CN116611733A - Project evaluation index management method based on operation and maintenance project - Google Patents
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Abstract
The invention discloses a project evaluation index management method based on an operation and maintenance project, which belongs to the technical field of project evaluation management, and comprises the following steps of S1, determining a target: determining an evaluation object, an item target and an evaluation index; s2, formulating an evaluation standard: according to the determined evaluation index, corresponding evaluation standards are formulated; s3, designing an evaluation system: determining an overall evaluation method according to the evaluation standard to form an evaluation system so as to comprehensively evaluate the project; s4, data collection: collecting data related to the evaluation index; s5, data analysis: the collected data is arranged and analyzed, and the quality and effect of the operation and maintenance project can be comprehensively and objectively evaluated by the project evaluation index management method, so that the management level and service quality of the operation and maintenance project are improved, the efficiency, performance and customer satisfaction of the project can be effectively improved, and the smooth achievement of the project target is realized in the continuous perfection process.
Description
Technical Field
The invention relates to the technical field of project evaluation management, in particular to a project evaluation index management method based on operation and maintenance projects.
Background
The project evaluation index management means that in the project implementation process, the progress and the achievement of the project are evaluated, corresponding evaluation indexes and management methods are formulated so as to discover problems, adjust directions and improve efficiency and quality in time, and by monitoring and analyzing the indexes, managers and project teams can be helped to master the condition of the project better, take measures in time and ensure that the project is completed smoothly;
the operation and maintenance project refers to a series of works performed for guaranteeing the stable operation of the system and improving the performance of the system; the operation and maintenance project aims to ensure high availability, high performance and high safety of the system so as to meet the demands of users, and the importance of the operation and maintenance project is increasingly highlighted along with the continuous deep informatization construction; how to comprehensively evaluate and continuously improve operation and maintenance projects is an important problem facing the current operation and maintenance management field;
the traditional project evaluation method only usually focuses on the project completion condition, lacks a specific evaluation method for project indexes, and is often difficult to determine due to the complexity and the specificity of the operation and maintenance project, so that the evaluation result is not objective and accurate enough, and therefore, the project evaluation index management method based on the operation and maintenance project is provided.
Disclosure of Invention
The present invention aims to solve at least one of the technical problems existing in the prior art. Therefore, an object of the present invention is to provide a method for managing project evaluation indexes based on operation and maintenance projects.
In order to achieve the above purpose, the present invention provides the following technical solutions:
an item evaluation index management method based on operation and maintenance items comprises the following steps:
s1, determining a target: determining an evaluation object, an item target and an evaluation index;
s2, formulating an evaluation standard: according to the determined evaluation index, corresponding evaluation standards are formulated;
s3, designing an evaluation system: determining an overall evaluation method according to the evaluation standard to form an evaluation system so as to comprehensively evaluate the project;
s4, data collection: collecting data related to the evaluation index;
s5, data analysis: the collected data are arranged and analyzed, the numerical value of each index is calculated, and the numerical values are compared and analyzed;
s6, evaluating results: comprehensively evaluating the analyzed data and the whole operation and maintenance project;
s7, making measures: and (5) formulating an improvement scheme according to the obtained analysis result.
In one or more embodiments of the present invention, before the evaluation object is determined in step S1, an evaluation management committee is composed, and a specific management method is specifically set by the evaluation management committee.
In one or more embodiments of the present invention, in the step S1, the evaluation index is classified into a quantitative index system and a qualitative index system;
the quantitative indexes can be accurately defined in number, accurately measure and set the assessment indexes of performance targets, and the qualitative indexes realize quantitative assessment indexes by assessing dimensions and determining the weight occupied by each dimension according to the importance degree.
In one or more embodiments of the present invention, the step S2 specifically includes:
s201, determining a service level index: service availability index, fault handling time index, service response time index, agreed by Service Level Agreement (SLA), system availability monitored in real time by monitoring system, average fault time calculated by recording fault time, fault times calculated by counting fault records, fault handling time calculated by recording fault handling time, user satisfaction evaluated by user questionnaire, service response time calculated by recording service response time;
s202, cost indexes: determining operation and maintenance cost, equipment maintenance cost and personnel cost indexes through cost accounting;
s203, safety indexes: determining data security, system security and network security indexes through security assessment;
s204: user satisfaction index: determining user feedback, user complaints and user satisfaction survey indexes through user surveys;
s205, performance indicators: and determining the work efficiency, the work quality and the work load index through performance assessment.
