MULTIPLE CRITERIA DECISION MAKING APPROACH FOR INDUSTRIAL ENGINEER SELECTION USING FUZZY AHP-FUZZY TOPSIS

In today’s highly turbulent and competitive environment, the success of the organization depends on the performance of its suppliers. However, supplier selection problems are complex as they involve a large number of criteria and, frequently, some of the criteria cannot be evaluated precisely. Moreover, fluctuations of supplier performances and unknown information always exist in real-world decision-making. It is a complex multiple-criteria decision-making (MCDM) problem as it involves a trade-off among various criteria with vagueness and imprecision and also involves a group of experts with diverse opinion. Therefore, to make more practical decisions, this paper is intended to propose an integrated technique for order preference by similarity to ideal solution (TOPSIS) in fuzzy environment with multi-choice goal programming (MCGP) to handle the supplier assessment and order allocation for a battery manufacturing organization. Using linguistic variables, the decision-makers assess the rating of suppliers as well as the importance of various factors. Linguistic variables are expressed in trapezoidal fuzzy numbers (TrFN). Fuzzy-TOPSIS method is proposed to obtain the rank of suppliers and MCGP method is used to allocate suitable orders to the selected suppliers. A case study is implemented to find the applicability and validity of the proposed model. Finally, sensitivity analysis is performed to observe the effect of weights of criteria on supplier evaluation problem.

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PEMILIHAN MULTI-KRITERIA PEMASOK DEPARTMENT STORE MENGGUNAKAN METODE FUZZY AHP DAN TOPSIS

Jurnal Ilmiah Teknik Industri ◽

10.24912/jitiuntar.v7i1.5037 ◽

2019 ◽

Vol 7 (1) ◽

Author(s):

Carla Olyvia Doaly ◽

Parwadi Moengin ◽

Gebriel Chandiawan

Keyword(s):

Decision Making ◽

Fuzzy Ahp ◽

Multiple Criteria Decision Making ◽

Department Store ◽

Multiple Criteria

Department Store merupakan perusahaan yang bergerak dalam bidang fashion. Industri fashion di Indonesia tumbuh sangat pesat, dengan persaingan yang semakin ketat sehingga untuk dapat bertahan, penyediaan produk yang tepat bagi konsumen, di waktu yang tepat dengan harga yang ekonomis menjadi tantangan utama. Pemilihan supplier yang tepat menjadi sangat penting untuk mewujudkan hal tersebut diatas. Banyak kriteria yang bisa menjadi pertimbangan dalam pemilihan supplier, sehingga ini menjadi keputusan yang sulit. Dalam Penelitian ini pemilihan supplier dilakukan dengan menerapkan Multiple Criteria Decision Making (MCDM) menggunakan metode Fuzzy AHP dan TOPSIS. Metode Fuzzy AHP dapat meminimalkan ketidakpastian (uncertainty) yang dapat terjadi dalam pengambilan keputusan. Sedangkan TOPSIS dengan membandingkan jarak solusi ideal negative dan positif. Pemilihan supplier dilakukan dengan mempertimbangkan 5 kriteria, 15 sub kriteria dan 5 alternatif dengan tujuan mendapatkan alternatif terbaik berdasarkan atas 5 kriteria . Hasil perhitungan Fuzzy AHP menunjukkan bahwa merk PRL sebagai peringkat 1 dengan bobot 0,33 dan merk C pada peringkat ke 2 dengan bobot 0,22. Sedangkan pada perhitungan TOPSIS merk PRL sebagai peringkat 1 dengan bobot 0.63, merk C pada peringkat 2 dengan bobot 0.49, disusul dengan merk BK, HP dan yang terakhir TE, dengan bobot masing-masing 0.32,0.30 dan 0.15

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Research on Evaluation of Group-Buying Website Based on FAHP

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.204-210.1588 ◽

2011 ◽

Vol 204-210 ◽

pp. 1588-1593 ◽

Cited By ~ 2

Author(s):

Shou Ming Chen ◽

Ru Li

Keyword(s):

Decision Making ◽

Analytical Hierarchy Process ◽

Fuzzy Ahp ◽

Multiple Criteria Decision Making ◽

Multiple Criteria ◽

Group Buying ◽

Research On Evaluation ◽

Hierarchy Process

The group-buying online, a boom of e-commerce phenomenon, expands rapidly in China. Hence, the evaluation of group-buying website is essential for CEO to improve their website performance and for consumers to select the platform to purchase. However, the evaluation of group-buying website is a multiple-criteria decision making (MCDM) problem that is not easy to determine. For this reason, we propose analytical hierarchy process based approaches Fuzzy AHP, to evaluate the group-buying websites. In addition, a case study is presented to demonstrate how the approach can help in solving such problems in practice.

