B2B multi-attribute e-procurement: an artificial immune system based goal programming approach.
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| Title: | B2B multi-attribute e-procurement: an artificial immune system based goal programming approach. |
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| Authors: | Chan, F.T.S.1 (AUTHOR) mffchan@inet.polyu.edu.hk, Shukla, M.2 (AUTHOR), Tiwari, M.K.3 (AUTHOR), Shankar, R.4 (AUTHOR), Choy, K.L.1 (AUTHOR) |
| Source: | International Journal of Production Research. Jan2011, Vol. 49 Issue 2, p321-341. 21p. 3 Diagrams, 3 Charts, 6 Graphs. |
| Subjects: | Electronic procurement, Computer simulation of immune system, Trends, Electronic commerce, Bids, Time-based pricing |
| Abstract: | This paper presents an artificial immune system (AIS) based goal programming approach for a multi-attribute e-procurement system. Current trends reveal that procurers are now concerned with various attributes of supplier selection, rather than negotiating only on cost. The scenario considered in this paper pertains to the procurement of an homogenous item in a large quantity. In these circumstances, procurers are forced to incorporate multi-attribute bids, dynamics pricing, related business requirements and multiple criteria in bid evaluation. The prime objective is to decide on the supplier and the quantity to be procured from the selected supplier. The problem considered here is NP hard, even without taking into account business constraints, and it becomes computationally prohibitive with an increase in the number of bids and the number of attribute values. In order to solve this problem with minimal computational time and effort, an evolutionary algorithm AIS with a goal programming technique is adopted. The working of the AIS based goal programming approach is evaluated by implementing it for a few simulated problem instances of changing complexity. The effectiveness of the proposed approach is established by a comparative study with other established evolutionary approaches such as a genetic algorithm and a simulated annealing algorithm. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd 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.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 55309750 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: B2B multi-attribute e-procurement: an artificial immune system based goal programming approach. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Chan%2C+F%2ET%2ES%2E%22">Chan, F.T.S.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> mffchan@inet.polyu.edu.hk</i><br /><searchLink fieldCode="AR" term="%22Shukla%2C+M%2E%22">Shukla, M.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tiwari%2C+M%2EK%2E%22">Tiwari, M.K.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Shankar%2C+R%2E%22">Shankar, R.</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Choy%2C+K%2EL%2E%22">Choy, K.L.</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Production+Research%22">International Journal of Production Research</searchLink>. Jan2011, Vol. 49 Issue 2, p321-341. 21p. 3 Diagrams, 3 Charts, 6 Graphs. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Electronic+procurement%22">Electronic procurement</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation+of+immune+system%22">Computer simulation of immune system</searchLink><br /><searchLink fieldCode="DE" term="%22Trends%22">Trends</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+commerce%22">Electronic commerce</searchLink><br /><searchLink fieldCode="DE" term="%22Bids%22">Bids</searchLink><br /><searchLink fieldCode="DE" term="%22Time-based+pricing%22">Time-based pricing</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper presents an artificial immune system (AIS) based goal programming approach for a multi-attribute e-procurement system. Current trends reveal that procurers are now concerned with various attributes of supplier selection, rather than negotiating only on cost. The scenario considered in this paper pertains to the procurement of an homogenous item in a large quantity. In these circumstances, procurers are forced to incorporate multi-attribute bids, dynamics pricing, related business requirements and multiple criteria in bid evaluation. The prime objective is to decide on the supplier and the quantity to be procured from the selected supplier. The problem considered here is NP hard, even without taking into account business constraints, and it becomes computationally prohibitive with an increase in the number of bids and the number of attribute values. In order to solve this problem with minimal computational time and effort, an evolutionary algorithm AIS with a goal programming technique is adopted. The working of the AIS based goal programming approach is evaluated by implementing it for a few simulated problem instances of changing complexity. The effectiveness of the proposed approach is established by a comparative study with other established evolutionary approaches such as a genetic algorithm and a simulated annealing algorithm. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd 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.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/00207540902922802 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 21 StartPage: 321 Subjects: – SubjectFull: Electronic procurement Type: general – SubjectFull: Computer simulation of immune system Type: general – SubjectFull: Trends Type: general – SubjectFull: Electronic commerce Type: general – SubjectFull: Bids Type: general – SubjectFull: Time-based pricing Type: general Titles: – TitleFull: B2B multi-attribute e-procurement: an artificial immune system based goal programming approach. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chan, F.T.S. – PersonEntity: Name: NameFull: Shukla, M. – PersonEntity: Name: NameFull: Tiwari, M.K. – PersonEntity: Name: NameFull: Shankar, R. – PersonEntity: Name: NameFull: Choy, K.L. IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 01 Text: Jan2011 Type: published Y: 2011 Identifiers: – Type: issn-print Value: 00207543 Numbering: – Type: volume Value: 49 – Type: issue Value: 2 Titles: – TitleFull: International Journal of Production Research Type: main |
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