QFD and CE as Methodologies for a Quality Assurance in Product Development

2005 ◽  
Author(s):  
Jose´ Ricardo Alcantara ◽  
Kazuo Hatakeyama
Keyword(s):  
Product Development ◽  
Quality Function Deployment ◽  
Local Market ◽  
Manufacturing Companies ◽  
Support Tool ◽  
Diffusion Of Knowledge ◽  
Innovation And Technology ◽  
Data Collection Technique ◽  
Local Companies ◽  
Selection Of

Quality Function Deployment — QFD combined with Concurrent Engineering — CE as a support tool for the competitive strategy on product development is devised. In this study, beyond the proposed method, it is intended to develop relations with innovational models, arrangements of innovation and technology transfer, learning in organizations, and how the diffusion of knowledge occurs. QFD can also be one those main tools of CE as this identifies the customer’s main requirements translating into the features required for products. The field survey of exploratory and descriptive type, using the questionnaire as data collection technique, was carried out in the manufacturing companies in the fast growing sectors of automobile industries in the State of Parana located in the Southern of Brazil. The selection of sample companies was made intentionally to guarantee of return of answer through the accessibility criteria. The reasons for this fact that can be pointed out are: the use of “home made” methodology to fulfill customer’s requirements, unknowing of the methodology, and the lack of adequate training to use QFD. It is expected that the results of findings, if disseminated adequately among local companies, will help to enhance the competitiveness performance beyond the local market scenario.

Application of Quality Function Deployment for New Business R&D Strategy Development

2005 ◽  
Author(s):  
Kosuke Ashihara ◽  
Kosuke Ishii
Keyword(s):  
Decision Making ◽  
Product Development ◽  
Quality Function Deployment ◽  
New Technology ◽  
Radical Innovation ◽  
Incremental Innovation ◽  
Strategy Development ◽  
Future Market ◽  
Manufacturing Companies ◽  
Quality Function

This paper describes a decision-making framework for Research and Development (R&D) strategy development using an adaptation of quality function deployment (QFD). Many manufacturing companies are facing challenges in strengthening their competitiveness to survive in an uncertain and fierce competitive businesses environment. Decision-making on R&D strategy, not only for incremental innovation, but also for radical innovation, is essential for the sustainable future of the company. There are well-structured methodologies for routine product development tasks that help planning and decision-making. QFD is one of the most well known tools for product development that uses matrices to identify relative worth of product requirements from market information and flow the requirements down to more detailed decisions. However, in the R&D strategic planning process that occurs prior to product development, there is little work utilizing structured methodologies such as QFD. This paper presents a new usage of QFD in the R&D strategy development process to cover both incremental and radical innovation. Market-pull R&D leads to incremental innovation of the company, and QFD helps identify new technology requirements using future market predictions. On the other hand, technology-push R&D seeks radical innovation; an inverse usage of QFD that defines new customer needs from new technology development can support a step-by-step approach for future business creation in this context. The paper includes a detailed example from the medical device industry that demonstrates the utility of the method in R&D strategy decision process.

The journey towards sustainable product development: why are some manufacturing companies better than others at product innovation?

Technovation ◽  
2021 ◽  
pp. 102239
Author(s):  
Julio Cesar Ferro de Guimarães ◽  
Eliana Andréa Severo ◽  
Charbel Jose Chiappetta Jabbour ◽  
Ana Beatriz Lopes de Sousa Jabbour ◽  
Ariane Ferreira Porto Rosa
Keyword(s):  
Product Development ◽  
Product Innovation ◽  
Manufacturing Companies ◽  
Sustainable Product Development ◽  
Sustainable Product ◽  
Better Than

Pengaruh Ukuran Perusahaan, Leverage, Kebijakan Dividen dan Profitabilitas terhadap Nilai Perusahaan Studi pada Perusahaan Manufaktur Sektor Food And Beverages

2021 ◽  
Vol 4 (3) ◽  
pp. 626-640
Author(s):  
Nur Anisa ◽  
Sri Hermuningsih ◽  
Alfiatul Maulida
Keyword(s):  
Firm Size ◽  
Firm Value ◽  
Quantitative Research ◽  
Sampling Method ◽  
Dividend Policy ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Manufacturing Companies ◽  
Food And Beverages ◽  
Selection Of

This study aims to examine the effect of firm size, leverage, dividend policy and profitability on firm value in the study of manufacturing companies in the food and beverages sector. This research uses quantitative research. The technique used in sampling is the purposive sampling method, namely the selection of samples is carried out with predetermined criteria. So that as many as 35 data were obtained from 7 food and beverages companies listed on the IDX during the 2016-2020 period. The data analysis method used is multiple linear regression analysis using the SPSS version 23 program. Based on the results of the study, it shows that: (1) firm size has no effect on firm value, (2) leverage has a negative and significant effect on firm value, (3) dividend policy has no effect on firm value, (4) profitability has a positive and significant effect on firm value. Keywords: firm size, leverage, dividend policy and profitability.

