Multi-criteria Decision Making for Solar Panel Selection Using Fuzzy Analytical Hierarchy Process and Technique for Order Preference by Similarity to ideal Solution (TOPSIS): An Empirical Study

2019 ◽  
Vol 100 (4) ◽  
pp. 707-715 ◽  
Author(s):  
Gnanasekaran Sasikumar ◽  
Sivasangari Ayyappan
Keyword(s):  
Decision Making ◽  
Empirical Study ◽  
Analytical Hierarchy Process ◽  
Solar Panel ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Fuzzy Analytical Hierarchy Process ◽  
Order Preference ◽  
Hierarchy Process

scholarly journals A Study of Multicriteria Decision Making for Supplier Selection in Automotive Industry

2013 ◽  
Vol 2013 ◽  
pp. 1-22 ◽  
Author(s):  
Nadia Jamil ◽  
Rosli Besar ◽  
H. K. Sim
Keyword(s):  
Decision Making ◽  
Analytical Hierarchy Process ◽  
Supplier Selection ◽  
Selection Process ◽  
Multicriteria Decision Making ◽  
Ideal Solution ◽  
Fuzzy Analytical Hierarchy Process ◽  
Automotive Manufacturing ◽  
Multicriteria Decision ◽  
Hierarchy Process

This paper is designed to present the effectiveness of group multicriteria decision making in automotive manufacturing company focusing on the selection of suppliers in Malaysia. The process of selecting suppliers is one of the most critical and challenging endeavor in any supply chain management. There are five decision making tools being analyzed in this study, namely, analytical hierarchy process (AHP), fuzzy analytical hierarchy process (FAHP), technique for order performance by similarity to ideal solution (TOPSIS), fuzzy technique for order performance by similarity to ideal solution (FTOPSIS), and fuzzy analytical hierarchy process integrated with fuzzy technique for order performance by similarity to ideal solution (FAHPiFTOPSIS). The scores of ranking among the suppliers in each MCDM tools (AHP, FAHP, TOPSIS, FTOPSIS, and FAHPiFTOPSIS) show significantly comparable variation. Scores of the best supplier is then compared to the lowest supplier for all MCDM tools whereby this reflects that the highest percentage goes to TOPSIS with scoring of 79.37%. On the contrary, FAHPiFTOPSIS demonstrated the lowest score variation of 22.42% which indicates that FAHPiFTOPSIS is able to eliminate biasness in supplier selection process.

scholarly journals PENGAPLIKASIAN METODE FUZZY ANALYTIC HIERARCHY PROCESS (FAHP) PADA PENENTUAN PIMILIHAN SUPPLIER BENANG (Studi Kasus di CV. Sarung Indah Sejahterah)

2020 ◽  
Vol 1 (1) ◽  
pp. 11
Author(s):  
Syamsul Huda ◽  
Pregiwati Pusporini ◽  
Said Salim Dahda
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Set ◽  
Analytical Hierarchy Process ◽  
Fuzzy Analytic Hierarchy Process ◽  
Multi Criteria Decision Making ◽  
Fuzzy Analytical Hierarchy Process ◽  
Analytic Hierarchy ◽  
Hierarchy Process

