scholarly journals An Environmental and Operational Analysis of Quality Function Deployment-Based Methods

2020 ◽  
Vol 12 (8) ◽  
pp. 3486 ◽  
Author(s):  
Fabio Neves Puglieri ◽  
Aldo Roberto Ometto ◽  
Rodrigo Salvador ◽  
Murillo Vetroni Barros ◽  
Cassiano Moro Piekarski ◽  
...  
Keyword(s):  
Product Development ◽  
Quality Function Deployment ◽  
Development Process ◽  
Environmental Science ◽  
Product Development Process ◽  
Quality Function ◽  
Design Engineers ◽  
Automotive Company ◽  
Life Cycle Perspective ◽  
Operational Criteria

Ecodesign consists of integrating environmental considerations into the product development process by means of practices that involve the use of methods, techniques, tools, and guidelines. However, many published practices do not incorporate important environmental issues, often resulting in a product development process that is ineffective from an ecodesign standpoint. This paper’s aim is threefold: (i) Identifying environmental and operational criteria and determining weights to these criteria; (ii) assessing and selecting quality function deployment (QFD)-based ecodesign methods using environmental and operational criteria, and (iii) analyzing the practitioners’ perception of the most suitable QFD-based method identified by the second aim. To that end, a comprehensive literature review of ecodesign practices based on QFD and its requirements was carried out, and a survey was conducted with environmental science and product development experts, whose answers enabled the prioritization of the characteristics those practices must meet from environmental and operational standpoints. Thereafter, a workshop was carried out with design engineers from an automotive company in Brazil. This study’s findings indicate that many QFD-based ecodesign methods fail to consider the life cycle perspective, do not assess environmental impacts, and have not been tested before being published. Another finding from industry designers suggests that ecodesign methods should be easy to use and not time-consuming.

scholarly journals Fuzzy Quality Function Deployment: An Analytical Literature Review

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Mohammad Abdolshah ◽  
Mohsen Moradi
Keyword(s):  
Literature Review ◽  
Product Development ◽  
Quality Function Deployment ◽  
Quantitative Methods ◽  
Phase 1 ◽  
Multicriteria Decision Making ◽  
Product Development Process ◽  
Quality Function ◽  
Metaheuristic Methods ◽  
Fuzzy Quality Function Deployment

This paper presents an analytical literature review on fuzzy quality function deployment (FQFD) of papers published between 2000 and 2011. In this review, publications were divided into two main groups. First group included publications which proposed some models to develop FQFD. The second one was related to new applications of FQFD models. Next, publications were analyzed and research gaps and future directions were presented. We reached some conclusions including the following. (i) Most of studies were focused on quantitative methods to accomplish phase 1 of QFD or House of Quality (HoQ). The most employed techniques were multicriteria decision making (MCDM) methods. (ii) Although main purpose of using QFD was product development, other factors such as risk and competiveness analysis should be considered in product development process. (iii) A promising approach is using of metaheuristic methods for solving complicated problems of FQFD. (iv) There are a few studies on completing all phases of FQFD.

Enhancing Design Education With Practical Knowledge Needed in Industry

1996 ◽  
Author(s):  
Will Pattison
Keyword(s):  
Product Development ◽  
Design Education ◽  
Design Methodology ◽  
Development Process ◽  
New Technologies ◽  
Practical Knowledge ◽  
Product Development Process ◽  
Manufacturing Processes ◽  
Design Intent ◽  
Design Engineers

Abstract Education in design has become a major priority in modern mechanical engineering curriculums. In particular, design education has focused on using good design methodology to produce optimum solutions, promote innovation, and encourage creativity in the engineer. There are other facets of the design engineer’s position that should also be emphasized at the education level. First, design engineers must be aware of the manufacturing processes that will be used to turn their concepts into working solutions. Second, they must understand how prototypes of those solutions fit into the overall product development process, and how new technologies such as Rapid Prototyping can enhance it. Finally, they must be able to effectively communicate their design intent, both graphically, verbally, and in writing, at all stages of the product development process. These three essential engineering skills, with special emphasis given to the last two and their place in design education, are covered in this paper.

Design Process Error-Proofing: Development of Automated Error-Proofing Information Systems

2003 ◽  
Author(s):  
Lawrence P. Chao ◽  
Kosuke Ishii
Keyword(s):  
Information Systems ◽  
Product Development ◽  
Information Management ◽  
Design Process ◽  
Quality Function Deployment ◽  
Development Process ◽  
Product Development Process ◽  
Process Error ◽  
Engineering Information ◽  
Error Proofing

This paper presents a framework for representing and deploying error-proofs (poka-yoke) in the product development process. Information technology (IT) already plays a key role in product development through tools such as numerical computation, CAD, simulations, and process planning. Information management for error-proofing in manufacturing is also quite common in many industries. However, experts agree that many field failures and quality problems stem back to errors in engineering design. While there are many case studies on design process error-proofing, one must deploy them through leveraging engineering information systems for them to be effective. Towards this goal, this paper proposes the use of quality function deployment (QFD) to characterize potential design errors, evaluate the risks, identify effective error proofing elements, and prioritize their implementation.

Consideration of Social Impacts During the Early Stages of Product Development for Sustainable Design

2020 ◽  
Author(s):  
Hong Jia ◽  
Christopher A. Mattson ◽  
Gabrielle Johnson
Keyword(s):  
Product Development ◽  
Social Impact ◽  
Development Process ◽  
Social Dimension ◽  
Product Development Process ◽  
Design Parameters ◽  
Sustainable Solutions ◽  
Early Stages ◽  
Design Engineers ◽  
The Social

Abstract Besides the explicit economic and environmental impacts, the product development process also produces an implicit social value — known as social impact. To help product designers better understand and plan for the social impact that their product may have, we present a social impact checklist table. This checklist table was constructed after a simple study was conducted on the design and reuse of corrugated cardboard. The checklist table provides the designer the opportunity to more deeply consider eleven social impact categories, map those categories to key indicators, and ultimately design parameters that influence social impact. We introduce this checklist table at the early stages of the product development process, aiming to make the otherwise implicit notion of social impact more explicit and recognizable. The checklist table has the potential to make the social dimension of sustainability more accessible to design engineers; they can then better conceive of sustainable solutions and create products that generate positive social impact.

The Changing Role of FEA in the Product Development Process

2004 ◽  
Author(s):  
Suchit Jain
Keyword(s):  
Product Development ◽  
Conceptual Design ◽  
Consumer Goods ◽  
Development Process ◽  
Cost Savings ◽  
Product Development Process ◽  
Design Engineers ◽  
Quick Turnaround ◽  
Changing Role

In recent years, the benefits of using FEA or design analysis as part of conceptual design have become apparent. The direct involvement of design engineers in analyzing their own designs allows for quick turnaround times and ensures that design modifications indicated by analysis results are promptly implemented in the design progress. Used properly, it yields trustworthy results that are already driving efficiencies and cost savings in industries ranging from consumer goods to automotive. This paper will outline the advances in technology which have made this change possible.

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