In order to efficiently deal with some complex issues in equipment-standard system such as standard revising, standard controlling, and production designing, a heterogeneous information network model for equipment-standard system is proposed in this paper.
So, models for equipment design should be as simple as possible.
Moreover, the complete physical model for new equipment may not be available.
We suggest a new mathematical model for the equipment selection and the design of a transfer line intended for a mass production of machine parts of the same type.
Relevant lessons from supply chain management and critical chain project management are combined and applied to create an enhanced critical supply chain management model for major equipment procurement to achieve better management of time uncertainty.
The analysts in this case are faced with the task of developing a failure model for the equipment in question, having very limited knowledge about either the correct form of the failure distribution or the statistical parameters that characterize the distribution.
Hammad and Zhang (2011) conducted a feasibility study using small scaled, physical equipment models for construction equipment collision detection.
Traditional outage model for the power equipment usually focus on the behavior of the equipment under random factors, and the availability of the power equipment in system analysis is usually confined to the steady value.
In order to dynamically simulate the crushing circuit, models for process equipment need to be further developed.
Detailed capital cost models for process equipment are formulated and implemented in GAMS to maximize net present value (NPV).
For example, it would enable automated progress assessment for effortless productivity tracking, automated 3D image database searching for forensic and legal analysis, and real-time local modeling for automated equipment control and safety.
