Bottleneck analysis using reverse-score : An experimental study

There are manufacturing systems all over the world and all of them present dif- ferent characteristics. To get close to those manufacturing systems and aid them to analyze data and improve their efficiency, it arises FACTS Analyzer®. The present project concerns the development of a bottleneck analysis using REVERSE- SCORE (Simulation based COnstraint REmoval), feature included in FACTS Ana- lyzer. It is used Simulation-based Multi-Objective Optimization (SMO) to ana- lyze the different variables of a production line and investigate how to best extend previous application of SMO for bottleneck detection to not only consider im- provements of system parameters but also degradations of them. Degrading some system parameters can have many hidden advantages such as reduce power con- sumption, increase material efficiency or lengthen the useful life of the machines or tools, advantages that can draw near sustainability