CN112734178A - Lean man-hour management method, device and storage medium - Google Patents
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Abstract
The invention discloses a lean man-hour management method, which comprises the following steps: collecting original man-hour data; carrying out ETL processing on the original man-hour data to obtain man-hour data; storing the working hour data into a back-end database; the back-end database is a main multi-standby database; and outputting a data result by performing multi-dimensional analysis processing on the man-hour data. A lean man-hour management device and a storage medium are also provided. The lean man-hour management method, the lean man-hour management device and the storage medium provided by the invention have the advantages that the collection of the man-hour original data is realized by opening each data island, the ETL data processing is carried out to obtain the man-hour data, the man-hour data is stored by a main multi-standby distributed database and is subjected to multi-dimensional analysis processing, the man-hour real-time display efficiency is improved, the man-hour processing efficiency is improved by adjusting the man-hour error in time, the abnormal cost accounting error is reduced, the manual counting time consumption is reduced, the large counting error is avoided, the real-time presentation of the dynamic efficiency of the production line.
Description
Technical Field
The present invention relates to the technical field of lean man-hour management, and in particular, to a method, an apparatus, and a storage medium for lean man-hour management.
Background
In a production manufacturing enterprise, a financial department uses financial software, a business department uses ERP software and a production department uses an Andon system, so that the system difference of each department is large and the departments are independent, data of each system cannot be communicated, data islands are caused, and therefore the communication cost based on the data is large, the communication cost depends on texts and manual reports, and the labor management cost is large. In particular, in the aspect of man-hour management, the inaccurate man-hour data statistics and the opacity are caused, so that the difficulty in man-hour management of enterprises is high, and the management cost is high. Therefore, the conventional man-hour management has at least the following problems:
1. the manual work report has many work orders, is miscellaneous, easy to make mistakes and difficult to correct;
2. the time consumption is counted manually, the error of the statistical phase difference is large, and the statistical result is inaccurate;
3. the manual work report of the abnormal work order is not timely, the efficiency is repeatedly checked back, and only the number correction is carried out;
4. the dynamic efficiency of the production line cannot be presented in real time, resulting in efficiency loss.
Disclosure of Invention
The invention provides a lean man-hour management method, a lean man-hour management device and a storage medium, and aims to solve the problems in enterprise man-hour management in the prior art.
In order to achieve the above object, the lean man-hour management method provided by the present invention comprises:
collecting original man-hour data;
carrying out ETL processing on the original man-hour data to obtain man-hour data;
storing the working hour data into a back-end database; the back-end database is a main multi-standby database;
and outputting a data result by performing multi-dimensional analysis processing on the man-hour data.
Further, the collection of the raw data of the working hours comprises the data collection of a system interface and the data collection of a file interface.
Further, the system interface comprises one or more of an ERP system, an Andon system, a barcode tracing system and an attendance system; the file interface includes one or more of a standard capacity table, an assembly schedule table, and a standard human cost table.
Furthermore, the bar code tracing system identifies the staff through the staff card two-dimensional code of the staff, and the collection of the original data of the working hours is realized through the automatic code scanning of the industrial code scanning gun in the production process.
Further, the raw data of the working hours includes one or more of manpower, working hours, production line, time efficiency, plan achievement rate, unfinished work order, abnormal working hours, trial production order, production report and manpower cost.
Further, the ETL processing is to analyze, classify and store the raw man-hour data by using a Python scripting language.
Further, the master multi-backup database comprises a master library and a plurality of slave libraries, wherein the master library realizes data writing operation, and the slave libraries realize data reading operation.
Further, the data result comprises real-time data and report data, and the real-time data comprises real-time monitoring, statistics or viewing data; the report data comprises a data report, a data billboard or data statistics.
Meanwhile, the invention also provides a lean man-hour management device, which comprises a memory and a processor, wherein the memory is stored with a lean man-hour management program capable of running on the processor, and the lean man-hour management program realizes the steps of the lean man-hour management method when being executed by the processor.
Furthermore, the present invention also provides a storage medium which is a computer-readable storage medium having a lean man-hour management program stored thereon, the lean man-hour management program being executable by one or more processors to implement the steps of the lean man-hour management method as described above.
