05 February 2017

What is a Multi Moment Analysis (MMA) Study?

A Multi Moment Analysis MMA or Sampling Work is a special statistical technique that enables you to gain data and information about your enterprise and work procedures. It is MMA’s main objective to provide data and facts about the effort distribution in your enterprise. Consequently you will be able to distinguish value-adding tasks and activities from waste-of-time. MMA provides very reliable facts of the current situation. Efficiency killers and bloated administrative routines can be identified clearly and easily. Waste-of-time procedures and efficiency killers occur in very different forms and are often hidden. Sometimes there is a vague subjective feeling among the staff that something is wrong or does not fit when it comes to daily work routines. Often your employees just feel, but do not know, the efficiency killers which may cause a latent feeling of working in vain, and make people dissatisfied. This means decreasing motivation at the same time. A dangerous development starts if these phenomena are not strongly opposed and changed within an appropriate period of time. Without reliable hard facts, it is impossible for management to react and to improve the situation, respectively to make the right investment decisions with strong potential for the future. Efficiency killers prevent the potential of your enterprise to fully blossom.

The participation of your employees is very important for the success of an MMA. Your employees will be asked at random times what tasks they are performing at that very moment. This randomness guarantees the statistical accuracy and robustness of the MMA results. Also, your employees will see the benefits of their participation in providing reliable, accurate data to address and discuss the issues that have been bothering them, but which they have not been able to quantify. Finally, the effort to participate and the interruption of the workflow are minimal for an MMA and much lower compared to any comparable study (e.g. time study, standard data or predetermined motion time system).

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