In this chapter, a new hybrid approach combining the Fuzzy Analytic Hierarchy Process (AHP) and the Bees Algorithm is proposed in order to solve the supplier selection problem. The Fuzzy Analytic Hierarchy Process is used to determine the importance weight of each criterion and sub-criterion considered for the supplier selection, which are quality, cost, service level, supplier profile and risk. These weights are utilized in a mathematical model to determine the optimum order level of each row material from each supplier. The model considers capacity, demand, on-time delivery, quality and bill of materials. To determine the optimum order levels, the Bees Algorithm is applied to optimize this NP-hard type model under the constraints. The results showed that the Bees Algorithm performed better than Genetic Algorithm during the optimization stage.
|Title of host publication||Handbook of Research on Advanced Computational Techniques for Simulation-Based Engineering|
|Place of Publication||Hersey, PA|
|Number of pages||24|
|ISBN (Print)||9781466694798, 1466694793|
|Publication status||Published - 2016|
Bibliographical noteThe full text is not available on the repository.
Yuce, B., & Mastrocinque, E. (2016). A Hybrid Approach using the Bees Algorithm and Fuzzy-AHP for Supplier Selection. In P. Samui (Ed.), Handbook of Research on Advanced Computational Techniques for Simulation-Based Engineering (pp. 171-194). Hersey, PA: IGI Global. https://doi.org/10.4018/978-1-4666-9479-8.ch007