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Convex optimization problems in supply chain planning and their solution by a column generation method based on the Frank Wolfe method
Department of Business Administration, Technological Educational Institute of Central Macedonia.
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.ORCID iD: 0000-0001-8473-3663
Number of Authors: 22016 (English)In: Operational Research, ISSN 1109-2858, E-ISSN 1866-1505, Vol. 16, no 3, p. 401-421Article in journal (Refereed) Published
Abstract [en]

Many problems in supply chain optimization concern the minimization of a differentiable convex objective function subject to a set of linear constraints. The aim of this work is to present a number of such problems and to propose an efficient method for their solution. The proposed method is based on improvements of the well known Frank–Wolfe algorithm. The computational results of the proposed algorithm demonstrate its effectiveness and efficiency

Place, publisher, year, edition, pages
2016. Vol. 16, no 3, p. 401-421
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Industrial Logistics
Identifiers
URN: urn:nbn:se:ltu:diva-14092DOI: 10.1007/s12351-015-0205-xISI: 000386617600002Scopus ID: 2-s2.0-84944704249Local ID: d68fd4b0-7e6e-499e-b287-b0a5da6aec86OAI: oai:DiVA.org:ltu-14092DiVA, id: diva2:987046
Note

Validerad; 2016; Nivå 2; 2016-11-17 (rokbeg)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved

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Karakitsiou, AthanasiaMigdalas, Athanasios

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