A computer-aided approach improving the Axiomatic Design theory with the distributed design resource environment

Author(s):  
Bin Chen ◽  
Jie Hu ◽  
Jin Qi ◽  
Weixing Chen

AbstractIn the traditional Axiomatic Design (AD) theory, the mapping from the functional domain to the physical domain is based on the designers’ own knowledge and experience, and there is no systematical approach including the design resources provided outside the designers themselves’ access. Thus, the raw materials for the design process are largely limited, which means they can hardly support the designers’ increasingly creative and innovative conceptions. To help AD theory better support the design process, this paper proposes a computer-aided approach for the mapping from the functional domain to the physical domain within a distributed design resource environment, which consists of numerous design resources offered on the Internet by the providers widely distributed in different locations, institutes, and disciplines. To prove the feasibility of this proposed approach, a software prototype is established, and a natural leisure hotel is designed as an implementation case.

Author(s):  
Mats Nordlund ◽  
Taesik Lee ◽  
Sang-Gook Kim

In 1977, Nam P Suh proposed a different approach to design research. Suh’s approach was different in that it introduced the notions of domains and layers in a 2-D design thinking and stipulated a set of axioms that describes what is a good design. Following Suh’s 2-D reasoning structure in a zigzagging manner and applying these axioms through the design process should enable the designer to arrive at a good design. In this paper, we present our own experiences in applying Suh’s theories to software design, product design, organizational design, process design, and more in both academic and industrial settings. We also share our experience from teaching the Axiomatic Design theory to students at universities and engineers in industry, and draw conclusions on how best to teach and use this approach, and what results one can expect. The merits of the design axioms are discussed based on the practical experiences that the authors have had in their application. The process developed around the axioms to derive maximum value (solution neutral environment, design domains, what-how relationship, zig-zag process, decomposition, and design matrices) is also discussed and some updates are proposed.


2015 ◽  
Vol 131 ◽  
pp. 1050-1063 ◽  
Author(s):  
Manabu Sawaguchi ◽  
Shintaro Ishikawa ◽  
Heikan Izumi

2018 ◽  
Vol 223 ◽  
pp. 01006 ◽  
Author(s):  
Kate Kujawa ◽  
Jakob Weber ◽  
Erik Puik ◽  
Kristin Paetzold

Automotive production is faced with the challenge of bringing new products to market faster, with decreasing turn-around times, meaning production must be continually changing to accommodate new products. This paper proposes an approach to decrease a product’s time-to-market, by increasing the efficiency of automotive assembly unit design. Providing designers with conceptual information about future vehicle models early in the product design process, could shift the design start forward and enable a more efficient transition process. Large automotive companies work on vehicle design and development for years before a product is ready for production. If during these earlier stages of product design, significant changes are identified and communicated to production designers, the manufacturing system design can get a jump start with an early exploration phase. A method exists, which uses the Axiomatic Design theory to develop Reconfigurable Manufacturing Systems through a modular breakdown. A similar method Adapt! employs Axiomatic Design and Scrum to develop changeable or adaptable production systems. This paper proposes to extend the Adapt! method to include an exploration phase, which through early communication, provides an overview of the required design process, and enables faster identification of the critical design challenges. A case study is performed by analysing a currently produced vehicle and its future electric version.


2013 ◽  
Vol 312 ◽  
pp. 796-799
Author(s):  
Xiang Dong Shi ◽  
Yan Li ◽  
Hao Dong Li

In this paper, the basic theory of Axiomatic Design is introduced at first. Then the design process of the platen die-cutting mechanism is analyzed based on the basic concept and design process of axiomatic design. The functional requirements of the die-cutting mechanism, and the mapping and decomposition processes between designing parameters were presented. This provides the scientific basis for evaluating the rationality of the mechanism design, and plays a guiding role on design.


