Arena Software Results
In the above figure, the fit was done with respect to the observed data with a mathematical distribution, and we came up with selecting a Beta distribution for servicing time : ( 46+ 56 Beta (0,0) )
and to verify the goodness of fit of our mathematical model, we have carried out a Chi-Squared test which provides us with a P-value of 0.0125, indicating that our model has high significance to data observed.
The arena analysis was performed using two input distributions, the customer arrival using Exponential and the servicing time using Beta Distribution. The results show that the 'Entity 1' product takes around 0.12 minutes to move across the cashier counter. The queuing time was found to be 0.6 minutes on average for lanes 1 and 2. the main highlighting point of our results is the Resource usage, which corresponds to the workload on cashier employees. Our simulation ran for 2 hours, and the results were that for varying customers arrival rates and no of products that come into the lane, the cashier employee working usage was 100%. And this scenario in real life can induce enormous mental and physical fatigue stress on the employee worker. And further understanding, in this case, is to be required, for which we have utilized both TUMEKE and COGULATOR software to find the muscular-skeletal injuries and mental workload analysis.
Coagulator Results
The coagulator created a tightly focused application for building GOMS models by applying fundamental human factors to an essential human factors tool.
Gantt chart (above) visualizes the model, shows 1) Each operator time 2) What resources it uses.
Tumeke Results
Automatically computes the risk of a job via phone's camera. Computer vision does Ergonomic assessments. Identifies Ergonomic Risk & provides Risk Scores.
The above images have been suggested by the Tumeke software, wherein it describes the Risk Level and Risk Scores