A multi-product newsvendor problem with budget and loss constraints
dc.contributor.author | Zhou, Y. | |
dc.contributor.author | Chen, X. | |
dc.contributor.author | Xu, X. | |
dc.contributor.author | Yu, Changjun | |
dc.date.accessioned | 2017-01-30T14:51:09Z | |
dc.date.available | 2017-01-30T14:51:09Z | |
dc.date.created | 2014-12-18T20:00:32Z | |
dc.date.issued | 2014 | |
dc.identifier.citation | Zhou, Y. and Chen, X. and Xu, X. and Yu, C. 2014. A multi-product newsvendor problem with budget and loss constraints. International Journal of Information Technology & Decision Making. 13 (2): pp. 1-18. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/41396 | |
dc.identifier.doi | 10.1142/S0219622014500448 | |
dc.description.abstract |
The solution space of a multi-product newsvendor problem (MPNP) with two constraints is analyzed and divided by four cases. One constraint is a loss constraint, which is nonlinear and has the integral symbol, while the other is a budget constraint. The threshold values of different solution regions are calculated and the corresponding solving methods for each case are provided, reducing the complexity of problem solving. The paper suggests the loss-based marginal utility deleting method solves non-negative constraint problems, and the linear approximate approach deals with nonlinear constraint optimal problems with an integral symbol in the model. Numerical examples are given, showing that the solving approach is more effective. | |
dc.publisher | World Scienfitic | |
dc.subject | - the loss-based marginal utility deleting method | |
dc.subject | Multi-product newsvendor problem (MPNP) | |
dc.subject | nonlinear optimization | |
dc.subject | approximate programming | |
dc.subject | solution space | |
dc.title | A multi-product newsvendor problem with budget and loss constraints | |
dc.type | Journal Article | |
dcterms.source.volume | 13 | |
dcterms.source.startPage | 1 | |
dcterms.source.endPage | 18 | |
dcterms.source.issn | 02196220 | |
dcterms.source.title | International Journal of Information Technology & Decision Making | |
curtin.department | Department of Mathematics and Statistics | |
curtin.accessStatus | Fulltext not available |