“ANN based Intelligent Model to Deploy Effective Project Teams in Real Time”

Abstract

Artificial Neural Networks (ANNs) are information elaboration systems which are able to simulate the behaviour of a biological nervous system, similar to the one present in the brain of a human, for resolution of a specific problem. Their applications have revolutionized several industries and functions, including HR, in a short span of time. These state-of-the-art AI solutions, build together or independently, a more efficient way for the Human Resource managers to predict the potential success of an employee in his or her work team. This paper attempts to design an Artificial Neural Network to aid in deployment of effective project teams in real time.

In this paper, prototype of an Artificial Neural Network (Multi- Layer Perceptron) is developed, keeping in mind the objective of classifying an employee’s suitability to be picked as a member of a Project Team. The independent variables (neurons of the input layer) are related to Situational, Organisational, Team, Individual and Task related factors and Manpower Data; while the dependent variable or the neuron in the output layer of the model is the class (High, Medium, or Low) an employee belongs to, w.r.t. his suitability to be picked as a team member (Matching Index). The proposed model adopts a supervised learning approach.  Upon deliberations, suitable parameters of MLP architecture, viz. number of layers, neurons, training algorithms, activation and transfer function, etc. are recommended by the authors.