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dc.contributor.authorBeauchamp, Hayden ( )
dc.contributor.authorNovoa, Clara ( )
dc.contributor.authorAmeri, Farhad ( Orcid Icon 0000-0001-6470-8073 )
dc.date.accessioned2020-04-21T14:17:36Z
dc.date.available2020-04-21T14:17:36Z
dc.date.issued2015-09
dc.identifier.citationBeauchamp, H., Novoa, C., & Ameri, F. (2015). Supplier selection and order allocation based on integer programming. International Journal of Operations Research and Information Systems, 6(3), pp. 60-79.en_US
dc.identifier.issn1947-9336
dc.identifier.urihttps://digital.library.txstate.edu/handle/10877/9659
dc.description.abstractThe ability to assess and select new suppliers quickly and efficiently is a critical requirement for improving the agility of manufacturing supply chains. The Digital Manufacturing Market (DMM) is a web-based platform for intelligent supply chain configuration. This research enhances the DMM's performance by developing a column generation method for solving the supplier selection problem. The objective of the proposed method is to maximize the technological competencies of the selected suppliers while meeting their capacity constraints. The column generation method resolves the issue of limited scalability of a traditional linear programming formulation and can be integrated into the DMM. Additionally, using test generated problems, this research evaluates the effect on reducing the threshold distance traveled by semi-finished parts in the work orders. The results show that an economy of distance can be imposed with little effect on average match compatibility.en_US
dc.formatText
dc.format.extent20 pages
dc.format.medium1 file (.pdf)
dc.language.isoen_USen_US
dc.publisherIGI Globalen_US
dc.sourceInternational Journal of Operations Research and Information Systems, 2015, Vol. 6, No. 3, pp. 60-79.
dc.subjectManufacturing supply chainen_US
dc.subjectDigital Manufacturing Marketen_US
dc.titleSupplier Selection and Order Allocation Based on Integer Programmingen_US
txstate.documenttypeArticle
dc.rights.holderCopyright © 2015, IGI Global.
dc.identifier.doihttps://doi.org/10.4018/IJORIS.2015070103
txstate.departmentIngram School of Engineering


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