scholarly journals An integrated fuzzy AHP and TOPSIS model for evaluating the performance of raw material suppliers: A case study in lasem batik writing centre

2018 ◽  
Vol 204 ◽  
pp. 02014
Author(s):  
Diana Puspita Sari ◽  
Wismar Rizki Wijayanti ◽  
Adhie Prayogo ◽  
M. Mujiya Ulkhaq ◽  
Dyah Ika Rinawati
Keyword(s):  
Analytic Hierarchy Process ◽  
Raw Materials ◽  
Fuzzy Ahp ◽  
Raw Material ◽  
Ideal Solution ◽  
Important Criterion ◽  
Analytic Hierarchy ◽  
Hierarchy Process ◽  
Topsis Model

Batik is labelled as an identity of Indonesia as in 2009 UNESCO recognized batik as a cultural heritage of no object. The export value of batik in 2015 reached USD 156 million. This study aims to evaluate the performance of raw material suppliers using five criteria, i.e., price, quality, delivery, flexibility, and service. The combination of the fuzzy analytic hierarchy process (FAHP) and technique for others reference by similarity to ideal solution (TOPSIS) are used here to achieve the research objective. FAHP was used to determine the weight of each criterion; while TOPSIS was employed to identify the ranking of all alternatives to be considered. A case study was conducted at Lasem batik writing centre. FAHP results show that quality becomes the most important criterion with the weight of 0.266. The best suppliers of raw materials are LI, PA, and SL for fabrics, dyes, and wax respectively. Findings of this study may offer batik craftsmen in determining what are the best suppliers to be considered based on their performance.

scholarly journals An Application of Analytic Hierarchy Process and Fuzzy Analytic Hierarchy Process to The Case Type Selection Problem

2018 ◽  
Vol 1 (1) ◽  
pp. 1179-1188
Author(s):  
Tülay Korkusuz Polat
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Analytic Hierarchy Process ◽  
Raw Materials ◽  
Fuzzy Ahp ◽  
Raw Material ◽  
Fuzzy Analytic Hierarchy Process ◽  
Multi Criteria Decision Making ◽  
Analytic Hierarchy ◽  
Hierarchy Process

Business enterprises need to show high performance in their industries in order to achieve a sustainable competition. This is not related only to individual performances, and each link on supply chain may have a considerable effect on business performance. Therefore, supply chain management is quite essential to the enterprises that supplier selection is one of its key elements to be run, and another is establishing the form of packaging before the supplier delivers the ordered raw materials. Raw material costs are influenced by the ability to determine such issues as packaging way, type of case, etc., and these factors are also important to maintain the quality of material. The aim of this study is to select the type of the case for raw materials to be placed in by the supplier, in the automobile industry with very intense competition. In order to solve this multi-criteria decision making problem, the Analytic Hierarchy Process (AHP), one of the multi-criteria decision making techniques, was used. Due to the ambiguity in several paired comparisons, the problem was also resolved using the Fuzzy Analytic Hierarchy Process (Fuzzy AHP).

Fuzzy Analytic Hierarchy Process and Its Application to E-Marketplace Selection

2013 ◽  
pp. 26-44 ◽  
Author(s):  
Beyza Ahlatcioglu Ozkok ◽  
Elisa Pappalardo
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Multi Criteria Decision Making ◽  
Linguistic Variables ◽  
Analytic Hierarchy ◽  
Multi Attribute Decision Making ◽  
Electronic Parts ◽  
Hierarchy Process

Making decisions is a part of daily life. The nature of decision-making includes multiple and usually conflicting criteria. Multi Criteria Decision-Making (MCDM) problems are handled under two main headings: Multi Attribute Decision Making (MADM) and Multi Objective Decision Making (MODM). Analytic Hierarchy Process (AHP) is a widely used multi-criteria decision making approach and has successfully been applied to many practical problems. Traditional AHP requires exact or crisp judgments (numbers). However, due to the complexity and uncertainty involved in real world decision problems, decision makers might be more reluctant to provide crisp judgments than fuzzy ones. Furthermore, even when people use the same words, individual judgments of events are invariably subjective, and the interpretations that they attach to the same words may differ. This is why fuzzy numbers and fuzzy sets have been introduced to characterize linguistic variables. Here, the authors overview the most known fuzzy AHP approaches and their application, and they present a case study to select an e-marketplace for a firm, which produces and sells electronic parts of computers in Turkey.

scholarly journals A Hybrid Multi-Criteria Approach for Evaluation and Selection of Sustainable Suppliers in the Avionics Industry of Pakistan

2020 ◽  
Vol 12 (11) ◽  
pp. 4744 ◽  
Author(s):  
Noor Muhammad ◽  
Zhigeng Fang ◽  
Syed Ahsan Ali Shah ◽  
Muhammad Azeem Akbar ◽  
Ahmed Alsanad ◽  
...  
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Analytic Hierarchy Process ◽  
Public Procurement ◽  
Ideal Solution ◽  
Important Criterion ◽  
Analytic Hierarchy ◽  
The Cost ◽  
Hierarchy Process ◽  
Selection Of

