CN113723713B - Micro-service green manufacturing customer management system and method - Google Patents
Micro-service green manufacturing customer management system and method Download PDFInfo
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Abstract
The invention discloses a customer management system and a customer management method for micro-service green manufacturing.A project information calibration module carries out optimization calibration on each stage time in a project, wherein the optimization calibration comprises self historical data calibration and industry data calibration, and the self historical data calibration processes historical project information acquired by a project information acquisition module; the industry data calibration is realized by analyzing the project information of all customers in the database form to which the customer belongs, which is acquired by the project information acquisition module. Aiming at enterprise customers meeting green manufacturing conditions, the invention adopts the micro-service technology, and the mode is simple to develop and has high efficiency; in the process of managing the client, the invention can optimize the time formulated by each stage of the current project of the client according to the historical project information of the client and the project information of the same industry, so that the project time arrangement is more reasonable and scientific, and the execution effect of the project is further improved.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a micro-service green manufacturing customer management system and a micro-service green manufacturing customer management method.
Background
With the continuous and deep understanding of concepts such as low carbon and sustainable development, the environmental protection meaning of people is continuously strengthened, and similarly, the concept of green manufacturing is gradually strengthened for enterprises, and the aim is to minimize the influence on the environment, maximize the resource utilization rate and continuously optimize the economic benefit and the social benefit of the enterprises in the whole life cycle of products from design, manufacture, packaging, transportation, use to scrapping treatment.
The micro-service has the characteristics of easiness in development, modification and maintenance, and is gradually received and used by people in the current society, so that aiming at enterprise customers meeting green manufacturing conditions, when the customers are managed, the development, modification and maintenance difficulty of the system can be effectively reduced by adopting the micro-service technology, and the management of the system to the customers is effectively improved.
In the existing customer management system, on one hand, the interrelation among customers is managed, and on the other hand, specific data in a customer project is counted, so that the customer is managed; however, in the prior art, the optimization calibration of each stage time of the customer project cannot be realized according to the specific data of the industry project.
In view of the above, there is a need for a system and method for customer management of green manufacturing of microservice.
Disclosure of Invention
The present invention is directed to a system and a method for customer management for green manufacturing of micro services, so as to solve the problems mentioned in the background art.
In order to solve the technical problems, the invention provides the following technical scheme: a microservice green manufacturing customer management system comprising:
the data transmission module is used for carrying out data transmission and data exchange with the client through the micro-service control server;
the client management module is used for managing the information of each client;
the project management module manages each project information corresponding to each client;
the project management module comprises a project information acquisition module, a project information calibration module and a project supervision module,
the project information acquisition module is used for acquiring the information of each project corresponding to each customer,
the project information calibration module is used for analyzing each stage time of a project formulated by a client in the project and carrying out optimization calibration on each stage time in the project;
and the project supervision module supervises the time actually corresponding to each stage of the project of the client by taking the optimized and calibrated time of each stage of the project as a standard, and gives an alarm according to the abnormal condition.
The invention realizes the management of each client and the corresponding project through the cooperative cooperation of each module, optimizes and calibrates the time formulated in each stage in the client project by collecting the information of the client project, helps the client scientifically and reasonably plan the time of each stage of the project, and further improves the execution effect of the project.
Furthermore, the data transmission module connects the server side and the client side through the micro service, the client side collects client information and corresponding project information and transmits the collected data to the server side through the micro service, and the server side analyzes and processes the received data and presents the processing result to the client side through the micro service.
The data transmission module realizes information exchange between the server and the client by using the micro-service technology, so that a loosely-coupled relation is formed between the data transmission function and other functions in the system, namely the data transmission function is independent relative to other functions, the development, modification and maintenance are simple, and the burden of developers can be greatly reduced.
Further, when managing the customer information, the customer management module acquires the operation range information of the enterprise to which the customer belongs, divides the customer into different categories through the same part of the operation range information as the preset information,
the same customer may belong to a number of different categories at the same time,
and the customer management module stores different types of customers into different database forms respectively.
According to the invention, all the targeted customers in the customer management module are enterprise customers meeting the green manufacturing conditions, or enterprise customers not meeting the green manufacturing conditions can be included, but when the customers do not meet the green manufacturing conditions, the enterprises meeting the green manufacturing conditions and the enterprises not meeting the green manufacturing conditions need to be further distinguished and respectively managed; the method comprises the steps of dividing customers into different categories according to different operation ranges, wherein due to enterprises in different operation ranges, time of corresponding projects may have large difference, so that the customers in the same range are stored in the same database form for independent management, the customer project data in the same database form can play a reference role in the project data of the customers, and meanwhile, because the customers in the same database form are in the same industry, scientific and reasonable project data of the industry can be analyzed according to the project data in the same industry, so that the optimization and calibration of each stage time of the project play an important reference role, and the result after the optimization and calibration is more accurate and reasonable.