Pemilihan supplier merupakan salah satu aktivitas dalam rangkaian pekerjaan CV Sarung Indah Sejahtera. Aktivitas ini dikategorikan dalam aktivitas strategis, karena peran supplier akan turut dalam menentukan keberhasilan perusahaan, apabila barang yang disediakan supplier tidak sesuai dengan kebutuhan perusahaan, maka dapat dipastikan bahwa proses pekerjaan akan terganggu. Berpijak dari latar belakang tersebut maka tujuan dari penelitian ini adalah menentukan supplier yang dapat memberikan perfomansi terbaik, berdasarkan kriteria dan subkriteria yang telah ditentukan perusahaan. CV Sarung Indah Sejahterah adalah sebuah perusahaan yang memproduksi dan menjual sarung tenun tangan tanpa mesin, sehingga kualitas menjadi hal yang sangat penting. Penelitian ini melibatkan lebih dari satu kriteria dalam menentukan supplier, agar dapat membuat keputusan yang tepat maka diperlukan metode Multi Criteria Decision Making (MCDM). Metode yang digunakan disini adalah metode Analytical Hierarchy Process (AHP) dan Fuzzy Set, yang untuk selanjutnya disebut dengan metode Fuzzy Analytical Hierarchy Process (FAHP). Yaitu ketidakmampuan dalam mempertimbangkan ketidakpastian yang muncul akibat subjektivitas manusia. Hasil penenelitian menenjukkan bahwa tedapat 4 kriteria yang harus dipertimbangkan dalam menentukan supplier di CV Sarung Indah Sejahterah. Keempat kriteria tersebut adalah pengiriman, kualitas, pelayanan, harga. Hasil dari tahapan metode Fuzzy Analytical Hierarchy Process (FAHP). Didapatkan urutan sebagai berikut : Supplier 1 BNP 101,813, Supplier 2 BNP 117,29, Supplier 3 BNP 99,59.

scholarly journals Supplier Selection Very Small Aperture Terminal using AHP-TOPSIS Framework

2020 ◽  
Vol 1 (2) ◽  
pp. 39
Author(s):  
Sumanto Sumanto ◽  
Karlena Indriani ◽  
Lita Sari Marita ◽  
Ade Christian
Keyword(s):  
Decision Making ◽  
Analytical Hierarchy Process ◽  
Supplier Selection ◽  
Assessment Criteria ◽  
Ideal Solution ◽  
Small Aperture ◽  
Order Preference ◽  
Decision Making Model ◽  
Hierarchy Process ◽  
Selection Of

There are several methods of decision making VSAT IT goods suppliers such as: Promethee, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Analytical Hierarchy Process (AHP). Decision-making in the selection of the best suppliers, we have the basis of assessment criteria, and we will also be faced with more than one alternative. If alternatives are only two, maybe still easy for us to choose, but if the alternative is a lot of choice, it is quite difficult for us to decide. Analytical Hierarchy Process (AHP) is a technique that was developed to help overcome this difficulty, because the Analytical Hierarchy Process (AHP) is a form of decision-making model with many criteria. One of the reliability of the Analytical Hierarchy Process (AHP) is able to perform simultaneous analysis and integrated between the parameters of qualitative or quantitative. In this study the authors use six criteria and alternatives 6, the results of these alternatives will be obtained perangkingan alternative used as a reference supplier selection VSAT IT goods company Total EP Indonesie

scholarly journals GDSS MULTI KRITERIA PENENTUAN STRATEGI MARKETING TERBAIK PERGURUAN TINGGI

2019 ◽  
Vol 9 (1) ◽  
pp. 15
Author(s):  
Sumiyatun Sumiyatun
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Analytical Hierarchy Process ◽  
Group Decision ◽  
Group Decision Support ◽  
Ideal Solution ◽  
Group Decision Support System ◽  
Order Preference ◽  
Multi Attribute Decision Making ◽  
Hierarchy Process

Dunia  pendidikan  telah  mengalami  evolusi  secara  kontinyu.  Salah  satu faktor  pemicunya  adalah  kompetisi  antar  perguruan  tinggi  yang  semakin  ketat. Oleh karena itu pemasaran menjadi unsur yang strategis dalam menjaga eksistensi perguruan  tinggi. Dalam membuat keputusan pemilihan strategi marketing, terdapat beberapa kriteria yang perlu dipertimbangkan, diantaranya adalah biaya, waktu, tingkat pengaruh, capaian target dan lain sebagianya. Pada perguruan tinggi swasta pengambilan keputusan terkait strategi marketing tidak hanya ditentukan oleh bagian Humas saja, akan tetapi  harus meminta pertimbangan dari pihak manajemen dan yayasan pemilik perguruan tinggi. Berdasarkan  kompleknya permasalahan  yang  dihadapi,  diperlukan  sebuah  sistem pendukung  keputusan  kelompok  atau  Group  Decision  Support  System  (GDSS) dalam menentukan strategi marketing pergurauan tinggi.  Pada  penelitian  ini,  penulis  mengajukan  GDSS  menggunakan metode Analytical  Hierarchy Process (AHP) yang mendukung model Multi Attribute Decision Making (MADM) dan  Technique for  Order  Preference by  Similarity  to  Ideal  Solution  (TOPSIS)  sebagai  model  untuk  pengambilan keputusan. Penggunaan  GDSS  pada penelitian ini bertujuan  untuk  mengakomodir  penilaian  lebih  dari  satu  evaluator  dan meningkatkan  kualitas  keputusan.  Dengan  demikian  diharapkan  penilaian  yang dilakukan lebih obyektif, karena tidak dilakukan oleh satu pihak saja. Perangkat lunak yang dibangun dari hasil penelitian ini diharapkan  mempermudah dan mempercepat dalam menentukan strategi marketing perguruan tinggi.

