategic decision support system for logistics and supply chain network design
    T Biswas
    Susmita Samanta
    [J]. Sādhanā, 2016, 41 : 583 - 588
  • [40] Decision support tool - Supply chain
    Wartha, C
    Peev, M
    Borshchev, A
    Filippov, A
    [J]. PROCEEDINGS OF THE 2002 WINTER SIMULATION CONFERENCE, VOLS 1 AND 2, 2002, : 1297 - 1301