Further, the content of the item information collection of each item corresponding to each client by the item information collection module includes: the current item information and the historical item information,
the current project information is the stage times t1 established in the project currently being executed or not executed,
the history item information includes the adjustment time t2 of each stage in the item which has been finished, the number of items n1 corresponding to each stage of time adjustment, the total number of items n2 of the existing stage time adjustment, the number of history items n3 and the total number of stages of items n4,
the stage adjusting time t2 is the difference between the actual corresponding time of each stage and the time established by the client of the corresponding stage;
meanwhile, the project information acquisition module also acquires the project information of all the customers in the database form to which the customer belongs,
when the client belongs to a plurality of database forms at the same time, the project information of all clients in each database form to which the client belongs is collected respectively, and the collected information in each database form is stored respectively,
the content of collecting the project information of all the clients in the database form to which the client belongs comprises the following steps: the making time t3 of each stage in the project corresponding to each client, the number m1 of the clients and the number m2 of the project corresponding to each client are set in the same database form.
The project information acquisition module acquires current project information to obtain each stage time set by the customer for the project, acquires historical project information to obtain the setting and calibration conditions of each stage time in the historical project of the customer, and finds the rule between the setting time and the calibration time of the customer to play an important reference role in the calibration of each stage time of a subsequent project; the acquisition t2 is to acquire the calibration time of the corresponding stage when the client calibrates the project each time, and find out the corresponding rule as the calibration time of the corresponding stage of the project to be used as a reference; the project information of all the customers in the database form to which the customer belongs is acquired in order to comprehensively consider the time corresponding to each stage when the industry formulates the project, and then the time of each stage of the project of the customer is normalized according to the industry standard, so that the time of each stage of the project of the customer is more reasonable, and the execution effect of the project is better.
Further, the project information calibration module carries out optimization calibration on each stage time in the project, including self historical data calibration and industry data calibration,
the self historical data calibration is to process the historical project information acquired by the project information acquisition module to obtain a self historical data deviation coefficient Q1 corresponding to each stage in the project;
the industry data calibration obtains the industry data deviation coefficient Q2 corresponding to each stage in the project by analyzing the project information of all the customers in the database form to which the customer belongs, which is acquired by the project information acquisition module.
The project information calibration module realizes the optimization calibration of each stage time of the project from the two aspects of self historical data calibration and industry data calibration, analyzes five factors of each stage adjustment time t2 in the project which is finished, the number n1 of projects corresponding to each stage of time adjustment, the total number n2 of projects with stage time adjustment, the number n3 of historical projects and the total stage number n4 of projects in the self historical data calibration, analyzes the deviation between the project making time and the calibrated data in the historical project of the client, obtains the self historical data deviation coefficient Q1 corresponding to each stage in the project according to the project making habit of the client, and further solves the influence of the self factors of the client on the final optimization calibration result of the project; in the industrial data calibration, the average corresponding time of each stage in the industrial project is realized by three factors of the set time t3 of each stage in each project corresponding to each customer, the number m1 of the customers and the number m2 of each project corresponding to each customer in the same database form, the average corresponding time of each stage in the industrial project is used as a reference standard to be compared with t1, the difference between the standard and the project is judged, the project is calibrated through the standard, the deviation coefficient Q2 of the industrial data corresponding to each stage in the project is obtained, and the influence of the industrial factors on the final optimized calibration result of the project is further solved.
