CN114595999A - Systematic software management method based on full-process quality control - Google Patents
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Abstract
The invention discloses a systematic software management method based on full-process quality management and control, which relates to the technical field of full-process quality management and control and solves the technical problems that a quality management and control system in the prior art is too comprehensive and the management and control efficiency is low; the analysis main body is subjected to longitudinal production monitoring, longitudinal production is divided into production steps such as planning, action, statistics and problems, whether the operation process of the current production flow is qualified or not can be judged through the longitudinal production monitoring, so that the operation qualification of the production flow is improved, the qualification of the whole-flow operation is indirectly improved, and the production efficiency of enterprises is improved.
Description
Technical Field
The invention relates to the technical field of total process quality control, in particular to a systematic software management method based on total process quality control.
Background
The quality is a pass for the product of an enterprise to go out, and is an important link which is not negligible for each modern enterprise no matter the product is used as a terminal product or a substitute processing product, and no matter the product is used as an intangible service industry or an entity industry. Nowadays, a plurality of ways which rely on manual operation are gradually replaced by intelligent machines in advanced science and technology, and meanwhile, new challenges are brought to quality management, the quality of the industry mainly in the handicraft industry is mostly finished by manpower and staff quality, the fluctuation is large, and a uniform high-quality standard is difficult to form. At present, the manufacturing industry mainly using intelligent equipment is not always attentive if the previous empirical test is still used, and a great risk exists for quality control. The advocation of quality management and control of the whole process is very important, and one of the cores of the quality control of the whole process is technical standardization and operation systematization.
However, in the prior art, the QMS systems on the market are basically fragmented, independent, non-system structured and shallow functional modules; only a certain point or some quality management requirements are fulfilled; the whole production process cannot be constructed into a multi-element and comprehensive quality detection system, the life cycle of a transverse product and the closed loop constructed by longitudinal production monitoring cannot be constructed, so that the production quality detection in an enterprise is one-sided, the quality detection efficiency is low, the management and control efficiency of the enterprise is unqualified, and unnecessary cost waste is caused.
In view of the above technical drawbacks, a solution is proposed.
Disclosure of Invention
The invention aims to solve the problems, and provides a systematic software management method based on full-flow quality control, which comprises the steps of carrying out transverse period detection on an analysis main body, wherein the transverse period comprises production period links such as design, materials, processes, manufacture and customers, and the like, and carrying out quality analysis on a corresponding production period by the transverse period detection, judging whether quality problems exist in steps in the corresponding production period, accurately judging the qualification of the production period, and preventing the abnormal production period from causing unqualified operation of the analysis main body so as to reduce the control efficiency; the analysis main body is subjected to longitudinal production monitoring, longitudinal production is divided into production steps such as planning, action, statistics and problems, whether the operation process of the current production flow is qualified or not can be judged through the longitudinal production monitoring, so that the operation qualification of the production flow is improved, the qualification of the whole-flow operation is indirectly improved, and the production efficiency of enterprises is improved.
The purpose of the invention can be realized by the following technical scheme:
a systematic software management method based on full-process quality control comprises the following steps:
the full-flow management and control terminal marks the production flow of the enterprise as an analysis main body, generates an operation analysis signal and sends the operation analysis signal to an operation end;
after receiving an operation analysis signal sent by the full-flow management and control terminal, the operator performs operation detection on the analysis main body, namely the analysis main body performs transverse periodic detection and longitudinal production monitoring; the operation end completes transverse period detection and longitudinal production monitoring, and generates and sends a process management signal to the process end after the transverse period detection and the longitudinal production monitoring are qualified;
after receiving a process management signal sent by an operation end, the process end performs basic management, key management and node management on the analysis main body; the process end completes basic management, key management and node management, and if the corresponding management is qualified, a result management signal is generated and sent to the result end;
and after the result end receives the result management signal sent by the process end, the analysis main body correspondingly completes the quality analysis of the produced products, if the quality analysis is qualified, the result end generates a normal signal of the analysis main body and sends the normal signal of the analysis main body to the full-flow management and control terminal, and if the quality analysis is unqualified, the analysis main body is subjected to backtracking management.