In one or more embodiments of the present invention, the step S4 specifically includes:
s401, clearly collecting targets: the purpose and the range of data are clearly collected, and the cost, time and quality of collecting operation and maintenance projects are carried out;
s402, determining a data source and a method: according to the reliability and accuracy of the data, data collection is carried out through project management software, financial reports and employee surveys, and data collection is also carried out according to quantitative indexes and qualitative indexes, questionnaires and statistical analysis are quantitative methods, interviews and focus groups are discussed as qualitative methods;
s403: making a data collection plan: organizing and establishing a collection group, and determining the time, place and mode of collecting data;
s404: sorting and storing data: and establishing a data model by using the NoSQL database, and storing data through cloud storage.
In one or more embodiments of the present invention, the step S5 specifically includes:
s501, data cleaning: cleaning the collected data to remove repeated data and missing data;
s502, preprocessing data: carrying out data normalization, standardization and discretization on the data so as to facilitate subsequent data analysis;
s503, analyzing and summarizing results: the analysis result is visually displayed, and a chart and report mode is adopted, so that the analysis result is convenient to understand and use;
s504, explaining the result: and the analysis result is interpreted, corresponding suggestions and improvement measures are provided, and the decision making and improvement are facilitated.
In one or more embodiments of the present invention, the step S7 specifically includes:
s701, corresponding improvement measures are formulated and implemented, and effects of the improvement measures are monitored and evaluated to ensure effectiveness of the improvement scheme;
s702, continuously optimizing and improving the evaluation index and the management method according to the monitoring result so as to achieve the purpose of continuous improvement;
s703, establishing a reporting mechanism, and timely reporting the running condition and the existing problems of the project to a project manager for monitoring the change trend of the evaluation index, the existing problems and the influence thereof, and taking measures and effects, and timely finding out the problems and taking corresponding measures by establishing the reporting mechanism so as to ensure the smooth proceeding of the project.
In one or more embodiments of the present invention, in the step S503, the results are analyzed one by one through association analysis, anomaly analysis, and predictive analysis, wherein:
correlation analysis: by analyzing the relation among different indexes, key factors influencing project performance are found out, and decision basis is provided for project management;
abnormality analysis: analyzing the abnormal data, finding out the reason of the abnormality, and taking measures in time to avoid negative influence on the project;
predictive analysis: by analyzing the historical data, a prediction model is established, future project performance is predicted, and decision basis is provided for project management.
Compared with the prior art, the invention has the beneficial effects that:
the project evaluation index management method can comprehensively and objectively evaluate the quality and effect of the operation and maintenance project, further improve the management level and service quality of the operation and maintenance project, effectively improve the efficiency, performance and customer satisfaction of the project, and realize the smooth achievement of the project target in the continuous perfection process;
according to the invention, the project indexes are evaluated by collecting and analyzing the data, so that the comprehensive evaluation of the operation and maintenance project is realized, a continuous improvement plan is formulated according to the evaluation result, the management and operation of the operation and maintenance project are continuously optimized, and the overall efficiency of the project management and operation and maintenance is improved.
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FIG. 1 is a schematic flow chart of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present invention provides a technical solution:
an item evaluation index management method based on operation and maintenance items comprises the following steps:
s1, determining a target: determining an evaluation object, an item target and an evaluation index;
s2, formulating an evaluation standard: according to the determined evaluation index, corresponding evaluation standards are formulated;
s3, designing an evaluation system: determining an overall evaluation method according to the evaluation standard to form an evaluation system so as to comprehensively evaluate the project;
s4, data collection: collecting data related to the evaluation index;
s5, data analysis: the collected data are arranged and analyzed, the numerical value of each index is calculated, and the numerical values are compared and analyzed;
s6, evaluating results: comprehensively evaluating the analyzed data and the whole operation and maintenance project;
s7, making measures: and (5) formulating an improvement scheme according to the obtained analysis result.
Specifically, in step S1, before the evaluation target is determined, an evaluation management committee is composed, and a specific management method is subject to a specific stand by the evaluation management committee.
The members of the evaluation management committee should include enterprise high-level management personnel, professional evaluators, financial staff and legal consultants, define their responsibilities and authorities, and should be independent of the operators of the evaluated items to avoid collision and interference of interests, and in the evaluation index management, the member lists, responsibilities and authorities should be disclosed.
