Development of Data Mining Driven Software Tool to Forecast the Customer Requirement for Quality Function Deployment

@article{Purohit2017DevelopmentOD,
  title={Development of Data Mining Driven Software Tool to Forecast the Customer Requirement for Quality Function Deployment},
  author={Shivani K. Purohit and Ashish K. Sharma},
  journal={International journal of business},
  year={2017},
  volume={4},
  pages={56-86}
}
Quality Function Deployment (QFD) is widely used customer driven process for product development. Thus, Customer Requirements (CRs) play a key role in QFD process. However, the diversification in marketplace makes these CRs more dynamic and changing, giving rise the need to forecast CRs to improve competitiveness and increase customer satisfaction. The purpose can be served by using Data Mining techniques of forecasting. With the pool of forecasting techniques available, it is important to… 
A systematic literature review of product platform design under uncertainty
TLDR
This literature review lays the foundation for future research of product platform design under uncertainty, including the connotation of uncertainty, the concepts of emerging UOPPs, the development process of UOPP, as well as the development technologies in each step.
Corporate Governance-based Evaluation of Alternative Distribution Channels in the Turkish Banking Sector Using Quality Function Deployment with an Integrated Fuzzy MCDM Method
The aim of the chapter is to evaluate the effect of corporate governance in alternative distribution channels for the Turkish banking sector. For this purpose, an integrated fuzzy MCDM model is
Big Data Visualization by MapReduce for Discovering the Relationship Between Pollutant Gases
Big data mining and pollution are extremely important issues in todays. An innovative method in this study was used for visually discovering the relationship between pollutant gases by MapReduce. One

References

SHOWING 1-10 OF 25 REFERENCES
Data Mining QFD for The Dynamic Forecasting of Life Cycle under Green Supply Chain
T he satisfaction of customer requirements is critical issue for the computer designers and manufacturers, because computer design is a high risk and value-added technology. When considering green
Using data mining to identify customer needs in quality function deployment for software design
Software design is a high value-added technology, so the satisfaction of customer needs is critical issue for software company. The extraction of knowledge from large database has been successfully
A fuzzy optimization model for QFD planning process using analytic network approach
TLDR
An integrated framework based on fuzzy-QFD and a fuzzy optimization model is proposed to determine the product technical requirements (PTRs) to be considered in designing a product.
QUALITY FUNCTION DEPLOYMENT ANALYSIS BASED ON NEURAL NETWORK AND STATISTICAL RESULTS
QFD is a method of translating high-level objectives into concrete actions and metrics. It is one of the techniques that aims to fulfill the customers’ satisfaction at the very beginning, namely the
Applying QFD to improve the requirements and project management in small-scale project
University of Tampere Department of Computing Sciences Terhi Kivinen: Applying QFD to improve the requirements and project management in small-scale project Master's Thesis, 67 pages, 6 appendix
To Study and Analyze To Foresee Market Using Data Mining Technique
In every field there is huge growth and demand in knowledge and information over the internet. The automation using data mining and predictive technologies are doing an advance amount of deals in the
Data Mining Classification Techniques for Human Talent Forecasting
TLDR
HR data can provide a rich resource for knowledge discovery and for decision support system development and there are quite limited studies on human prediction.
Fuzzy multiple objective programming framework to prioritize design requirements in quality function deployment
  • E. Karsak
  • Engineering, Computer Science
    Comput. Ind. Eng.
  • 2004
TLDR
A fuzzy multiple objective programming approach is presented that incorporates imprecise and subjective information inherent in the QFD planning process to determine the level of fulfillment of design requirements.
An approach of electric power demand forecasting using data-mining method: a case study of application of data-mining technique to improve decision making
TLDR
The monthly electric demand prediction approach with dynamic and adaptive mechanism connected to the business environment is proposed with the aim of building the management plan of stable electric power supply and accomodation and shows considerably more accurate prediction than any other models with single variable time-series.
A systematic way of identifying and forecasting technological reverse salients using QFD, bibliometrics, and trend impact analysis: A carbon nanotube biosensor case
TLDR
This paper suggests a new and systematic method of identifying and forecasting reverse salients using QFD, bibliometric analysis, and TIA (trend impact analysis), which will help managers identify a top priority reverse salient, forecast its future, and thus make better R&D decisions with regard to market requirements.
...
1
2
3
...