Single-source, single-destination, multi product EOQ model with quantity discount incorporating partial/full truckload policy

Sandhya Bajaj, P.C. Jha and K.K. Aggarwal

International Journal of Business Performance and Supply Chain Modelling, 2013, vol. 5, issue 2, 198-220

Abstract: Supply chain is the sequence of business processes and activities from suppliers through customers that provide products, services and information to achieve customer satisfaction, i.e., a chain that can quickly respond to customer's requirement. Integration of different entities in the supply chain is an important way to gain competitive advantage and customer satisfaction as it lowers the supply chain cost. In the present study mathematical models are developed to compute optimal order for integrated inventory-transportation problem with two modes of transportation namely, truck load (TL) and less-than-truckload (LTL) carriers by introducing all unit and incremental quantity discount structure into analysis. Finite planning horizon and dynamic demand is assumed to make ordering decisions. A case is provided to testify and validate the procedure.

Keywords: supply chain management; SCM; full truckload; partial truckload; less-than-truckload; quantity discount; EOQ models; economic order quantity; mathematical modelling; finite planning horizon; dynamic demand; ordering decisions. (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.inderscience.com/link.php?id=53493 (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:ijbpsc:v:5:y:2013:i:2:p:198-220

Access Statistics for this article

More articles in International Journal of Business Performance and Supply Chain Modelling from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().