scholarly journals Identifying public and experts perspectives towards large-scale solar PV system using analytic hierarchy process

2017 ◽  
Vol 142 ◽  
pp. 2554-2560
Author(s):  
Maryam Huda ◽  
Keiichi Okajima ◽  
Kengo Suzuki
Keyword(s):  
Analytic Hierarchy Process ◽  
Large Scale ◽  
Solar Pv ◽  
Pv System ◽  
Analytic Hierarchy ◽  
Solar Pv System ◽  
Hierarchy Process

scholarly journals Vendor Selection by Analytic Hierarchy Process (AHP) in Livestock Trading Ecosystem

2021 ◽  
Vol 57 (9) ◽  
pp. 6220-6229
Author(s):  
Prashant Rai, Dr Arun Kumar ON
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Large Scale ◽  
Bubalus Bubalis ◽  
Small Scale ◽  
Analytic Hierarchy ◽  
Murrah Buffalo ◽  
Practical Tool ◽  
Hierarchy Process ◽  
Selection Of

As livestock plays a very crucial role in Indian economy. Livestock trading in India is very unstructured. The Buyer can be farmer or Diary farm owner who wants to procure a livestock. In this research the Livestock which is considered is the Murrah buffalo belong to water buffalo (Bubalus bubalis) breed which are mainly kept for milk production. The buyer is available with 8 suppliers which are fulfilling the same criteria of the breed. The Suppliers are divided into two segments, large scale supplier and small scale supplier. The supplier having more than 10 livestock of same breed has been considered large scale supplier, and the supplier having less than or equal to 10 has been considered small scale supplier. As competition is increasing every day the procurement activities are highly important. So, Multi criteria decision making approach has been used. Specifically, Analytic Hierarchy Process has been used for the selection of vendor among the alternatives available. In this research three criteria, seven sub criteria and eight alternatives has been evaluated. All vendors are ranked according to the result obtained from the AHP to aid the decision making. By implementation of AHP we were able to obtain the best fit vendor. AHP is a practical tool used for aiding the decision making when there are too many parameters. In Livestock trading ecosystem this tool will help in decision making

scholarly journals Evaluation Model for Investment in Solar Photovoltaic Power Generation Using Fuzzy Analytic Hierarchy Process

2019 ◽  
Vol 11 (10) ◽  
pp. 2905 ◽  
Author(s):  
BumChoong Kim ◽  
Juhan Kim ◽  
Jinsoo Kim
Keyword(s):  
Power Generation ◽  
Analytic Hierarchy Process ◽  
Evaluation Model ◽  
Fuzzy Analytic Hierarchy Process ◽  
Investment Strategies ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Analytic Hierarchy ◽  
Financial Factors ◽  
Hierarchy Process

Owing to rapid growth in the Asian solar photovoltaic (PV) power market, decision-making models are required to develop efficient investment strategies. Previous studies have largely focused on technological conditions and macroeconomic indicators, but not on the increasing needs of the financial sector. In this study, we developed an evaluation model of solar PV investment and financial factors at the project level. The model applies the fuzzy analytic hierarchy process and selects appropriate evaluation indicators for investment by emphasizing financial factors such as access to finance and exit strategies after the initial investment. Furthermore, we derived the relative importance of the indicators for each stakeholder. Stakeholder analysis enables comparison by quantifying the risks of each market participant. Economic factors (71.57%) were selected as the most important evaluation factors, followed by policy factors (16.26%), and technical factors (12.17%). Higher weights were assigned to indicators that directly affect profitability. Stakeholders showed significant differences in policy factors. Power generation companies showed higher weight values in policy factors than other groups. Quantification of differences in perceptions provides basic data for establishing effective investment strategies and developing policies. Therefore, the proposed model will contribute to more efficient solar PV project development.

scholarly journals Selecting Postharvest Technology Method for Citrus Fruit using Analytic Hierarchy Process (AHP)

2016 ◽  
Vol 3 (3) ◽  
pp. 77 ◽  
Author(s):  
Andi Dirpan ◽  
Alim Setiawan Slamet
Keyword(s):  
Analytic Hierarchy Process ◽  
Large Scale ◽  
Morphological Changes ◽  
Modified Atmosphere Packaging ◽  
Citrus Fruit ◽  
Hot Water ◽  
Technology Selection ◽  
Analytic Hierarchy ◽  
Handling Methods ◽  
Hierarchy Process

<p>Ehime Prefecture is one of the main citrus fruit producing regions in Japan. As many as 20 major citrus varieties are cultivated in Ehime annually. The harvest of citrus fruit in a large scale has brought the consequences in the postharvest deterioration. It could be caused by many factors, including metabolic changes, (biochemical changes associated with respiratory metabolism, ethylene biosynthesis and action, and compositional changes), growth and development (anatomical and morphological changes), physical injuries, water loss, physiological disorders, and pathological To reduce these losses, it is suggested to apply proper handling methods or postharvest technologies that delay senescence and maintain the best possible quality. There are some handling methods or postharvest technologies that can be used to maintain the quality of citrus fruit, such as: modified atmosphere packaging (MAP), controlled atmosphere storage (CAS), coatings, hot water treatment, and etc. In this paper, analytic hierarchy process (AHP) is used to select the best postharvest method for preserving citrus fruit in Ehime. The ability of the AHP to provide selection of the postharvest technology with process flexibility like criteria selection, technology selection and criteria weightages allows its use by students, researchers, entrepreneurs, technology facilitators, policy makers, etc.</p><p><strong>Keywords</strong>: Analytic hierarchy process, postharvest, citrus. </p>

The Application of Analytic Hierarchy Process in the Evaluation of Simulation Models of Marine Diesel Engine

2014 ◽  
Vol 525 ◽  
pp. 203-209
Author(s):  
Yuan Qing Wang ◽  
Guang Ren ◽  
Zeng Yan ◽  
Yang Hui Tan
Keyword(s):  
Diesel Engine ◽  
Analytic Hierarchy Process ◽  
Large Scale ◽  
Simulation Models ◽  
Mean Value ◽  
Marine Diesel Engine ◽  
Analytic Hierarchy ◽  
Engine Simulation ◽  
Marine Diesel ◽  
Hierarchy Process

Facing to the problem of hierarchical structure decision analysis which is made of scheme level + factor level + target level, the analytic hierarchy process gives a whole set of solution and process. This method is used to evaluate diesel engine simulation model. Evaluate original mean value model of large-scale low-speed marine diesel engine and the new one by this method. Calculated results prove this method is applicable.

Assessment of Wilderness Quality Using the Analytic Hierarchy Process

2002 ◽  
Vol 8 (2) ◽  
pp. 189-206 ◽  
Author(s):  
Jayanath Ananda ◽  
Gamini Herath
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Analytic Hierarchy Process ◽  
Focus Groups ◽  
Large Scale ◽  
Assessment Method ◽  
Analytic Hierarchy ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

Wilderness is a unique environmental resource that provides a multitude of use and non-use benefits. The use and management of wilderness depend on the assessment of wilderness quality. Current wilderness assessment in Australia is based on two broad criteria, the remoteness and naturalness of the wilderness, determined using geographic information systems. This paper discusses a complementary assessment method using the Analytic Hierarchy Process (AHP). The AHP can be used to incorporate additional criteria, such as social and cultural criteria, to improve the quality of wilderness assessment. It provides a flexible and compatible method for large-scale wilderness assessments with multiple criteria. The weighting factors for the different criteria can be obtained from expert panels and focus groups.

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