|Publisher||American Society of Safety Engineers||Language||English|
|Content Type||Conference Paper|
|Title||SH&E Metrics: From Compliance to System Improvement|
|Authors||Holly C. Elke, SH&E System Solutions Inc.|
|Source||ASSE Professional Development Conference and Exhibition, June 9 - 12, 2008 , Las Vegas, NV|
|Copyright||2008. American Society of Safety Engineers|
The primary purpose of the SH&E management system is to protect the assets of an organization. To determine if the system is accomplishing this purpose, a performance measurement program must be established. The use of performance standards, commonly known as Metrics, has become an integral requirement of the SH&E Management system. Metrics are used to verify if the products, processes and systems that have been implemented to prevent or control losses that can impact the customers of the organization are effective and functioning as designed. As each organization has a variety of internal and external customers, such as employees, visitors, contractors, shareholders, regulators, the public and other relevant stakeholders, the use of company specific performance standards and measurements will need to be developed and implemented.
Performance goals and metrics are commonly grouped into the following categories:
The Science of Metrology
The development of an effective Metrics program requires a basic understanding of the principles of measurement and data collection. Metrology is the science of logical measurement which is vital to controlling the processes and products (training, air monitoring, software for data management, etc.) that can impact the total SH&E system and effort. The collection of data is an integral part of the metrology system and the manner in which this data is obtained and managed will have a significant impact on the SH&E metrics that are selected to be evaluated.
There are three types of data that can be collected and analyzed; these are attribute, variable and locational data. Attribute data is also known as counted data. This type of data answers questions of “how many” or “how often” and is the primary type of data that comprises the traditional lagging indicators collected by most organizations. Examples of this data may include; How many accidents? How many near misses? How often was a particular root cause identified.
Variable Data is measured data and answers questions like “how long”, “what volume, “how much time” and “how far? This type of data is generally measured with an instrument or device, which needs to be considered when selecting metrics that use this type of data.
|File Size||415 KB||16|