The system is used for an operation end, and the operation end comprises a transverse period detection unit and a longitudinal production monitoring unit;
the transverse cycle detection process of the transverse cycle detection unit is as follows:
dividing the production cycle of the analysis main body into i sub-links, wherein i is a natural number greater than 1, acquiring adjacent interval duration of each sub-link in the production cycle of the analysis main body and delay duration in the processing process of the corresponding sub-link, and respectively marking the adjacent interval duration of each sub-link in the production cycle of the analysis main body and the delay duration in the processing process of the corresponding sub-link as JGi and YSi; acquiring a transverse period detection coefficient Xi through analysis; comparing the lateral period detection coefficient Xi with a lateral period detection coefficient threshold:
if the transverse cycle detection coefficient Xi exceeds a transverse cycle detection coefficient threshold, judging that the current transverse cycle is abnormal, namely an unqualified production cycle exists, sending the time period corresponding to the production cycle to an operation end, analyzing the production cycle of the corresponding time period by the operation end, and performing mortgage on the corresponding sub-link; and if the transverse period detection coefficient Xi does not exceed the transverse period detection coefficient threshold, judging that the current transverse period has no abnormity, namely, no unqualified production period exists, and then carrying out longitudinal production monitoring.
As a preferred embodiment of the present invention, the longitudinal production monitoring process of the longitudinal production monitoring unit is as follows:
acquiring the average execution time length of the production steps of the analysis subject in the same qualified production period and the repeated operation frequency of the corresponding production steps, and respectively comparing the average execution time length of the production steps of the analysis subject in the same qualified production period and the repeated operation frequency of the corresponding production steps with an average execution time length threshold range and a repeated operation frequency threshold range:
if the average execution time length of the production steps of the analysis main body in the same qualified production period is within the threshold range of the average execution time length and the repeated operation frequency of the corresponding production steps is within the threshold range of the repeated operation frequency, judging that the longitudinal production monitoring is qualified, and judging that the operation of the current analysis main body is qualified by the operation end; and if the average execution time length of the production steps of the analysis main body in the same qualified production period is not in the average execution time length threshold range or the repeated operation frequency of the corresponding production steps is not in the repeated operation frequency threshold range, judging that the longitudinal production monitoring is unqualified, performing longitudinal production rectification according to the real-time abnormal production steps, and performing real-time rectification on the abnormal production steps.
The method is used for a process end as a preferred embodiment of the invention, and the process end comprises a basic management unit, a key management unit and a node management unit;
the management process of the basic management unit is as follows:
collecting the use frequency of the raw material types corresponding to the analysis main body and the storage duration of the raw materials corresponding to the types, and analyzing and managing the use frequency of the raw materials corresponding to the analysis main body and the storage duration of the raw materials corresponding to the types: if the use frequency of the analysis subject corresponding to the raw material type exceeds the use frequency threshold, judging that the raw material of the current type is a common raw material; if the use frequency of the analysis subject corresponding to the raw material type does not exceed the use frequency threshold, judging that the raw material of the current type is an emergency raw material; if the storage time of the corresponding raw materials exceeds the storage time threshold, judging that the raw materials are unqualified to be selected; if the storage time length of the corresponding type of raw materials does not exceed the storage time length threshold value, judging that the raw materials are qualified for selection; when the raw materials used by the analysis main body are common materials and the raw materials are qualified by selection, the basic management of the analysis main body is qualified; otherwise, judging that the basic management of the analysis main body is unqualified, and re-auditing the corresponding raw materials by the process end.
As a preferred embodiment of the present invention, the management process of the key management unit is as follows:
collecting the production flow corresponding to the analysis subject, and marking the production flow with the abnormal frequency exceeding the corresponding abnormal frequency threshold value in the historical production process as an analysis key point; acquiring the analysis key rework frequency and the average time consumption of the corresponding rework in the analysis main body, and respectively comparing the analysis key rework frequency and the average time consumption of the corresponding rework in the analysis main body with the rework frequency and the average time consumption threshold:
if the rework frequency of an analysis key point in the analysis main body exceeds the rework frequency or the average time consumption of the corresponding rework exceeds the average time consumption threshold, judging that the current analysis key point is abnormal in operation, recording the operation process corresponding to the analysis key point and counting corresponding parameters in the operation process; if the rework frequency of the analysis key points in the analysis main body does not exceed the rework frequency and the average time consumption of the corresponding rework does not exceed the average time consumption threshold, judging that the current analysis key points normally operate; if the analysis key points in the current analysis main body all operate normally, the process end judges that the key management is qualified.