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Avaliação da qualidade dos serviços por meio do fuzzy multiple criteria decision making (MCDM)

Exacta ◽

10.5585/exactaep.v16n1.7154 ◽

2018 ◽

Vol 16 (1) ◽

Author(s):

Nara Medianeira Stefano ◽

Nelson Casarotto Filho ◽

Raul Otto Laux ◽

Sidnei Gripa

Keyword(s):

Decision Making ◽

Analytic Hierarchy Process ◽

Fuzzy Ahp ◽

Multiple Criteria Decision Making ◽

Multiple Criteria ◽

Santa Catarina ◽

Analytic Hierarchy ◽

Hierarchy Process

A qualidade dos serviços é uma construção abstrata e indescritível devido a três características: intangibilidade, inseparabilidade de produção e consumo e, heterogeneidade. Dessa forma, define-se a qualidade dos serviços como aquela percebida pelo cliente. Neste contexto, este trabalho teve o objetivo de avaliar a qualidade dos serviços em um hotel de grande porte localizado em Santa Catarina – Brasil, contando com a participação de 187 hóspedes. Utilizou-se o método Servqual para coletar os dados em um questionário baseado nas dimensões da qualidade. Para o cálculo dos pesos da expectativa e da percepção foi utilizado o método Fuzzy AHP (Analytic Hierarchy Process - FAHP). Como resultado, são apresentados os aspectos onde a expectativa dos hóspedes em relação ao serviço prestado é maior do que a realidade encontrada, permitindo, dessa forma, que a empresa alinhe de forma estratégica seus futuros investimentos.

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A novel multiple criteria decision-making approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy AHP for mapping collection and distribution centers in reverse logistics

Advances in Production Engineering & Management ◽

10.14743/apem2019.3.329 ◽

2019 ◽

Vol 14 (3) ◽

pp. 297-322 ◽

Cited By ~ 3

Author(s):

L.A. Ocampo ◽

C.M. Himang ◽

A. Kumar ◽

M. Brezocnik

Keyword(s):

Decision Making ◽

Reverse Logistics ◽

Fuzzy Ahp ◽

Multiple Criteria Decision Making ◽

Multiple Criteria ◽

Distribution Centers ◽

Fuzzy Dematel ◽

Fuzzy Anp

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MULTIPLE CRITERIA DECISION-MAKING TECHNIQUES IN TRANSPORTATION SYSTEMS: A SYSTEMATIC REVIEW OF THE STATE OF THE ART LITERATURE

Transport ◽

10.3846/16484142.2015.1121517 ◽

2015 ◽

Vol 31 (3) ◽

pp. 359-385 ◽

Cited By ~ 74

Author(s):

Abbas Mardani ◽

Edmundas Kazimieras Zavadskas ◽

Zainab Khalifah ◽

Ahmad Jusoh ◽

Khalil MD Nor

Keyword(s):

Systematic Review ◽

Decision Making ◽

Airline Industry ◽

Fuzzy Ahp ◽

Multiple Criteria Decision Making ◽

Research Problem ◽

Transportation Systems ◽

Multiple Criteria ◽

Transport Infrastructure ◽

Application Area

The main goal of this review paper is to provide a systematic review of Multiple Criteria Decision-Making (MCDM) techniques in regard to transportation systems problems. This study reviewed a total of 89 papers, published from 1993 to 2015, from 39 high-ranking journals; most of which were related to transportation science and were extracted from the Web of Science and Scopus databases. Papers were classified into 10 main application areas and nine transport infrastructure. Furthermore, papers were categorized based on the author(s) and year, name of the journal in which they were published, technique and approach, author(s) nationality, application area and scope, study purpose, gap and research problem and results and outcome. The results of this study indicated that more papers on MCDM in 2013 than in any other year. AHP and Fuzzy-AHP methods in the individual methods and hybrid MCDM and fuzzy MCDM in the integrated methods were ranked as the first and second methods in use, respectively. The Transportation Research Part A: Policy and Practice was the most significant journal in this study, with 13 publications on the topic. Finally, service quality was ranked as the first application area and airline industry was ranked as the first transport infrastructure that applied MCDM techniques.

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SENSOR SELECTION COMPARISON BETWEEN FUZZY TOPSIS ALGORITHM AND SIMPLE ADDITIVE WEIGHTING ALGORITHM IN AUTOMATIC INFUSE MONITORING SYSTEM APPLICATION

SINERGI ◽

10.22441/sinergi.2020.3.005 ◽

2020 ◽

Vol 24 (3) ◽

pp. 207

Author(s):

Setiyo Budiyanto ◽

Galang Persada Nurani Hakim ◽

Ahmad Firdausi ◽

Fajar Rahayu I. M

Keyword(s):

Decision Making ◽

Monitoring System ◽

System Application ◽

Low Cost ◽

Multiple Criteria Decision Making ◽

Fuzzy Topsis ◽

Multiple Criteria ◽

Sensor Selection ◽

Simple Additive Weighting

One of the critical equipment to support a patient in the hospital would be an infuse system. One of the main problems with the infuse system was manual monitoring. Few researchers try to build a low cost infuse system using a low-cost sensor and microcontroller. This paper proposes a fuzzy Topsis algorithm and Simple Additive Weighting (SAW) algorithm to choose the best sensor for a low cost to the infuse system, which is one of the Multiple Criteria Decision Making (MCDM) problems. Several simulations using three sensors, such as LDR (photoresistor), phototransistor, and photodiode, are performed. By using these two algorithms, it can be shown that the phototransistor emerges as the best sensor with value 1, even though it has the price six times higher from the LDR sensor and three times higher from the photodiode.

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