Product Development with Quality Function Deployment (QFD) : A Literature Review

Ginting, Rosnani; Ishak, Aulia; Malik, Alfin Fauzi; Satrio, Muhammad Riski

doi:10.1088/1757-899x/1003/1/012022

Cited by 38 publications

(30 citation statements)

References 10 publications

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“…In this process the signals were all considered together. QFD [8] was developed as a total quality management (TQM) tool in the 1960s, used as a matrix to convert product attributes into engineering requirements. This has been modified for the knowledge elicitation application to capture the influence of process attributes on desired process outcomes and rank them in order of influence the purpose of defining features for a machine learning model.…”

Section: Methodsmentioning

confidence: 99%

A Transdisciplinary Approach to a Manufacturing Problem with a Machine Learning Solution

Wilson

Kinnell

Goh

et al. 2022

Advances in Transdisciplinary Engineering

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The application of machine learning to high cost, low volume (HCLV) manufacture is challenging due to prohibitive costs and low data volumes. An example HCLV application is linear friction welding (LFW) of Blisks (Bladed Disks). LFW is a solid-state joining process, typically used in high integrity aerospace applications. The successful application of machine learning (ML) has the potential to predict quality metrics and enable timely interventions to machine maintenance for avoidance of machine damage or deterioration. This paper proposes a methodology that combines expert knowledge with machine learning to minimise the quantity of weld data required to generate a robust and accurate ML model. Expert knowledge incorporation requires methods of elicitation, capture, standardisation and quantification of information (it can be qualitative, experiential and subjective) and conversion to a quantitative, data driven and digital format for input into a ML algorithm. This paper will describe the methodology developed to enable a combined data science and engineering approach to address complex manufacturing problems. If successful, this methodology will be used as a standard framework for application to HCLV manufacture.

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Section: Methodsmentioning

confidence: 99%

A Transdisciplinary Approach to a Manufacturing Problem with a Machine Learning Solution

Wilson

Kinnell

Goh

et al. 2022

Advances in Transdisciplinary Engineering

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“…The HoQ matrix is an implementation of the overall QFD analysis that shows a process and the relationship between attributes from the beginning of development to the final product that is appropriate and needed by consumers [8]. The following is the HoQ matrix for the development of ready-to-drink almond soy milk coffee.…”

Section: Hoqmentioning

confidence: 99%

Development of ready-to-drink almond milk coffee as a novel alternative of vegan food

Lydia,

Surya

2023

IOP Conf. Ser.: Earth Environ. Sci.

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Coffee is a popular drink among the productive young generation. In consuming coffee, consumers often add cow’s milk to reduce the bitter and sour taste that is too strong in coffee. The high use of milk from animal sources causes an increase in the livestock sector accompanied by land and water use and global warming. This study aims to develop a plant-based ready-to-drink almond soy milk coffee drink with a quantitative approach in the form of Kano Model, Quality Function Deployment, and sensory test in the form of hedonic test and simple ranking test. Based on the results of the study, it was concluded that milk coffee with the use of almonds is one of the most important attributes for consumers to produce creamy milk coffee, where formula 2 with a ratio of almond paste: isolated soy protein = 70:30 is the optimal formulation and meets the consumer acceptance.

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“…QFD tool is a quality house (Ginting, Ishak, Malik, & Satrio, 2020b). House quality is a graphic technique to explain the relationship between customer desires and products or services.…”

Section: Quality Function Deploymentmentioning

confidence: 99%

Growth Plan In Operational Design Management For Pt. Traffic Light Jaya

Kristanto

Marlitta

2022

JWS

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Traffic congestion is followed via way of means of more and more site visitors injuries. These are ruled via way of means of bike injuries, which additionally account for the very best part of fatalities and essential injuries. Careless riding and unruly conduct via way of means of drivers are the primary reasons of injuries in Indonesia. Penelitian ini bertujuan untuk a coordinated attempt which can also additionally alleviate a metropolis’s congestion is deemed necessary, specially in tackling busy and complicated intersections on the middle of the trouble to lessen losses. Research is carried out using qualitative research. It was concluded that The company must have good marketing and operational strategies to get more customers and maintain the business in order to keep it disrupting the times. The future challenge is very challenging for this business to set up a new strategy to meet market demands and globally transform. With the presence of a 24-hour hotline to receive customer complaints I feel is one form of responsibility from the company. Building a laboratory seems to be needed in the near future given the many demands in the three cities as a preliminary experiment. It is hoped that with good management operations, this business can dominate and be irreplaceable, given the purpose of establishing this company is to be a solution to the bottleneck and effectiveness of the government budget

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Product Development with Quality Function Deployment (QFD) : A Literature Review

Cited by 38 publications

References 10 publications

A Transdisciplinary Approach to a Manufacturing Problem with a Machine Learning Solution

A Transdisciplinary Approach to a Manufacturing Problem with a Machine Learning Solution

Development of ready-to-drink almond milk coffee as a novel alternative of vegan food

Growth Plan In Operational Design Management For Pt. Traffic Light Jaya

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