Diversity of payment contracts in a decentralized assembly system
Mengqi Liu and
Xu Guan ()
Additional contact information
Guo Li: Beijing Institute of Technology
Mengqi Liu: Hunan University
Xu Guan: Wuhan University
Annals of Operations Research, 2017, vol. 257, issue 1, No 26, 613-639
Abstract Conventional wisdom views that in an assembly system, suppliers have to accept a unified payment contract when transacting with a manufacturer. However, in practice, the implementation of a payment contract is clearly more dependent on the channel power of the supplier in the supply chain. This paper considers an assembly system consisting of two suppliers with different channel powers, and identifies three payment contracts, namely, on-delivery payment, on-agreed-time payment, and ready-to-assemble payment. We investigate the equilibrium delivery and timing decisions of firms under three different cases distinguished by the combinations of different payment contracts in the system. Based on both theoretical and quantitative analyses, three major results are obtained. First, the delivery times of suppliers are cost-driven and time-related. Second, the buffer time of the manufacturer can balance the production lead times of the supplier. Third, the supply chain achieves the lowest cost when the core supplier chooses an on-agreed-time payment contract, and the general supplier adopts a ready-to-assemble payment contract.
Keywords: Assembly system; Payment contracts; Comparative analysis; Game theory (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
http://link.springer.com/10.1007/s10479-015-1966-6 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:annopr:v:257:y:2017:i:1:d:10.1007_s10479-015-1966-6
Ordering information: This journal article can be ordered from
Access Statistics for this article
Annals of Operations Research is currently edited by Endre Boros
More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla ().