Keep or return? Managing ordering and return policies in start-up companies
Keep or return? Managing ordering and return policies in start-up companies
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. We find that start-up companies may need to be riskier if the return price is very low, but there is a period where a start-up firm becomes more cautious than an established company and there is a point, as it accumulates capital, where it starts behaving as an established firm. We compare the various models and give conditions under which their policies are equivalent.
inventory, markov processes, dynamic programming
1356-3548
97-113
Possani, Edgar
a811956e-a248-4996-b2a1-5290148e3868
Thomas, Lyn C.
a3ce3068-328b-4bce-889f-965b0b9d2362
Archibald, Thomas W.
7b19237f-0d39-4979-88c5-5c40090991ee
16 May 2007
Possani, Edgar
a811956e-a248-4996-b2a1-5290148e3868
Thomas, Lyn C.
a3ce3068-328b-4bce-889f-965b0b9d2362
Archibald, Thomas W.
7b19237f-0d39-4979-88c5-5c40090991ee
Possani, Edgar, Thomas, Lyn C. and Archibald, Thomas W.
(2007)
Keep or return? Managing ordering and return policies in start-up companies.
European Journal of Operational Research, 179 (1), .
(doi:10.1016/j.ejor.2006.01.044).
Abstract
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. We find that start-up companies may need to be riskier if the return price is very low, but there is a period where a start-up firm becomes more cautious than an established company and there is a point, as it accumulates capital, where it starts behaving as an established firm. We compare the various models and give conditions under which their policies are equivalent.
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Published date: 16 May 2007
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Article in Press
Keywords:
inventory, markov processes, dynamic programming
Identifiers
Local EPrints ID: 35944
URI: http://eprints.soton.ac.uk/id/eprint/35944
ISBN: 1356-3548
ISSN: 0377-2217
PURE UUID: a87fb37c-6c0f-4cc0-bbe6-5b0f2b9a89f0
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Date deposited: 28 Jun 2006
Last modified: 15 Mar 2024 07:55
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Contributors
Author:
Edgar Possani
Author:
Lyn C. Thomas
Author:
Thomas W. Archibald
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