Example Contingency Control Table

DOE-STD-3007-2007

Example Contingency Control Table

Contingency (i.e., unlikely

Controlled

Controls

process condition)

Parameter

Mass

Single double batched container

1. Procedure requiring mass

in the workstation in an array of

measurement

properly loaded containers.

2. Prejob review of applicable

criticality safety limits

3. Procedure requiring mass to be

checked prior to transfer of

material

4. Procedure requiring mass to be

verified by independent operator

prior to beginning operation

1. Prejob review of applicable

Interaction

Two containers in contact in one

criticality safety limits

workstation immediately

2. PC-3 qualified rack holding a

adjacent to two containers in

maximum of three approved

contact in adjoining workstation

containers

making a total of four containers

3. Procedures and limits permit

in contact.

only one container out of the

rack at a time in each

workstation

4. Seismically qualified racks

F. EVALUATION AND RESULTS

The use of this section heading is optional. However, the content described below shall3 be incorporated

by reference or included somewhere in the CSE.

If calculational techniques are used, detailed descriptions of the models (e.g. computer input listings,

material compositions, etc.) shall3 be presented. The level of detail shall3 be sufficient to allow an

independent reviewer to reconstruct the computational model, compare the model with the descriptive

information in Subsection B, and determine if the overall model is accurate and appropriate. Significant

assumptions and simplifications shall3 be stated. Pertinent calculational parameters important to the

understanding of the analysis shall3 be specified or incorporated by reference.

All pertinent calculational results shall3 be reported. Where referenced calculations or reports are used

to support the results of the evaluation, a summary of the referenced calculations should be included.

Plots of data should be clearly labeled. Descriptions/labels of individual computer runs should indicate

the physical attributes of the system being analyzed. Estimated uncertainties in the results (e.g.,

statistical uncertainties associated with Monte Carlo calculations) and any analyzed sensitivities to