Specifically, in step S1, the evaluation index is divided into a quantitative index system and a qualitative index system;
the quantitative indexes can be accurately defined in number, accurately measure and set the assessment indexes of performance targets, and the qualitative indexes realize quantitative assessment indexes by assessing dimensions and determining the weight occupied by each dimension according to the importance degree.
From the above, the availability, average failure time and average repair time of the system are quantitative indexes, which can be evaluated by using a data analysis tool, and the user satisfaction, the usability and the safety of the system are qualitative indexes, which are evaluated by using a user investigation tool.
Specifically, step S2 specifically includes:
s201, determining a service level index: service availability index, fault handling time index, service response time index, agreed by Service Level Agreement (SLA), system availability monitored in real time by monitoring system, average fault time calculated by recording fault time, fault times calculated by counting fault records, fault handling time calculated by recording fault handling time, user satisfaction evaluated by user questionnaire, service response time calculated by recording service response time;
s202, cost indexes: determining operation and maintenance cost, equipment maintenance cost and personnel cost indexes through cost accounting;
s203, safety indexes: determining data security, system security and network security indexes through security assessment;
s204: user satisfaction index: determining user feedback, user complaints and user satisfaction survey indexes through user surveys;
s205, performance indicators: and determining the work efficiency, the work quality and the work load index through performance assessment.
The cost index is characterized in that operation and maintenance cost, equipment maintenance cost and personnel cost are respectively classified into different cost classifications, all cost data related to operation and maintenance projects are collected, including equipment purchasing cost, equipment maintenance cost, personnel salary and training cost, the equipment purchasing cost is distributed into the equipment maintenance cost, the personnel salary is distributed into the personnel cost, the operation and maintenance cost, the equipment maintenance cost and the personnel cost index are calculated according to the cost classifications and the distributed cost data, and finally the change trend and the reason of the cost index are analyzed;
selecting proper security assessment methods such as vulnerability scanning, penetration testing and security audit from the security indexes, assessing the system, the network and the data according to the selected security assessment methods, finding security vulnerabilities and risks, analyzing the assessment results, and determining data security, system security and network security indexes such as vulnerability quantity and security event occurrence rate;
in the user satisfaction index, a user group for investigation, such as internal staff and external clients, is determined, and corresponding questionnaires are designed according to the characteristics of investigation objects, including user feedback, user complaints and user satisfaction, investigation is carried out in an online investigation, telephone investigation and face-to-face interview mode, and investigation results, such as data of the user feedback, the user complaints, the user satisfaction and the like, are collected;
in the performance indexes, according to project plans and task allocation, the time of the operation and maintenance personnel completing the task, such as the starting time and the ending time of the task and the progress condition of task completion, according to project targets and requirements, the effect of the operation and maintenance personnel completing the task, such as the completion quality, reliability, stability and the like, is evaluated, and according to the completion time and the effect of the task, the working efficiency of the operation and maintenance personnel, such as the speed, efficiency and effect of task completion, is evaluated.
Specifically, step S4 specifically includes:
s401, clearly collecting targets: the purpose and the range of data are clearly collected, and the cost, time and quality of collecting operation and maintenance projects are carried out;
s402, determining a data source and a method: according to the reliability and accuracy of the data, data collection is carried out through project management software, financial reports and employee surveys, and data collection is also carried out according to quantitative indexes and qualitative indexes, questionnaires and statistical analysis are quantitative methods, interviews and focus groups are discussed as qualitative methods;
s403: making a data collection plan: organizing and establishing a collection group, and determining the time, place and mode of collecting data;
s404: sorting and storing data: and establishing a data model by using the NoSQL database, and storing data through cloud storage.
The NoSQL database supports a plurality of data models such as key value pairs, documents, column families, graphics and the like, when the data models are designed, a proper data model is selected according to specific requirements, and the NoSQL database supports a plurality of data storage modes such as memory storage, disk storage and distributed storage, and the data is backed up and restored by adopting a distributed architecture.
Specifically, step S5 specifically includes:
s501, data cleaning: cleaning the collected data to remove repeated data and missing data;
s502, preprocessing data: carrying out data normalization, standardization and discretization on the data so as to facilitate subsequent data analysis;
s503, analyzing and summarizing results: the analysis result is visually displayed, and a chart and report mode is adopted, so that the analysis result is convenient to understand and use;
s504, explaining the result: and the analysis result is interpreted, corresponding suggestions and improvement measures are provided, and the decision making and improvement are facilitated.
