Quantitative Models for Assessing MOC Performance | AIChE

Quantitative Models for Assessing MOC Performance


Conference Presentation

Conference Type

AIChE Spring Meeting and Global Congress on Process Safety

Presentation Date

March 13, 2011


30 minutes

Skill Level




The safety community, bolstered by the PSM regulations, has emphasized the importance of proper management of change to ensure safe, reliable and economic operation of chemical plants and refineries. Yet, at many sites, the MOC process is often harshly criticized as being "too inefficient", "too burdensome", "too slow", "too confusing", etc. In order to assess the validity of these criticisms, it is necessary to measure the efficiency, burden, speed, clarity, etc. of the MOC business process.

The author has developed conceptual models of the MOC business process, which provide quantitative assessments of various parameters such as efficiency, speed and so on. The models are implemented numerically, and provide a platform for testing different alternatives. The MOC business process models are applied to the problem of determining the optimum way of approving MOCs, as an example of how to improve the overall MOC business process.


Once the content has been viewed and you have attested to it, you will be able to download and print a certificate for PDH credits. If you have already viewed this content, please click here to login.




Do you already own this?



AIChE Member Credits 0.5
AIChE Pro Members $15.00
AIChE Graduate Student Members Free
AIChE Undergraduate Student Members Free
AIChE Explorer Members $25.00
Non-Members $25.00