Augmenting a Design Repository to Facilitate Product Family Planning

Author(s):  
Matthew Fledderjohn ◽  
Steven B. Shooter ◽  
Robert B. Stone

A Design Repository has been created in an effort to archive existing products and the components in each product. With this function-based archiving system, designers can retrieve design information on existing products to assist in a new design project. The use of product families has emerged as an approach to exploit commonality for more efficient product development. However, the Design Repository does not contain explicit design information on platforms and modules. This paper describes information for the design of a platform and proposes a new data structure that organizes the information for augmenting the Design Repository. An information flow model for the development of a single product is modified to describe the flow of information needed for product platform design. The information flow model and associated data structure has been shown to be effective in representing three common product families: the Black & Decker Firestorm tool set, Kodak single-use cameras, and the IceDozer family of ice scrapers. With this data structure implemented into the existing repository, designers can find useful information on how to create different products based on the a common platform.

Author(s):  
Timothy J. Hoffman ◽  
Steven B. Shooter ◽  
Simon Szykman ◽  
Steven J. Fenves

Abstract A study of product development practices at a major consumer product manufacturer, referred to as Company X, was undertaken to compare its methods to an earlier effort in modeling the flow of information in product design, referred to as the Design Information Flow Model. The model considers the recognized need in industry for the seamless capture, storage, and retrieval of design information. The research at Company X focused on the front end of product design, that is, the conceptual phase. It was learned that design, as defined by the Information Flow Model, is well represented at the front end of the company’s design process. However, this validation effort succeeded in uncovering certain voids, particularly in later states of the model. It was also learned that product documentation quality and quantity at Company X vary from project to project, indicating an important aspect to consider in our efforts to enhance computer-aided product design is the user.


1994 ◽  
pp. 65-89 ◽  
Author(s):  
William R. Simpson ◽  
John W. Sheppard

Author(s):  
Dongming Lu ◽  
Shouqian Sun ◽  
Zhijun He

Abstract The IFBMDA is an Information-Flow-Based model for Mechanical Design Automation. This paper first analyzes the mechanical design process from the views of design methodology and cognitive model. Then, two essential assumptions about mechanical design behavior are provided. Based on the analysis and fundamental assumptions, this paper thoroughly describes five submodels which constitute the automation model IFBMDA. They are Information Flow model, Knowledge Processing model, Non-monotonic Expansion Search model, Iterative Constraint Generation and Solution model and Design Process Stage model. Then, this paper also evaluates the model in both practical and theoretical aspects and shows that it is well-developed in both aspects. Finally, the perspective of further mechanical design automation research is outlined.


2019 ◽  
pp. 135-143
Author(s):  
G. Quirchmayr ◽  
V. Kupfersberger ◽  
G. Langner ◽  
Th. Schaberreiter

2019 ◽  
Vol 21 (47) ◽  
pp. 26237-26250 ◽  
Author(s):  
Myong In Oh ◽  
Mayuri Gupta ◽  
Chang In Oh ◽  
Donald F. Weaver

Dynamic hydrogen bond trails in water confined between two phospholipid membranes traced by the information flow model.


Author(s):  
Jyotirmaya Nanda ◽  
Timothy W. Simpson ◽  
Steven B. Shooter ◽  
Robert B. Stone

A flexible information model for systematic development and deployment of product families during all phases of the product realization process is crucial for product-oriented organizations. In this paper we propose a unified information model to capture, share, and organize product design contents, concepts, and contexts across different phases of the product realization process using a web ontology language (OWL) representation. Representing product families by preconceived common ontologies shows promise in promoting component sharing while facilitating search and exploration of design information over various phases and spanning multiple products in a family. Three distinct types of design information, namely, (1) customer needs, (2) product functions, and (3) product components captured during different phases of the product realization process, are considered in this paper to demonstrate the proposed information model. Product vector and function component mapping matrices along with the common ontologies are utilized for designer-initiated information exploration and aggregation. As a demonstration, six products from a family of power tools are represented in OWL DL (Description Logic) format, capturing distinct information needed during the various phases of product realization.


Author(s):  
Elizabeth D. Steva ◽  
Elizabeth N. Rice ◽  
Tucker J. Marion ◽  
Timothy W. Simpson ◽  
Robert B. Stone

As companies are pressured to decrease product development costs concurrently with increasing product variety, the need to develop products based upon common components and platforms is growing. Determining why a platform worked, or alternatively why it did not, is an important step in the successful implementation of product families and product platforms in any industry. Unfortunately, published literature on platform identification and product family analysis using product dissection and reverse engineering methods is surprisingly sparse. This paper introduces two platform identification methodologies that use different combinations of tools that can be readily applied based on information obtained directly from product dissection. The first methodology uses only the Bills-of-Materials and Design Structure Matrices while the second utilizes function diagrams, Function-Component Matrices, Product-Vector Matrices, and Design Structure Matrices to perform a more in-depth analysis of the set of products. Both methodologies are used to identify the platform elements in a set of five single-use cameras available in the market. The proposed methodologies identify the film advance and shutter actuation platform elements of the cameras, which include seven distinct components. The results are discussed in detail along with limitations of these two methodologies.


1993 ◽  
Vol 18 (3) ◽  
pp. 182-192 ◽  
Author(s):  
Margaret C. Thompson ◽  
Debra J. Richardson ◽  
Lori A. Clarke

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