As a preferred embodiment of the present invention, the management process of the node management unit is as follows:
the corresponding alternate time points of the production flow of the analysis main body are production nodes, and the production nodes can also be the start and end alternate time points of two production periods; acquiring the average interval duration corresponding to the production nodes in the same production period and the longest consumed time corresponding to the production nodes in the adjacent production period, and comparing the average interval duration corresponding to the production nodes in the same production period and the longest consumed time corresponding to the production nodes in the adjacent production period with a node interval duration threshold value and a longest consumed time threshold value respectively: if the average interval duration corresponding to the production nodes in the same production period does not exceed the node interval duration threshold, and the longest consumed time of the production nodes corresponding to the adjacent production periods does not exceed the longest consumed time threshold, judging that the node management of the analysis subject is qualified; and if the average interval duration corresponding to the production nodes in the same production period exceeds the node interval duration threshold, or the longest consumed time of the production nodes corresponding to the adjacent production periods exceeds the longest consumed time threshold, judging that the node management of the analysis main body is unqualified, and performing mortice on the corresponding production periods and the corresponding production nodes.
The method is used for a result end, and the result end comprises a performance management unit and a backtracking management unit;
the management process of the performance management unit is as follows:
acquiring the qualification rate of the analysis subject corresponding to the analysis subject and the ratio of the rework quantity of the analysis subject to the total quantity, and comparing the qualification rate of the analysis subject corresponding to the analysis subject and the ratio of the rework quantity of the analysis subject to the total quantity with a qualification rate threshold value and a quantity ratio threshold value respectively: if the qualification rate of the analysis subject corresponding to the analysis object exceeds a qualification rate threshold value and the ratio of the rework quantity of the analysis object to the total quantity does not exceed a quantity ratio threshold value, judging that the performance management of the analysis object is qualified; and if the qualification rate of the analysis object corresponding to the analysis main body does not exceed the qualification rate threshold value or the ratio of the rework quantity of the analysis object to the total quantity exceeds the quantity ratio threshold value, judging that the performance management of the analysis object is unqualified, and performing backtracking management.
As a preferred embodiment of the present invention, the management process of the backtracking management unit is as follows:
acquiring abnormal data corresponding to an analysis object of an analysis main body, wherein the abnormal data is represented by a fault part or corresponding performance type data of the analysis object, acquiring production data corresponding to each production flow of the current analysis main body, and the production data is represented by the part or performance type data of the analysis object corresponding to each production flow in the analysis main body; when the production data are abnormal, converting the corresponding production data into abnormal data; and comparing the abnormal data corresponding to the analysis object of the analysis main body with the production data corresponding to each production flow in the analysis main body, marking the production flow corresponding to the production data consistent with the abnormal data as a problem flow, maintaining and optimizing the problem flow, and judging that the quality control of the current analysis main body is qualified by a result end after the problem flow is optimized.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, the analysis main body is subjected to transverse period detection, wherein the transverse period comprises production period links such as design, materials, process, manufacture and customers, the transverse period detection is used for carrying out quality analysis on the corresponding production period, judging whether quality problems exist in the steps in the corresponding production period or not, accurately judging the qualification of the production period, and preventing the abnormal production period from causing unqualified operation of the analysis main body, thereby reducing the management and control efficiency; the method comprises the following steps of carrying out longitudinal production monitoring on an analysis main body, dividing longitudinal production into production steps such as planning, action, statistics and problems, and judging whether the operation process of the current production flow is qualified or not through the longitudinal production monitoring, so that the operation qualification of the production flow is improved, the qualification of the whole-flow operation is indirectly improved, and the production efficiency of enterprises is improved;
2. in the invention, the analysis main body is subjected to basic management, so that the stability of raw materials produced by the analysis main body is ensured, the production efficiency is improved, and the full-process management and control efficiency of the analysis main body is ensured; corresponding analysis key points in the analysis main body are managed, and the process which is easy to have errors is managed, so that the reject ratio of the corresponding process is reduced, the qualified operation efficiency of the analysis main body is ensured, and the reliability of the quality management and control of the whole process is improved; each node in the analysis main body is detected, so that the detection strength of the production flow is improved, the qualification of the production flow is ensured, and the high efficiency of the quality management of the whole flow is enhanced;
3. according to the invention, the quality of the finished products is analyzed, the production efficiency of enterprises is controlled, and the control strength of the whole-flow production is improved; after the performance management is unqualified, the backtracking management unit backtracks and manages the analysis object of the analysis main body, the strength of the full-process management is improved, the accuracy and the efficiency of product maintenance are enhanced, and abnormal data corresponding to the analysis object of the analysis main body are acquired.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a schematic block diagram of a full-flow management and control terminal according to the present invention;
