We wanted to study and optimize work at all times. With the improvement of technologies and the conclusion of research, there are four main methods for evaluating working time.
Based on a real observation of the work, it allows to identify the standard times as well as potential improvements.
One of the techniques of time study, standard data consists in the construction of a time data bank.
Based on a statistical analysis of frequencies, this method allows to determine operations times by freeing of technical difficulty or judgement.
The pace judgment is a subjective assessment of the relative rate of work observed. The analyst compares the observed operator’s performance with a concept of normality.
MTM is the most well-known predictive method of time. Widespread in the industry, particularly automotive, it originated in the early 20th century.
Evolution of the MTM1, the main challenge of the MTM2 is to simplify the system and reduce the time of analysis while maintaining a good accuracy.
The third evolution of the MTM, it aims once again to reduce the processing times of the measures
With this new version of the MTM, the goal is to make it the fastest MTM system.
The MOST is a method of predetermination of time. Simpler and above all faster than MTM, it is based on standard sequences and the fact that most of the work is done with objects.
The MiniMOST is suitable for very repetitive and precise movements.
Unlike the most, this version has been developed for less repetitive activities (less than 150 times per week), lasting from 2 minutes to several hours and based on operations ranging from 2 minutes to more than 10 minutes.
The MTM and other prédétermimation tools are very powerful tools but require a great deal of knowledge and rigour in its application. Below we propose a comparison between different of these methods.