scholarly journals MODEL PENILAIAN KONTRAKTOR PADA PROYEK KETENAGALISTRIKAN MENGGUNAKAN METODE AHP DAN FUZZY TOPSIS

BISMA ◽  
2018 ◽  
Vol 12 (3) ◽  
pp. 272
Author(s):  
Dodi Angga Kusuma ◽  
Bambang Syairuddin ◽  
Fuad Achmadi
Keyword(s):  
Customer Satisfaction ◽  
Fuzzy Topsis ◽  
Ideal Solution ◽  
Procurement Process ◽  
Solution Models ◽  
Production Experience ◽  
Order Preference ◽  
Topsis Technique ◽  
Price Quotes ◽  
Selection Of

Abstract: The objective of this study is to analyze the contractor assessmentmodel for the electricity project. This study focused on the procurement process ofgoods/services for the construction of a 500 kV Duri Kosambi Gas InsulatedSwitchgear Tegangan Ekstra Tinggi (GISTET). The sample consisted of 2 (two)contractors, i.e., PT CA and PT PCE. Data were analyzed using AHP (AnalyticalHierarchy Process) and Fuzzy TOPSIS (Technique for Order Preference bySimilarity to Ideal Solution) models. Referring to AHP and Fuzzy TOPSIS models,the selection of project contractor was based on 3 (three) main criteria:administration, technical, price, and 10 (ten) sub criteria: financial qualificationdocuments, documents from the bank, list of jobs in the implementation, TKDN,manufacturer's production experience, customer satisfaction certificates, technicalspecifications, brochure and TPG, price quotes, and fairness of offers. The resultsof the assessment showed that PT CA with the value of 0.723 was the bestcontractor for the project.Keywords: Procurement, Electricity Project, AHP, and Fuzzy TOPSIS.Abstrak: Tujuan dari penelitian ini adalah untuk menganalisis model penilaiankontraktor pada proyek ketenagalistrikan. Fokus penelitian adalah pada pemilihanpenyedia barang/jasa untuk pembangunan Gas Insulated Switchgear TeganganEkstra Tinggi (GISTET) 500 kV Duri Kosambi. Metode analisis yang digunakanadalah metode AHP (Analytical Hierarcy Process), dan Fuzzy TOPSIS. Pemilihankontraktor proyek dengan model AHP dan Fuzzy TOPSIS menggunakan 3 (tiga)kriteria utama, yaitu: administrasi, teknis, dan harga, serta 10 (sepuluh) subkriteria, yaitu: dokumen kualifikasi keuangan, dokumen dari bank, daftar pekerjaandalam pelaksanaan, dokumen kualifikasi finansial, TKDN, pengalaman produksipabrikan, surat keterangan kepuasan pelanggan, spesifikasi teknis, brochure danTPG, penawaran harga, dan kewajaran penawaran. Hasil penilaian yang dilakukanmenunjukan bahwa PT CA dengan nilai 0,723 merupakan kontraktor terbaik.Kata Kunci: Pengadaan Barang dan Jasa, Proyek Ketenagalistrikan, AHP, danFuzzy TOPSIS

scholarly journals Supplier selection using different metric functions

2015 ◽  
Vol 25 (3) ◽  
pp. 413-423 ◽  
Author(s):  
S.E. Omosigho ◽  
Dickson Omorogbe
Keyword(s):  
Supplier Selection ◽  
Selection Process ◽  
Fuzzy Topsis ◽  
Ideal Solution ◽  
Order Preference ◽  
Metric Functions ◽  
Metric Function ◽  
Topsis Technique ◽  
Intuitionistic Fuzzy Topsis ◽  
Selection Of

Supplier selection is an important component of supply chain management in today?s global competitive environment. Hence, the evaluation and selection of suppliers have received considerable attention in the literature. Many attributes of suppliers, other than cost, are considered in the evaluation and selection process. Therefore, the process of evaluation and selection of suppliers is a multi-criteria decision making process. The methodology adopted to solve the supplier selection problem is intuitionistic fuzzy TOPSIS (Technique for Order Preference by Similarity to the Ideal Solution). Generally, TOPSIS is based on the concept of minimum distance from the positive ideal solution and maximum distance from the negative ideal solution. We examine the deficiencies of using only one metric function in TOPSIS and propose the use of spherical metric function in addition to the commonly used metric functions. For empirical supplier selection problems, more than one metric function should be used.

