Academic Journal
A Constraint Logic Programming Algorithm for Modeling Dynamic Pricing.
| Τίτλος: | A Constraint Logic Programming Algorithm for Modeling Dynamic Pricing. |
|---|---|
| Συγγραφείς: | Oliveira, Fernando S. |
| Πηγή: | INFORMS Journal on Computing; Winter2008, Vol. 20 Issue 1, p69-77, 9p, 1 Chart, 7 Graphs |
| Θεματικοί όροι: | Computer programming, Information resources management, Knowledge management, Algorithms, Constraint programming, Revenue management, Artificial intelligence, SIMSCRIPT (Computer program language), Electronic commerce |
| Περίληψη: | We extend Lemke's algorithm to solve a dynamic pricing problem. We identify an instance in which Lemke's algorithm fails to converge to an optimal solution (when an optimum does exist) and propose a constraint logic programming solution to this problem. We analyze the complexity of the extended Lemke's algorithm. Our analysis shows that, in the short term, dynamic pricing can be used to improve resource management efficiency. It is also shown that dynamic pricing can be used to manage the long-term behavior of demand. [ABSTRACT FROM AUTHOR] |
| Copyright of INFORMS Journal on Computing is the property of INFORMS: Institute for Operations Research & the Management Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Βάση Δεδομένων: | Complementary Index |
| FullText | Text: Availability: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A Constraint Logic Programming Algorithm for Modeling Dynamic Pricing. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Oliveira%2C+Fernando+S%2E%22">Oliveira, Fernando S.</searchLink> – Name: TitleSource Label: Source Group: Src Data: INFORMS Journal on Computing; Winter2008, Vol. 20 Issue 1, p69-77, 9p, 1 Chart, 7 Graphs – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Computer+programming%22">Computer programming</searchLink><br /><searchLink fieldCode="DE" term="%22Information+resources+management%22">Information resources management</searchLink><br /><searchLink fieldCode="DE" term="%22Knowledge+management%22">Knowledge management</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Constraint+programming%22">Constraint programming</searchLink><br /><searchLink fieldCode="DE" term="%22Revenue+management%22">Revenue management</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22SIMSCRIPT+%28Computer+program+language%29%22">SIMSCRIPT (Computer program language)</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+commerce%22">Electronic commerce</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: We extend Lemke's algorithm to solve a dynamic pricing problem. We identify an instance in which Lemke's algorithm fails to converge to an optimal solution (when an optimum does exist) and propose a constraint logic programming solution to this problem. We analyze the complexity of the extended Lemke's algorithm. Our analysis shows that, in the short term, dynamic pricing can be used to improve resource management efficiency. It is also shown that dynamic pricing can be used to manage the long-term behavior of demand. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of INFORMS Journal on Computing is the property of INFORMS: Institute for Operations Research & the Management Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=31413797 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1287/ijoc.1060.0218 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 69 Subjects: – SubjectFull: Computer programming Type: general – SubjectFull: Information resources management Type: general – SubjectFull: Knowledge management Type: general – SubjectFull: Algorithms Type: general – SubjectFull: Constraint programming Type: general – SubjectFull: Revenue management Type: general – SubjectFull: Artificial intelligence Type: general – SubjectFull: SIMSCRIPT (Computer program language) Type: general – SubjectFull: Electronic commerce Type: general Titles: – TitleFull: A Constraint Logic Programming Algorithm for Modeling Dynamic Pricing. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Oliveira, Fernando S. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Winter2008 Type: published Y: 2008 Identifiers: – Type: issn-print Value: 10919856 Numbering: – Type: volume Value: 20 – Type: issue Value: 1 Titles: – TitleFull: INFORMS Journal on Computing Type: main |
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