Management of data quality when integrating data with known provenance

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An integrated method for airline company supplier selection based on the entropy and vikor methods: a real case study

All certified airlines require to implement a safety and quality management system. Therefore, the quality of all services and products with critical operational domains have been challenging issues in the aviation industry. In this regard, supplier selection plays an important role to acquire competitive benefits. Flight operations is critical scope in an airline and their outputs have a direct impact on flight safety consequences. Therefore, the quality of supplier’s product and services play the main role in their flight operations process. In this research, a new decision-making framework is developed to evaluate the performance of the suppliers based on the Entropy and VIKOR approaches. At the outset, the main criteria and sub-criteria are identified based on the literature and expert\u27s viewpoint and then their weights are calculated using the Entropy method. Afterward, the potential suppliers are ranked using the VIKOR method. The airline supplier’s assessment through expert judgment and integrated criteria are the new approaches that are developed in this paper. The obtained results show that economic, quality and safety, and reputation respectively are the main criteria to select suppliers

FUZZY MULTIPLE CRITERIA GROUP DECISION-MAKING IN PERFORMANCE EVALUATION OF MANUFACTURING COMPANIES

Today's market competition requires constant improvement of manufacturing companies. The primary key to sustainable improvement is evaluating the efficiency of manufacturing processes, which inevitably demands access to thorough and comprehensive information. However, due to the multiple numbers of effective factors that are varied in nature and value, it is impossible to identify certain factors that ensure the efficiency of a manufacturing procedure. As a solution, this paper proposes a novel approach that applies fuzzy TOPSIS. This approach provides the flexibility of evaluating multiple and varied factors of different weights in scrutinizing the efficiency of a manufacturer. The proposed approach has been applied to three different manufacturers (i.e., alternatives) in three steps. In the first step, with reference to the related literature and comments of manufacturing experts, the valuable factors (i.e., the criteria) have been selected to which experts specified linguistic terms. Linguistic terms were then converted to fuzzy numbers. Fuzzy TOPSIS was applied to analyze the efficiency performance of manufacturers. In the last step, to determine the impact of criteria weights on the decision-making process, sensitivity analysis was carried out. The findings confirm the implacability of the proposed approach to manufacturing performances in a consolidated manner. The approach can be employed by marketing managers, senior administrators, and other authorities in the manufacturing and business sectors

Selection lead logistics provider in consumer goods using AHP – TOPSIS approach

Vendor selection is a strategic activity in order to support the achievement of the company`s success and competitiveness. Significantly, the company has some specific standards in the selection. Therefore, evaluation is needed to see which vendors match the company's criteria. The purpose of this study was to evaluate and select the proposed vendor in a decision support system using the AHP and TOPSIS approaches. The AHP method is used to determine the importance of the criteria, while the TOPSIS method is used to rank alternatives. The results show that Provider 1 has the highest score compared to other alternatives with a value of 0.852. Sensitivity analysis shows that the proposed AHP and TOPSIS methods are robust, suitable for this problem, and have a low rate of change

A new multi-criteria approach for sustainable material selection problem

Sustainable material selection is a crucial problem given the new demands of society and novel production strategies that consider the concepts of sustainability. Multi-criteria decision-making methods have been extensively used to help decision-makers select alternatives in different fields of knowledge. Nonetheless, these methods have been criticized due to the rank reversal problem, where the independence of the irrelevant alternative principle is violated after the initial decision problem is changed. Over the course of this study, we observed that the solutions that are proposed for this problem, in the context of sustainable material selection, are insufficient. Thus, we present a new material selection approach that is based on the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method, which is immune to rank reversal. We also demonstrate the causes of rank reversal in the TOPSIS method, how the R-TOPSIS method was designed to solve them, and how it can be applied to sustainable material selection

METODE AHP DAN FUZZY TOPSIS UNTUK PENDUKUNG KEPUTUSAN SELEKSI PENEMPATAN TENAGA KERJA INDONESIA

Tenaga Kerja Indonesia (TKI) sesuai dengan peraturan pemerintah harus memiliki kualifikasi yang baik secara administrasi maupun kemampuan. Pemerintah menetapkan kriteria berdasarkan minat, bakat, dan kemampuan untuk bekerja pada negara tujuan. Proses seleksi di BP3TKI adalah dengan melengkapi kelengkapan dokumen dan lulus uji kompetensi sehingga pada proses tersebut belum dapat memperoleh TKI yang paling berpotensi dikarenakan ada beberapa kriteria yang belum dipertimbangkan. Penelitian yang dilakukan menghasilkan Sistem yang mampu mengurutkan peringkat terbaik sehingga dapat direkomendasikan pihak pengambil keputsan untuk membantu menentukan TKI yang layak ke negara tujuan. Peneliti menggunakan metode AHP dan Fuzzy TOPSIS untuk menyelesaikan permasalahan seleksi TKI, dari kedua metode tersebut memiliki bagian penyelesaian yang berbeda, metode AHP digunakan untuk menentukan bobot dan Fuzzy TOPSIS digunakan untuk menentukan peringkat terbaik, tool yang digunakan untuk mengembangkan sistem pendukung keputusan adalah PHP dan MySQL. AHP memerlukan nilai inputan berupa perbandingan tingkat kepentingan antar kriteria dari assesor, output dari AHP adalah bobot kriteria. Hasil uji konsistensi assesor menunjukkan bahwa tingkat inkosistensi assesor adalah 0,8 kurang dari atau sama dengan 0,10, artinya dapat diterima dan melanjutkan ke metode Fuzzy TOPSIS. Hasil output bobot AHP adalah C3>C4>C6>C2>C1>C5, peringkat alternatif yang terbaik adalah Alternatif 22 sedangkan yang terendah adalah Alternatif 28, hasil kesesuaian sistem yang dikembangkan dengan data asli adalah 96%. Kata Kunci : TKI, BP3TKI, AHP, dan Fuzzy TOPSIS Indonesian Migrant Workers (TKI) in accordance with government regulations must have good qualifications in administration and abilities. The Government set criteria based on their interests, talents, and ability to work in destination country. Selection process in BP3TKI is to complete the required documents, and pass the competency test so that the process are not able to obtain the most potential migrant workers because there are some criteria that have not been considered. Research conducted generating system is able to rank the best that can be recommended by decision maker to help determine proper labor migrants into the destination country. Researcher using AHP and Fuzzy TOPSIS to resolve the problems of selection migrant workers, both methods have a section is a different solution, the AHP method is used to determine the weight and Fuzzy TOPSIS is used to rank the best, the tools used to develop a decision support system is PHP and MySQL, AHP requires input value in the form of a comparison between the interest rate criterion of assessors, the output of the AHP is the weight criteria. assesor consistency test showed that the level of inconsistencies assesor is 0.8 less than or equal to 0.10, meaning that it can be accepted and continue to Fuzzy TOPSIS. The results showed output weighting criteria AHP was C3> C4> C6> C2> C1> C5, ranking the best alternative is Alternative 22 and the lowest is Alternative 28. The results of the suitability of a system developed by the original data is 96%. Keyword : TKI, BP3TKI, AHP, and FUZZY TOPSI