A material design system has been developed, utilising mathematical modelin
g and knowledge-based approaches. The Knowledge-Based System (KBS) generate
s about 15-30 different target compositions for steelmaking for each custom
er order. Fuzzy logic is applied in the system for the design of steel plat
es, to rank the alternative target compositions for steelmaking according t
o the degree to which they will satisfy the customer's requirements of chem
ical and mechanical properties, with due consideration given to the economi
c aspects and the complexity involved in the production. Statistical data r
egarding the performance of the grades produced in the past are also utilis
ed in this process. The development of individual, composite and Weighted S
um Membership Functions (WSMFs) has been identified as very important in re
alistically ranking the target compositions for steelmaking. (C) 1999 Elsev
ier Science Ltd. All rights reserved.