Reliability and quality are the two ultimate objectives in the avionics industry. The risk of counterfeit electronics and the unavailability of screening facilities for 100% components are the most concerning areas in the supply chain of the avionics industry. Unlike most public procurement, the cost is not the only significant criterion. Unbiased decision-making criteria to accommodate all the important factors without compromising on quality, reliability, and maintainability are essential for the evaluation and selection of sustainable suppliers. Therefore, this study proposes an unbiased decision methodology based on the fuzzy analytic hierarchy process (FAHP) and the fuzzy technique for order performance by similarity to ideal solution (FTOPSIS). In the first phase, six main and twenty-one sub-criteria are selected from the literature and empirically validated by experts of the avionics industry. FAHP is used to evaluate the weight of the main criteria and sub-criteria. FTOPSIS is used to prioritize eight alternatives (suppliers) concerning their effectiveness and superiority in finding the best alternatives. The results of the FAHP reveal that traceability (T) is the most important criterion, followed by quality (Q), and cost (C), which rank as the second and third most significant criteria. The results of the FTOPSIS rate supplier 8, supplier 2, and supplier 1 as the first, second, and third most effective suppliers, respectively.

scholarly journals Evaluating Museum Virtual Tours: The Case Study of Italy

Information ◽  
2019 ◽  
Vol 10 (11) ◽  
pp. 351 ◽  
Author(s):  
Katerina Kabassi ◽  
Alessia Amelio ◽  
Vasileios Komianos ◽  
Konstantinos Oikonomou
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Topsis ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Analytic Hierarchy ◽  
The Status ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

Virtual tours in museums are an ideal solution for those that are not able to visit a museum or those who want to have a small taste of what is presented in the museum before their visit. However, these tours often encounter severe problems while users interact with them. In order to check the status of virtual tours of museums, we present the implementation of an evaluation experiment that uses a combination of two multi-criteria decision making theories, namely the analytic hierarchy process (AHP) and the fuzzy technique for order of preference by similarity to ideal solution (TOPSIS). AHP has been used for the estimation of the weights of the heuristics and fuzzy TOPSIS has been used for the evaluation of virtual tours of museums. This paper presents the exact steps that have to be followed in order to implement such an experiment and run an example experiment for virtual tours of Italian museums.

scholarly journals Analytic Hierarchy Process (AHP) dan Fuzzy TOPSIS pada Pemilihan Himpunan Pairing Terpilih dari Jadwal Penerbangan

2020 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
Dinita Rahmalia ◽  
Awawin Mustana Rohmah ◽  
Nuril Lutvi Azizah
Keyword(s):  
Analytic Hierarchy Process ◽  
Greedy Algorithm ◽  
Fuzzy Ahp ◽  
Fuzzy Topsis ◽  
Ideal Solution ◽  
Fuel Cost ◽  
Analytic Hierarchy ◽  
Simulation Results ◽  
Hierarchy Process

In the flight industry, there are two highest costs such as fuel cost and crew cost. The crew cost is affected by pairings selected from flight schedule. This research will explain about selecting the set of selected pairings using Analytic Hierarchy Process (AHP) and Fuzzy Technique for Order Performance by Similarity to Ideal Solution (Fuzzy TOPSIS). Before using either Fuzzy AHP or Fuzzy TOPSIS, it will be formed collection of the set of selected pairings using greedy algorithm. After collection of the set of selected pairings is formed, then we determine goal and criteria. The goal is selecting the set of selected pairings from some alternatives. For each the set of selected pairings, there are some criterions such as the number of deadhead, the number of pairing A2, the number of pairing A3, the number of pairing A4, the number of pairing A5, and the number of pairing A6. Based on simulation results, both AHP and Fuzzy TOPSIS can select and give the rank of priority in entire the set of selected pairings.  Pada industri maskapai penerbangan, terdapat dua biaya yang sangat besar yaitu biaya bahan bakar dan biaya kru. Biaya kru dipengaruhi oleh pairing yang terpilih dari jadwal penerbangan. Pada penelitian ini akan dilakukan pemilihan himpunan pairing terpilih menggunakan metode Analytic Hierarchy Process (AHP) dan Fuzzy Technique for Order Performance by Similarity to Ideal Solution (Fuzzy TOPSIS). Sebelum menggunakan AHP atau Fuzzy TOPSIS, akan dibentuk kumpulan dari himpunan pairing terpilih menggunakan greedy algorithm. Setelah kumpulan himpunan pairing terpilih terbentuk, maka dibentuk goal dan kriteria. Goal adalah memilih himpunan pairing terpilih dari beberapa alternative. Pada setiap himpunan pairing yang terpilih, terdapat beberapa kriteria seperti jumlah deadhead, jumlah pairing A2, jumlah pairing A3, jumlah pairing A4, jumlah pairing A5, dan jumlah pairing A6. Berdasarkan hasil perhitungan, metode AHP dan Fuzzy TOPSIS dapat memilih dan memberi peringkat prioritas pada pemilihan himpunan pairing terpilih.

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.

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