scholarly journals A Comparative Study on Decision Making Methods with Interval Data

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Aditya Chauhan ◽  
Rahul Vaish
Keyword(s):  
Decision Making ◽  
Input Data ◽  
Multiple Criteria Decision Making ◽  
Interval Data ◽  
Cross Entropy ◽  
Ideal Solution ◽  
Order Preference ◽  
Topsis Technique ◽  
Selection Of ◽  
Novel Algorithm

Multiple Criteria Decision Making (MCDM) models are used to solve a number of decision making problems universally. Most of these methods require the use of integers as input data. However, there are problems which have indeterminate values or data intervals which need to be analysed. In order to solve problems with interval data, many methods have been reported. Through this study an attempt has been made to compare and analyse the popular decision making tools for interval data problems. Namely, I-TOPSIS (Technique for Order Preference by Similarity to Ideal Solution), DI-TOPSIS, cross entropy, and interval VIKOR (VlseKriterijumska Optimiza-cija I Kompromisno Resenje) have been compared and a novel algorithm has been proposed. The new algorithm makes use of basic TOPSIS technique to overcome the limitations of known methods. To compare the effectiveness of the various methods, an example problem has been used where selection of best material family for the capacitor application has to be made. It was observed that the proposed algorithm is able to overcome the known limitations of the previous techniques. Thus, it can be easily and efficiently applied to various decision making problems with interval data.

scholarly journals Penerapan Metode Topsis Untuk Pemilihan Vendor Terbaik

2021 ◽  
Vol 11 (2) ◽  
pp. 19-30
Author(s):  
Derman Janner Lubis ◽  
Nur Amalina Anindita
Keyword(s):  
Calculation Method ◽  
Research Method ◽  
Ideal Solution ◽  
Topsis Method ◽  
Decision Matrix ◽  
Relative Closeness ◽  
The Matrix ◽  
Order Preference ◽  
Topsis Technique ◽  
Selection Of

The selection of vendors to work on a project is an activity that must be carried out effectively and precisely so that the project is carried out in accordance with business needs and does not suffer losses. To get the best vendor ranking, you can use the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) calculation method. TOPSIS method is a method that generates rankings by calculating the distance between the best solution and the worst solution. The steps to calculate using TOPSIS are identification of alternatives and their values, create a decision matrix, normalize the matrix, calculate the normalization matrix, look for positive and negative solutions, calculate the distance between positive and negative solutions, and calculate relative closeness and sort preferences. In this study using 8 criteria and 5 alternative vendors. Research method using research and development. This method will produce a prototype. The results of the calculation of TOPSIS obtained vendor c who gets the highest score and vendor b with the lowest rank

scholarly journals Selection Of Employees In The Metal Industry Based On Competences, On The Example Of A Designer Position

2015 ◽  
Vol 7 (1) ◽  
pp. 217-224
Author(s):  
Katarzyna Skrzypek ◽  
Karol Dąbrowski
Keyword(s):  
Human Resources ◽  
Subject Matter ◽  
Ideal Solution ◽  
Metal Production ◽  
Analytic Hierarchy ◽  
Solution Methods ◽  
Order Preference ◽  
Topsis Technique ◽  
Hierarchy Process ◽  
Selection Of

Abstract The selection of an effective team of employees is crucial to proper management of the company. The success of the project often depends on the competencies of employees who carry out those projects. Therefore, the selection of the workers, whose competences complement each other in terms of subject matter, in terms of personality, and also in practical terms, is very important. This article presents the proposal of applying the FAHP (fuzzy analytic hierarchy process) and TOPSIS (technique for order preference by similarity to an ideal solution) methods as a tool to facilitate the management of human resources in the metal production factories based on the skills of employees.

scholarly journals Multi-Criteria Decision Making Using TOPSIS Method Under Fuzzy Environment. Application in Spillway Selection

