Supply chain performance assessment and supplier and component importance identification in a general competitive multitiered supply chain network model
Dong Li and
Anna Nagurney ()
Additional contact information
Dong Li: Arkansas State University
Anna Nagurney: University of Massachusetts
Journal of Global Optimization, 2017, vol. 67, issue 1, No 11, 223-250
Abstract In this paper, we develop a multitiered competitive supply chain network game theory model, which includes the supplier tier. The firms are differentiated by brands and can produce their own components, as reflected by their capacities, and/or obtain components from one or more suppliers, who also are capacitated. The firms compete in a Cournot–Nash fashion, whereas the suppliers compete a la Bertrand since firms are sensitive to prices. All decision-makers seek to maximize their profits with consumers reflecting their preferences through the demand price functions associated with the demand markets for the firms’ products. We construct supply chain network performance measures for the full supply chain and the individual firm levels that assess the efficiency of the supply chain or firm, respectively, and also allow for the identification and ranking of the importance of suppliers as well as the components of suppliers with respect to the full supply chain or individual firm. The framework is illustrated through a series of numerical supply chain network examples.
Keywords: Supply chains; Networks; Suppliers; Game theory; Performance assessment; Importance indicators (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2) Track citations by RSS feed
Downloads: (external link)
http://link.springer.com/10.1007/s10898-015-0371-7 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:spr:jglopt:v:67:y:2017:i:1:d:10.1007_s10898-015-0371-7
Ordering information: This journal article can be ordered from
http://www.springer. ... search/journal/10898
Access Statistics for this article
Journal of Global Optimization is currently edited by Sergiy Butenko
More articles in Journal of Global Optimization from Springer
Bibliographic data for series maintained by Sonal Shukla ().