Further, the method for obtaining the self-history data deviation coefficient Q1 corresponding to each stage in the project comprises the following steps:
s1.1, acquiring t2, n1, n2, n3 and n4 in history item information corresponding to the client;
s1.2, calculating the average adjustment time a1 corresponding to each stage in the history item of the client
Said
A t2 value corresponding to the j stage of the ith item in the client history item is shown;
s1.3, calculating the average adjustment time a2 corresponding to all stages in the client history item,
the above-mentioned
；
S1.4, obtaining self history data deviation coefficients Q1 corresponding to each stage in the project through a1 and a2,
the above-mentioned
。
In the process of obtaining Q1, t2 corresponding to the same stage of each item in the history item in the process of obtaining a1 is accumulated in order to obtain the actual corresponding time and corresponding phase of each item in the history itemThe sum of the differences of the time established by the stage client, namely the total calibration value of the stage in the history item, but the obtained result is divided by n1 instead of n3, because the time of the stage in the history item changes by only n1, and the time corresponding to the average calibration of the stage in the history item can be obtained by dividing by n 1; in the process of finding a2, the reason is that
Only the total calibration value of one stage in the history item can be obtained, so that the total calibration values of the stage corresponding to n4 stages are accumulated to obtain the total calibration values corresponding to all the stages in the history item, and the total calibration values are divided by n2 instead of the number n3 of the history items because the total number of the items with the stage time adjustment is only n2, so that the time corresponding to the average calibration primary item in the history item can be accurately obtained by dividing the obtained result by n 2; the absolute values of a1 and a2 are determined because a1 and a2 are uncertain, and both can be positive or negative, so that the absolute value of a2 is divided by n4 to obtain the absolute value of the time of calibration at each stage of the average calibration of the historical item once, and the absolute value is determined
The method is to calculate a ratio coefficient between the absolute value of the total calibration value of one stage in the history item and the absolute value of the time of calibrating each stage of the calibration once item in the history item, and multiply the obtained ratio coefficient by a1, so as to calibrate a1 and further obtain corresponding Q1.
Further, the method for obtaining the industry data deviation coefficient Q2 corresponding to each stage in the project comprises the following steps:
s2.1, acquiring the contents t3, m1 and m2 of the project information acquisition module for acquiring the project information of all the clients in the same database form to which the client belongs;
s2.2, in the same stage of the project, calculating the difference value of t3 corresponding to the data acquired in S2.1 and t1 corresponding to the current project information, accumulating the obtained difference values and solving the average value to obtain the difference value of the corresponding t1 in the industry projectMean deviation value of phase time b1, said
，
The above-mentioned
The p-th stage time t3 in the k 2-th item representing the k 1-th customer in the database form,
the above-mentioned
Represents the p stage time t1 established in the current project;
s2.3, acquiring average deviation values of time of each stage in corresponding industry projects in different database forms to which the customer belongs according to the content in the S2.2;
and S2.4, calculating the average value of b1 corresponding to different database forms to which the client belongs in the same stage of the project to obtain the industry data deviation coefficient corresponding to the stage in the project, and further obtain the industry data deviation coefficient Q2 corresponding to each stage in the project.
In the process of obtaining Q2, m2 is multiplied by m3, so that the total number of items corresponding to all clients in the same database form is calculated, and the calculation is carried out
In order to obtain the sum of the difference value of the p-th stage time t3 of each project in the k2 projects corresponding to the k 1-th customer and the p-th stage time t1 corresponding to the current project, and further, b1 is the difference value between the average time of the p-th stage in m1 m2 projects in the industry project and the p-th stage time t1 established by the current project; considering the problem of the business scope of the client, a client may be divided into different categories at the same time, so that different b1 values correspond to the same project stage in different categories, and therefore, the average value of b1 corresponding to different database forms to which the client belongs is calculated to comprehensively consider different categories to which the client belongs, so as to obtain Q2 taking account of the business scope factor of the client.
Further, after the project information calibration module obtains the self historical data deviation coefficient Q1 corresponding to each stage in the project and the industry data deviation coefficient Q2 corresponding to each stage in the project, the project information calibration module optimizes and calibrates each stage time in the project by combining each stage time t1 set for the project which is currently executed or not executed by the current project information,
the method for optimizing and calibrating the time of each stage of the project comprises the following steps:
s3.1, acquiring the category corresponding to the client to which the project belongs in the client management module;
s3.2, comparing the categories acquired in the S3.1 with a comparison database to obtain the weight bias values r1 corresponding to the corresponding categories,
when there are a plurality of the weight values r1 corresponding to the item, the average value of the obtained weight values r1 is obtained to obtain the final weight value r corresponding to the item,
when the weight bias value r1 corresponding to the item is one, then r1 is the final weight bias value r;
s3.3, calculating the product of the corresponding Q1 and r and the product of the corresponding Q2 and 1-r in the same stage of the project, and adding the two products to obtain the sum which is the calibration quantity of the corresponding time of the stage of the project;
and S3.4, adding the calibration quantity of the time corresponding to the stage of the item obtained in the S3.3 with T1 corresponding to the stage of the item to obtain the optimized calibrated time T of the item at the stage.
In the process of optimizing and calibrating the time of each stage of the project, the reason that the corresponding bias values are matched through the categories corresponding to the clients is that the corresponding emphasis points of different industries are different, some industries are mature, the time established at each stage of the project is stable, the corresponding r1 is small, and otherwise, the r1 is large; in obtaining r, the average value of r1 is required because one category corresponds to one r1, but some customers simultaneously correspond to a plurality of categories, so the overall consideration is required, and the result obtained by averaging is more stable.