FIG. 2 is a schematic block diagram of an operator of the present invention;
FIG. 3 is a functional block diagram of a process side of the present invention;
FIG. 4 is a schematic block diagram of the result end of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
With the vigorous development of domestic enterprises and the stricter pursuit of customers on quality, the enterprises urgently hope to greatly advance on quality control and establish competitive advantages; however, the quality is deep capability construction, and relates to a plurality of management and statistical knowledge, which is exactly the part of the lack of universality of the enterprise at present;
referring to fig. 1, in an enterprise working process, a full-flow quality control terminal marks a production flow of an enterprise as an analysis subject, generates an operation analysis signal, and sends the operation analysis signal to an operation terminal; after receiving an operation analysis signal sent by the full-flow management and control terminal, the operation end performs operation detection on the analysis main body, namely, the analysis main body performs horizontal period detection and vertical production monitoring, wherein the horizontal period detection indicates that the operation period of the analysis main body is analyzed, and the vertical production detection indicates that the actual production of the analysis main body is monitored;
the operation end completes the transverse period detection and the longitudinal production monitoring, and after the transverse period detection and the longitudinal production monitoring are qualified, the operation end generates a process management signal and sends the process management signal to the process end, and after the process end receives the process management signal sent by the operation end, the process end performs basic management, key management and node management on the analysis main body, wherein the basic management is expressed as basic data management of the analysis main body, and the basic data is expressed as quality data of the analysis main body corresponding to raw materials, such as: the use frequency of the types of raw materials and the storage time of the corresponding types of raw materials; the key management means managing the process in which the failure frequency exceeds the threshold value in the analysis subject, and the node management means managing the connection timing of the adjacent processes in the analysis subject;
the process end completes the basic management, the key management and the node management, if the corresponding management is qualified, a result management signal is generated and sent to the result end, and after the result end receives the result management signal sent by the process end, the analysis main body correspondingly finishes the quality analysis of the produced products, if the quality analysis is qualified, the result end generates a normal signal of the analysis main body and sends the normal signal of the analysis main body to the full-flow management and control terminal, if the quality analysis is unqualified, the analysis subject is subjected to backtracking management, which means that the abnormal data of the produced product is traced back to the corresponding production process of the analysis subject, and the adjustment is carried out according to the corresponding production process, the abnormal data is represented as fault data of the produced product, for example, when the produced product is a cup, if the water content of the cup is less than the rated threshold value, the water content is the abnormal data of the produced product;
example 2
As shown in fig. 2, a systematic software management method based on full-process quality control is used at an operation end, a transverse period detection unit performs transverse period detection on an analysis main body, the transverse period includes production period links such as design, material, process, manufacturing and customers, the transverse period detection performs quality analysis on a corresponding production period, whether quality problems exist in steps in the corresponding production period is judged, the qualification of the production period is accurately judged, and the situation that the operation of the analysis main body is unqualified due to abnormal production period is prevented, so that the control efficiency is reduced is prevented, and the specific transverse period detection process is as follows:
dividing the production cycle of the analysis main body into i sub-links, wherein i is a natural number greater than 1, acquiring adjacent interval duration of each sub-link in the production cycle of the analysis main body and delay duration in the processing process of the corresponding sub-link, and respectively marking the adjacent interval duration of each sub-link in the production cycle of the analysis main body and the delay duration in the processing process of the corresponding sub-link as JGi and YSi; in the application, the delay time length is expressed in the way that the actual operation time length of the corresponding sub-link exceeds the expected operation time length;
by the formula
Acquiring a transverse period detection coefficient Xi, wherein a1 and a2 are preset proportional coefficients, and a1 is more than a2 is more than 0; comparing the lateral period detection coefficient Xi with a lateral period detection coefficient threshold:
if the transverse cycle detection coefficient Xi exceeds a transverse cycle detection coefficient threshold, judging that the current transverse cycle is abnormal, namely an unqualified production cycle exists, sending the time period corresponding to the production cycle to an operation end, analyzing the production cycle of the corresponding time period by the operation end, and performing mortgage on the corresponding sub-link; if the transverse period detection coefficient Xi does not exceed the transverse period detection coefficient threshold, judging that the current transverse period has no abnormity, namely, no unqualified production period exists, and then carrying out longitudinal production monitoring;
the longitudinal production monitoring unit carries out longitudinal production monitoring on the analysis main body, the longitudinal production is divided into production steps such as planning, action, statistics and problems, whether the operation process of the current production flow is qualified or not can be judged through the longitudinal production monitoring, so that the operation qualification of the production flow is improved, the qualification of the whole-flow operation is indirectly improved, the production efficiency of an enterprise is improved, and the specific longitudinal production monitoring process is as follows:
