EconPapers    
Economics at your fingertips  
 

Applying a hybrid transportation system to design an agile multi-product and multi-echelon dynamic supply chain

Mohammad Nikzamir

International Journal of Mathematics in Operational Research, 2017, vol. 10, issue 3, 261-285

Abstract: Making optimum decisions under complicated circumstances, requires using appropriate mathematical modelling techniques and optimisation methods. In many cases, supply and demand are different in principal. These major differences force producers to make various decisions for supplying required raw materials and meeting demands. Respecting the low operational and high strategic costs of applying the rail transport, it is highly recommended to use this method of transportation for the purpose of transporting huge load of materials/products in a centralised network. However, using vehicles and road transport is more suitable for small loads of materials/products in widespread networks. Current study is devoted to design an efficient hybrid transportation system and an agile multi-product supply chain. A mathematical model is presented in order to formulate the problem at hand. Numerical results demonstrate the validity of the presented model and the applied optimisation procedure in making optimum and applicable decisions. In fact, numerical results reveal the promising ability of the applied optimisation procedure confronting real-world situations.

Keywords: agile supply chains; multi-product supply chains; multi-echelon supply chains; dynamic supply chains; optimisation; mathematical modelling; hybrid transport systems; operational research; supply chain agility; supply chain management; SCM; rail transport; road transport. (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=83184 (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:ijmore:v:10:y:2017:i:3:p:261-285

Access Statistics for this article

More articles in International Journal of Mathematics in Operational Research from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().

 
Page updated 2025-03-19
Handle: RePEc:ids:ijmore:v:10:y:2017:i:3:p:261-285