Development of design methodology for upgradable products based on function–behavior–state modeling
- 1 August 2005
- journal article
- Published by Cambridge University Press (CUP) in Artificial Intelligence for Engineering Design, Analysis and Manufacturing
- Vol. 19 (3), 161-182
- https://doi.org/10.1017/s0890060405050122
Abstract
Extending product life is one of the hopeful approaches to reduce the environmental issue, which is one of the most critical issues of today. However, many products are thrown away because of obsolescence of functions and their performance. Therefore, we should design products to be functionally upgradable. Moreover, such upgradable products may create business chances at later stages of product life cycles. The objective of this research is to propose a design methodology for upgradability. This methodology employs a functional modeling scheme, FBS modeling, because upgrade design is a distinctive application of functional design that aims at maximizing functional flexibility with minimal structural changes after the product is manufactured. Here, the functional flexibility refers to an ability of a product to adapt its functions to changes of user needs. This paper proposes and models design processes and design operations in the upgrade design. Especially, the methodology supports finding out candidates of modifications of the function structure and configuration of a platform, which is common structure of a product among several generations, and upgrade modules. One of its central issues of upgrade design is treatment of future uncertainty. For this purpose, we propose two design strategies: delayed selection of components, and expanding and shrinking platform. A prototype system and a case study of upgrade design for a vacuum cleaner are also illustrated. The case study indicates that the system succeeded in systematically supporting a designer to execute the design methodology. Regarding the functional design, as an extension of FBS modeling, this paper proposes a method to relate abstract entity concepts in FBS modeling to concrete components through a quantitative behavior model and range calculation, in addition to deployment of FBS modeling for the design methodology.Keywords
This publication has 24 references indexed in Scilit:
- Physical concept ontology for the knowledge intensive engineering frameworkAdvanced Engineering Informatics, 2004
- A scheme for functional reasoning in conceptual designDesign Studies, 2001
- Postponement Strategies for Channel DerivativesThe International Journal of Logistics Management, 2000
- Study on life-cycle design for the post mass production paradigmArtificial Intelligence for Engineering Design, Analysis and Manufacturing, 2000
- Functional reasoning in designIEEE Expert, 1997
- Supporting conceptual design based on the function-behavior-state modelerArtificial Intelligence for Engineering Design, Analysis and Manufacturing, 1996
- Functional descriptions used in computer support for qualitative scheme generation—“Schemebuilder”Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 1996
- Function–behavior–structure paths and their role in analogy-based designArtificial Intelligence for Engineering Design, Analysis and Manufacturing, 1996
- Generalized set-propagation operations over relations of more than three variablesArtificial Intelligence for Engineering Design, Analysis and Manufacturing, 1995
- Qualitative process theoryArtificial Intelligence, 1984