A Comparative Study for Material Selection of Sensor Element Using Analytic Hierarchy Process

MAPAN ◽  
2018 ◽  
Vol 33 (4) ◽  
pp. 459-468 ◽  
Author(s):  
Levent Yagmur ◽  
Bulent Aydemir
Keyword(s):  
Comparative Study ◽  
Analytic Hierarchy Process ◽  
Material Selection ◽  
Sensor Element ◽  
Analytic Hierarchy ◽  
Hierarchy Process ◽  
Selection Of

scholarly journals Material Selection of Natural Fibers for Composite Automotive Component Using Analytic Hierarchy Process/Analytic Network Process in Concurrent Engineering Approach

2019 ◽  
Vol 801 ◽  
pp. 53-58 ◽  
Author(s):  
Mohd Taha Mastura ◽  
S.M. Sapuan ◽  
Muhammad Noryani
Keyword(s):  
Analytic Hierarchy Process ◽  
Natural Fiber ◽  
Material Selection ◽  
Analytic Network Process ◽  
Design Development ◽  
Analytic Hierarchy ◽  
Automotive Components ◽  
Network Process ◽  
Hierarchy Process ◽  
Selection Of

Material selection of natural fiber for composite based products is an essential process in product design development especially in application of automotive components. Several factors need to be considered concurrently and dependency among the factors should be evaluated during the judgement. Therefore, a proposed approach is presented in this study by using Analytic Hierarchy Process/Analytic Network Process (AHP/ANP) to prioritize the criteria for material selection of natural fiber composites automotive components. AHP computes the priority values from pairwise comparison basis and ANP derives the global priority values based on the inner dependency of the criteria. As in a case study, flax fibers obtained the highest value (19%) and rank as number one fibers in the selection where tensile strength is the most significant criteria. Thus, application of AHP/ANP would derive a more reliable and accurate judgement in material selection and their flexibility allows integration with other decision making tools.

DETERMINING THE DESALINATION UNIT COMPOSITION FOR COSTAL AREAS AND SMALL ISLANDS USE ANALYTIC HIERARCHY PROCESS

2017 ◽  
Vol 9 (1) ◽  
Author(s):  
Imam Setiadi ◽  
Dinda Rita K. Hartaja
Keyword(s):  
Analytic Hierarchy Process ◽  
Energy Demand ◽  
Pairwise Comparison ◽  
Small Islands ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Comparison Research ◽  
Hierarchy Process ◽  
Selection Of

Selection of the appropriate composition desalination units can be done with a variety of method approaches, one of the method is the Analytic Hierarchy Process. In determining the desalination unit with AHP method to consider is setting a goal, an alternative criteria and pairwise comparison. Research for the determination of the exact composition of the desalination unit in order to achieve sustainable drinking water suppy in coastal areas and small islands has been conducted. The results of the study are as follows, the energy demand of 50.83%, operator costs of 26.64%, maintenance costs of 14.13% and chemical requirement 8.4%. For an alternative composition desalination unit of RO 10 m3 / day is the best alternative composition with value of 59.61%, the composition of the next alternative is RO 20 m3/ day of 30.40% and the last alternative of the desalination unit composition is RO 120 m3/ day of 09.99%.Key words : Desalination, Mukti Stage Flash Composition, AHP

SELEKSI ASISTEN PELATIH BELA DIRI DENGAN PERBANDINGAN METODE AHP (Analytic Hierarchy Process) DAN METODE SAW (Simple Additive Weighting)

2016 ◽  
Vol 1 (1) ◽  
pp. 088
Author(s):  
Wahyu Joni Kurniawan
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Analytic Hierarchy Process ◽  
Support System ◽  
Analytic Hierarchy ◽  
Assistant Coach ◽  
Simple Additive Weighting ◽  
Hierarchy Process ◽  
Selection Of ◽  
Discipline Knowledge

This study was conducted to assist in the selection of martial assistant coach, to determine who is right. Its results will didadaptkan by comparing the two methods in the decision support system, by using the Analytic Hierarchy Process (AHP) and the Simple Additive Weight (SAW) in limiting the problems in producing the desired solution, using multiple criteria (multi-criteria). AHP and SAW has a different way of doing the calculation. This is done to determine which method is looking for help in making decisions. And in this study are the criteria Discipline, Knowledge, Leadership, Attitude, and Level. And there are sub criteria on Level, which Black (AND I) and Red Black II.

scholarly journals Applying the Analytic Hierarchy Process Decision Analysis to Better Understand Adoption Intentions of Mobile Banking

2016 ◽  
Vol 6 (1) ◽  
pp. 431
Author(s):  
Wen-Tsung Wu ◽  
Chie-Bein Chen ◽  
Chiao-Chen Chang
Keyword(s):  
Analytic Hierarchy Process ◽  
Decision Analysis ◽  
Mobile Banking ◽  
Analytic Hierarchy ◽  
Research Findings ◽  
The Analytic Hierarchy Process ◽  
Banking Development ◽  
Hierarchy Process ◽  
Adoption Intention ◽  
Selection Of

<p class="ber"><span lang="EN-GB">The purpose of this study was to examine the influencing factors of the adoption intention of mobile banking from a bank perspective. The survey data were conducted from a selection of mobile banking, and were analyzed by the analytic hierarchy process (AHP) decision analysis to explore adoption intentions in the context of mobile banking. The results of the AHP decision analysis revealed that the “convenience” and the “personalization” were the most important factors for mobile banking from a bank’s perspective. Furthermore, the research findings illustrated theoretical and practical implications for mobile banking development and indicated how to reinforce the “location-based benefits” and the “transaction speed” in order to create customer adoption intentions via a bank perspective.</span></p>

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