CN115081774A - System and method for compiling production plan and monitoring production execution condition - Google Patents

System and method for compiling production plan and monitoring production execution condition Download PDF

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CN115081774A
CN115081774A CN202110274381.2A CN202110274381A CN115081774A CN 115081774 A CN115081774 A CN 115081774A CN 202110274381 A CN202110274381 A CN 202110274381A CN 115081774 A CN115081774 A CN 115081774A
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陈瀚宁
白建龙
梁晓丹
苏卫星
何茂伟
刘芳
孙丽玲
徐思文
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Tianjin Polytechnic University
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Abstract

The invention provides a system and a method for compiling a production plan and monitoring a production execution condition, belonging to the field of manufacturing system information engineering. The system comprises: the system comprises a resource management and resource group allocation module, a production flow compiling module, a production plan compiling module, a production execution module, an automatic monitoring module and a statistical analysis and prediction module; the resource management and resource group allocation module is connected with the production planning module; the production flow compiling module is respectively connected with the production plan compiling module, the automatic monitoring module and the statistical analysis and prediction module; the production planning module is also connected with the production execution module, the automatic monitoring module and the statistical analysis and prediction module respectively; the production execution module is also connected with the automatic monitoring module. The invention improves the transparence, visualization, predictability and quantifiability of production management, improves the punctuality of delivery, effectively optimizes the use of resources and improves the utilization rate of equipment and personnel resources.

