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Custom and Functional Requirements
Published in Jose Martin Herrera Ramirez, Luis Adrian Zuñiga Aviles, Designing Small Weapons, 2022
Jose Martin Herrera Ramirez, Luis Adrian Zuñiga Aviles
The axiomatic design includes two axioms: the independence axiom and the information axiom. The independence axiom analyzes the effects of the relationships FR among DP, as presented in Equation 2.1 of Chapter 2. During the relationships, collateral effects appear, which result in three types of the design matrix. The first matrix is referred to as coupled design when the design matrix is completely filled with collateral effects. The second matrix is referred to as decoupled design when the design matrix is semi-filled with collateral effects. The third matrix is the ideal matrix, which is referred to as uncoupled design, meaning that the collateral effects are null or almost null and each DP accomplishes every FR. It should be noted that although the uncoupled design is ideal, most designs in a real environment reach the decoupled design after refining the design. Usually, the first DP results in a coupled design and, once the design parameters are refined or replanned, the design matrix represents a decoupled or uncoupled design. Overall, the design is disguised because the coupled design is a poor design, decoupled design is a good design, and uncoupled design is the better design [15]. Figure 3.8 shows the kinds of design matrices according to collateral effects.
Hardware Development Methods and Tools
Published in Paul H. King, Richard C. Fries, Arthur T. Johnson, Design of Biomedical Devices and Systems, 2018
Paul H. King, Richard C. Fries, Arthur T. Johnson
The axiomatic design method provides the process as the means to define physical and process structures. The design is first identified in terms of its FRs and then progressively detailed in terms of its lower level FRs and DPs. Hierarchy is built by the decomposing design into a number of FRs and DPs. The principles that are used as guidance are as follows: Principle of independence—Maintain the independence of the FRsPrinciple of information—Minimize the information content in a design: reduce complexity
Building Data and Process Strategy and Metrics Management
Published in Rajesh Jugulum, Robust Quality, 2018
The concept of axiomatic design helps to us move from one domain to another (e.g., from the customer domain to the physical domain) so that we can decompose the requirements to the lower levels in a systematic fashion by creating FR and DP hierarchies.
A new method for quality function deployment using double hierarchy hesitant fuzzy linguistic term sets and axiomatic design approach
Published in Quality Engineering, 2021
Ze-Ling Wang, Hu-Chen Liu, Jin-Ye Xu, Ye-Jia Ping
On the other hand, determining the importance priority of ECs is a crucial step in the QFD analysis. A lot of decision-making methods have been employed in preceding QFD studies to derive the EC prioritization (Haktanır and Kahraman 2019; Ping et al. 2020; Wang, Fang, and Song 2020a). Based on information theory, the axiomatic design approach was proposed by Suh (1998) for solving multifaceted product design problems. There are two major axioms in the axiomatic design, i.e., independence axiom and information axiom (Khandekar and Chakraborty 2018; Wang, Mu, and Guo 2016). For the independence axiom, functional requirements of a system must maintain independence. While for the information axiom, the product design with the least information content is the best. One advantage of the axiomatic design method is that the calculation of information content is easy and convenient when system range and design range are known (Babur, Cevikcan, and Durmusoglu 2016; Kahraman et al. 2018). Since its appearance, the axiomatic design theory has been employed to solve various decision-making problems, which include preventive maintenance planning (Seiti et al. 2019), outsourcing provider selection (Perçin 2019), optimal prototype design (Ijadi Maghsoodi et al. 2019), and emergency decision making (Ding, Zhang, and Liu 2020). Therefore, it is promising to apply the axiomatic design approach to obtain satisfactory and reliable EC ranking results in practical QFD problems.
Semi-quantitative method for task planning in product eco-design
Published in International Journal of Production Research, 2019
Cheng Zhang, Haihong Huang, Lei Zhang, Zhifeng Liu
Axiomatic design is a tool to rationalise the design process. The five eco-design elements in the proposed method are analysed based on axiomatic design to obtain their time sequence in design optimisation (Figure 4). The design time sequence of the five design elements in product optimisation design is function, materials, geometric structure, connection relationship and manufacturing process. And when optimising one design element among the five, the subsequent design elements in the design sequence also need to be adjusted or redesigned. Therefore, the expected total man-hours for eco-design optimisation can be appropriately measured by Equation (12) in the proposed method. where is the expected total man-hours for eco-design optimisation when the jth optimisation direction is selected; is the average man-hours for the tth part’s eco-design on Ci, which can be estimated according to previous product design and development.
A goal-oriented approach based on fuzzy axiomatic design for sustainable mobility project selection
Published in International Journal of Systems Science: Operations & Logistics, 2019
Axiomatic design (AD) establishes a scientific and systematic basis to improve design activities (Suh & Sekimoto, 1990) by translating functional requirements into design parameters for easy implementation by the designer. It is widely used in the design processes of product, production systems and software design. To improve a design, the axiomatic approach uses two axioms, an ‘independence axiom’ and an ‘information axiom’. The independence axiom states that the independence of functional requirements must always be maintained, where functional requirements can be defined as the minimum set of independent requirements that characterises the design goals. The information axiom states that the design having the smallest information content is the best design among those designs that satisfy the independence axiom (Suh, 2001).