scholarly journals Application of Axiomatic Design for Agile Product Development

2018 ◽  
Vol 223 ◽  
pp. 01004 ◽  
Author(s):  
Erik Puik ◽  
Dareks Ceglarek

Agile, and iterative, development methods for new product development are gaining in popularity under product engineers; where it initially was just applied for software development, now larger adoption takes place for product development in general. The design rules of agile development are somewhat conflicting with the guidelines of Axiomatic Design. In this paper, it is investigated why this is the case, what can be done about it, and how can the strengths of agile development be combined with Axiomatic Design to optimise methods for product design. It is shown that the methods are indeed advising on different and conflicting strategies, however, by attenuating the agile design rules in the early stage of design, and doing the same for AD in the later stage of design, best of both worlds can be combined.

Author(s):  
Amir Mirzadeh Phirouzabadi

Nowadays,improving the quality of products, reducing cost and meeting customer’srequirements are necessary to shorten the time of new product development(NPD). NPD is used to describe the complete process of bringing a new product to market and conceptual design process(CDP) is at its early stage and has mostly changed from passive respond toaggressive one. Thus, this study proposed a practical method for CDP in NPDthrough three phases as Converting customers’ requirements to product specifications,Generating and selecting of concepts and Testing and finalizing the concepts byusing some different management-engineering techniques. Firstly, this papertried to prioritize customer’s requirements related to product by AHP (AnalyticHierarchy Process) and convert them to engineering parameters of TRIZ (Theoryof Inventive Problem Solving) in order to define the inventive principals.Next, based on QFD (Quality Function Deployment), we measured the weight valuesof inventive principals. Finally, as FMEA (Failure Mode and Effect Analysis)can analyze the weight values and reduce the sequential risk, then finalconceptual design was generated. At the end, a medical glasses was used as acase study of innovative design to validate the method and explain how thestrategies of this research for CDP.


2019 ◽  
Vol 301 ◽  
pp. 00015
Author(s):  
Wenguang Lin ◽  
Renbin Xiao ◽  
Rongshen Lai ◽  
Xiaozhen Guo

Axiomatic design theory is widely used in new product development by providing design solutions through mapping between functional requirements and design parameters. However, the theory does not provide a method to help designer obtain and select design parameters. To this end, this paper introduces patent analysis to overcome the deficiency. Firstly, functional requirements are transformed into patent search terms, and design parameters are obtained from patents. Secondly, morphological matrix is used to represent the relationships between target function and multiple design parameters. Thirdly, design parameters with higher patent frequency are chose and combined into a new scheme. Finally, the scheme is evaluated by the independent axiom of Axiomatic Design theory. The methodology is demonstrated and validated with a case study of spa shower.


Author(s):  
Tucker J. Marion ◽  
Timothy W. Simpson

Disciplined product development has been a hallmark of mature companies for many decades, resulting in shorter development cycles, reduced costs, and higher quality products. Unfortunately, these tools and processes have typically been applied in large, well-established firms, not start-up companies. In this paper, we describe a simplified new product development process for early-stage firms and its application to a consumer product in which the process was executed during a 14-month development cycle. The process consists of 15-steps in 3-phases, two decision gates, and provides a step-by-step guide for development, with specific call-outs as to what, when, and where tools such as market segmentation, platform planning, industrial design, and cost modeling should be applied. The proposed process is applied to design a new consumer product, and the case study results are discussed with specific emphasis on costs, duration, and applicability of the process and its related engineering tools. Finally, we conclude with comments on the limitations of the proposed process, potential improvements, and future work.


Author(s):  
Christer W. Elverum ◽  
Torgeir Welo ◽  
Martin Steinert

The fuzzy front end (FFE) of new product development (NPD) is a term that refers to the early stages of the innovation process. This paper investigates the FFE in the automotive industry and addresses the challenges of working in this phase of the innovation process, as well as the academic definition of the FFE relative to the real world. Two parts of the innovation process have been identified and characterized as FFE: the concept-work within satellite front-end departments and the work within the pre-development phase of the vehicle new product development process. It has been identified that one of the greatest challenges related to working in the FFE is developing viable concepts that will “sell” internally. Estimating and conveying the overall value of the final product in terms of costs and customer benefits are two of the key elements that make it difficult to achieve internal “buy in”. Furthermore, it is argued that the most common academic perception of the FFE seem to be inadequate since it only concerns work that ends with a go/no-go decision whether to continue into development or not. Consequently, it fails to capture early-stage development work of transformational innovations, where the decision of development has already been made and the uncertainty is related to the execution of the work — and — not the outcome. Semi-structured interviews with a total of eleven employees at seven different automotive OEMs form the basis for the conclusions made herein.


2021 ◽  
pp. 1-13
Author(s):  
Zhe Chen ◽  
Peisi Zhong ◽  
Mei Liu ◽  
Hongyuan Sun ◽  
Kai Shang

This work aims to help the designers to make decisions in the early stage of new product development. Design concept evaluation is very critical in design process, it may affect the later stages. However, facing to uncertain circumstance, mostly, the raw data in early stage are subjective and imprecise. This work proposes a novel approach to solve this problem. The whole work is based on rough numbers, Shannon entropy, technique for order performance by similarity to ideal solution method and preference selection index method. Firstly, rough numbers and Shannon entropy are integrated to determine the weight of evaluation criteria based on their interrelationships. After that, a novel technique for order performance by similarity to ideal solution method improved by rough numbers and preference selection index method is proposed to evaluate and rank the alternatives. Then, a comparative case is carried out with proposed method and two other methods in this study. The comparation of evaluation processes indicates that the proposed method’s advantage. Compared the other methods, proposed approach is objective, simple and do not need additional input. The results of three methods are similar. It means that the proposed method is not only effective and efficient in design concept evaluation, but also can save time and cost in the early stage of new product development.


Sign in / Sign up

Export Citation Format

Share Document