The lean man-hour management method, the lean man-hour management device and the storage medium provided by the invention have the advantages that the collection of the man-hour original data is realized by opening each data island, the man-hour data is obtained by processing the ETL data, and the man-hour data is stored and analyzed and processed in a multi-dimension way through the main multi-standby distributed database, so that the lean man-hour real-time display efficiency is realized, the man-hour processing efficiency is improved by adjusting the man-hour error in time, the abnormal cost accounting error is reduced, the time consumption of manual statistics is reduced, the dilemma caused by large statistical error is avoided, the real-time presentation of the dynamic efficiency of.
Drawings
Fig. 1 is a schematic flow chart illustrating a method for managing beneficial working hours according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an internal structure of a smart man-hour management device according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a lean man-hour management program module in the lean man-hour management apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. 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, an embodiment of the present invention provides a method for managing lean labor hours, including:
step S10: collecting original man-hour data; the acquisition of the man-hour original data comprises the data acquisition of a system interface and the data acquisition of a file interface; the system interface comprises one or more of an ERP system, an Andon system, a barcode tracing system and an attendance system; the file interface comprises one or more of a standard capacity table, an assembly schedule table and a standard labor cost table; the labor hour original data comprises one or more of manpower, labor hour, production line, time efficiency, plan achievement rate, unfinished work order, abnormal labor hour, trial production order, production report and labor cost. Specifically, in a manufacturing enterprise, the man-hour is closely related to the production efficiency, cost accounting, production line capacity, and the like, and the man-hour exists in each system and each department, specifically, in an embodiment of the present invention, the man-hour raw data includes:
manpower: a staff list, attendance number and absence number;
working hours: the total work hours of attendance, the total work hours of attendance and difference data;
production line: planning to start a production line and actually starting the production line;
time efficiency: standard productivity, standard per capita productivity, actual per capita productivity (yield, manpower, working hours), labor efficiency, actual per capita productivity/standard per capita productivity;
plan achievement rate: plan number, completion number, plan achievement rate;
and (4) incomplete work order: the number of work orders, the number of completed work orders;
abnormal working hours: abnormal working hours caused by abnormal human, material, equipment, quality and the like;
trial production order: trial production order information, working hours, manpower and capacity;
and (4) report production: the specific production report forms, the working hours, the manpower data and the productivity data.
The above-mentioned man-hour raw data is dispersed in a plurality of systems, for example:
an Enterprise Resource Planning (ERP) system is used for a business application system required by Enterprise internal management, and mainly refers to core modules such as finance, logistics and human resources;
the Andon system is used for lean production and manufacturing management;
the bar code tracing system is used for identifying the staff through the staff card two-dimensional code of the staff and realizing the collection of the original man-hour data through the automatic code scanning of the industrial code scanning gun in the production process;
the attendance system is used for counting manual work attendance statistics and working hour statistics.
In addition, the file interface comprises a standard productivity table, an assembly schedule table, a standard labor cost table and the like, and data are imported through the file interface.
The ERP system, the Andon system, the bar code tracing system and the attendance system realize automatic acquisition of the original man-hour data through the system interface, assist in data acquisition of the file interface, realize comprehensive acquisition of all data related to the original man-hour data in the enterprise, get through a data isolated island, reduce the communication cost of the data, reduce the dependence on texts and manual reports, reduce the labor force management cost and improve the acquisition efficiency of the original man-hour data.
Step S20: carrying out ETL processing on the original man-hour data to obtain man-hour data; the ETL processing refers to a process of data extraction (Extract), transformation (Transform), and loading (Load), and specifically, the ETL processing is to analyze, classify, and store raw man-hour data using a Python scripting language. Specifically, in an embodiment of the present invention, ETL processing is performed on the raw man-hour data of each system, and data with different attributes, such as orders, work orders, production data, attendance, and man-hour data, are filed and classified according to actual business logic, specifically, a VUE framework is used at the front end, and a Spring-Boot framework is used at the back end, so as to achieve separation of the front end and the back end, thereby achieving the effects of reducing system coupling and improving system independence, and the ETL processing is performed by analyzing, classifying, and storing the raw man-hour data by using a Python script language.
