scholarly journals Development of a Data Mining Driven Forecasting Software Tool for Quality Function Deployment

Helix ◽  
2018 ◽  
Vol 8 (5) ◽  
pp. 3993-3997
Author(s):  
Shivani K Purohit
Author(s):  
Shivani K. Purohit ◽  
Ashish K. Sharma

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 evaluate a suitable one for more effective results. To this end, the paper presents a novel software tool to efficiently forecast CRs in QFD. The tool allows for forecasting using various data mining based time series analysis techniques that strongly assists in doing comparative analysis and evaluating out the most apt technique for forecasting of CRs. The tool is developed using VB.Net and MS-Access. Finally, an example is presented to demonstrate the practicability of proposed software tool.


2017 ◽  
Vol 4 (1) ◽  
pp. 56-86 ◽  
Author(s):  
Shivani K. Purohit ◽  
Ashish K. Sharma

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 evaluate a suitable one for more effective results. To this end, the paper presents a novel software tool to efficiently forecast CRs in QFD. The tool allows for forecasting using various data mining based time series analysis techniques that strongly assists in doing comparative analysis and evaluating out the most apt technique for forecasting of CRs. The tool is developed using VB.Net and MS-Access. Finally, an example is presented to demonstrate the practicability of proposed software tool.


2019 ◽  
Vol 3 (2) ◽  
pp. 60
Author(s):  
Chistofora Desi Kusmindari

Permasalahan dalam penelitian ini adalah bagaimanakah peningkatan kualitas layanan konsumen CV. Sinar Jaya Agung dengan metode servqual dan quality function deployment dengan tujuan untuk mengetahui persepsi konsumen dengan metode servqual, untuk menentukan nilai gap servqual antara persepsi dan harapan konsumen, dan untuk meningkatkan kualitas layanan sesuai dengan kebutuhan dan keinginan konsumen dengan menggunakan metode quality function deployment. Hasil penelitian ini menunjukkan bahwa semakin tinggi nilai customer satisfaction performancemaka semakin tinggi pula tingkat persepsi konsumen terhadap atribut oleh responden, nilai gap servqual diperoleh nilai tertinggi sebesar 0,35 pada atribut karyawan memiliki kompetensi dan profesional dalam melayani pelanggan. Dengan demikian dapat diartikan bahwa kualitas layanan konsumen yang diberikan sudah bisa dikatakan baik. Hasil pengujian quality function deployment menunjukkan bahwa untuk meningkatkan kualitas layanan sesuai dengan kebutuhan dan keinginan konsumen, maka perusahaan harus melakukan beberapa perbaikan, antara lain: lokasi perusahaan harus mudah dijangkau oleh konsumen, penyediaan checklist pembersihan, pemberian pelatihan rutin kepada karyawan, serta service yang baik dari karyawan pada konsumen.


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