When data normalization is performed, the data is scaled to the range of [0,1] by using the minimum-maximum normalization, and the formula is as follows:
the method comprises the steps of $ x '= \frac { x-min } { max-min } $ wherein $ x $ is original data, $ x' $ is normalized data, and $ min $ and $ max are respectively the minimum value and the maximum value of the data;
when data normalization is performed, the data is scaled to be within a range of any interval $ [ a, b ] $ by using a min-max normalization, and the formula is as follows:
frac { (b-a) (x-min) } { max-min } +a $ where $ x $ is raw data, $ x' $ is normalized data, $ min $ and $ max are minimum and maximum values of data, respectively, $a $ and $ b are intervals of normalized data;
when data discretization is carried out, equal-width discretization is adopted, the data is divided according to a certain interval, and the formula is as follows:
x '= \lflor\frac { x-min } { d } \rflor $ where $ x $ is raw data, $x' $ is discretized data, $min $ is the minimum value of data, and $d is interval.
Specifically, step S7 specifically includes:
s701, corresponding improvement measures are formulated and implemented, and effects of the improvement measures are monitored and evaluated to ensure effectiveness of the improvement scheme;
s702, continuously optimizing and improving the evaluation index and the management method according to the monitoring result so as to achieve the purpose of continuous improvement;
s703, establishing a reporting mechanism, and timely reporting the running condition and the existing problems of the project to a project manager for monitoring the change trend of the evaluation index, the existing problems and the influence thereof, and taking measures and effects, and timely finding out the problems and taking corresponding measures by establishing the reporting mechanism so as to ensure the smooth proceeding of the project.
Wherein, based on the analysis result, the effect of the improvement measure is evaluated, if the improvement measure reaches the expected target and index, the improvement measure can be considered to be in the correct direction, if the expected target and index are not reached, the improvement measure needs to be re-evaluated and further improvement is taken.
Specifically, in step S503, the results are analyzed one by association analysis, anomaly analysis, and predictive analysis, wherein:
correlation analysis: by analyzing the relation among different indexes, key factors influencing project performance are found out, and decision basis is provided for project management;
abnormality analysis: analyzing the abnormal data, finding out the reason of the abnormality, and taking measures in time to avoid negative influence on the project;
predictive analysis: by analyzing the historical data, a prediction model is established, future project performance is predicted, and decision basis is provided for project management.
Wherein, through association analysis, the relativity among different indexes is found; if the system stability and the failure rate have certain negative correlation, the response time and the resource utilization rate have certain positive correlation, the relation between indexes can be better understood through the correlation, and corresponding adjustment is carried out in project management;
the anomaly analysis can assist the manager to find the anomaly condition of the index, if the numerical value of a certain index suddenly appears abnormal fluctuation or exceeds the normal range, the problem can be found in time and corresponding measures can be taken through the anomaly analysis, so that the normal operation of the project is ensured;
the predictive analysis can assist the manager in predicting future index change trend, such as by historical data analysis, the change trend of future system stability can be predicted, so that corresponding measures can be taken in time, and the direction and strategy of project management can be planned better by the predictive analysis.
According to the technical scheme, the working steps of the scheme are summarized and carded: firstly, determining an evaluation object, an item target and an evaluation index, formulating a corresponding evaluation standard according to the determined evaluation index, determining an overall evaluation method according to the evaluation standard, forming an evaluation system, collecting data related to the evaluation index, sorting and analyzing the collected data, calculating the numerical value of each index, comparing and analyzing, comprehensively evaluating the analyzed data and the overall operation and maintenance item, and formulating an improvement scheme according to the obtained analysis result.
None of the inventions are related to the same or are capable of being practiced in the prior art. Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. The project evaluation index management method based on the operation and maintenance project is characterized by comprising the following steps of:
s1, determining a target: determining an evaluation object, an item target and an evaluation index;
s2, formulating an evaluation standard: according to the determined evaluation index, corresponding evaluation standards are formulated;
s3, designing an evaluation system: determining an overall evaluation method according to the evaluation standard to form an evaluation system so as to comprehensively evaluate the project;
s4, data collection: collecting data related to the evaluation index;
s5, data analysis: the collected data are arranged and analyzed, the numerical value of each index is calculated, and the numerical values are compared and analyzed;
s6, evaluating results: comprehensively evaluating the analyzed data and the whole operation and maintenance project;
s7, making measures: and (5) formulating an improvement scheme according to the obtained analysis result.