acquiring the average execution time length of the production steps of the analysis subject and the repeated operation frequency of the corresponding production steps in the same qualified production period, and respectively comparing the average execution time length of the production steps of the analysis subject and the repeated operation frequency of the corresponding production steps in the same qualified production period with an average execution time length threshold range and a repeated operation frequency threshold range:
if the average execution time length of the production steps of the analysis main body in the same qualified production period is within the threshold range of the average execution time length and the repeated operation frequency of the corresponding production steps is within the threshold range of the repeated operation frequency, judging that the longitudinal production monitoring is qualified, and judging that the operation of the current analysis main body is qualified by the operation end; if the average execution time length of the production steps of the analysis main body is not in the average execution time length threshold range or the repeated operation frequency of the corresponding production steps is not in the repeated operation frequency threshold range in the same qualified production period, judging that the longitudinal production monitoring is unqualified, performing longitudinal production leveling according to the real-time abnormal production steps, and performing real-time leveling on the abnormal production steps;
example 3
As shown in fig. 3, a systematic software management method based on full process quality control is used at a process end, where a basic management unit performs basic management on an analysis subject, acquires usage frequency of a type of raw material corresponding to the analysis subject and storage duration of the type of raw material corresponding to the analysis subject, and performs analysis management on the usage frequency of the type of raw material corresponding to the analysis subject and storage duration of the type of raw material corresponding to the analysis subject: if the use frequency of the analysis subject corresponding to the raw material type exceeds the use frequency threshold, judging that the raw material of the current type is a common raw material; if the use frequency of the analysis subject corresponding to the raw material type does not exceed the use frequency threshold, judging that the raw material of the current type is an emergency raw material; if the storage time of the corresponding raw materials exceeds the storage time threshold, judging that the raw materials are unqualified to be selected; if the storage time of the corresponding raw materials does not exceed the storage time threshold, judging that the raw materials are qualified for selection; when the raw materials used by the analysis main body are common materials and the raw materials are qualified by selection, the basic management of the analysis main body is qualified; otherwise, judging that the basic management of the analysis main body is unqualified, rechecking the corresponding raw materials by the process end, and performing basic management on the analysis main body to ensure the stability of the raw materials produced by the analysis main body, improve the production efficiency and ensure the full-flow management and control efficiency of the analysis main body;
after the basic management is qualified, the key management unit performs key management on the analysis main body, collects the production flow corresponding to the analysis main body, and marks the production flow with the abnormal frequency exceeding the corresponding abnormal frequency threshold value in the historical production process as an analysis key; acquiring the analysis key rework frequency and the average time consumption of the corresponding rework in the analysis main body, and respectively comparing the analysis key rework frequency and the average time consumption of the corresponding rework in the analysis main body with the rework frequency and the average time consumption threshold:
if the rework frequency of an analysis key point in the analysis main body exceeds the rework frequency or the average time consumption of the corresponding rework exceeds the average time consumption threshold, judging that the current analysis key point is abnormal in operation, recording the operation process corresponding to the analysis key point and counting corresponding parameters in the operation process; if the rework frequency of the analysis key points in the analysis main body does not exceed the rework frequency and the average time consumption of the corresponding rework does not exceed the average time consumption threshold, judging that the current analysis key points normally operate; if the analysis key points in the current analysis main body all operate normally, the process end judges that the key point management is qualified; corresponding analysis key points in the analysis main body are managed, and the process which is easy to have errors is managed, so that the reject ratio of the corresponding process is reduced, the qualified operation efficiency of the analysis main body is ensured, and the reliability of the quality management and control of the whole process is improved;
after the terminal management is qualified, the node management unit performs node management on the corresponding analysis main body, the corresponding alternate time point of the production flow of the analysis main body is taken as a production node, and the production node can also be the start and end alternate time points of two production periods; acquiring the average interval duration corresponding to the production nodes in the same production period and the longest consumed time corresponding to the production nodes in the adjacent production period, and comparing the average interval duration corresponding to the production nodes in the same production period and the longest consumed time corresponding to the production nodes in the adjacent production period with a node interval duration threshold value and a longest consumed time threshold value respectively:
if the average interval duration corresponding to the production nodes in the same production period does not exceed the node interval duration threshold, and the longest consumed time of the production nodes corresponding to the adjacent production periods does not exceed the longest consumed time threshold, judging that the node management of the analysis subject is qualified; if the average interval duration corresponding to the production nodes in the same production period exceeds the node interval duration threshold, or the longest consumed time of the production nodes corresponding to the adjacent production periods exceeds the longest consumed time threshold, judging that the node management of the analysis main body is unqualified, and performing mortice on the corresponding production periods and the corresponding production nodes; each node in the analysis main body is detected, so that the detection strength of the production flow is improved, the qualification of the production flow is ensured, and the high efficiency of the quality management of the whole flow is enhanced;
