The development of a simulation-based approach to optimise the inventory policy in a single-echelon supply chain: a case study
Inventory control is one way to increase profit margins without altering resources. A spreadsheet model was developed for the inventory control of packaging material in a real case study from a fruit juice manufacturing firm. The contribution of this paper is the construction of a spreadsheet model that incorporates a dynamic re-order point policy logic; using the result from the spreadsheet-based approach and analytical approximation method, a best alternate ordering policy for a single-echelon supply chain can be developed by the statistical analysis of the dynamic re-order point, static re-order point and existing ordering policies and the flexibility of the optimal ordering policy was evaluated using a randomly generated demand. The objective of this work is to develop the best ordering policy with a low total inventory cost to ensure a better service efficiency level across a single-echelon supply chain. The reduction in the total inventory costs obtained from the spreadsheet-based approach is compared with the analytical approximation method. This paper provides a basic understanding with respect to the development of an ordering policy for a single-echelon supply chain.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 1 (2008)
Issue (Month): 2 ()
|Contact details of provider:|| Web page: http://www.inderscience.com/browse/index.php?journalID=282|
When requesting a correction, please mention this item's handle: RePEc:ids:injdan:v:1:y:2008:i:2:p:173-192. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Darren Simpson)
If references are entirely missing, you can add them using this form.