Further, the project supervision module acquires the difference value between the actual corresponding time of each stage of the project and the time after the stage is calibrated and optimized in real time,
when the obtained difference value is less than or equal to a first threshold value, judging that the execution condition of the item is normal;
and when the obtained difference is larger than a first threshold value, judging that the execution condition of the project is abnormal, and alarming to the client to which the project belongs.
The project supervision module judges the execution condition of the project according to the difference value between the time actually corresponding to each stage of the project and the time after the stage is calibrated and optimized, compares the obtained difference value with a first threshold value, and when the obtained difference value is larger than the first threshold value, indicates that the time actually corresponding to the stage is still within the error range, so that the project execution is judged to be normal at the moment; and when the obtained difference is larger than the first threshold, the time corresponding to the stage time is close to or even exceeds the calibrated time, so that a client needs to be reminded in an alarm mode to enhance the execution efficiency of the stage of the project and ensure the normal execution of the project according to a plan.
A microservice green manufacturing customer management method, the method comprising the steps of:
s1, in the data transmission module, data transmission and data exchange are carried out between the micro service control server and the client;
s2, managing the information of each client through a client management module;
s3, in the project information collecting module, collecting the information of each project corresponding to each client,
s4, analyzing the stage time of the project formulated by the client in the project through the project information calibration module, and performing optimization calibration on the stage time in the project;
and S5, in the project supervision module, supervising the time actually corresponding to each stage of the project of the client by taking the optimized and calibrated time of each stage of the project as a standard, and alarming according to the abnormal condition.
Compared with the prior art, the invention has the following beneficial effects: aiming at enterprise customers meeting green manufacturing conditions, the invention adopts the micro-service technology to realize data communication between the server and the client, and the method has simple development and high efficiency, can effectively reduce the development difficulty of the system and is convenient for system maintenance; in the process of managing the client, the invention can optimize the time formulated by each stage of the current project of the client according to the historical project information of the client and the project information of the same industry, so that the project time arrangement is more reasonable and scientific, and the execution effect of the project is further improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic diagram of a customer management system for micro-services green manufacturing according to the present invention;
FIG. 2 is a schematic flow chart of a method for obtaining a deviation factor Q1 of historical data of each stage in the project in the customer management system for green manufacture of microservice according to the present invention;
FIG. 3 is a schematic flow chart of a method for obtaining the deviation coefficient Q2 of the industry data corresponding to each stage in the project in the customer management system for green manufacture of microservice according to the present invention;
FIG. 4 is a flowchart illustrating a method for performing an optimized calibration of the stage time of the project in the customer management system for green manufacturing of microservice according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious 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.
Referring to fig. 1-4, the present invention provides a technical solution: a microservice green manufacturing customer management system comprising:
the data transmission module is used for carrying out data transmission and data exchange with the client through the micro-service control server;
the client management module is used for managing the information of each client;
the project management module manages each project information corresponding to each client;
the project management module comprises a project information acquisition module, a project information calibration module and a project supervision module,
the project information acquisition module is used for acquiring the information of each project corresponding to each customer,
the project information calibration module is used for analyzing each stage time of a project formulated by a client in the project and carrying out optimization calibration on each stage time in the project;
and the project supervision module supervises the time actually corresponding to each stage of the project of the client by taking the optimized and calibrated time of each stage of the project as a standard, and gives an alarm according to the abnormal condition.
The invention realizes the management of each client and the corresponding project through the cooperative cooperation of each module, optimizes and calibrates the time formulated in each stage in the client project by collecting the information of the client project, helps the client scientifically and reasonably plan the time of each stage of the project, and further improves the execution effect of the project.
The data transmission module connects the server side and the client side through the micro-service, the client side collects client information and corresponding project information and transmits the collected data to the server side through the micro-service, and the server side analyzes and processes the received data and presents the processing result to the client side through the micro-service.
The data transmission module realizes information exchange between the server and the client by using the micro-service technology, so that a loosely-coupled relation is formed between the data transmission function and other functions in the system, namely the data transmission function is independent relative to other functions, the development, modification and maintenance are simple, and the burden of developers can be greatly reduced.
The customer management module can acquire the operation range information of the enterprise to which the customer belongs when managing the customer information, and divide the customer into different categories through the same part of the operation range information as the preset information,
the same customer may belong to a number of different categories at the same time,
and the customer management module stores different types of customers into different database forms respectively.
