Manufacturing capacity planning and control

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Manufacturing capacity planning and control

SIGLELD:D48699/84 / BLDSC - British Library Document Supply CentreGBUnited Kingdo

An intelligent hybrid model for customer requirements interpretation and product design targets determination

SIGLEAvailable from British Library Document Supply Centre-DSC:DXN012307 / BLDSC - British Library Document Supply CentreGBUnited Kingdo

A hybrid genetic algorithm for a type of nonlinear programming problem

AbstractBased on the introduction of some new concepts of semifeasible direction, Feasible Degree (FD1) of semifeasible direction, feasible degree (FD2) of illegal points ‘belonging to’ feasible domain, etc., this paper proposed a new fuzzy method for formulating and evaluating illegal points and three new kinds of evaluation functions and developed a special Hybrid Genetic Algorithm (HGA) with penalty function and gradient direction search for nonlinear programming problems. It uses mutation along the weighted gradient direction as its main operator and uses arithmetic combinatorial crossover only in the later generation process. Simulation of some examples show that this method is effective

An intelligent information framework relating customer requirements and product characteristics

This article was published in the journal, Computers in Industry [© Elsevier]. The definitive version is available at: http://dx.doi.org/10.1016/S0166-3615(00)00074-9Market driven strategies encourage enterprises to produce products that customers want to buy, and therefore can improve an enterprise's market position. Few organisations make effective use of market, competitor and customer information. Information modelling and intelligent support tools help define product specifications focused on fulfilling customer requirements and facilitating information sharing between members of extended design teams. Design effort can be targeted at particular product features, which yield maximum benefits for customer satisfaction. The Market Driven Design System provides comprehensive, intelligent support, meeting the challenges of effectively modelling, using and sharing valuable, yet imprecise, non-technical market information during product design