The Optimization of Photovoltaic Systems Design Using Mathematical Modeling and QFD-DSM Methods
In today's industrialized world, to survive in competitive markets, businesses are required to identify the expectations of their customers, whether explicitly or implicitly, and focus on these needs from the planning to the operational level. To produce customer-oriented products, it is impor...
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| Format: | Article |
| Language: | English |
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OICC Press
2022-06-01
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| Series: | Majlesi Journal of Electrical Engineering |
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| Online Access: | https://oiccpress.com/mjee/article/view/4951 |
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| author | Marziyeh Kashani Atefeh Amindoust Mahdi Karbasian Abbas Sheikh Aboumasoudi |
| author_facet | Marziyeh Kashani Atefeh Amindoust Mahdi Karbasian Abbas Sheikh Aboumasoudi |
| author_sort | Marziyeh Kashani |
| collection | DOAJ |
| description | In today's industrialized world, to survive in competitive markets, businesses are required to identify the expectations of their customers, whether explicitly or implicitly, and focus on these needs from the planning to the operational level. To produce customer-oriented products, it is important to extract design requirements that meet the identified needs. The purpose of the present study, which has been done on Photovoltaic systems (PV), is to develop a model for the selection of the optimal components required to design a new product. In this regard, Customer Needs (CNs) which have been extracted from the first stage of the systems engineering process have been interpreted to Functional Requirements (FRs) using the first matrix of QFD. They have examined and prioritized by use of Analytical Network Process (ANP). Then FRs have entered the second matrix of QFD and examined along with leveled components based on the alternatives available for each component. Also, the Design Structure Matrix (DSM) has been used to evaluate the effect of elements upon each other in each phase. Finally, the optimal components are selected by the presented multi-objective mathematical model. Accurate assessment of customer needs using a systems engineering framework in addition to extracting important functional requirements to meet the needs as well as selecting the optimal components for new product design, by integrating the three methods QFD, ANP and DSM, using multi-objective mathematical modeling has not been done by other researchers so far. |
| format | Article |
| id | doaj-art-9d064018133f412582d233bcf62dcaab |
| institution | OA Journals |
| issn | 2345-377X 2345-3796 |
| language | English |
| publishDate | 2022-06-01 |
| publisher | OICC Press |
| record_format | Article |
| series | Majlesi Journal of Electrical Engineering |
| spelling | doaj-art-9d064018133f412582d233bcf62dcaab2025-08-20T02:16:33ZengOICC PressMajlesi Journal of Electrical Engineering2345-377X2345-37962022-06-0116210.30486/mjee.2022.696495The Optimization of Photovoltaic Systems Design Using Mathematical Modeling and QFD-DSM MethodsMarziyeh Kashani0Atefeh Amindoust1Mahdi Karbasian2Abbas Sheikh Aboumasoudi3Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Najafabad, IranDepartment of Industrial Engineering, Najafabad Branch, Islamic Azad University, Najafabad, IranDepartment of Industrial Engineering, Maleke-Ashtar University of Technology, Isfahan, IranDepartment of Industrial Engineering, Najafabad Branch, Islamic Azad University, Najafabad, IranIn today's industrialized world, to survive in competitive markets, businesses are required to identify the expectations of their customers, whether explicitly or implicitly, and focus on these needs from the planning to the operational level. To produce customer-oriented products, it is important to extract design requirements that meet the identified needs. The purpose of the present study, which has been done on Photovoltaic systems (PV), is to develop a model for the selection of the optimal components required to design a new product. In this regard, Customer Needs (CNs) which have been extracted from the first stage of the systems engineering process have been interpreted to Functional Requirements (FRs) using the first matrix of QFD. They have examined and prioritized by use of Analytical Network Process (ANP). Then FRs have entered the second matrix of QFD and examined along with leveled components based on the alternatives available for each component. Also, the Design Structure Matrix (DSM) has been used to evaluate the effect of elements upon each other in each phase. Finally, the optimal components are selected by the presented multi-objective mathematical model. Accurate assessment of customer needs using a systems engineering framework in addition to extracting important functional requirements to meet the needs as well as selecting the optimal components for new product design, by integrating the three methods QFD, ANP and DSM, using multi-objective mathematical modeling has not been done by other researchers so far.https://oiccpress.com/mjee/article/view/4951Functional RequirementsMathematical Modeling. Systems EngineeringNew Products DevelopmentPhotovoltaic systemsRenewable EnergySolar Power System |
| spellingShingle | Marziyeh Kashani Atefeh Amindoust Mahdi Karbasian Abbas Sheikh Aboumasoudi The Optimization of Photovoltaic Systems Design Using Mathematical Modeling and QFD-DSM Methods Majlesi Journal of Electrical Engineering Functional Requirements Mathematical Modeling. Systems Engineering New Products Development Photovoltaic systems Renewable Energy Solar Power System |
| title | The Optimization of Photovoltaic Systems Design Using Mathematical Modeling and QFD-DSM Methods |
| title_full | The Optimization of Photovoltaic Systems Design Using Mathematical Modeling and QFD-DSM Methods |
| title_fullStr | The Optimization of Photovoltaic Systems Design Using Mathematical Modeling and QFD-DSM Methods |
| title_full_unstemmed | The Optimization of Photovoltaic Systems Design Using Mathematical Modeling and QFD-DSM Methods |
| title_short | The Optimization of Photovoltaic Systems Design Using Mathematical Modeling and QFD-DSM Methods |
| title_sort | optimization of photovoltaic systems design using mathematical modeling and qfd dsm methods |
| topic | Functional Requirements Mathematical Modeling. Systems Engineering New Products Development Photovoltaic systems Renewable Energy Solar Power System |
| url | https://oiccpress.com/mjee/article/view/4951 |
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