According to the invention, all the targeted customers in the customer management module are enterprise customers meeting the green manufacturing conditions, or enterprise customers not meeting the green manufacturing conditions can be included, but when the customers do not meet the green manufacturing conditions, the enterprises meeting the green manufacturing conditions and the enterprises not meeting the green manufacturing conditions need to be further distinguished and respectively managed; the method comprises the steps of dividing customers into different categories according to different operation ranges, wherein due to enterprises in different operation ranges, time of corresponding projects may have large difference, so that the customers in the same range are stored in the same database form for independent management, the customer project data in the same database form can play a reference role in the project data of the customers, and meanwhile, because the customers in the same database form are in the same industry, scientific and reasonable project data of the industry can be analyzed according to the project data in the same industry, so that the optimization and calibration of each stage time of the project play an important reference role, and the result after the optimization and calibration is more accurate and reasonable.
The item information acquisition module acquires information of each item corresponding to each client, and the acquired content comprises the following contents: the current item information and the historical item information,
the current project information is the stage times t1 established in the project currently being executed or not executed,
the history item information includes the adjustment time t2 of each stage in the item which has been finished, the number of items n1 corresponding to each stage of time adjustment, the total number of items n2 of the existing stage time adjustment, the number of history items n3 and the total number of stages of items n4,
the stage adjusting time t2 is the difference between the actual corresponding time of each stage and the time established by the client of the corresponding stage;
meanwhile, the project information acquisition module also acquires the project information of all the customers in the database form to which the customer belongs,
when the client belongs to a plurality of database forms at the same time, the project information of all clients in each database form to which the client belongs is collected respectively, and the collected information in each database form is stored respectively,
the content of collecting the project information of all the clients in the database form to which the client belongs comprises the following steps: the making time t3 of each stage in the project corresponding to each client, the number m1 of the clients and the number m2 of the project corresponding to each client are set in the same database form.
The project information acquisition module acquires current project information to obtain each stage time set by the customer for the project, acquires historical project information to obtain the setting and calibration conditions of each stage time in the historical project of the customer, and finds the rule between the setting time and the calibration time of the customer to play an important reference role in the calibration of each stage time of a subsequent project; the acquisition t2 is to acquire the calibration time of the corresponding stage when the client calibrates the project each time, and find out the corresponding rule as the calibration time of the corresponding stage of the project to be used as a reference; the project information of all the customers in the database form to which the customer belongs is acquired in order to comprehensively consider the time corresponding to each stage when the industry formulates the project, and then the time of each stage of the project of the customer is normalized according to the industry standard, so that the time of each stage of the project of the customer is more reasonable, and the execution effect of the project is better.
The project information calibration module carries out optimization calibration on each stage time in the project, including self historical data calibration and industry data calibration,
the self historical data calibration is to process the historical project information acquired by the project information acquisition module to obtain a self historical data deviation coefficient Q1 corresponding to each stage in the project;
the industry data calibration obtains the industry data deviation coefficient Q2 corresponding to each stage in the project by analyzing the project information of all the customers in the database form to which the customer belongs, which is acquired by the project information acquisition module.
The project information calibration module realizes the optimization calibration of each stage time of the project from the two aspects of self historical data calibration and industry data calibration, analyzes five factors of each stage adjustment time t2 in the project which is finished, the number n1 of projects corresponding to each stage of time adjustment, the total number n2 of projects with stage time adjustment, the number n3 of historical projects and the total stage number n4 of projects in the self historical data calibration, analyzes the deviation between the project making time and the calibrated data in the historical project of the client, obtains the self historical data deviation coefficient Q1 corresponding to each stage in the project according to the project making habit of the client, and further solves the influence of the self factors of the client on the final optimization calibration result of the project; in the industrial data calibration, the average corresponding time of each stage in the industrial project is realized by three factors of the set time t3 of each stage in each project corresponding to each customer, the number m1 of the customers and the number m2 of each project corresponding to each customer in the same database form, the average corresponding time of each stage in the industrial project is used as a reference standard to be compared with t1, the difference between the standard and the project is judged, the project is calibrated through the standard, the deviation coefficient Q2 of the industrial data corresponding to each stage in the project is obtained, and the influence of the industrial factors on the final optimized calibration result of the project is further solved.
