capability evaluation information data obtained
through model calculation need to be analyzed and
verified to be convincing and authoritative evaluation
results can be formed. In equipment support ability
evaluation practice, due to the information in the
process of data collection, model building and
calculation, the concrete numerical error in the
processing, the acquisition of information data and
evaluation index system and evaluation model of
demand, different evaluation methods to evaluate the
same object results may also be inconsistent, can lead
to inaccurate evaluation data results. Therefore,
qualitative and quantitative analysis, data scores and
system simulation verification methods are needed for
analysis and verification, which focuses on
verification and analysis of pertinence, authenticity,
objectivity, timeliness and accuracy of data sources,
acquisition process, data classification, calculation
process and other links. If it fails to pass the
verification, the analysis and verification results
should be fed back to the relevant links for
supplementary verification, modification, re-
collection, calculation, etc., to ensure the accuracy and
reliability of the evaluation results.
3.3 Meta-Evaluation of Evaluation
Report
Meta-evaluation of the evaluation report is the
evaluation and confirmation of the equipment support
capability evaluation report, which is an important
step in the end of the evaluation. It is divided into two
parts: formal review and substantive review. Formal
review mainly refers to the review of whether the
content and form of the evaluation report are
standardized and complete, and the review of the
effectiveness of the evaluation report. Substantive
review is to examine whether the core content and
data of the evaluation report are comprehensive, true
and accurate, and to examine the reliability of the
evaluation report. If the evaluation report fails to pass
the evaluation, the relevant situation should be fed
back to information collection, data processing, grade
generation, report writing and other links that may
have problems, and targeted measures should be
taken to correct, supplement or re-evaluate, and then
the evaluation should be carried out again until it
passes. After the evaluation report passes the
evaluation, the evaluation leadership group will
officially confirm the evaluation report and submit it
to the evaluation initiator, who will organize the
feedback and application of the evaluation results.
4 EQUIPMENT SUPPORT
CAPABILITY EVALUATION
PROCESS BASED ON
META-EVALUATION
Combined with the evaluation of application, on the
basis of evaluation practice and the related literature
research, this article explores to build a set of more
scientific and standardized evaluation process, to
evaluate the implementation of the whole process of
the equipment support by will involve activities
analysis integration, clear and complete description
in the form of framework, which provides the
standard basis for the evaluation practice. At the same
time, this paper discusses and studies the evaluation
indicators and standards, evaluation data collection,
evaluation normative documents and feedback
application that are widely concerned in evaluation
organization and implementation.
4.1 Evaluation Process Framework
According to the organization and implementation of
the evaluation, the equipment support capability
evaluation process can be divided into three stages:
evaluation preparation, evaluation implementation
and evaluation summary, including the following
steps: (1) clarifying the evaluation objects, objectives
and boundaries; (2) Establish evaluation institutions
and clarify the responsibilities of each organization;
(3) Formulating the evaluation program, which
mainly includes establishing the evaluation index
system, selecting the evaluation method, establishing
the evaluation model, and verifying the evaluation
model; (4) Review and confirmation of the evaluation
scheme; (5) Evaluation personnel training; (6)
Evaluation information data collection; (7)
Evaluation of information data processing; (8)
Generation of evaluation results; (9) Analysis and
verification of evaluation results; (10) Writing
evaluation reports; (11) Evaluation and confirmation
of the evaluation report; (12) The feedback and
application of the evaluation results. The basic flow
is shown in Figure 1.