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u00a0Ashish K. Sharma, Neha Purohit, Shruti Thakur,
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nAbstract
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The ‘voice of customers’ drives the Quality Function Deployment (QFD) process, which is a customer-focusedproduct development method. Making decisions is a critical component of the QFD process. Although QFD aids decision-making, its subjectivity results in ambiguity and uncertainty, resulting in less accurate and consistent findings. Fuzzy ideas must be incorporated to deal with the ambiguity and uncertainty inherent in the QFD process. This will result in better decision-making. Businesses can benefit from web-based apps in a variety of ways. As a result, this research presents a web-based fuzzy integrated QFD application. It examines QFD and Fuzzy concepts in this regard, as well as theexisting software and web resources. It then goes on to discuss the faults of the existing ones as well as the features that are necessary. The study then concludes with the proposed web application’s applicability as a strong decision support tool that will allow designers and engineers in the QFD process to evaluate decision making with respect to process andeffectively guide design decisions. PHP and MySQL could be used to create the application.
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Keywords Web Application, QFD Process, Fuzzy Integration, STFN, Decision Support Tool, PHP
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References
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1. SharmaAK, KhandaitS. A novel fuzzy integrated customer needs prioritization software tool for effective Design of Online Shopping Websites. International Journal of Operations Research and Information Systems (IJORIS). 2017; 8(4): 23–42.
2.HsuCH, WangSY,LinLT. Using innovative technology in QFD to improve marketing quality.In WSEAS International Conference on Applied Mathematics.2007; 123–128.
3.Ashish K. Sharma, Mehta I.C and Jitendra Sharma. Development of Fuzzy Integrated Quality Function Deployment Software –A Conceptual Analysis,i-manager’s Journal on Software Engineering. 2009;3(3):16-24.
4.GriffinA.Evaluating QFD‘s use in U.S. firms as a process for developing products‖. JProdInnovManag.1992;9(3): 171–87.
5.SharmaAK, KhandaitS. A novel software tool to generate customer needs for effective design of online shopping websites. International Journal of Information Technology and Computer Science(IJITCS). 2016; 3: 85–92.
6.SharmaAK, KhandaitSP. Evaluation of programming tools for the development of fuzzy-QFD driven software tool for effective design of online shopping websites. IntJInnovResComputSciTechnol. 2015; 3(5): 18–23.
7.Geeks. (2019Dec 20). The benefits of using web-based applications.[Online]. Available fromhttps://www.geeks.ltd.uk/insights/the-benefits-of-using-web-based-applications
8.ShahS, GuoH, XuX. Development of a web-based quality function deployment system. IntJInternet ManufServ. 2011; 3(1): 16–31.
9.SudhaharC, KumarRSP, SenthilV, DevadasanSR, MurugeshR. Web-based QFD: a collaborative technique for supporting the adoption of customers’ voices. IntJBusInfSyst. 2009; 4(3): 360–385.
10.PurohitSK, SharmaAK. Database Design for Data Mining Driven Forecasting Software Tool for Quality Function Deployment. IntJInfEngElectronBus. 2015; 7(4): 39–50.
11.PurohitSK, SharmaAK. Development of data mining driven software tool to forecast the customer requirement for quality function deployment. IntJBusAnal(IJBAN). 2017; 4(1): 56–86.
12.CohenL. Quality function deployment: how to make QFD work for you.Reading, Mass. : Addison-Wesley, 1995.
13.SharmaAK, SharmaJ, MehtaIC. A Novel Fuzzy Integrated Technical Requirements Prioritization Software System for Quality Function Deployment. IntJComputAppl. 2012; 34(4): 241–248.
14.Stanford Encyclopedia of Philosophy. Fuzzy Logic 2021. [Online]. Available from https://plato.stanford.edu/entries/logic-fuzzy/
15.Tutorials Point. Artificial Intelligence -Fuzzy Logic Systems.[Online]. Available from https://www.tutorialspoint.com/artificial_intelligence/artificial_intelligence_fuzzy_logic_systems.htm
16.CaoY, LiY. An intelligent fuzzy-based recommendation system for consumer electronic products. Expert SystAppl. 2007; 33(1): 230–240.
17.LinHY, HsuPY, SheenGJ. A fuzzy-based decision-making procedure for data warehouse system selection. Expert SystAppl. 2007; 32(3): 939–953.
18. MazurG. (2008).QFD and Voice of Customer Analysis–QFD Software.[Online].Available at:http://www.mazur.net/qfd_software.htm.
19.TechTarget. Web application (Web app).[Online]. Available fromhttps://www.techtarget.com/searchsoftwarequality/definition/Web-application-Web-app
20.Lvivity. Web-Based Application: What It Is, and Why You Should Use It.[Online]. Available from https://lvivity.com/web-based-applications
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Journal Menu
Editors Overview
jowet maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.
