Article ID: | iaor200954 |
Country: | Netherlands |
Volume: | 179 |
Issue: | 1 |
Start Page Number: | 97 |
End Page Number: | 113 |
Publication Date: | May 2007 |
Journal: | European Journal of Operational Research |
Authors: | Thomas Lyn C., Archibald Thomas W., Possani Edgar |
Keywords: | markov processes, programming: dynamic |
Start-up companies are considered an important factor in the success of a nation's economy. We are interested in the decisions for long-term survival of these firms when they have considerable cash restrictions. In this paper we analyse several inventory control models to manage inventory purchasing and return policies. The Markov decision models are formulated for both established companies that look at maximising average profit and start-up companies that look at maximising their long-term survival probability. We contrast both objectives, and present properties of the policies and the survival probabilities.