dc.contributor.advisor | Samanlıoğlu, Funda | en_US |
dc.contributor.author | Boakai, Sylivan | |
dc.date.accessioned | 2020-06-17T09:12:25Z | en_US |
dc.date.available | 2020-06-17T09:12:25Z | en_US |
dc.date.issued | 2016 | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.12469/2914 | |
dc.description.abstract | In recent years, the outsourcing of logistics functions to a third-party has been a major alternative to vertical integration. Third-party logistics provider can serve as a significant source of competitive advantage for firms aiming to focus on their core competencies. In selecting a strategic third-party logistics partner, there are many criteria and potential providers that must be carefully evaluated. Hence, third-party logistics provider selection is a multi-criteria decision-making problem; and it is extremely important that decision makers have a reliable decision support tool to select the best partner. Several multi-criteria decision making methods have been proposed. Some of these methods like Analytical Hierarchy Process (AHP) and Analytic Network Process (ANP) require decision-makers to use pairwise comparisons in order to determine their preferences. However, due to the large number of criteria and potential providers associated with third-party logistics selection decision, these pairwise comparisons might lead to a reduction in the overall consistency. This thesis addresses this issue by extending the newly proposed best-worst method to incorporate decision-makers' uncertainty and vagueness while requiring fewer comparisons as compared to a method like Fuzzy AHP. The aim of this thesis is twofold: first, a fuzzy best-worst multi-criteria decision-making method is proposed to handle the issue of larger number of comparisons and uncertainty in judgements. Secondly, the proposed method is applied to a third-party logistics selection problem at a medium-sized company in Turkey. The results of the study show that the proposed method efficiently handles decision maker's inherent uncertainty while requiring fewer number of comparisons. | en_US |
dc.description.abstract | In recent years, the outsourcing of logistics functions to a third-party has been a major alternative to vertical integration. Third-party logistics provider can serve as a significant source of competitive advantage for firms aiming to focus on their core competencies. In selecting a strategic third-party logistics partner, there are many criteria and potential providers that must be carefully evaluated. Hence, third-party logistics provider selection is a multi-criteria decision-making problem; and it is extremely important that decision makers have a reliable decision support tool to select the best partner. Several multi-criteria decision making methods have been proposed. Some of these methods like Analytical Hierarchy Process (AHP) and Analytic Network Process (ANP) require decision-makers to use pairwise comparisons in order to determine their preferences. However, due to the large number of criteria and potential providers associated with third-party logistics selection decision, these pairwise comparisons might lead to a reduction in the overall consistency. This thesis addresses this issue by extending the newly proposed best-worst method to incorporate decision-makers' uncertainty and vagueness while requiring fewer comparisons as compared to a method like Fuzzy AHP. The aim of this thesis is twofold: first, a fuzzy best-worst multi-criteria decision-making method is proposed to handle the issue of larger number of comparisons and uncertainty in judgements. Secondly, the proposed method is applied to a third-party logistics selection problem at a medium-sized company in Turkey. The results of the study show that the proposed method efficiently handles decision maker's inherent uncertainty while requiring fewer number of comparisons. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Kadir Has Üniversitesi | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Logistics service provider | en_US |
dc.subject | Fuzzy best-worst method | en_US |
dc.subject | Analytical Hierarchy Process | en_US |
dc.subject | Bulanık en iyi-en kötü metodu | en_US |
dc.subject | Lojistik hizmet sunucusu | en_US |
dc.subject | Analitik Hiyerarşi Süreci | en_US |
dc.title | A fuzzy best-worst multi-criteria decision-making method for third-party logistics provider selection | en_US |
dc.type | masterThesis | en_US |
dc.department | Enstitüler, Lisansüstü Eğitim Enstitüsü, Endüstri Mühendisliği Ana Bilim Dalı | en_US |
dc.relation.publicationcategory | Tez | en_US |
dc.identifier.yoktezid | 430107 | en_US |