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

Single-source, single-destination, multi product EOQ model with quantity discount incorporating... 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Business Performance and Supply Chain Modelling Inderscience Publishers

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

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd. All rights reserved
ISSN
1758-9401
eISSN
1758-941X
DOI
10.1504/IJBPSCM.2013.053493
Publisher site
See Article on Publisher Site

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.

Journal

International Journal of Business Performance and Supply Chain ModellingInderscience Publishers

Published: Jan 1, 2013

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