It is well known that the traditional MSPM models usually require that the process data on all variables must be complete.
Multivariate statistical process monitoring (MSPM) techniques have been widely used to build statistical models for some unmeasured variables and for establishing online monitoring schemes for industrial process [1, 2].
MSPM's functionality is broken down into components: MSPM Drill & Blast and MSPM Grade Control.
At sites that have fragmentation measurement systems (particle size distribution) and truck/shovel fleet management systems, MSPM allows for the correlation of P80 (80% passing size) with the measured shovel dig rate.
The initial version of MSPM will focus on drill and blast reporting, analysis and analytics, with additional functionality being added to provide tools for block model reconciliation (e.g., grade control block model vs.
* Machine Sequence part Matrix (MSPM) representation:
In MSPM matrix replace sequence number with processing time of part-machine combination i.e.
Coticchia is the executive director of the Master of Science in Product Management (MSPM
), a joint program between CMU's School of Computer Science and the Tepper School of Business.