Multi Criteria Decision Making Techniques in Urban Planning and Geology

2018 ◽  
pp. 530-568 ◽  
Author(s):  
Kadriye Burcu Yavuz Kumlu ◽  
Şule Tüdeş
Keyword(s):  
Decision Making ◽  
Urban Planning ◽  
Spatial Information ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Analytic Hierarchy ◽  
Order Preference ◽  
Geological Science ◽  
Simple Additive Weighting ◽  
Hierarchy Process

In this paper, Multi Criteria Decision Making (MCDM) processes will be clarified in the context of the disciplines related with the spatial information, as urban planning and its geographical perspective. For this purpose, first Spatial MCDM will be introduced, then the relation between the geographical data and GIS is established. Therefore, following sections include the detailed explanation of three widely used Spatial MCDM techniques, as Simple Additive Weighting (SAW), Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). These techniques will be clarified by giving examples related with urban planning and geological science.

Multi-Attribute Decision Making in Risk Analysis

2016 ◽  
pp. 246-290
Author(s):  
William P. Fox
Keyword(s):  
Risk Assessment ◽  
Decision Making ◽  
Risk Analysis ◽  
Analytical Hierarchy Process ◽  
Data Envelopment ◽  
Ideal Solution ◽  
Order Preference ◽  
Multi Attribute Decision Making ◽  
Simple Additive Weighting ◽  
Hierarchy Process

Multi-Attribute Decision Making (MADM) is commonly used when we are comparing more than two courses of actions or alternatives based upon many selected criteria. This chapter presents methodologies to conduct MADM analysis for risk analysis and risk assessment across a variety of topics. These methodologies include Data Envelopment Analysis (DEA), Simple Additive Weighting (SAW), Analytical Hierarchy Process (AHP), and the Technique of Order Preference by Similarity to Ideal Solution (TOPSIS). The author describes each methodology, provide some strengths and limitations of each, discuss tips for sensitivity analysis, and provide two risk analysis examples to illustrate each method.

Aggregating GIS and MCDM to Optimize Wave Energy Converters Location in Tasmania, Australia

2015 ◽  
pp. 141-164
Author(s):  
Phuc Le ◽  
Andrew Fischer ◽  
Irene Penesis ◽  
Rahman Rahimi
Keyword(s):  
Wave Energy ◽  
Analytical Hierarchy Process ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Wave Energy Converters ◽  
Order Preference ◽  
A Chain ◽  
Hierarchy Process ◽  
Energy Converters

The aim of this chapter is to develop a framework to guide Wave Energy Converters (WECs) sites using the coastal waters of Tasmania as a case study. This chapter proposes a combined two-stage Multi-Criteria Decision Making (MCDM) methodology to determine suitable locations for WECs siting with overlapping and minimal conflicting uses. A methodology combining MCDM and Geographic Information Systems (GIS) was developed combining the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and the Analytical Hierarchy Process (AHP). Priority rankings for each of the human uses and ocean features were prioritized using AHP and were then applied to TOPSIS analyses. A chain of optimal locations were determined, stretching from the southwest to southeast coast of Tasmania, where presently low densities of human activities overlap with high wave height. The result shows that suitable areas for harnessing WECs may not always be located in the highest wave energy areas.

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