The method for obtaining the self historical data deviation coefficient Q1 corresponding to each stage in the project comprises the following steps:
s1.1, acquiring t2, n1, n2, n3 and n4 in history item information corresponding to the client;
s1.2, calculating the average adjustment time a1 corresponding to each stage in the history item of the client
Said
A t2 value corresponding to the j stage of the ith item in the client history item is shown;
s1.3, calculating the average adjustment time a2 corresponding to all stages in the client history item,
the above-mentioned
；
S1.4, obtaining self history data deviation coefficients Q1 corresponding to each stage in the project through a1 and a2,
the above-mentioned
。
In the process of obtaining Q1, t2 corresponding to the same stage of each item in the history item in the process of obtaining a1 is accumulated in order to obtain the sum of the difference between the time actually corresponding to the stage of each item in the history item and the time established by a client at the corresponding stage, namely the total calibration value of the stage in the history item, but the obtained result is divided by n1 instead of n3, because only n1 items of the history item with the time change at the stage are obtained, and the average calibration time at the stage in the history item can be obtained by dividing by n 1; in the process of finding a2, the reason is that
Only the total calibration value of one stage in the history item can be obtained, so that the total calibration values of the stage corresponding to n4 stages are accumulated to obtain the total calibration values corresponding to all the stages in the history item, and the total calibration values are divided by n2 instead of the number n3 of the history items because the total number of the items with the stage time adjustment is only n2, so that the time corresponding to the average calibration primary item in the history item can be accurately obtained by dividing the obtained result by n 2; the absolute values of a1 and a2 are determined because a1 and a2 are uncertain, and both may be positive or negative, and thus the absolute value of a2 is divided by n4 to obtain the calendarThe absolute value of the time of each stage of calibration is averaged in the primary calibration item in the history item, and the absolute value is calculated
The method is to calculate a ratio coefficient between the absolute value of the total calibration value of one stage in the history item and the absolute value of the time of calibrating each stage of the calibration once item in the history item, and multiply the obtained ratio coefficient by a1, so as to calibrate a1 and further obtain corresponding Q1.
The method for obtaining the industry data deviation coefficient Q2 corresponding to each stage in the project comprises the following steps:
s2.1, acquiring the contents t3, m1 and m2 of the project information acquisition module for acquiring the project information of all the clients in the same database form to which the client belongs;
s2.2, calculating the difference value of t3 corresponding to the data acquired in S2.1 and t1 corresponding to the current project information in the same stage of the project, accumulating the obtained difference values and calculating the average value to obtain the average deviation value b1 of the time of the stage in the industrial project, wherein the average deviation value b1 is the time of the stage in the industrial project
，
The above-mentioned
The p-th stage time t3 in the k 2-th item representing the k 1-th customer in the database form,
the above-mentioned
Represents the p stage time t1 established in the current project;
s2.3, acquiring average deviation values of time of each stage in corresponding industry projects in different database forms to which the customer belongs according to the content in the S2.2;
and S2.4, calculating the average value of b1 corresponding to different database forms to which the client belongs in the same stage of the project to obtain the industry data deviation coefficient corresponding to the stage in the project, and further obtain the industry data deviation coefficient Q2 corresponding to each stage in the project.
In the process of obtaining Q2, m2 is multiplied by m3, so that the total number of items corresponding to all clients in the same database form is calculated, and the calculation is carried out
In order to obtain the sum of the difference value of the p-th stage time t3 of each project in the k2 projects corresponding to the k 1-th customer and the p-th stage time t1 corresponding to the current project, and further, b1 is the difference value between the average time of the p-th stage in m1 m2 projects in the industry project and the p-th stage time t1 established by the current project; considering the problem of the business scope of the client, a client may be divided into different categories at the same time, so that different b1 values correspond to the same project stage in different categories, and therefore, the average value of b1 corresponding to different database forms to which the client belongs is calculated to comprehensively consider different categories to which the client belongs, so as to obtain Q2 taking account of the business scope factor of the client.
The project information calibration module acquires the self historical data deviation coefficient Q1 corresponding to each stage in the project and the industry data deviation coefficient Q2 corresponding to each stage in the project, combines the current project information with each stage time t1 formulated in the project which is currently executed or not executed, performs optimization calibration on each stage time in the project,
the method for optimizing and calibrating the time of each stage of the project comprises the following steps:
s3.1, acquiring the category corresponding to the client to which the project belongs in the client management module;
s3.2, comparing the categories acquired in the S3.1 with a comparison database to obtain the weight bias values r1 corresponding to the corresponding categories,
when there are a plurality of the weight values r1 corresponding to the item, the average value of the obtained weight values r1 is obtained to obtain the final weight value r corresponding to the item,
when the weight bias value r1 corresponding to the item is one, then r1 is the final weight bias value r;
s3.3, calculating the product of the corresponding Q1 and r and the product of the corresponding Q2 and 1-r in the same stage of the project, and adding the two products to obtain the sum which is the calibration quantity of the corresponding time of the stage of the project;
and S3.4, adding the calibration quantity of the time corresponding to the stage of the item obtained in the S3.3 with T1 corresponding to the stage of the item to obtain the optimized calibrated time T of the item at the stage.
