Performance analysis and optimization of hybrid manufacturing systems under a batch ordering policy
Eman Almehdawe and
Elizabeth Jewkes
International Journal of Production Economics, 2013, vol. 144, issue 1, 200-208
Abstract:
We consider a stochastic two-stage hybrid manufacturing system for a single product where semi-finished goods are Made-To-Stock (MTS) and then differentiated when demand is realized through a Make-To-Order (MTO) stage. Inventory for semi-finished goods is held between the two stages. We introduce a batch ordering policy to permit economies of scale in ordering due to a cost associated with each order placed. We use the Matrix-analytic method to evaluate system performance under this ordering policy. Afterwards, we develop an optimization model to find the optimal intermediate buffer size and the optimal replenishment order quantity for the system. We show that a base stock policy is sub-optimal in the presence of a replenishment cost for semi-finished goods. The savings from adopting the batch ordering policy can be high while the response time for most customer orders is not affected.
Keywords: Hybrid MTS–MTO manufacturing; Queueing theory; Matrix-analytic method (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0925527313000728
Full text for ScienceDirect subscribers only
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:eee:proeco:v:144:y:2013:i:1:p:200-208
DOI: 10.1016/j.ijpe.2013.02.005
Access Statistics for this article
International Journal of Production Economics is currently edited by Stefan Minner
More articles in International Journal of Production Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().