Cookies

We use cookies to ensure that we give you the best experience on our website. By continuing to browse this repository, you give consent for essential cookies to be used. You can read more about our Privacy and Cookie Policy.


Durham Research Online
You are in:

Mitigating supply and production uncertainties with dynamic scheduling using real-time transport information.

Mogre, R. and Wong, C.Y. and Lalwani, C.S. (2014) 'Mitigating supply and production uncertainties with dynamic scheduling using real-time transport information.', International journal of production research., 52 (17). pp. 5223-5235.

Abstract

Supply and production uncertainties can affect the scheduling and inventory performance of final production systems. Facing such uncertainties, production managers normally choose to maintain the original production schedule, or follow the first-in-first-out policy. This paper develops a new, dynamic algorithm policy that considers scheduling and inventory problems, by taking advantage of real-time shipping information enabled by today’s advanced technology. Simulation models based on the industrial example of a chemical company and the Taguchi’s method are used to test these three policies under 81 experiments with varying supply and production lead times and uncertainties. Simulation results show that the proposed dynamic algorithm outperforms the other two policies for supply chain cost. Results from Taguchi’s method show that companies should focus their long-term effort on the reduction of supply lead times, which positively affects the mitigation of supply uncertainty.

Item Type:Article
Keywords:Simulation, Supply uncertainty, Production uncertainty, Dynamic scheduling, Information sharing.
Full text:(AM) Accepted Manuscript
Download PDF
(456Kb)
Status:Peer-reviewed
Publisher Web site:https://doi.org/10.1080/00207543.2014.900201
Publisher statement:This is an Accepted Manuscript of an article published by Taylor & Francis Group in International Journal of Production Research on 24/03/2014, available online at: http://www.tandfonline.com/10.1080/00207543.2014.900201.
Date accepted:19 February 2014
Date deposited:14 September 2015
Date of first online publication:24 March 2014
Date first made open access:No date available

Save or Share this output

Export:
Export
Look up in GoogleScholar