In the process of optimizing and calibrating the time of each stage of the project, the reason that the corresponding bias values are matched through the categories corresponding to the clients is that the corresponding emphasis points of different industries are different, some industries are mature, the time established at each stage of the project is stable, the corresponding r1 is small, and otherwise, the r1 is large; in obtaining r, the average value of r1 is required because one category corresponds to one r1, but some customers simultaneously correspond to a plurality of categories, so the overall consideration is required, and the result obtained by averaging is more stable.
The project supervision module acquires the difference value between the actual corresponding time of each stage of the project and the time after the stage is calibrated and optimized in real time,
when the obtained difference value is less than or equal to a first threshold value, judging that the execution condition of the item is normal;
and when the obtained difference is larger than a first threshold value, judging that the execution condition of the project is abnormal, and alarming to the client to which the project belongs.
The project supervision module judges the execution condition of the project according to the difference value between the time actually corresponding to each stage of the project and the time after the stage is calibrated and optimized, compares the obtained difference value with a first threshold value, and when the obtained difference value is larger than the first threshold value, indicates that the time actually corresponding to the stage is still within the error range, so that the project execution is judged to be normal at the moment; and when the obtained difference is larger than the first threshold, the time corresponding to the stage time is close to or even exceeds the calibrated time, so that a client needs to be reminded in an alarm mode to enhance the execution efficiency of the stage of the project and ensure the normal execution of the project according to a plan.
A microservice green manufacturing customer management method, the method comprising the steps of:
s1, in the data transmission module, data transmission and data exchange are carried out between the micro service control server and the client;
s2, managing the information of each client through a client management module;
s3, in the project information collecting module, collecting the information of each project corresponding to each client,
s4, analyzing the stage time of the project formulated by the client in the project through the project information calibration module, and performing optimization calibration on the stage time in the project;
and S5, in the project supervision module, supervising the time actually corresponding to each stage of the project of the client by taking the optimized and calibrated time of each stage of the project as a standard, and alarming according to the abnormal condition.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (6)
1. A microservice green manufacturing customer management system, comprising:
the data transmission module is used for carrying out data transmission and data exchange with the client through the micro-service control server;
the client management module is used for managing the information of each client;
the project management module manages each project information corresponding to each client;
the project management module comprises a project information acquisition module, a project information calibration module and a project supervision module,
the project information acquisition module is used for acquiring the information of each project corresponding to each customer,
the project information calibration module is used for analyzing each stage time of a project formulated by a client in the project and carrying out optimization calibration on each stage time in the project;
the project supervision module supervises the time actually corresponding to each stage of the project of a client by taking the optimized and calibrated time of each stage of the project as a standard, and gives an alarm aiming at abnormal conditions;
the customer management module can acquire the operation range information of the enterprise to which the customer belongs when managing the customer information, and divide the customer into different categories through the same part of the operation range information as the preset information,
the same customer may belong to a number of different categories at the same time,
the customer management module respectively stores different types of customers into different database forms;
the item information acquisition module acquires information of each item corresponding to each client, and the acquired content comprises the following contents: the current item information and the historical item information,
the current project information is the stage times t1 established in the project currently being executed or not executed,
the history item information includes the adjustment time t2 of each stage in the item which has been finished, the number of items n1 corresponding to each stage of time adjustment, the total number of items n2 of the existing stage time adjustment, the number of history items n3 and the total number of stages of items n4,
the stage adjusting time t2 is the difference between the actual corresponding time of each stage and the time established by the client of the corresponding stage;
meanwhile, the project information acquisition module also acquires the project information of all the customers in the database form to which the customer belongs,
when the client belongs to a plurality of database forms at the same time, the project information of all clients in each database form to which the client belongs is collected respectively, and the collected information in each database form is stored respectively,
the content of collecting the project information of all the clients in the database form to which the client belongs comprises the following steps: the method comprises the steps that the set time t3 of each stage in items corresponding to each customer in the same database form, the number m1 of the customers and the number m2 of the items corresponding to each customer are obtained;
the project information calibration module carries out optimization calibration on each stage time in the project, including self historical data calibration and industry data calibration,
the self historical data calibration is to process the historical project information acquired by the project information acquisition module to obtain a self historical data deviation coefficient Q1 corresponding to each stage in the project;
the industry data calibration is to analyze the project information of all the customers in the database form to which the customer belongs, which is acquired by the project information acquisition module, so as to obtain the industry data deviation coefficient Q2 corresponding to each stage in the project;
the project information calibration module acquires the self historical data deviation coefficient Q1 corresponding to each stage in the project and the industry data deviation coefficient Q2 corresponding to each stage in the project, combines the current project information with each stage time t1 formulated in the project which is currently executed or not executed, performs optimization calibration on each stage time in the project,
the method for optimizing and calibrating the time of each stage of the project comprises the following steps:
s3.1, acquiring the category corresponding to the client to which the project belongs in the client management module;
s3.2, comparing the categories acquired in the S3.1 with a comparison database to obtain the weight bias values r1 corresponding to the corresponding categories,
when there are a plurality of the weight values r1 corresponding to the item, the average value of the obtained weight values r1 is obtained to obtain the final weight value r corresponding to the item,
when the weight bias value r1 corresponding to the item is one, then r1 is the final weight bias value r;
s3.3, calculating the product of the corresponding Q1 and r and the product of the corresponding Q2 and 1-r in the same stage of the project, and adding the two products to obtain the sum which is the calibration quantity of the corresponding time of the stage of the project;
and S3.4, adding the calibration quantity of the time corresponding to the stage of the item obtained in the S3.3 with T1 corresponding to the stage of the item to obtain the optimized calibrated time T of the item at the stage.