Step S30: storing the working hour data into a back-end database; the back-end database is a main multi-standby database; specifically, in an embodiment of the present invention, the man-hour data obtained after the ETL processing is stored in a back-end database, the back-end database uses a MySql one-Master-multi-standby storage mode, the Master library Master mainly implements data writing operation, and the data reading operation is performed in the Slave library Slave. Because the main operation of the system is data reading, the distributed database building mode can greatly relieve the access pressure of the Master and improve the access efficiency of the system.
Step S40: outputting a data result by performing multi-dimensional analysis processing on the man-hour data; the data result comprises real-time data and report data, and the real-time data comprises real-time monitoring, statistics or viewing data; the report data comprises a data report, a data billboard or data statistics. Specifically, in one embodiment of the invention, real-time feedback is carried out through visualization of the signboard, foolproof setting and abnormal early warning setting, so that the difference between work time of attendance checking and work time of work loading is monitored, the production state of a workshop is counted in real time, multi-category and multi-dimensional data reports are generated in time, the real-time display efficiency of work time is lean, the work time error is adjusted in time, the work time processing efficiency is improved, the abnormal cost accounting error is reduced, the time consumed by manual counting is reduced, the dilemma caused by large counting error is avoided, the real-time presentation of the dynamic efficiency of a production line is realized. Meanwhile, detailed and accurate man-hour data also helps managers to sense information, optimize decision and accurately control.
In addition, the invention also provides a device for managing the beneficial working hours.
Referring to fig. 2, an internal structure diagram of a lean man-hour management device according to an embodiment of the present invention is provided, where the lean man-hour management device at least includes a memory 11, a processor 12, a communication bus 13, and a network interface 14.
The memory 11 includes at least one type of readable storage medium, which includes a flash memory, a hard disk, a multimedia card, a card type memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, and the like. The memory 11 may be an internal storage unit of the lean man-hour management apparatus in some embodiments, for example, a hard disk of the lean man-hour management apparatus. The memory 11 may also be an external storage device of the Smart hour management apparatus in other embodiments, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like provided on the Smart hour management apparatus. Further, the memory 11 may also include both an internal storage unit of the lean man-hour management apparatus and an external storage device. The memory 11 may be used not only to store application software installed in the lean man-hour management apparatus and various types of data, such as a code of the lean man-hour management program, but also to temporarily store data that has been output or is to be output.
The processor 12 may be, in some embodiments, a Central Processing Unit (CPU), controller, microcontroller, microprocessor or other data Processing chip, and is used for executing program codes stored in the memory 11 or Processing data, such as executing a smart time manager.
The communication bus 13 is used to realize connection communication between these components.
The network interface 14 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface), and is typically used to establish a communication link between the lean management apparatus and other electronic devices.
Optionally, the smart man-hour management device may further include a user interface, the user interface may include a Display (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface may further include a standard wired interface and a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, or the like. The display, which may also be referred to as a display screen or display unit, is suitable for displaying information processed in the lean man-hour management apparatus and for displaying a visualized user interface.
While fig. 2 shows only the lean man-hour management apparatus having the components 11 to 14 and the lean man-hour management program, those skilled in the art will appreciate that the structure shown in fig. 2 does not constitute a limitation of the lean man-hour management apparatus, and may include fewer or more components than those shown, or combine some components, or a different arrangement of components.
In the embodiment of the lean man-hour management apparatus shown in fig. 2, a lean man-hour management program is stored in the memory 11; the processor 12, when executing the lean man-hour management program stored in the memory 11, implements the steps of:
step S10: collecting original man-hour data;
step S20: carrying out ETL processing on the original man-hour data to obtain man-hour data;
step S30: storing the working hour data into a back-end database; the back-end database is a main multi-standby database;
step S40: and outputting a data result by performing multi-dimensional analysis processing on the man-hour data.
Referring to fig. 3, a schematic diagram of a program module of a lean man-hour management program in an embodiment of the lean man-hour management apparatus of the present invention is shown, in this embodiment, the lean man-hour management program may be divided into an acquisition module 10, an ETL processing module 20, an analysis processing module 30, and an output module 40, which exemplarily:
the acquisition module 10 is used for executing the task of acquiring the original data of the working hours;
an ETL processing module 20, configured to perform a task of performing ETL processing on the raw man-hour data to obtain man-hour data;
an analysis processing module 30, configured to perform a multi-dimensional analysis processing task on the man-hour data;
and the output module 40 is used for executing the task of outputting the data result.
