Development of Fuzzy Integrated Quality Function Deployment Software – A Conceptual Analysis

Ashish K. Sharma*, Ashish K. Sharma**, J.R. Sharma***
* Lecturer, Dept. of Information Technology, Manoharbhai Patel Institute of Engineering & Technology, Gondia.
** Asst. Prof. and Head. Dept. of Computer and Information Technology, Manoharbhai Patel Institute of Engineering and Technology, Gondia.
*** Associate Professor, Dept. of Management, Institute of Management Technology (IMT), Nagpur.
Periodicity:January - March'2009
DOI : https://doi.org/10.26634/jse.3.3.190

Abstract

Quality Function Deployment (QFD) is a methodology for building the "Voice of the Customer" into product and service design. In the Quality Function Deployment (QFD) process, decision-making is an essential and crucial task. QFD is an extensive process that contains loads of data and involves complex calculations making it more tedious for designers and engineers to deal manually with this data. Moreover, since the traditional QFD exercise employs linguistic expressions and crisp values, fuzzy concepts are to be employed for accurate results. Thus a need for efficient fuzzy integrated QFD software is highly recognized in the QFD software market. Softwares can be suitably designed to meet market requirements only when the associated data are meticulously examined and customer needs are better understood. To this end, the paper aims to analyze the QFD process from both viewpoints — Traditional as well as Software so as to mine valuable information which can be used for the development of QFD software. It then talks about the shortcomings in the available ones and the features required therein. It also discusses fuzzy concepts and its incorporation in the QFD software. The result of this work will assist the software developers in understanding the QFD process and choosing the appropriate tools, which in turn will lead to development of efficient QFD Software.

Keywords

Software, QFD, Automation, Fuzzy, STFN, Data

How to Cite this Article?

Ashish K. Sharma, Mehta I.C and Jitendra Sharma (2009). Development of Fuzzy Integrated Quality Function Deployment Software – A Conceptual Analysis,i-manager’s Journal on Software Engineering, 3(3),16-24. https://doi.org/10.26634/jse.3.3.190

References

[1]. Akao, Y. (1990) 'Quality function deployment: Integrating customer requirements into products design', Cambridge, Massachusetts.
[2]. Akao, Y. (1997) 'QFD: Past Present and Future', Proceedings of the International Symposium on QFD, Linko¨ping.
[3]. Chan L.K. and Wu M.L. (2005), A systematic approach to QFD with a full illustrative example, International journal of Management Science, Omega 33 (2005) 119-139.
[4]. Dean, J. and Evans, J. (1994), 'Total Quality: management, organization and strategy', St. Paul MN: West Publishing Company.
[5]. Griffin, A. (1992) 'Evaluating QFD's use in U.S. firms as a process for developing products', Journal of Product Innovation Management, Michigan, USA.
[6]. Govers, C. (1996) 'What and How about Quality Function Deployment (QFD)', International Journal of Production Economics, pp 575-585.
[7]. Herzwurm, G., Mellis, W. and Schockert, S. (1996), 'Determining the success of QFD', QFD institute – Proceedings of the 8th Symposium on QFD Novi, Michigan, USA.
[8]. Herzwurm, G., Mellis, W., Schockert, S. and Weinberger, C. (1997), Customer Oriented Evaluation of QFD Software Tools.
[9]. Jacobson, I., Booch,G. and Rumbaugh, I.(1998) The Unified Software Development Process. Addison-Wesley, Boston.
[10]. Kivinen, T. (2006), 'Applying QFD to improve the requirements and project management in small-scale project', University of Tampere, Department of Computing Sciences, Computer sciences
[11]. Lin, M.C., et al. (2004), Using Fuzzy QFD for Design of Low-end Digital Camera, International Journal of Applied Science and Engineering 2004. 2, 3: 222-233.
[12]. Prasad, B. (1998), 'Review of Quality Function Deployment (QFD) and related Deployment Techniques', Journal of Manufacturing Systems, pp 221-234.
[13]. Quinn R.R. Quality Function Deployment (Qfd): A Case Study, Manager, Market Research and Developmental Process, Intertape Polymer Group, Marysville, Mi.
[14]. Sharma, J.R. et al. (2003), 'Understanding quality function deployment-A TQM tool to quantify customers needs', National conference on world class manufacturing, Coimbatore.
[15]. Sharma, J.R., Tabarno, S and Rawani A.M., (2006) 'Integrating Quality Function Deployment With Software Development Engineering For Higher Customer Satisfaction', Indian Journal of Information Science and Technology, Vol.1, pp.35-43.
[16]. Zaim S. and ªevkli M ( ) The Methodology of Quality Function Deployment with Crisp and Fuzzy Approaches and an Application in the Turkish Shampoo Industry, Journal of Economic and Social Research 4 (1), 27-53.
[17]. Zultner, R.E. (1990), 'Software Quality Function Deployment-Applying QFD to Software', Transactions from the Second Symposium on Quality Function Deployment. Novi, Michigan.
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Pdf 35 35 200 20
Online 35 35 200 15
Pdf & Online 35 35 400 25

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.