Maximizing the performance of projects and reducing its cost by using a hybrid model of value and artificial intelligence

Abstract

This study aims to maximize the performance of projects and reduce the

cost by using the hybrid model of value engineering and artificial intelligence.

The proposed model has been applied on the Trucks (vehicles) industry in

Libya. The model aims to achieve optimization on two levels, the first level

is the application of value engineering to determine the optimal alternatives

available to different parts of the vehicle between the local manufacture of

full import or half of a local manufacturing. . . etc.

The second level is to train the neural network that has been formulated

by the researchers on the available collected data through questionnaires

and collected opinions of the client in his favorite specifications and their

relation to several factors, including the customs, traditions and economic

level. . . etc. The neural network training aims to predict better situations in

the future, adopted according to the light change of the factors which affect

customer decisions. It was found that the application of this methodology on

a sample of customers that they prefer product functions, respectively (safetycomfort

and luxury- luxuries level- the shape and interior and exterior

decoration- durability- the power of the engine- the allowable weight of the

load- the speed of the truck – and the engine age) .