Proceedings ◽  
2018 ◽  
Vol 2 (11) ◽  
pp. 637 ◽  
Author(s):  
Vasiliki Balioti ◽  
Christos Tzimopoulos ◽  
Christos Evangelides
Keyword(s):  
Decision Making ◽  
Multiple Criteria Decision Making ◽  
Fuzzy Topsis ◽  
Topsis Method ◽  
Northern Greece ◽  
Analytic Hierarchy ◽  
Order Preference ◽  
Optimum Type ◽  
Topsis Technique ◽  
Selection Of

The selection of an appropriate spillway has a significant effect to the construction of a dam and several procedures and considerations are needed. In the past, this selection of the type of the spillway was arbitrary and sometimes with bad results. Recently the Multiple Criteria Decision Making theory has given the possibility to make a decision about the optimum form of a spillway under complex circumstances. In this paper, the above method is used and especially the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method for the selection of a spillway for a dam in the district of Kilkis in Northern Greece—‘Dam Pigi’. As the criteria were fuzzy and uncertain, the Fuzzy TOPSIS method is introduced together with the AHP (Analytic Hierarchy Process), which is used for the evaluation of criteria and weights. Five types of spillways were selected as alternatives and nine criteria. The criteria are expressed as triangular fuzzy numbers in order to formulate the problem. Finally, using the Fuzzy TOPSIS method, the alternatives were ranked and the optimum type of spillway was obtained.

scholarly journals INTEGRATED APPROACH OF FUZZY MULTI-ATTRIBUTE DECISION MAKING AND DATA MINING FOR CUSTOMER SEGMENTATION

2021 ◽  
Vol 24 (4) ◽  
pp. 174-188
Author(s):  
Manidatta Ray ◽  
Mamata Ray ◽  
Kamalakanta Muduli ◽  
Audrius Banaitis ◽  
Anil Kumar
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Fuzzy Ahp ◽  
Integrated Approach ◽  
Fuzzy Topsis ◽  
Ideal Solution ◽  
Fuzzy C Means ◽  
Order Preference ◽  
Multi Attribute Decision Making ◽  
Topsis Technique

This research work focuses on integrating the multi attribute decision making with data mining in a fuzzy decision environment for customer relationship management. The main objective is to analyse the relation between multi attribute decision making and data mining considering a complex problem of ordering customers segments, which is based on four criteria of customer’s life time value, viz. length (L), recency (R), frequency (F) and monetary value (M). The proposed integrated approach involves fuzzy C-means (FCM) cluster analysis as data mining tool. The experiment conducted using MATLAB 12.0 for identifying eight clusters of customers. The two multi attribute decision making tools i.e., fuzzy AHP (Analytic Hierarchy Process) and fuzzy TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) are used for ranking these identified clusters. The applicability of the integrated decision making technique is also demonstrated in this paper considering the case of Indian retail sector. This research collected responses from nine experts from Indian retail industry regarding their perception of relative importance of four criteria of customer life value and evaluated weights of each criterion using fuzzy AHP. Transaction data of 18 months of the case retail store was analysed to segment 1,600 customers into eight clusters using fuzzy c-means clustering analysis technique. Finally, these eight clusters were ranked using fuzzy TOPSIS (Technique for Order Preference by Similarity to Ideal Solution). The findings of this research could be helpful for firms in identifying the more valuable customers for them and allocate more resources to satisfy them. The findings will be also helpful in developing different loyalty program strategies for customers of different clusters.

scholarly journals Comparative Study Of AHP And AHP-Topsis In Analyzing Supplier Priority (A Case Study Of Diesel Fuel Supplier At PT. X)

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Shelvy Kurniawan ◽  
Sambudi Hamali ◽  
Sandra Gunawan
Keyword(s):  
Diesel Fuel ◽  
Supplier Selection ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
West Kalimantan ◽  
Central Kalimantan ◽  
Order Preference ◽  
Topsis Technique ◽  
Selection Of

The selection of diesel fuel supplier at PT. X which were held in four operational areas, namely South Sumatra, Central Kalimantan, West Kalimantan, and East & North Kalimantan. The purpose is to determine the criterias, subcriterias and their importance weights in the selection of the best diesel fuel suppliers for each operational areas of PT. X. This study will compare the use of two well-known multi-criteria decision making methods namely AHP (Analytical Hierarcy Process) and AHP-TOPSIS (Technique for Order Preference by Similarity to Ideal Solution). The criterias were tested are Quality, Price, Capability, Delivery, Supplier Profile, and Service & Relationship with the results of the highest weighted criteria is Delivery, then followed by the highest weighted subcriteria is Supply Capability. Keywords— AHP, TOPSIS, Supplier Selection, Best Supplier

scholarly journals Fuzzy TOPSIS Approach in Selection of Optimal Noise Barrier for Traffic Noise Abatement

