Integrated FANP-f-MIGP model for supplier selection in the renewable energy sector
The available integrated models for choosing efficient suppliers developed so far are mostly specific to companies with mass production capabilities. However, in some sectors involved in project-type manufacturing, the same decision-making criteria cannot be applied and, plus, there is no point in d...
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| Format: | Article |
| Language: | English |
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Vilnius Gediminas Technical University
2017-06-01
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| Series: | Journal of Business Economics and Management |
| Subjects: | |
| Online Access: | https://journals.vgtu.lt/index.php/JBEM/article/view/1215 |
| _version_ | 1811191504716169216 |
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| author | Pınar Kaya Samut |
| author_facet | Pınar Kaya Samut |
| author_sort | Pınar Kaya Samut |
| collection | DOAJ |
| description | The available integrated models for choosing efficient suppliers developed so far are mostly specific to companies with mass production capabilities. However, in some sectors involved in project-type manufacturing, the same decision-making criteria cannot be applied and, plus, there is no point in determining the quantity of orders. For instance, in wind power plant projects, a single turbine supplier needs to be selected for each project. This study proposes an integrated FANP-f-MIGP model that ensures the selection of the optimal supplier for each project by applying the model to an energy firm. The criteria specific to the selection of wind power plant turbine suppliers are established, and the criteria weights are obtained by fuzzy analytic network process (FANP). As a result of the analysis, the most important criterion of all is cost. These weights constitute the coefficients of the f-MIGP model’s objective function. Under the defined constraints, by minimizing cost and risk and maximizing quality and services of the firm, the selection of an optimal wind turbine supplier from three suppliers for each of three projects is ensured. This study contributes to the literature both by the specific criteria it establishes and its proposed integrated model which allows for the selection of the best supplier in wind turbine and similar project-based productions. |
| first_indexed | 2024-04-11T15:06:59Z |
| format | Article |
| id | doaj.art-2ea7a795dcd7414b8a104a9916678ddb |
| institution | Directory Open Access Journal |
| issn | 1611-1699 2029-4433 |
| language | English |
| last_indexed | 2024-04-11T15:06:59Z |
| publishDate | 2017-06-01 |
| publisher | Vilnius Gediminas Technical University |
| record_format | Article |
| series | Journal of Business Economics and Management |
| spelling | doaj.art-2ea7a795dcd7414b8a104a9916678ddb2022-12-22T04:16:47ZengVilnius Gediminas Technical UniversityJournal of Business Economics and Management1611-16992029-44332017-06-0118310.3846/16111699.2017.1325777Integrated FANP-f-MIGP model for supplier selection in the renewable energy sectorPınar Kaya Samut0Faculty of Management, Department of Management, Atilim University, 06836, Incek Golbaşı, Ankara, TurkeyThe available integrated models for choosing efficient suppliers developed so far are mostly specific to companies with mass production capabilities. However, in some sectors involved in project-type manufacturing, the same decision-making criteria cannot be applied and, plus, there is no point in determining the quantity of orders. For instance, in wind power plant projects, a single turbine supplier needs to be selected for each project. This study proposes an integrated FANP-f-MIGP model that ensures the selection of the optimal supplier for each project by applying the model to an energy firm. The criteria specific to the selection of wind power plant turbine suppliers are established, and the criteria weights are obtained by fuzzy analytic network process (FANP). As a result of the analysis, the most important criterion of all is cost. These weights constitute the coefficients of the f-MIGP model’s objective function. Under the defined constraints, by minimizing cost and risk and maximizing quality and services of the firm, the selection of an optimal wind turbine supplier from three suppliers for each of three projects is ensured. This study contributes to the literature both by the specific criteria it establishes and its proposed integrated model which allows for the selection of the best supplier in wind turbine and similar project-based productions.https://journals.vgtu.lt/index.php/JBEM/article/view/1215supplier selectionproject-type manufacturingfuzzy analytic network processfuzzy mixed integer goal programmingrenewable energy sectorwind power plant |
| spellingShingle | Pınar Kaya Samut Integrated FANP-f-MIGP model for supplier selection in the renewable energy sector Journal of Business Economics and Management supplier selection project-type manufacturing fuzzy analytic network process fuzzy mixed integer goal programming renewable energy sector wind power plant |
| title | Integrated FANP-f-MIGP model for supplier selection in the renewable energy sector |
| title_full | Integrated FANP-f-MIGP model for supplier selection in the renewable energy sector |
| title_fullStr | Integrated FANP-f-MIGP model for supplier selection in the renewable energy sector |
| title_full_unstemmed | Integrated FANP-f-MIGP model for supplier selection in the renewable energy sector |
| title_short | Integrated FANP-f-MIGP model for supplier selection in the renewable energy sector |
| title_sort | integrated fanp f migp model for supplier selection in the renewable energy sector |
| topic | supplier selection project-type manufacturing fuzzy analytic network process fuzzy mixed integer goal programming renewable energy sector wind power plant |
| url | https://journals.vgtu.lt/index.php/JBEM/article/view/1215 |
| work_keys_str_mv | AT pınarkayasamut integratedfanpfmigpmodelforsupplierselectionintherenewableenergysector |