Paper Title
A Statistical Information Theory Approach for Evaluation Human Factor Behaviors in a Warehouse

Abstract
This study aimed to evaluate workers' Human Factor Behaviors (HFB) and to determine the importance of each Behavioral Risk Factor in a warehouse in Jordan. This study was conducted in 2017 in Jordan. The methodologies adopted were one-way ANOVA test and entropy. Having determined the behavioral risk factors and taking the results of a pilot study as a reference, a sample of 1230 was selected, with sampling accuracy of 5% and confidence level of 95%.The results have implied that 45% of workers behaviors were risk factors. The most common human behavioral risk factor was inappropriate posture (Bending Neck) with 18.8% of total human behavioral risk factors. The results also have notified a significant relationship between age, job experience, education and working hours on human behavioral risk factors (p<0.05). The greatest weight obtained by entropy belongs to inappropriate posture in holding Personal Digital Assistant (PDA) with a weight of 0.15. The most common and the most important human behavioral risk factor is not following ergonomic principles while working on computers, which argues the need for improving the managerial practices among those warehouses. Keywords - Risk HFB, Entropy, One-Way ANOVA Test, Decision-Making Matrix (DMM).