Operational definitions

Operational definitions apply to many things we encounter each day. For example, all the measurement systems we use (feet / inches, weight, temperature) are based on common definitions we all know and agree. Sometimes these are called "standards".

Sometimes our definitions are more vague. For example, when someone says that a loan is "closed," they could mean that papers were sent but not signed. another person can mean signed but not financed; A third person could mean financed but not registered.

While emphasizing definitions related to tracking, the term equally applies to "operationally define" customer requirements, procedures, regulations, or something else that benefits from clear, unambiguous understanding.

Learning to clarify and explain operational explanations can be an important side effect of the Lean Six Sigma process.

* Y – Continuous data (Start / Stop Time and Timeout Cycle Time) like the metric (former minutes), the unit (what you are measuring) will you include weekends, holidays, working hours?)

* Y – Odd data (Define success / defects or other qualifications you recommend

* X – The value for subgroups or X-factor connections you use in your taskbar library [19659002] * Other unique terms that apply to your project that requires clear operational explanation

What it is …

– A clear detailed description of the factor measured

Why is it important ..

– so that everybody "considers" things the same way

– so we can organize how to measure results

– to ensure a common and consistent interpretation of results

– so we can work with clear understanding and with fewer oh step

Step 1 – Translate What You Want to Know About Something You Can Trust

Step 2 – Create an "Airtight" Description of the Item or Feature to Consider

Step 3 – Try your operating definition to make sure it's really "air tight"

Note: Sometimes you need to do some "digging" up front to establish good operating departments. It's usually worth working!

Characteristics and / or Level of Performance Based on Accurate Data

Examples are:

– Duration (Speed, Age)

– Size (Length, Height, Weight) [19659002] – Dollars (19659002) – Number of defects (number of errors, 19659002) Types of data

– Continuous – All parameters measured (19659002) – Number of errors (number of errors, 19659002) on a continuity or scale that can be infinitely divided.The main types are time, dollars, size, weight, temperature, speed. Always selected over Single / Cycle Time; Cost or Price; Call Length; Temperature Room

– Property Data: Individual or Feature – Number, percentage, or percentage of attribute or category. Data processing data is often odd. Examples include: Late submission; Gender; Area / Location; Room Type


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