example 4
As shown in fig. 4, a systematic software management method based on full-process quality control is used at a result end, when the method is used at an operation end and a process end, the result end performs performance management and backtracking management on a product which is produced by a corresponding analysis subject, a performance management unit marks the product which is produced by the analysis subject as an analysis object, acquires the qualification rate of the analysis subject corresponding to the analysis object and the ratio of the rework quantity of the analysis object to the total quantity, and compares the qualification rate of the analysis subject corresponding to the analysis object and the ratio of the rework quantity of the analysis object to the total quantity with a qualification rate threshold and a quantity ratio threshold respectively:
if the qualification rate of the analysis subject corresponding to the analysis object exceeds a qualification rate threshold value and the ratio of the rework quantity of the analysis object to the total quantity does not exceed a quantity ratio threshold value, judging that the performance management of the analysis object is qualified; if the qualification rate of the analysis object corresponding to the analysis main body does not exceed the qualification rate threshold value, or the ratio of the rework quantity of the analysis object to the total quantity exceeds the quantity ratio threshold value, judging that the performance management of the analysis object is unqualified, and performing backtracking management; the quality of the finished products is analyzed, the production efficiency of enterprises is controlled, and meanwhile, the strength of full-flow production control is improved;
after the performance management is unqualified, the backtracking management unit performs backtracking management on an analysis object of the analysis main body, so that the strength of full-process management is improved, the accuracy and the efficiency of product maintenance are enhanced, abnormal data corresponding to the analysis object of the analysis main body are acquired, the abnormal data are expressed as the failed part or the corresponding performance type data of the analysis object, the performance type data comprise performance data of various types such as weight, bearing temperature and the like, production data corresponding to each production process of the current analysis main body are acquired, and the production data are expressed as the corresponding part or the corresponding performance type data of the analysis object of each production process in the analysis main body; when the production data are abnormal, the corresponding production data are converted into abnormal data;
and comparing the abnormal data corresponding to the analysis object of the analysis main body with the production data corresponding to each production flow in the analysis main body, marking the production flow corresponding to the production data consistent with the abnormal data as a problem flow, maintaining and optimizing the problem flow, and judging that the quality control of the current analysis main body is qualified by the result end after the problem flow is optimized.
The formulas are obtained by acquiring a large amount of data and performing software simulation, and the coefficients in the formulas are set by the technicians in the field according to actual conditions;
when the system is used, the full-flow management and control terminal generates an operation analysis signal and sends the operation analysis signal to an operation terminal; after receiving an operation analysis signal sent by the full-flow management and control terminal, the operator performs operation detection on the analysis main body, namely the analysis main body performs transverse periodic detection and longitudinal production monitoring; the operation end completes transverse period detection and longitudinal production monitoring, and generates and sends a process management signal to the process end after the transverse period detection and the longitudinal production monitoring are qualified; after receiving a process management signal sent by an operation end, the process end performs basic management, key management and node management on the analysis main body; the process end completes basic management, key management and node management, and if the corresponding management is qualified, a result management signal is generated and sent to the result end; and after the result end receives the result management signal sent by the process end, the analysis main body correspondingly completes the quality analysis of the produced products, if the quality analysis is qualified, the result end generates a normal signal of the analysis main body and sends the normal signal of the analysis main body to the full-flow management and control terminal, and if the quality analysis is unqualified, the analysis main body is subjected to backtracking management.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (8)
1. A systematic software management method based on full-process quality control is characterized by comprising the following steps:
the full-flow management and control terminal marks the production flow of the enterprise as an analysis main body, generates an operation analysis signal and sends the operation analysis signal to an operation end;
after receiving an operation analysis signal sent by the full-flow management and control terminal, the operator performs operation detection on the analysis main body, namely the analysis main body performs transverse periodic detection and longitudinal production monitoring; the operation end completes transverse period detection and longitudinal production monitoring, and generates and sends a process management signal to the process end after the transverse period detection and the longitudinal production monitoring are qualified;
after receiving a process management signal sent by an operation end, the process end performs basic management, key management and node management on the analysis main body; the process end completes basic management, key management and node management, and if the corresponding management is qualified, a result management signal is generated and sent to the result end;
and after the result end receives the result management signal sent by the process end, the analysis main body correspondingly completes the quality analysis of the produced products, if the quality analysis is qualified, the result end generates a normal signal of the analysis main body and sends the normal signal of the analysis main body to the full-flow management and control terminal, and if the quality analysis is unqualified, the analysis main body is subjected to backtracking management.
