A Hybrid Approach using the Bees Algorithm and Fuzzy-AHP for Supplier Selection

2016 ◽  
pp. 171-194 ◽  
Author(s):  
Baris Yuce ◽  
Ernesto Mastrocinque
Keyword(s):  
Analytic Hierarchy Process ◽  
Supplier Selection ◽  
Fuzzy Ahp ◽  
Hybrid Approach ◽  
Fuzzy Analytic Hierarchy Process ◽  
Bees Algorithm ◽  
Type Model ◽  
Analytic Hierarchy ◽  
Optimum Order ◽  
Hierarchy Process

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.

scholarly journals Decision Modeling for Manufacturing Sustainability with Fuzzy Analytic Hierarchy Process

2017 ◽  
Vol 20 (1) ◽  
pp. 25-41 ◽  
Author(s):  
Lanndon A. Ocampo
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Hybrid Approach ◽  
Multiple Criteria Decision Making ◽  
Fuzzy Analytic Hierarchy Process ◽  
Manufacturing Strategy ◽  
Analytic Hierarchy ◽  
Priority List ◽  
Hierarchy Process

This article intends to integrate sustainability and the classical manufacturing strategy (MS) into a coherent hierarchical decision-making framework that identifies the content of a sustainable MS using fuzzy analytic hierarchy process (fuzzy AHP). Instead of using the traditional fundamental scale of the AHP, linguistic variables with equivalent triangular fuzzy numbers (TFNs) are used to elucidate judgement of elements in pairwise comparisons. AHP, as a widely adopted tool in multiple criteria decision making (MCDM) problems, effectively handles the subjectivity and comprehensiveness of decision-making complexity that is structured hierarchically. Domain experts in MS and sustainability were asked to elicit judgement in AHP pairwise comparison approach. Results show the content strategy of the nine decision categories in manufacturing that addresses sustainability and competitiveness. A priority list of decisions is also presented which may guide decision-makers in resource allocation, medium- and long-range planning, and in formulating strategic initiatives. The main contribution of this article is the formulation of a sustainable MS from a hybrid approach that captures uncertainty and subjectivity in decision-making.

On Moderate Fuzzy Analytic Hierarchy Process Pairwise Comparison Model With Subcriteria

2016 ◽  
Vol 2 (3) ◽  
pp. 54
Author(s):  
G. Marimuthu ◽  
G. Ramesh
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Pairwise Comparison ◽  
Decision Models ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analysis Method ◽  
Analytic Hierarchy ◽  
Comparison Model ◽  
Hierarchy Process

Decisions usually involve the getting the best solution, selecting the suitable experiments, most appropriate judgments, taking the quality results etc., using some techniques.  Every decision making can be considered as the choice from the set of alternatives based on a set of criteria.  The fuzzy analytic hierarchy process is a multi-criteria decision making and is dealing with decision making problems through pairwise comparisons mode [10].  The weight vectors from this comparison model are obtained by using extent analysis method.  This paper concern with an alternate method of finding the weight vectors from the original fuzzy AHP decision model (moderate fuzzy AHP model), that has the same rank as obtained in original fuzzy AHP and ideal fuzzy AHP decision models.

scholarly journals Sistem Pendukung Keputusan Pemberian Pembiayaan Murahabah dengan Fuzzy Analytic Hierarchy Process

Techno Com ◽  
2019 ◽  
Vol 18 (2) ◽  
pp. 178-189
Author(s):  
Siti Monalisa ◽  
Raynaldi Setiawan
Keyword(s):  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analytic Hierarchy ◽  
Hierarchy Process

BMT Al-ittihad terdapat bermacam-macam pembiayaan  salah satunya Murabahah yang berarti akad jual beli barang dengan menyatakan harga perolehan dan keuntungan (margin) yang disepakati oleh penjual dan pembeli. BMT Al-itthad dalam proses melaksanakan akad Murabahah dilakukan dengan menganalisa kelayakan pemberian pembiayaan kepada anggota dengan cara melengkapi persyaratan umum dan menggunakan bahasa yang subjektif terhadap penilaian kriteria karakter berdasarkan rekomendasi anggota lain,wawancara dan cara berkomunikasi, Penilaian karakter merupakan penilaian yang paling penting berdasarkan hasil wawancara dengan kepala pembiayaan karena penilaian karakter merupakan penilaian untuk melihat apakah anggota sanggup dan amanah membayar hutang. Untuk mengatasi penilaian yang bersifat subjektif maka dirancang sebuah sistem pendukung keputusan pemberian pembiayaan dengan menggunakan metode fuzzy analytic hierarchy process. Metode fuzzy AHP merupakan penggabungan dari metode fuzzy dan AHP. Metode fuzzy AHP dapat menutupi kelemahan yang terdapat pada AHP yaitu menangani penilaian yang bersifat subjektif . Sistem ini dirancang menggunakan bahasa pemrograman PHP, MySQL , sedangkan metode pengembangan sistem menggunakan V-model dan UML sebagai standar pemodelannya. Sistem pendukung keputusan  ini dapat memudahkan serta mempercepat proses penentuan pemberian pembiayaan Murabahah kepada anggota.

scholarly journals Multi-criteria supplier selection using fuzzy analytic hierarchy process: case study from a Brazilian railway operator

2017 ◽  
Vol 14 (3) ◽  
pp. 428 ◽  
Author(s):  
Rodrigo Barbosa de Santis ◽  
Leonardo Golliat ◽  
Eduardo Pestana de Aguiar
Keyword(s):  
Supply Chain ◽  
Analytic Hierarchy Process ◽  
Operations Management ◽  
Supplier Selection ◽  
Standard Procedure ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analytic Hierarchy ◽  
And Performance ◽  
Hierarchy Process

The supplier selection problem has been discussed in literature within the supply chain management subject and it is extremely important due to its impact on the entire supply chain configuration, strategy and performance. This work presents a decision model based on the fuzzy analytic hierarchy process method and its application in a real case of maintenance supplier selection in a large Brazilian railway operator. Eight criteria were adopted - technical capacity, financial status, relationship, operations management, security management, infrastructure, historic performance and costs - for evaluating five potential suppliers. In the case study, both first and second ranked suppliers by the method have been selected by the company for providing the services and the model was adopted as a standard procedure within the organization for contracts over US$ 300,000.

scholarly journals Assessment of the Potential of Offshore Wind Energy in Taiwan using Fuzzy Analytic Hierarchy Process

2010 ◽  
Vol 4 (1) ◽  
pp. 96-104 ◽  
Author(s):  
Tsung-Lin Lee
Keyword(s):  
Wind Energy ◽  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Offshore Wind ◽  
Fuzzy Analytic Hierarchy Process ◽  
Offshore Wind Energy ◽  
Key Factors ◽  
Analytic Hierarchy ◽  
Hierarchy Process ◽  
Selection Of

In this paper, the application of the Fuzzy Analytic Hierarchy Process (Fuzzy AHP) combined with a set of criteria analysis for the selection of appropriate sites for the development offshore wind energy in Taiwan is presented. The Fuzzy AHP was first conducted to rank the importance and identify the key factors of offshore wind energy successfully. From the numerical results, eight key factors that must be considered in the site selection of offshore wind energy system in Taiwan were obtained by using Fuzzy AHP model. They are: wind power, earthquakes, land use, shore type, typhoon, distance to shoreline, flight safety and water depth. Based on these factors, a set of criteria for the selection of sites for offshore wind farms was also established using five different sites in Taiwan. From the assessment results, it was found that Changhua coastal region is an appropriate site for offshore wind energy in Taiwan.

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