A Nelder and Mead Methodology for Solving Small Fixed-Charge Transportation Problems

G. Kannan, P. Senthil, P. Sasikumar and V.P. Vinay
Additional contact information
G. Kannan: National Institute of Technology, India
P. Senthil: National Institute of Technology, India
P. Sasikumar: National Institute of Technology, India
V.P. Vinay: National Institute of Technology, India

International Journal of Information Systems and Supply Chain Management (IJISSCM), 2008, vol. 1, issue 4, 60-72

Abstract: The term ‘supply chain management’ has become common in the business world, which can be understood from the positive results of research in the area, particularly in supply chain optimization. Transportation is a frontier in achieving the objectives of the supply chain. Thrust is also given to optimization problems in transportation. The fixed-charge transportation problem is an extension of the transportation problem that includes a fixed cost, along with a variable cost that is proportional to the amount shipped. This article approaches the problem with another meta-heuristics known as the Nelder and Mead methodology to save the computational time with little iteration and obtain better results with the help of a program in C++.

Date: 2008
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 18/jisscm.2008100104 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jisscm:v:1:y:2008:i:4:p:60-72

Access Statistics for this article

International Journal of Information Systems and Supply Chain Management (IJISSCM) is currently edited by John Wang

More articles in International Journal of Information Systems and Supply Chain Management (IJISSCM) from IGI Global
Bibliographic data for series maintained by Journal Editor ().