2. The systematic software management method based on the whole process quality management and control of claim 1 is used for an operation end, and the operation end comprises a transverse period detection unit and a longitudinal production monitoring unit;
the transverse cycle detection process of the transverse cycle detection unit is as follows:
dividing the production period of the analysis main body into i sub-links, wherein i is a natural number greater than 1, acquiring adjacent interval duration of each sub-link in the production period of the analysis main body and delay duration in the processing process of the corresponding sub-link, and respectively marking the adjacent interval duration of each sub-link in the production period of the analysis main body and the delay duration in the processing process of the corresponding sub-link as JGi and YSi; acquiring a transverse period detection coefficient Xi through analysis; comparing the lateral period detection coefficient Xi with a lateral period detection coefficient threshold:
if the transverse cycle detection coefficient Xi exceeds a transverse cycle detection coefficient threshold, judging that the current transverse cycle is abnormal, namely an unqualified production cycle exists, sending the time period corresponding to the production cycle to an operation end, analyzing the production cycle of the corresponding time period by the operation end, and performing mortgage on the corresponding sub-link; and if the transverse period detection coefficient Xi does not exceed the transverse period detection coefficient threshold, judging that the current transverse period has no abnormity, namely, no unqualified production period exists, and then carrying out longitudinal production monitoring.
3. The systematic software management method based on the full-process quality control according to claim 2, wherein the vertical production monitoring process of the vertical production monitoring unit is as follows:
acquiring the average execution time length of the production steps of the analysis subject and the repeated operation frequency of the corresponding production steps in the same qualified production period, and respectively comparing the average execution time length of the production steps of the analysis subject and the repeated operation frequency of the corresponding production steps in the same qualified production period with an average execution time length threshold range and a repeated operation frequency threshold range:
if the average execution time length of the production steps of the analysis main body in the same qualified production period is within the threshold range of the average execution time length and the repeated operation frequency of the corresponding production steps is within the threshold range of the repeated operation frequency, judging that the longitudinal production monitoring is qualified, and judging that the operation of the current analysis main body is qualified by the operation end; and if the average execution time length of the production steps of the analysis main body is not in the average execution time length threshold range or the repeated operation frequency of the corresponding production steps is not in the repeated operation frequency threshold range in the same qualified production period, judging that the longitudinal production monitoring is unqualified, performing longitudinal production leveling according to the real-time abnormal production steps, and performing real-time leveling on the abnormal production steps.
4. The systematic software management method based on full flow quality control according to claim 1, wherein the method is used for a process end, and the process end comprises a basic management unit, a key management unit and a node management unit;
the management process of the basic management unit is as follows:
the method comprises the following steps of collecting the use frequency of the corresponding raw material types of the analysis main body and the storage duration of the corresponding raw materials, and analyzing and managing the use frequency of the corresponding raw material types of the analysis main body and the storage duration of the corresponding raw materials: if the use frequency of the analysis subject corresponding to the raw material type exceeds the use frequency threshold, judging that the raw material of the current type is a common raw material; if the use frequency of the analysis subject corresponding to the raw material type does not exceed the use frequency threshold, judging that the raw material of the current type is an emergency raw material; if the storage time of the corresponding raw materials exceeds the storage time threshold, judging that the raw materials are unqualified to be selected; if the storage time of the corresponding raw materials does not exceed the storage time threshold, judging that the raw materials are qualified for selection; when the raw materials used by the analysis main body are common materials and the raw materials are qualified by selection, the basic management of the analysis main body is qualified; otherwise, judging that the basic management of the analysis subject is unqualified, and re-examining the corresponding raw materials by the process end.
