scholarly journals ANALYTIC HIERARCHY PROCESS MODEL FOR THE SELECTION OF OPTIMAL INTERNET ACCESS TECHNOLOGIES IN RURAL PAKISTAN

2020 ◽  
Vol 12 (2) ◽  
Author(s):  
Ibrar Ibrar ◽  
Suk Kyoung Kim ◽  
Jongsu Lee ◽  
Jae Jeung Rho
Keyword(s):  
Analytic Hierarchy Process ◽  
Rural Areas ◽  
Process Model ◽  
Internet Access ◽  
Analytic Hierarchy ◽  
Access Technology ◽  
Rural Pakistan ◽  
Urban And Rural Areas ◽  
Hierarchy Process ◽  
Selection Of

Information and telecommunication technologies are considered significant for the economic and social development of isolated and remote areas. Internet technologies create links between urban and rural areas that can overcome the barrier of distance that typically hinders development. In rural areas of Pakistan, Internet penetration is low due to high cost, lack of manageable infrastructure, public issues and many other factors that disturb sustainable Internet provision; however, the choice of access to technology in rural areas is a complex process. In this paper, we used the Analytic Hierarchy Process (AHP) method, which is a powerful multi-criteria decision-making (MCDM) approach and is a structured procedure for organizing and analyzing complex decisions. Furthermore, we proposed an AHP model for the selection of an ideal Internet access technology, which would facilitate access to Internet services to the 61% of the population who live in Pakistan’s rural areas. Data were collected from 38 respondents, from both academia and the telecom sector IT professionals. The relative weights of each factor and technology alternative were synthesized with Expert Choice 2000. This paper can provide comprehensive recommendations to telecommunication policymakers for Internet deployment and the selection of optimal Internet access technology in rural Pakistan.  

Gray Analytic Hierarchy Process Model of Reasonable Substitute of Composite Materials

2013 ◽  
Vol 821-822 ◽  
pp. 1248-1251
Author(s):  
Bao Ping Chen
Keyword(s):  
Composite Materials ◽  
Analytic Hierarchy Process ◽  
Basic Principle ◽  
Process Model ◽  
Evaluation Process ◽  
Analytic Hierarchy ◽  
Accurate Evaluation ◽  
Hierarchy Process ◽  
Substitute Materials ◽  
Selection Of

The gray analytic hierarchy process (GAHP) can be used to find the reasonable substitute of the expensive or much needed composite materials in the market, thus avoiding the subjectivism and one-sidedness of choosing the substitute materials by experience. This paper introduces the basic principle and analysis steps of GAHP and the application cases in the substitute selection of composite materials. As is proved in practice that the evaluation process is reasonable and objective. At the same time, due to the accurate evaluation results, it avoids the subjectivity and one-sidedness otherwise being unavoidable for judging by experience.Its an effective method to solve the substitute of composite materials with GAHP. The evaluation results can accurately reflect the performance of the substitute.

scholarly journals Analisa pemilihan supplier dengan metode Analytic Hierarchy Process: Kasus Perusahaan Otomotif di Sunter

2019 ◽  
Vol 11 (3) ◽  
pp. 322
Author(s):  
Estu Adi Sambudi
Keyword(s):  
Analytic Hierarchy Process ◽  
Process Model ◽  
Raw Materials ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Automotive Manufacturing ◽  
The One ◽  
Hierarchy Process ◽  
A Company ◽  
Selection Of

The selection of a competent supplier is the one important factor to be able to compete with other companies. PT. XYZ, a company located in Sunter, is engaged in automotive manufacturing. In the period of 2017 PT. XYZ has several lines stop due to several factors, such as the delivery of raw materials which is often late, resulting in the availability of raw materials on the production line is less, incompatibility the goods compared to the specifications. Eight of them are stamping suppliers. The purpose of this study is to design an AHP (Analytic Hierarchy Process) model that can be used to determine the criteria and the score of that, also determine the alternative suppliers which are the main priority in selecting supplier stamping.  Based on the data processing using the AHP method, obtained 5 criteria, Quality, price, delivery, capability, and service. The highest criteria’s value is quality with score 30%. While the priority of stamping supplier is PT C (12,49) and PT E is the supplier which is not prioritized because it is in the lowest position (5,68).

scholarly journals Using AI-MCDM Model to Boost Sustainable Energy System Development: A Case Study on Solar Energy and Rainwater Collection in Guangdong Province

2021 ◽  
Vol 13 (22) ◽  
pp. 12505
Author(s):  
Sung-Lin Hsueh ◽  
Yuan Feng ◽  
Yue Sun ◽  
Ruqi Jia ◽  
Min-Ren Yan
Keyword(s):  
Solar Energy ◽  
Analytic Hierarchy Process ◽  
Rural Areas ◽  
Process Model ◽  
Residential Buildings ◽  
Guangdong Province ◽  
Low Carbon ◽  
Rural Residents ◽  
Analytic Hierarchy ◽  
Hierarchy Process

Rural areas in southern China receive ample rainfall annually as well as over 1600 h of annual sunshine. Despite a generally severe urban–rural development imbalance, these rural areas feature well-developed basic infrastructure and diverse economic activities. Rural revitalization policies in these areas have emphasized the development of cultural and ecological tourism, which has spurred economic development and given rise to a trend of villa construction. Residential buildings sit on large areas where natural resources are abundant. These advantages are conducive to the development and use of sustainable resources. This study proposes an incentive policy encouraging rural residents to renovate their buildings to include rainwater conservation and solar power generation. The Delphi method, an analytic hierarchy process, and fuzzy logic theory were combined to establish an AI-MCDM model, with applications of artificial intelligence and multiple-criteria decision making. Using Conghua District, Guangdong Province as an example, the study suggested that the model is beneficial to increasing the willingness of rural residents to reconstruct and renovate their residences, promoting the development of a low-carbon ecological region, Wenquan Township. We conducted the Delphi process twice to assess and validate incentives for installing natural resource conservation structures in agricultural areas. Nine criteria were identified, which can be divided into three main dimensions of participation situation, generating capacity, and storage facilities. The proposed AI-MCDM model developed using the Delphi–Fuzzy Analytic Hierarchy Process Model has high objectivity and can support rural areas in developing low-carbon, sustainable characteristics. The findings can serve as a reference for governments formulating incentives to encourage the installation of rainwater conservation and solar energy generation structures by rural households.

Study on Selection of Alliance Cooperation Partner of Freight Transport on a Special Route

2014 ◽  
Vol 587-589 ◽  
pp. 1761-1765
Author(s):  
Hai Cheng Wang ◽  
Cai Yun Zhou
Keyword(s):  
Analytic Hierarchy Process ◽  
Process Model ◽  
High Efficiency ◽  
Indicator System ◽  
Freight Transport ◽  
Analytic Hierarchy ◽  
Cooperation System ◽  
Hierarchy Process ◽  
Cooperation Partner ◽  
Selection Of

Enterprises of freight transport on a special route have to own alliance cooperation system with high efficiency in order to build alliance of freight transport. Selecting cooperative partners is the basis for establishing an efficient transportation system. The paper firstly analyzes the principle of selecting cooperative partners of freight transport alliance on a special route, summarizes the indicator system of selecting cooperative partners of freight transport alliance on a special route, establishes analytic hierarchy process model and finally proves the model with examples.

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.

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