2015 ◽  
Vol 40 (4) ◽  
pp. 453-467 ◽  
Author(s):  
Naveen Garg ◽  
Sagar Maji ◽  
Keyword(s):  
Road Traffic ◽  
Traffic Noise ◽  
Fuzzy Topsis ◽  
Road Traffic Noise ◽  
Noise Abatement ◽  
Solution Approach ◽  
Order Preference ◽  
Noise Barrier ◽  
Topsis Technique ◽  
Selection Of

Abstract The paper presents a retrospective study for selection of noise barrier for road traffic noise abatement. The work proposes the application of Fuzzy TOPSIS (Technique for order preference by similarity to an ideal solution) approach is selection of optimal road traffic noise barrier. The present work utilizes the fuzzy TOPSIS model proposed by Mahdavi et al. (2008) in determination of ranking order of various types of noise barriers with respect to the various criteria considered. It is suggested that application of this approach can be very helpful in selection and application of optimal noise barrier for road traffic noise abatement.

The Use of Interval Type-2 Fuzzy TOPSIS in Supplier Selection

2014 ◽  
Vol 548-549 ◽  
pp. 1954-1958 ◽  
Author(s):  
Adawiyah Otheman ◽  
Ahmad Termimi Ab Ghani ◽  
Lazim Abdullah
Keyword(s):  
Supplier Selection ◽  
Feasible Solution ◽  
Fuzzy Topsis ◽  
Ideal Solution ◽  
Order Preference ◽  
Interval Type ◽  
Supplier Selection Problem ◽  
Selection Of

Supplier selection is one of the most important activities in supply chain management. However, the method of selecting appropriate supplier is not straightforward as it involves number of potential suppliers with diverse criteria. This paper aims to select the best supplier using interval type-2 fuzzy Technique for Order Preference by Similarity to Ideal Solution (IT2FTOPSIS) method. The method is used to a case study of computer components supplier selection. Of the four candidate suppliers, it is found that the supplier S3 is the best candidate. It indicates that the IT2FTOPSIS method offers a feasible solution to supplier selection problem.

scholarly journals KURUMSAL YÖNETİM ENDEKSİ KAPSAMINDAKİ İŞLETMELERİN FİNANSAL PERFORMANS ANALİZİ

2016 ◽  
Vol 4 (2) ◽  
pp. 185-202
Author(s):  
Fatih Temizel ◽  
Hamza Doğan ◽  
Berfu Ece Bayçelebi
Keyword(s):  
Ideal Solution ◽  
Order Preference ◽  
Topsis Technique

Payları Borsa İstanbul’da işlem gören işletmelere Sermaye Piyasası Kurulu (SPK)’nun ilgili tebliğine göre bağımsız derecelendirme kurumlarınca verilen Kurumsal Yönetim İlkelerine Uyum Notu kurumsal yönetim konusunda en başarılı 50 işletmenin belirlenmesini sağlamaktadır. Bu açıdan en başarılı 50 işletme ise fiyat ve getiri analizlerinde yardımcı göstergeler edinmek amacı ile Borsa İstanbul Kurumsal Yönetim Endeksi’ne dâhil edilmektedir. Bu çalışmada Kurumsal Yönetim Endeksi’nde bulunan 50 işletme arasından finans sektörü dışında kalan 34 işletmenin finansal performans sıralaması TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) yöntemi ile elde edilmiştir. TOPSIS yöntemi işletmelere ait 10 adet finansal orana dayalı olarak kullanılmıştır. 2011-2015 yıllarını kapsayan 5 yıl için performans sıralamaları elde edilip yıllar arası sıralama değişimleri incelenmiştir. Son olarak 5 yıllık ortalama performans sıralaması hesaplanarak endeksteki işletmelerin son 5 yıl içerisindeki finansal performans dereceleri ortaya konulmuştur. 

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