2. The microservice green-manufacturing customer management system of claim 1, wherein: the data transmission module connects the server side and the client side through the micro-service, the client side collects client information and corresponding project information and transmits the collected data to the server side through the micro-service, and the server side analyzes and processes the received data and presents the processing result to the client side through the micro-service.
3. The microservice green-manufacturing customer management system of claim 1, wherein: the method for obtaining the self historical data deviation coefficient Q1 corresponding to each stage in the project comprises the following steps:
s1.1, acquiring t2, n1, n2, n3 and n4 in history item information corresponding to the client;
s1.2, calculating the average adjustment time a1 corresponding to each stage in the history item of the client
Said
A t2 value corresponding to the j stage of the ith item in the client history item is shown;
s1.3, calculating the average adjustment time a2 corresponding to all stages in the client history item,
the above-mentioned
；
S1.4, obtaining self history data deviation coefficients Q1 corresponding to each stage in the project through a1 and a2,
the above-mentioned
。
4. The microservice green-manufacturing customer management system of claim 1, wherein: the method for obtaining the industry data deviation coefficient Q2 corresponding to each stage in the project comprises the following steps:
s2.1, acquiring the contents t3, m1 and m2 of the project information acquisition module for acquiring the project information of all the clients in the same database form to which the client belongs;
s2.2, calculating the difference value of t3 corresponding to the data acquired in S2.1 and t1 corresponding to the current project information in the same stage of the project, accumulating the obtained difference values and calculating the average value to obtain the average deviation value b1 of the time of the stage in the industrial project, wherein the average deviation value b1 is the time of the stage in the industrial project
，
The above-mentioned
The p-th stage time t3 in the k 2-th item representing the k 1-th customer in the database form,
the above-mentioned
Represents the p stage time t1 established in the current project;
s2.3, acquiring average deviation values of time of each stage in corresponding industry projects in different database forms to which the customer belongs according to the content in the S2.2;
and S2.4, calculating the average value of b1 corresponding to different database forms to which the client belongs in the same stage of the project to obtain the industry data deviation coefficient corresponding to the stage in the project, and further obtain the industry data deviation coefficient Q2 corresponding to each stage in the project.
5. The microservice green-manufacturing customer management system of claim 1, wherein: the project supervision module acquires the difference value between the actual corresponding time of each stage of the project and the time after the stage is calibrated and optimized in real time,
when the obtained difference value is less than or equal to a first threshold value, judging that the execution condition of the item is normal;
and when the obtained difference is larger than a first threshold value, judging that the execution condition of the project is abnormal, and alarming to the client to which the project belongs.
6. The management method of the microservice green-manufacturing customer using the management system of the microservice green-manufacturing customer according to any one of claims 1 to 5, wherein: the method comprises the following steps:
s1, in the data transmission module, data transmission and data exchange are carried out between the micro service control server and the client;
s2, managing the information of each client through a client management module;
s3, in the project information collecting module, collecting the information of each project corresponding to each client,
s4, analyzing the stage time of the project formulated by the client in the project through the project information calibration module, and performing optimization calibration on the stage time in the project;
and S5, in the project supervision module, supervising the time actually corresponding to each stage of the project of the client by taking the optimized and calibrated time of each stage of the project as a standard, and alarming according to the abnormal condition.
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| CN107368978A (en) * | 2017-08-10 | 2017-11-21 | 西安财经学院 | A kind of Green Manufacturing Strategy service of goods quality control system and its method |
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