OPERATION EXCELLENCE: Journal of Applied Industrial Engineering
Vol 11, No 2, (2019): OE Juli 2019

Pendekatan metode Quality Function Deployment sebagai usulan peningkatan kualitas produk keramik dinding

Gina Ramayanti (Universitas Serang Raya)
Ahmad Nalhadi (Universitas Serang Raya)
Rio Pujianto (Universitas Serang Raya)



Article Info

Publish Date
27 Jul 2019

Abstract

PT. Arwana Nuansa Keramik is one of local tile manufacturer that produce both floor and wall tile products. Based on selling and customer complaint data in 2017 until 2018, there a lot of complaint for wall tile products and didn’t past the selling target each year. So, the aim of this study is to identified customer needs and wants in order to improve the quality of wall tile product PT. Arwana Nuansa Keramik that suit to customer needs with the result that the product can be compete with other competitor. This study using quality function deployment method until quality procedure phase. Quality Function Deployment is a method that concern in increasing the quality of a certain product based on customer needs and wants (Voice of Customer). By customer point of view, a quality is something that must have by the product, for wall tile in particular therefore it used for long life time. Identification of customer needs be obtained by distribute a questionneire to 50 respondents that recognized as a distributor of wall tile PT. Arwana Nuansa Keramik from Gorda until Tambak Area. Result of this study is a matrix that known as House of Quality matrix and contain several characteristics that can be used by PT. Arwana to improve the quality of their wall tile product. The Characteristics that shown by the matrix are strong products, ceramic products that have high quality and use advanced technology.

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Journal Info

Abbrev

oe

Publisher

Subject

Decision Sciences, Operations Research & Management

Description

The aim of Operations Excellence: Journal of Applied Industrial Engineering (OE Journal) is to publish theoretical and empirical articles that are aimed to contrast and extend existing theories, and build new theories that contribute to advance our understanding of phenomena related with industrial ...