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- By [foreach 286]n
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Ashish K. Sharma, Neha Purohit, Shruti Thakur
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- Associate Professor, Assistant Professor, Associate Professor,Department of Computer Science and Engineering, G.H. Raisoni College of Engineering, Nagpur,, Department of Computer Science and Engineering, G.H. Raisoni College of Engineering, Nagpur,, Department of Computer Science and Engineering, G.H. Raisoni College of Engineering, Nagpur,,Maharashtra, Maharashtra, Maharashtra,India, India, India
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Abstract
nThe ‘voice of customers’ drives the Quality Function Deployment (QFD) process, which is a customer-focusedproduct development method. Making decisions is a critical component of the QFD process. Although QFD aids decision-making, its subjectivity results in ambiguity and uncertainty, resulting in less accurate and consistent findings. Fuzzy ideas must be incorporated to deal with the ambiguity and uncertainty inherent in the QFD process. This will result in better decision-making. Businesses can benefit from web-based apps in a variety of ways. As a result, this research presents a web-based fuzzy integrated QFD application. It examines QFD and Fuzzy concepts in this regard, as well as theexisting software and web resources. It then goes on to discuss the faults of the existing ones as well as the features that are necessary. The study then concludes with the proposed web application’s applicability as a strong decision support tool that will allow designers and engineers in the QFD process to evaluate decision making with respect to process andeffectively guide design decisions. PHP and MySQL could be used to create the application.n
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Keywords: Web Application, QFD Process, Fuzzy Integration, STFN, Decision Support Tool, PHP
n[if 424 equals=”Regular Issue”][This article belongs to Journal of Web Engineering & Technology(jowet)]
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Full Text
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Browse Figures
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References
n[if 1104 equals=””]
1. SharmaAK, KhandaitS. A novel fuzzy integrated customer needs prioritization software tool for effective Design of Online Shopping Websites. International Journal of Operations Research and Information Systems (IJORIS). 2017; 8(4): 23–42.
2.HsuCH, WangSY,LinLT. Using innovative technology in QFD to improve marketing quality.In WSEAS International Conference on Applied Mathematics.2007; 123–128.
3.Ashish K. Sharma, Mehta I.C and Jitendra Sharma. Development of Fuzzy Integrated Quality Function Deployment Software –A Conceptual Analysis,i-manager’s Journal on Software Engineering. 2009;3(3):16-24.
4.GriffinA.Evaluating QFD‘s use in U.S. firms as a process for developing products‖. JProdInnovManag.1992;9(3): 171–87.
5.SharmaAK, KhandaitS. A novel software tool to generate customer needs for effective design of online shopping websites. International Journal of Information Technology and Computer Science(IJITCS). 2016; 3: 85–92.
6.SharmaAK, KhandaitSP. Evaluation of programming tools for the development of fuzzy-QFD driven software tool for effective design of online shopping websites. IntJInnovResComputSciTechnol. 2015; 3(5): 18–23.
7.Geeks. (2019Dec 20). The benefits of using web-based applications.[Online]. Available fromhttps://www.geeks.ltd.uk/insights/the-benefits-of-using-web-based-applications
8.ShahS, GuoH, XuX. Development of a web-based quality function deployment system. IntJInternet ManufServ. 2011; 3(1): 16–31.
9.SudhaharC, KumarRSP, SenthilV, DevadasanSR, MurugeshR. Web-based QFD: a collaborative technique for supporting the adoption of customers’ voices. IntJBusInfSyst. 2009; 4(3): 360–385.
10.PurohitSK, SharmaAK. Database Design for Data Mining Driven Forecasting Software Tool for Quality Function Deployment. IntJInfEngElectronBus. 2015; 7(4): 39–50.
11.PurohitSK, SharmaAK. Development of data mining driven software tool to forecast the customer requirement for quality function deployment. IntJBusAnal(IJBAN). 2017; 4(1): 56–86.
12.CohenL. Quality function deployment: how to make QFD work for you.Reading, Mass. : Addison-Wesley, 1995.
13.SharmaAK, SharmaJ, MehtaIC. A Novel Fuzzy Integrated Technical Requirements Prioritization Software System for Quality Function Deployment. IntJComputAppl. 2012; 34(4): 241–248.
14.Stanford Encyclopedia of Philosophy. Fuzzy Logic 2021. [Online]. Available from https://plato.stanford.edu/entries/logic-fuzzy/
15.Tutorials Point. Artificial Intelligence -Fuzzy Logic Systems.[Online]. Available from https://www.tutorialspoint.com/artificial_intelligence/artificial_intelligence_fuzzy_logic_systems.htm
16.CaoY, LiY. An intelligent fuzzy-based recommendation system for consumer electronic products. Expert SystAppl. 2007; 33(1): 230–240.
17.LinHY, HsuPY, SheenGJ. A fuzzy-based decision-making procedure for data warehouse system selection. Expert SystAppl. 2007; 32(3): 939–953.
18. MazurG. (2008).QFD and Voice of Customer Analysis–QFD Software.[Online].Available at:http://www.mazur.net/qfd_software.htm.
19.TechTarget. Web application (Web app).[Online]. Available fromhttps://www.techtarget.com/searchsoftwarequality/definition/Web-application-Web-app
20.Lvivity. Web-Based Application: What It Is, and Why You Should Use It.[Online]. Available from https://lvivity.com/web-based-applications
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Journal of Web Engineering & Technology
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| Volume | 9 |
| Issue | 1 |
| Received | April 25, 2022 |
| Accepted | April 29, 2022 |
| Published | May 2, 2022 |
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