A review of evolutionary algorithms for multi objective multi product multi modal distribution problem with a possible new approach
P. Parthiban,
P. Venkateswara Reddy and
S. Arunachalam
International Journal of Logistics Economics and Globalisation, 2011, vol. 3, issue 1, 1-16
Abstract:
Transportation industry is a fairly large industry in today's globalised world, and has significant effect too. Each and every big or small industry is bound to use the transportation facilities or logistics. The main problems in this logistics operation are optimising the cost, time, distance travelled, back orders and surpluses. In most of the studies, one or two of the aspects mentioned above has been taken into consideration and solved accordingly. Again in a lot of studies, it was assumed that the demand structure, inventory structure, structure of cluster formation and structure of route formation are of deterministic nature. This study is reviewing the previous attempts to solve different aspects of distribution problems, and simultaneously proposing alternative way of attempts.
Keywords: evolutionary algorithms; transportation facilities; multi-objective distribution; multi-product distribution; multi-modal distribution; costs; time optimisation; distance travelled; back orders; surpluses; demand structure; inventories; cluster formation; route formation; routes; deterministic attributes; logistics management; economics; globalisation. (search for similar items in EconPapers)
Date: 2011
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=41422 (text/html)
Access to full text is restricted to subscribers.
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:ids:injleg:v:3:y:2011:i:1:p:1-16
Access Statistics for this article
More articles in International Journal of Logistics Economics and Globalisation from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().