2. The method for managing project evaluation indexes based on operation and maintenance projects according to claim 1, wherein: in the step S1, before the evaluation target is determined, an evaluation management committee is formed, and a specific management method is subject to a specific stand by the evaluation management committee.
3. The method for managing project evaluation indexes based on operation and maintenance projects according to claim 1, wherein: in the step S1, the evaluation indexes are divided into a quantitative index system and a qualitative index system;
the quantitative indexes can be accurately defined in number, accurately measure and set the assessment indexes of performance targets, and the qualitative indexes realize quantitative assessment indexes by assessing dimensions and determining the weight occupied by each dimension according to the importance degree.
4. The method for managing project evaluation indexes based on operation and maintenance projects according to claim 1, wherein: the step S2 specifically includes:
s201, determining a service level index: service availability index, fault handling time index, service response time index, agreed by Service Level Agreement (SLA), system availability monitored in real time by monitoring system, average fault time calculated by recording fault time, fault times calculated by counting fault records, fault handling time calculated by recording fault handling time, user satisfaction evaluated by user questionnaire, service response time calculated by recording service response time;
s202, cost indexes: determining operation and maintenance cost, equipment maintenance cost and personnel cost indexes through cost accounting;
s203, safety indexes: determining data security, system security and network security indexes through security assessment;
s204: user satisfaction index: determining user feedback, user complaints and user satisfaction survey indexes through user surveys;
s205, performance indicators: and determining the work efficiency, the work quality and the work load index through performance assessment.
5. The method for managing project evaluation indexes based on operation and maintenance projects according to claim 1, wherein: the step S4 specifically includes:
s401, clearly collecting targets: the purpose and the range of data are clearly collected, and the cost, time and quality of collecting operation and maintenance projects are carried out;
s402, determining a data source and a method: according to the reliability and accuracy of the data, data collection is carried out through project management software, financial reports and employee surveys, and data collection is also carried out according to quantitative indexes and qualitative indexes, questionnaires and statistical analysis are quantitative methods, interviews and focus groups are discussed as qualitative methods;
s403: making a data collection plan: organizing and establishing a collection group, and determining the time, place and mode of collecting data;
s404: sorting and storing data: and establishing a data model by using the NoSQL database, and storing data through cloud storage.
6. The method for managing project evaluation indexes based on operation and maintenance projects according to claim 1, wherein: the step S5 specifically includes:
s501, data cleaning: cleaning the collected data to remove repeated data and missing data;
s502, preprocessing data: carrying out data normalization, standardization and discretization on the data so as to facilitate subsequent data analysis;
s503, analyzing and summarizing results: the analysis result is visually displayed, and a chart and report mode is adopted, so that the analysis result is convenient to understand and use;
s504, explaining the result: and the analysis result is interpreted, corresponding suggestions and improvement measures are provided, and the decision making and improvement are facilitated.
7. The method for managing project evaluation indexes based on operation and maintenance projects according to claim 1, wherein: the step S7 specifically includes:
s701, corresponding improvement measures are formulated and implemented, and effects of the improvement measures are monitored and evaluated to ensure effectiveness of the improvement scheme;
s702, continuously optimizing and improving the evaluation index and the management method according to the monitoring result so as to achieve the purpose of continuous improvement;
s703, establishing a reporting mechanism, and timely reporting the running condition and the existing problems of the project to a project manager for monitoring the change trend of the evaluation index, the existing problems and the influence thereof, and taking measures and effects, and timely finding out the problems and taking corresponding measures by establishing the reporting mechanism so as to ensure the smooth proceeding of the project.
8. The method for managing project evaluation indexes based on operation and maintenance projects according to claim 6, wherein: in the step S503, the results are analyzed one by association analysis, abnormality analysis, and predictive analysis, wherein:
correlation analysis: by analyzing the relation among different indexes, key factors influencing project performance are found out, and decision basis is provided for project management;
abnormality analysis: analyzing the abnormal data, finding out the reason of the abnormality, and taking measures in time to avoid negative influence on the project;
predictive analysis: by analyzing the historical data, a prediction model is established, future project performance is predicted, and decision basis is provided for project management.
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| CN112785060A (en) * | 2021-01-25 | 2021-05-11 | 国网山西省电力公司经济技术研究院 | Lean operation and maintenance level optimization method for power distribution network |
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