Concurrent engineering use of fuzzy logic

Conference · Tue Dec 31 04:00:00 EST 1996

OSTI ID:501759

Feraille, F; Chedmail, P ^[1]

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1. Ecole Centrale de Nantes (France)

In concurrent engineering a crucial problem is the management of conflicts. To avoid conflicts between the different viewpoints and activities, the usual tools and methods are rather poor. As we can group all the constraints from several viewpoints, and solve the global problem. But it`s difficult to manage the associated mathematical problem. However as proposed, every designer who is acting at the design of the product solves his own problem, the different solutions are collected. But in this case, we can`t avoid clash or conflicts. Therefore we propose a new approach including fuzzy design environment. On an example, we present a fuzzy environment approach to design in a concurrent engineering context. So we can reduce clashes between viewpoints. After this, we present the tools we need to design with fuzzy variables. First, we summarize the usual method to optimize a problem with fuzzy constraints or parameters, giving an usual solution vector. Secondly, we introduce the concept of fuzzy solutions-set of an optimization problem. This concept is a generalization of the {open_quotes}solution family{close_quotes} notion as proposed. Ours is stronger because we attach to the solution vector X a satisfaction function {mu}(X) which mathematically describes a fuzzy solution set. We also propose a method to obtain such sets. Third, we present how to collect the different fuzzy solutions-sets from different viewpoints, in order to obtain the global fuzzy solutions-set of a design. We must pay attention to the fact that two viewpoints may have several common variables. Finally we describe the exploration of this global fuzzy solutions-set by different viewpoints using such variables as parameters for a new optimization of concurrent engineering.

• OSTI ID: 501759
• Report Number(s): CONF-961239--
• Country of Publication: United States
• Language: English

Related Subjects

42 ENGINEERING
99 GENERAL AND MISCELLANEOUS
ALGORITHMS
COMPUTER-AIDED DESIGN
ENGINEERING
FUZZY LOGIC
OPTIMIZATION