Aspects on Process Planning Issues in Axiomatic Design

Author(s):  
Johan Vallhagen

Abstract This paper addresses some limitations of the axiomatic design theory (AD) when designing complex products and matching manufacturing systems. The conclusion is that, for complex manufacturing systems, this cannot be done in such a straightforward way as described in literature. The original method is best used for manufacturing of parts only, i.e. to find the appropriate process variables (PVs). In the case of complex manufacturing systems, a one-to-one mapping between physical domain and process domain is not possible since not all design parameters (DP) are components. Therefore, an additional process requirement domain (PR), proposed earlier, has been used. With it, the components are extracted from the DP hierarchy and mapped to different spaces in the manufacturing world. In these spaces, PRs and PVs are selected when designing the manufacturing system. An example is given to show the deficiencies and how to use the suggested modifications.

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.


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):  
David S. Cochran ◽  
Steve Hendricks ◽  
Jason Barnes ◽  
Zhuming Bi

This paper offers an extension of axiomatic design theory to ensure that leaders, managers, and engineers can sustain manufacturing systems throughout the product lifecycle. The paper has three objectives: to provide a methodology for designing and implementing manufacturing systems to be sustainable in the context of the enterprise, to define the use of performance metrics and investment criteria that sustain manufacturing, and to provide a systems engineering approach that enables continuous improvement (CI) and adaptability to change. The systems engineering methodology developed in this paper seeks to replace the use of the word “lean” to describe the result of manufacturing system design. Current research indicates that within three years of launch, ninety percent of “lean implementations” fail. This paper provides a methodology that leaders, managers, and engineers may use to sustain their manufacturing system design and implementation.


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.


2012 ◽  
Vol 271-272 ◽  
pp. 1478-1484 ◽  
Author(s):  
Wen Min Han ◽  
Jin Lei Zhao ◽  
Ying Chen

This paper presents a virtual cellular manufacturing system building model based on axiomatic design theory. By now most discussions of virtual manufacturing cellular focus on how to format a virtual cell and how to optimize a virtual cell in the execution layer. The attention to “system cost” and “efficiency” mostly were given only after the system-generated. In this paper we build a complete virtual cellular manufacturing system, and pay attention to “system cost” and “efficiency” in the conceptual design phase to make sure the techniques and resource which we choose is low-cost and non-redundant. Meanwhile in Process Domain of the model, we blend the logistics balance idea of TOC theory, waste elimination philosophy of lean manufacturing and the existing conclusions of the virtual cell literature to make sure the tools which we choose are more effective. The model will clearly set out the concept, principle and technology hierarchy of virtual cellular manufacturing system, and can be an effective map for manufacturing enterprises with low-volume and high-variety to apply the virtual cellular production.


Author(s):  
P Almström ◽  
P Märtensson

The axiomatic design theory as stated by Suh has proven useful when designing products, and this success has led to an increasing interest in applying the theory to manufacturing systems development. The theory states that functional couplings should be avoided in general. However, manufacturing systems are potentially coupled in many ways, the most obvious being that manufacturing operations usually are performed in a sequence. Functional coupling is defined as a dependence between functional requirements. The subject of couplings in manufacturing systems is not extensively explored or described in the literature, and specifically not in relation to the axiomatic design theory. Five different categories of couplings in manufacturing systems are described and exemplified in this paper. Couplings can be designed into the manufacturing system for a diverse range of reasons, e.g. selection of manufacturing processes or materials, but they may also be irrational, e.g. decisions based on political opinions.


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.


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