Using DEA window analysis to measure the efficiencies of blowing machines in plastics industry

Efficiency evaluation is vital in determining whether a production line can achieve its goals or not. the present study aims at assessing the efficiency of five blowing machines in a plastics industry using dea window analysis in both day and night shifts for the period feb.,2014 to jun.,2014. the production quantity is set as the output,whereas the defect quantity and idle time (units) are set as the inputs for all windows. utilizing the dea models,the technical,pure technical and scale efficiency values are then calculated in both day and night shifts for each machine. a comparison is conducted between the day and night shifts for each machine. moreover,comparisons are performed among the efficiency of five machines in both day and night shifts. improvement actions are then suggested to reduce the inefficiency. results showed that significant differences exist between day and night shifts for each machine. directions for improvement are then suggested,which requires managerial as well as operational actions to improve process performance. in conclusions,the thorough analysis and discussion of the results in the present paper provide a valuable evaluation to production managers for improving the performance of blowing processes. © 2016 jordan journal of mechanical and industrial engineering. all rights reserved.