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PCDM: a decision support modeling methodology for supply chain, product and process design decisions
Author(s) -
Blackhurst Jennifer,
Wu Tong,
O’Grady Peter
Publication year - 2005
Publication title -
journal of operations management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.649
H-Index - 191
eISSN - 1873-1317
pISSN - 0272-6963
DOI - 10.1016/j.jom.2004.05.009
Subject(s) - supply chain , computer science , product design , product (mathematics) , process (computing) , supply chain risk management , supply chain management , task (project management) , service management , process management , risk analysis (engineering) , manufacturing engineering , systems engineering , business , engineering , marketing , geometry , mathematics , operating system
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.