Author(s):  
H. L. Johannesson

Abstract Creating product structure models is an important task in design, as different such models are needed during the product design process. Depending on what theoretical model or methodology for product design that is used during the process, structure models of different kinds are developed. In structural axiomatic design, functional requirement structure models and physical solution structure models are essential. These are hierarchial tree structure models which are developed during the process by zigzagging between the functional domain and the physical solution domain from the highest to the lowest hierarchical structure level. While doing this, functional couplings, making it harder to fulfill a certain functional requirement without affecting others, are built into the structure. The theory of axiomatic design provides tools to identify such couplings. In this work, the so called design equation in the axiomatic design theory, has been given a graphical interpretation. This has made it possible to use a computer based structure modeling tool, with a graphic user interface, to directly identify and analyze functional couplings in the structure model on the graphical screen.


Author(s):  
Prakash C. R. J. Naidu ◽  
Kshirsagar C. J. Naidu

This paper introduces a new approach named Design for Patentability (DFP) and presents the preliminary formulation of a formal methodology to attempt consideration of patentability aspects during the early stages of design including conceptual design and initial implementation of detailed design and manufacturing. Design for Automation (DFAM) approach formulated earlier by the first author based on Axiomatic Design Theory originated by Suh et. al. at MIT is adapted, suitably modified and customized for inclusion of patentability aspects such as anticipation, functionality, utility, and obviousness. Highlighting the complexity in incorporation of legal aspects in an engineering methodology, the paper presents the possibilities of improving the patentability of a design by a systematic and considered approach. The proposed methodology introduces a Patentability Evaluation phase in-between the Product Design, Process Design and Automation System Design phases of DFAM. The paper reviews mapping of parameters between different domains, namely, Functional Requirements Domain, Design Parameters Domain, Process Requirements Domain, and Design Automation Parameters Domain encompassed in the DFAM methodology and includes Patentability Parameters Domain in parallel to the last three domains to enable possible consideration of patentability aspects during Product Design, Process Design, and Automation System Design. Further, the paper briefly discusses the relevance of the Information Axiom of the Axiomatic Design Theory in the context of preparation of preliminary drafts of invention disclosure and potential claims for perusal by patent agents or attorneys. The approach reported in the paper is expected to have broad applications in the growing field of innovation based entrepreneurship in which design for patentability is an essential requirement for success of a business venture.


2015 ◽  
Vol 32 (1) ◽  
pp. 3-17
Author(s):  
Naresh K. Sharma ◽  
Elizabeth A. Cudney

Purpose – Complexity is an important element in axiomatic design theory. The current method for calculating complexity for a system following normal distribution is unbounded and approximate. The purpose of this paper is to present a detailed bounded solution for complexity using design and system ranges on a single function requirement. Design/methodology/approach – This paper discusses the complexity measure for a system following a uniform distribution. The complexities of two types of systems, a system performing with a uniform distribution and a system performing on target according to a normal distribution are then considered and compared. The research proposes a complexity measure for a system performing within specification limits with a uniform distribution. In addition, a new concept of relative complexity is proposed. Findings – A bounded solution for complexity for a normal distribution based on the existing assumptions was given which includes bias in addition to variance. The bounded solution was then compared to the existing approximate solution from the variance as well as bias standpoint. It was found that bias has an inappropriately reverse relationship with the bounded solution of complexity. Therefore, complexity cannot be used to approximate the system improvement when the improvement is based on a reduction in bias. Originality/value – The current method for calculating complexity for a system following normal distribution is unbounded and approximate. This paper proposed a complexity measure for a system performing within specification limits with a uniform distribution.


Author(s):  
Johan Vallhagen

Abstract In earlier work, the axiomatic design theory has been analyzed for applications on product design and the production processes that pertain to it, where parts manufacture and assembly take place in flexible and automatic manufacturing systems. The conclusion is that the original model cannot handle the manufacturing aspects in a satisfactory manner. This report proposes an expansion of the axiomatic design model, with a life-cycle approach as take-off. The expansion of the model consists of the introduction of a so-called Manufacturing World with different spaces, where various types of processes and support functions can be developed in agreement with the axiomatic principles. The spaces and their relationships have been defined along with explanations of work procedures. An explanatory example is given.


Sign in / Sign up

Export Citation Format

Share Document