Sustainable circular supplier selection and evaluation in the manufacturing sector using Pythagorean fuzzy EDAS approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chang Liu ◽  
Pratibha Rani ◽  
Khushboo Pachori
Keyword(s):  
Decision Making ◽  
Human Behavior ◽  
Circular Economy ◽  
Supplier Selection ◽  
Manufacturing Sector ◽  
Uncertain Information ◽  
Manufacturing Companies ◽  
Content Type ◽  
Sustainable Supplier Selection ◽  
Selection Of

PurposeDue to stern management policies and increased community attentiveness, sustainable supply chain management (SSCM) performs a vast component in endeavor operation and production management. Sustainable circular supplier selection (SCSS) and evaluation presented the environmental and social concerns in the fields of circular economy and sustainable supplier selection. Choosing the optimal SCSS is vital for organizations to persuade SSCM, as specified in various researches. Based on the subjectivity of human behavior, the selection of ideal SCSS often involves uncertain information, and the Pythagorean fuzzy sets (PFSs) have a huge capability to tackle strong vagueness, uncertainty and inaccuracy in the multi-criteria decision-making (MCDM) procedure. Here, a framework is developed to assess and establish suitable suppliers in the SSCM and the circular economy.Design/methodology/approachThis paper introduced an extended framework using the evaluation based on distance from average solution (EDAS) with PFSs and implemented it to solve the SCSS in the manufacturing sector. Firstly, the PFSs to handle the uncertain information of decision experts (DEs) is employed. Secondly, a novel divergence measure and parametric score function for calculating the criteria weights are proposed. Thirdly, an extended decision-making approach, known as PF-EDAS, is introduced.FindingsThe outcomes and comparative discussion show that the developed method is efficient and capable of facilitating the DEs to choose desirable SCSS. Therefore, the proposed framework can be used by organizations to assess and establish suitable suppliers in the SCSS process in the circular economy.Originality/valueSelecting the optimal sustainable circular supplier (SCS) in the manufacturing sector is important for organizations to persuade SSCM, as specified in various research. However, corresponding to the subjectivity of human behavior, the selection of the best SCS often involves uncertain information, and the PFSs have a huge capability to tackle strong vagueness, uncertainty and inaccuracy in the MCDM procedure. Hence, manufacturing companies' administrators can implement the developed method to assess and establish suitable suppliers in the SCSS process in the circular economy.

Assessing the Risks and Success Factors of Telehealth Development Projects in an Academic Setting

2022 ◽  
Vol 2 (1) ◽  
pp. 0-0
Keyword(s):  
Decision Support ◽  
Quality Function Deployment ◽  
Success Factors ◽  
Critical Role ◽  
Decision Support Tool ◽  
Development Projects ◽  
Early Assessment ◽  
Academic Setting ◽  
Support Tool ◽  
Project Risks

The development of a telehealth technology in an academic setting is a complex project that faces several obstacles. The early assessment of the project risks plays a critical role in the translation of promising telehealth innovations into healthcare practice. This paper presents a decision support tool based on Failure Mode and Effects Analysis (FMEA) and Quality Function Deployment (QFD) techniques to associate the project risks to relevant success factors. Certain modifications in both techniques are applied to deploy them for project risk assessment. The project risks and success factors used in the tool are identified from the literature. The proposed decision support tool enables researchers to manage the risks in their telehealth development projects and identify action items to overcome such risks. The application of the proposed tool is illustrated with a telehealth development project for virtual physical therapy.

Agile Montage*/Agile assembly – Assembly planning and assembly system as integral elements of factory planning

2019 ◽  
Vol 109 (09) ◽  
pp. 622-627
Author(s):  
P. Burggräf ◽  
M. Dannapfel ◽  
T. Adlon ◽  
A. Riegauf ◽  
K. Müller ◽  
...  
Keyword(s):  
Product Development ◽  
Assembly Planning ◽  
Assembly System ◽  
Agile Methods ◽  
Assembly Systems ◽  
Manufacturing Companies ◽  
Economic Optimization ◽  
Customer Needs ◽  
Factory Planning ◽  
Solution Approach

Produzierende Unternehmen intensivieren aufgrund zunehmend volatiler Kundenbedürfnisse die Anwendung agiler Produktentwicklungsansätze. Ziel des Beitrags ist die Einführung eines Konzepts zur Befähigung dieser dynamischen Produktentwicklung in der Montage. Der integrative Lösungsansatz basiert auf der wirtschaftlichen Optimierung des Agilitätsgrades von Montagesystemen sowie dem selektiven Einsatz agiler Methoden in der traditionell plangetriebenen Montageplanung als Teil der Fabrikplanung.   To meet more volatile customer needs, manufacturing companies increasingly make use of agile product development approaches. This article aims to introduce a concept to enable for dynamic product development in assembly. This integrative solution approach is based on the economic optimization of the degree of agility of assembly systems and on the selective use of agile methods in traditional, plan-driven assembly planning as part of factory planning.

Sign in / Sign up

Export Citation Format

Share Document