Abstract
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 12th International Conference, 18-21 June 2012, Salvador de Bahia, Brazil, Proceedings Part III |
| Editors | B. Murgante, G. Osvaldo, S. Misra |
| Place of Publication | Heidelberg |
| Publisher | Springer |
| Pages | 45-56 |
| Volume | 7333 |
| ISBN (Print) | 9783642311376 |
| DOIs | |
| Publication status | Published - 2012 |
| Event | ICCSA 2012, part III - Duration: 18 Jun 2012 → 21 Jun 2012 |
Conference
| Conference | ICCSA 2012, part III |
|---|---|
| Period | 18/06/12 → 21/06/12 |
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On solving a stochastic programming model for perishable inventory control. / Hendrix, E.M.T.; Haijema, R.; Rossi, R.; Pauls-Worm, K.G.J.
Proceedings of the 12th International Conference, 18-21 June 2012, Salvador de Bahia, Brazil, Proceedings Part III. ed. / B. Murgante; G. Osvaldo; S. Misra. Vol. 7333 Heidelberg : Springer, 2012. p. 45-56.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Academic › peer-review
TY - GEN
T1 - On solving a stochastic programming model for perishable inventory control
AU - Hendrix, E.M.T.
AU - Haijema, R.
AU - Rossi, R.
AU - Pauls-Worm, K.G.J.
PY - 2012
Y1 - 2012
N2 - This paper describes and analyses a Stochastic Programming (SP) model that is used for a specific inventory control problem for a perishable product. The decision maker is confronted with a non-stationary random demand for a fixed shelf life product and wants to make an ordering plan for a finite horizon that satisfies a service level constraint. In literature several approaches have been described to generate approximate solutions. The question dealt with here is whether exact approaches can be developed that generate solutions up to a guaranteed accuracy. Specifically, we look into the implications of a Stochastic Dynamic Programming (SDP) approach.
AB - This paper describes and analyses a Stochastic Programming (SP) model that is used for a specific inventory control problem for a perishable product. The decision maker is confronted with a non-stationary random demand for a fixed shelf life product and wants to make an ordering plan for a finite horizon that satisfies a service level constraint. In literature several approaches have been described to generate approximate solutions. The question dealt with here is whether exact approaches can be developed that generate solutions up to a guaranteed accuracy. Specifically, we look into the implications of a Stochastic Dynamic Programming (SDP) approach.
U2 - 10.1007/978-3-642-31137-6_4
DO - 10.1007/978-3-642-31137-6_4
M3 - Conference paper
SN - 9783642311376
VL - 7333
SP - 45
EP - 56
BT - Proceedings of the 12th International Conference, 18-21 June 2012, Salvador de Bahia, Brazil, Proceedings Part III
A2 - Murgante, B.
A2 - Osvaldo, G.
A2 - Misra, S.
PB - Springer
CY - Heidelberg
ER -