A multi-product newsvendor problem with budget and loss constraints

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...

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Bibliographic Details
Main Authors: Zhou, Y., Chen, X., Xu, X., Yu, Changjun
Format: Journal Article
Published: World Scienfitic 2014
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/41396
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author Zhou, Y.
Chen, X.
Xu, X.
Yu, Changjun
author_facet Zhou, Y.
Chen, X.
Xu, X.
Yu, Changjun
author_sort Zhou, Y.
building Curtin Institutional Repository
collection Online Access
description 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.
first_indexed 2025-11-14T09:07:22Z
format Journal Article
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T09:07:22Z
publishDate 2014
publisher World Scienfitic
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-413962017-09-13T14:13:44Z A multi-product newsvendor problem with budget and loss constraints Zhou, Y. Chen, X. Xu, X. Yu, Changjun - the loss-based marginal utility deleting method Multi-product newsvendor problem (MPNP) nonlinear optimization approximate programming solution space 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. 2014 Journal Article http://hdl.handle.net/20.500.11937/41396 10.1142/S0219622014500448 World Scienfitic restricted
spellingShingle - the loss-based marginal utility deleting method
Multi-product newsvendor problem (MPNP)
nonlinear optimization
approximate programming
solution space
Zhou, Y.
Chen, X.
Xu, X.
Yu, Changjun
A multi-product newsvendor problem with budget and loss constraints
title A multi-product newsvendor problem with budget and loss constraints
title_full A multi-product newsvendor problem with budget and loss constraints
title_fullStr A multi-product newsvendor problem with budget and loss constraints
title_full_unstemmed A multi-product newsvendor problem with budget and loss constraints
title_short A multi-product newsvendor problem with budget and loss constraints
title_sort multi-product newsvendor problem with budget and loss constraints
topic - the loss-based marginal utility deleting method
Multi-product newsvendor problem (MPNP)
nonlinear optimization
approximate programming
solution space
url http://hdl.handle.net/20.500.11937/41396