MSG Team's other articles

12959 COVID 19 and Its Impact on the Technology Sector

In the past few years, technology companies have been driving the boom in the financial markets. The FAANG companies (Facebook, Amazon, Apple, Netflix, and Google) have seen their valuations increase by leaps and bounds. However, COVID-19 is causing a worldwide stock market collapse. It would be fair to say that the pandemic is not affecting […]

8980 Disaster Recovery and Business Continuity – Planning Phase

Disaster Recovery and Business Continuity plans if well planned and implemented can help mitigate risks and loss to the business. With increasing competition and complexity of systems and reliance on IT technology, Organizations are focusing in this area to ensure they do not lose out on the business operations in the event of any disaster […]

9007 Does India Inc. Have a Diversity Problem? Should Indian Firms Do More for Inclusivity?

What Do Recent Events Indicate About How India Inc. Has a Diversity Problem? It is a well known fact that Indian Corporates often pay lip service to Diversity and Inclusivity and most D&I initiatives often exist on paper with little to show in terms of actual achievements. Apart from culturally shaped attitudes towards women and […]

10782 Project Integration and Communication Management

Project integration management refers to the process of tying everything in place. Integration management deals with: Developing the Project Charter and Project Scope statement (Initiating Process Group), Develop Project Management Plan (Planning process group), Direct and Manage project execution (Executing Process group). Hence this is process that integrates all the disparate processes and provides a […]

11861 What is FOMO (Fear of Missing out) and how it Impacts all of us in the Digital Age

What is FOMO or the Fear of Missing out and how does it Impact us all The acronym FOMO or Fear of Missing Out refers to the perceived sense of loss and fear of missing out on important updates, whether they are Facebook posts, Tweets, News Items, or even shopping goods and services. To explain, […]

Search with tags

  • No tags available.

Apart from accuracy and precision, there are more factors that determine the soundness of a measurement system. Two of these important factors are as follows:

Resolution: Resolution is the ability to see fine details in a system. This ability also gives the system, the ability to distinguish different readings from one another.

A good example would be that of the system that records late coming employees. If the measurement system designed to monitor employees coming late measures it only in hours i.e. uses the wrong resolution, then any employee who is up to 59 minutes late will appear to be on time. This is because the system will display 0 till the 60th minute is reached. In effect the organization will lose its ability to distinguish between employees coming on time and those that come late.

A good thumb rule is to build an extra decimal place in the system. If you need data up to 2 decimal places, build a system that records data up to 3 decimal places. Wrong resolution can seriously hamper the process and lead to wrong decisions.

Linearity: A system is said to be linear if proportional changes in input measurements produce proportional changes in output measurement. This means that if I know for a fact that an employee coming 10 minutes late would lead to a 2% loss of productivity in his daily output, then the same employee if he comes 30 minutes late should ideally lead to a 6% loss in his daily productivity.

The method used to find out linearity is fairly simple. Any given measurement is considered, the input variables are varied in a controlled manner and the resultant output is recorded. It is essential that at least 10 measurements be taken throughout the possible range of measurement. These points are then charted on a graph and an attempt is made to fit a line through these points. The degree to which all the points lie on this line of best fit is the degree of linearity of a system.

The degree to which the points lie away from the line of best fit is called the bias of the measurement system. For instance, if a machine shows a more accurate measurement at the centre of its operating range than at the upper or lower ends then the equipment is biased.

Common reasons for measurements not being linear are as follows:

  • Worn out equipment
  • Calibration required at the upper and lower ends of the operating range
  • Internal design problems especially in the case of electronic measurement

Article Written by

MSG Team

An insightful writer passionate about sharing expertise, trends, and tips, dedicated to inspiring and informing readers through engaging and thoughtful content.

Leave a reply

Your email address will not be published. Required fields are marked *

Related Articles

Characteristics of Data – Central Tendency and Dispersion

MSG Team

Causes of Measurement Variation

MSG Team

Steps Involved in Conducting a Measurement System Analysis

MSG Team