Supplier selection for solar photovoltaic (PV) module using analytical hierarchy process: Perlis Solar Plant Project

The selection of photovoltaic (PV) modules plays an important role in the design of solar power plants. Given that PV module contributes to financial implications, there is a need to review the selection process suppliers to accelerate the implementation of the project. Therefore, the Analytical Hie...

Full description

Saved in:
Bibliographic Details
Main Author: Zainurita, Mohamed Adnan
Format: Thesis
Language:English
English
Published: 2016
Subjects:
Online Access:https://etd.uum.edu.my/5933/1/s810012_01.pdf
https://etd.uum.edu.my/5933/2/s810012_02.pdf
https://etd.uum.edu.my/5933/
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The selection of photovoltaic (PV) modules plays an important role in the design of solar power plants. Given that PV module contributes to financial implications, there is a need to review the selection process suppliers to accelerate the implementation of the project. Therefore, the Analytical Hierarchy Process (AHP) has been identified as a decision-making structure that can be used by the solar plant. Basically, AHP uses a structured way for a complex problem with maintaining the simplicity and flexibility of the analysis process. The results obtained in this process can helps in the selection of suppliers to provide a qualitative and quantitative assessment. It can also be used as a reference for other projects in different locations and PV system design. In addition, this study can provide useful information on the performance of the power generation plant for several years with the use of current PV modules. A set of criteria that can be trusted to make decisions that have been identified, namely the financial aspect, the aspect of quality, support resources, capacity aspects, management aspects, and outsourcing aspects. It can be said that by using AHP model can give the rating position and selection of suppliers for Perlis Solar Plant Project. Therefore, the decision making process can be improved and more systematic.