The functions or operation steps of the acquisition module 10, the ETL processing module 20, the analysis processing module 30, and the output module 40 when executed are substantially the same as those of the above embodiments, and are not repeated herein.
Furthermore, an embodiment of the present invention further provides a storage medium, where the storage medium is a computer-readable storage medium, and the storage medium has a lean man-hour management program stored thereon, where the lean man-hour management program is executable by one or more processors to implement the following operations:
step S10: collecting original man-hour data;
step S20: carrying out ETL processing on the original man-hour data to obtain man-hour data;
step S30: storing the working hour data into a back-end database; the back-end database is a main multi-standby database;
step S40: and outputting a data result by performing multi-dimensional analysis processing on the man-hour data.
The storage medium according to the present invention is substantially the same as the above-described embodiments of the lean man-hour management method and apparatus, and will not be described in detail herein.
Compared with the prior art, the lean man-hour management method, the lean man-hour management device and the lean man-hour management storage medium provided by the invention have the advantages that the collection of man-hour original data is realized by opening each data island, the ETL data processing is carried out to obtain the man-hour data, the man-hour data is stored and analyzed and processed in a multi-dimensional way through the main and multi-backup distributed database, the man-hour real-time display efficiency is improved, the man-hour error is adjusted in time, the man-hour processing efficiency is improved, the abnormal cost accounting error is reduced, the time consumption of manual statistics is reduced, the difficulty caused by large statistical error is avoided, the real-time presentation of the dynamic.
It should be noted that the above-mentioned numbers of the embodiments of the present invention are merely for description, and do not represent the merits of the embodiments. And the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, apparatus, article, or method 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, apparatus, article, or method. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, apparatus, article, or method that comprises the element.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above, and includes instructions for enabling a terminal device (e.g., a drone, a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A lean man-hour management method, comprising:
collecting original man-hour data;
carrying out ETL processing on the original man-hour data to obtain man-hour data;
storing the working hour data into a back-end database; the back-end database is a main multi-standby database;
and outputting a data result by performing multi-dimensional analysis processing on the man-hour data.
2. The lean man-hour management method according to claim 1, wherein the collection of the man-hour raw data includes data collection of a system interface and data collection of a file interface.
3. The lean man-hour management method of claim 2, wherein the system interface comprises one or more of an ERP system, an Andon system, a barcode tracing system, and an attendance system; the file interface includes one or more of a standard capacity table, an assembly schedule table, and a standard human cost table.
4. The lean labor hour management method according to claim 3, wherein the bar code tracing system identifies the staff through the staff card two-dimensional code of the staff, and the collection of raw data of labor hours is realized through automatic code scanning of an industrial code scanning gun in the production process.
5. The lean man-hour management method of claim 1, wherein the man-hour raw data includes one or more of manpower, man-hour, production line, time efficiency, plan achievement rate, unfinished work sheet, abnormal man-hour, trial production order, production report, and manpower cost.
6. The lean man-hour management method according to claim 1, wherein the ETL process is a process of parsing, classifying and storing man-hour raw data using a scripting language of Python.
7. The lean man-hour management method according to claim 1, wherein the master multi-backup database includes a master library and multi-slave libraries, the master library implements data writing operation, and the slave library implements data reading operation.
8. A lean man-hour management method according to claim 1, wherein the data results include real-time data including real-time monitoring, statistics or viewing data and report data; the report data comprises a data report, a data billboard or data statistics.
9. A lean man-hour management apparatus comprising a memory and a processor, the memory having a lean man-hour management program stored thereon that is executable by the processor, the lean man-hour management program when executed by the processor implementing the steps of the lean man-hour management method according to any one of claims 1 to 8.
10. A storage medium that is a computer-readable storage medium having a lean man-hour management program stored thereon, the lean man-hour management program being executable by one or more processors to implement the steps of the lean man-hour management method according to any one of claims 1 to 8.
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