Multi Moment Analysis (MMO)

Introduction: MMO

Multi Moment Analysis (MMO) is a statistical technique used to evaluate how employees allocate their time across different tasks. By capturing random observations of work activities, it provides a reliable overview of time distribution. MMO is widely used to assess efficiency, identify underutilised time, and highlight opportunities for process improvement.

Background

MMO originates from industrial engineering and time study methods designed to optimise productivity. Unlike continuous observation studies, MMO relies on random sampling, making it less intrusive and more cost-effective while still yielding accurate insights into work patterns when applied correctly.

Key Elements/Features

The MMO process involves three main steps:

• Sample moments: Randomly selected points in time are used for observation.
• Observation: At each moment, the task being performed is recorded and categorised.
• Data analysis: Percentages of time spent on each activity type are calculated from the data.

Objectives:

• Provide an accurate view of time allocation.
• Support decisions to restructure processes for greater efficiency.
• Identify inefficient work patterns or areas of underutilisation.

Applications/Examples

MMO is applied in various contexts, including:

• Process improvement: Streamlining workflows in offices, factories, or service environments.
• Capacity planning: Aligning workforce needs with actual task demands.
• Performance management: Informing evaluations and training programmes.

Relevance/Impact

The benefits of MMO include:

• Cost savings by reducing inefficiencies.
• Increased productivity through optimised time allocation.
• Improved workload distribution based on accurate activity data.

However, limitations include dependence on adequate sample size for reliability and the potential for observer bias during data collection.

See also

• Time and Motion Study
• DILO
• Gemba Walk
• Process Improvement