5. The systematic software management method based on full-process quality control according to claim 4, wherein the management process of the key management unit is as follows:
collecting the production flow corresponding to the analysis subject, and marking the production flow with the abnormal frequency exceeding the corresponding abnormal frequency threshold value in the historical production process as an analysis key point; acquiring the analysis key rework frequency and the average time consumption of the corresponding rework in the analysis main body, and respectively comparing the analysis key rework frequency and the average time consumption of the corresponding rework in the analysis main body with the rework frequency and the average time consumption threshold:
if the rework frequency of an analysis key point in the analysis main body exceeds the rework frequency or the average time consumption of the corresponding rework exceeds the average time consumption threshold, judging that the current analysis key point is abnormal in operation, recording the operation process corresponding to the analysis key point and counting corresponding parameters in the operation process; if the rework frequency of the analysis key points in the analysis main body does not exceed the rework frequency and the average time consumption of the corresponding rework does not exceed the average time consumption threshold value, judging that the current analysis key points normally operate; and if the analysis key points in the current analysis main body all operate normally, the process end judges that the key management is qualified.
6. The systematic software management method based on full flow quality control according to claim 4, wherein the management process of the node management unit is as follows:
the corresponding alternate time points of the production flow of the analysis main body are production nodes, and the production nodes can also be the start and end alternate time points of two production periods; acquiring the average interval duration corresponding to the production nodes in the same production period and the longest consumed time corresponding to the production nodes in the adjacent production period, and comparing the average interval duration corresponding to the production nodes in the same production period and the longest consumed time corresponding to the production nodes in the adjacent production period with a node interval duration threshold value and a longest consumed time threshold value respectively: if the average interval duration corresponding to the production nodes in the same production period does not exceed the node interval duration threshold, and the longest consumed time of the production nodes corresponding to the adjacent production periods does not exceed the longest consumed time threshold, judging that the node management of the analysis subject is qualified; and if the average interval duration corresponding to the production nodes in the same production period exceeds the node interval duration threshold, or the longest consumed time of the production nodes corresponding to the adjacent production periods exceeds the longest consumed time threshold, judging that the node management of the analysis main body is unqualified, and performing mortice on the corresponding production periods and the corresponding production nodes.
7. The systematic software management method based on the whole process quality control according to claim 1 is used for a result end, wherein the result end comprises a performance management unit and a backtracking management unit;
the management process of the performance management unit is as follows:
acquiring the qualification rate of the analysis subject corresponding to the analysis subject and the ratio of the rework quantity of the analysis subject to the total quantity, and comparing the qualification rate of the analysis subject corresponding to the analysis subject and the ratio of the rework quantity of the analysis subject to the total quantity with a qualification rate threshold value and a quantity ratio threshold value respectively: if the qualification rate of the analysis subject corresponding to the analysis object exceeds a qualification rate threshold value and the ratio of the rework quantity of the analysis object to the total quantity does not exceed a quantity ratio threshold value, judging that the performance management of the analysis object is qualified; and if the qualification rate of the analysis object corresponding to the analysis main body does not exceed the qualification rate threshold value or the ratio of the rework quantity of the analysis object to the total quantity exceeds the quantity ratio threshold value, judging that the performance management of the analysis object is unqualified, and performing backtracking management.
8. The systematic software management method based on full-process quality control according to claim 7, wherein the management process of the backtracking management unit is as follows:
acquiring abnormal data corresponding to an analysis object of an analysis main body, wherein the abnormal data is represented by a part with a fault or corresponding performance type data of the analysis object, acquiring production data corresponding to each production flow of the current analysis main body, and the production data is represented by the part or the performance type data of each production flow corresponding to the analysis object in the analysis main body; when the production data are abnormal, converting the corresponding production data into abnormal data; and comparing the abnormal data corresponding to the analysis object of the analysis main body with the production data corresponding to each production flow in the analysis main body, marking the production flow corresponding to the production data consistent with the abnormal data as a problem flow, maintaining and optimizing the problem flow, and judging that the quality control of the current analysis main body is qualified by a result end after the problem flow is optimized.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115131038A (en) * | 2022-07-06 | 2022-09-30 | 青岛数普智能互联科技有限公司 | Food safety tracing method and device and storage medium |
| CN115545495A (en) * | 2022-10-13 | 2022-12-30 | 武汉彤新科技有限公司 | Intelligent analysis system for service requirements of medium and small enterprises |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115131038A (en) * | 2022-07-06 | 2022-09-30 | 青岛数普智能互联科技有限公司 | Food safety tracing method and device and storage medium |
| CN115545495A (en) * | 2022-10-13 | 2022-12-30 | 武汉彤新科技有限公司 | Intelligent analysis system for service requirements of medium and small enterprises |
| CN115545495B (en) * | 2022-10-13 | 2023-06-27 | 武汉彤新科技有限公司 | Intelligent analysis system for service requirements of small and medium enterprises |
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