Description

System and method for compiling production plan and monitoring production execution condition
Technical Field
The invention belongs to the field of manufacturing system information engineering, and particularly relates to a system and a method for compiling a production plan and monitoring a production execution condition.
Background
Due to the diversified demands of the current market, the production proportion of multi-variety small-batch production is getting larger and larger. The production plan and the scheduling are more difficult, the changes in production are various, the basic data of the product is huge, and the maintenance is difficult. Nowadays, the information technology is developed vigorously, and as a manufacturing enterprise, the use of the information technology for production management is also a necessary way to improve the production efficiency of the enterprise.
However, most systems in the market have basically the same principle, can assist in finishing production processes such as planning, processing, quality inspection and the like, and generally have the functions of plan decomposition and issuing, auxiliary production scheduling, production progress checking, production report forms and the like.
Chinese patent publication 201711394205.2 discloses a production monitoring method, which is mainly used to monitor and avoid the erroneous operation of equipment by people in the production process; chinese patent publication CN201910019971.3 discloses a workshop manufacturing management system, but its outsources are mainly used to issue outsource plans for operation; chinese patent publication 201610064186.6 discloses a scheduling method, but there is no personalized or special process attribute identification and no targeted plan monitoring.
However, the existing system and method have the following disadvantages: firstly, the production flow is not visual, most of the production flow is in a table form, key attribute information is not related in the production flow, the key attribute information needs to be edited again by other operation modules, and errors are easy to occur; secondly, if the whole production plan needs to compile a multi-level plan, the plan of each level needs to be edited independently, and the processing is very troublesome; and thirdly, customized monitoring can not be carried out, only fixed procedures or all procedures are monitored, and targeted and customized stage monitoring is not needed.
Disclosure of Invention
The invention aims to solve the problems in the prior art, and provides a system and a method for compiling a production plan and monitoring the execution condition of production, so that the automatic customized production of an intelligent factory is realized, the production plan is quickly compiled, early warning type production is realized, the productivity is optimized, and the production efficiency is improved.
The invention is realized by the following technical scheme:
in a first aspect of the present invention, a system for planning production and monitoring production execution is provided, the system comprising: the system comprises a resource management and resource group allocation module, a production flow compiling module, a production plan compiling module, a production execution module, an automatic monitoring module and a statistical analysis and prediction module;
the resource management and resource group allocation module is connected with the production planning module;
the production flow compiling module is respectively connected with the production plan compiling module, the automatic monitoring module and the statistical analysis and prediction module;
the production planning module is also connected with the production execution module, the automatic monitoring module and the statistical analysis and prediction module respectively;
the production execution module is also connected with the automatic monitoring module.
The invention has the further improvement that the production flow compiling module compiles each link in the production flow into each procedure in the graph and each procedure comprises attribute information of the procedure; each production flow has a unique production flow number, and the lower-level production flow records the number of the upper-level production flow;
and the production flow compiling module sends the production flow to the production plan compiling module and respectively sends the production flow number to the automatic monitoring module and the statistical analysis and prediction module.
The attribute information includes: the method comprises the steps of working procedure standard working time, whether checking is included, whether a resource group is associated, whether a bottleneck working procedure is adopted, whether an outsource working procedure is adopted, whether a timer is started, whether the quantity is related, and whether a material splitting point is adopted.
The invention is further improved in that the production plan compiling module compiles a production plan according to the capacity information of the resources and the resource groups sent by the resource management and resource group allocation module, the production flow sent by the production flow compiling module and the attribute information of each process, and sends the production plan to the production execution module and the automatic monitoring module respectively;
and the production plan compiling module feeds back the resource occupation condition of the distributed production plan to the resource management and resource group distribution module according to the execution result sent by the production execution module, and sends the counted execution result information of the production plan to the statistical analysis and prediction module.
The invention is further improved in that the production execution module executes production according to the production plan sent by the production plan compiling module and reports an execution result to the production plan compiling module.
The invention is further improved in that the resource management and resource group allocation module is used for inputting the capacity information of the resources and the resource groups and providing the capacity information of the resources and the resource groups for the production planning module; the resource management and resource group allocation module records the resource occupation condition of the allocated production plan sent by the production plan compiling module, and obtains the capacity information of the available resources and the resource groups according to the resource occupation condition of the allocated production plan and the capacity information of the resources and the resource groups.
Preferably, the capacity information of the resources and resource groups includes: resource information and resource group information; wherein the resource information includes: employee information, equipment information, and tooling information; the resource group information includes information of a multifunctional device group.
The invention has the further improvement that the automatic monitoring module monitors all production plans according to the production plans sent by the production plan compiling module, can independently monitor special processes according to the production flows sent by the production flow compiling module, displays production progress information in real time and feeds the production progress information back to the production execution module;
the special process comprises the following steps: external cooperation process, bottleneck process and production monitoring group.
The invention is further improved in that the statistical analysis and prediction module carries out statistical analysis according to the production flow, bottleneck process and process standard working hours sent by the production flow compiling module and the execution result information sent by the production plan compiling module, carries out delivery period prediction on the new production plan and outputs statistical information and prediction information.
In a second aspect of the present invention, a method for planning production and monitoring production execution is provided, the method comprising:
the method comprises the following steps: compiling a production flow according to a production process of a product, and setting attribute information for each procedure in the production flow;
step two: compiling a production plan according to the production flow, the resources and the capacity information of the resource group;
step three: issuing a production plan, executing the issued production plan, and simultaneously carrying out production control on the issued production plan;
step four: automatically monitoring the bottle neck process, the outside cooperation process and the production monitoring group and giving early warning prompt to monitoring information;
step five: and carrying out statistical analysis on the execution result of the production plan, and carrying out delivery forecast on the new production plan.
Compared with the prior art, the invention has the beneficial effects that:
(1) the graphical process design can be used for flexibly and quickly matching the changes of the business process of the enterprise.
(2) The nested multi-level plan management is realized from the layer-by-layer decomposition of a company level plan to a workshop process level plan, the layer-by-layer nesting and the automatic compilation are realized according to the logical relationship, the structure is simple, clear and clear, the fact that each level plan only needs to focus on the compilation and modification of the current level plan is ensured, and the planning difficulty is reduced.
(3) Combining the TOC theory and the CCPM theory, comprehensively and automatically finishing plan sequencing and quantifying indexes according to various indexes such as the planned buffer rate, the completion degree, the erosion rate, the buffer erosion speed and the like. Plan buffering is distinguished by different colors (black, red, yellow, green and white), the method is convenient and visual, and intervention can be performed in advance according to color early warning.
(4) The invention improves the transparence, visualization, predictability and quantifiability of production management, improves the on-time rate of delivery and obviously improves the customer satisfaction and market competitiveness.
(5) The invention can effectively optimize the use of resources through scientific scheduling and scheduling, reduce the waiting or stopping time of the production line of the equipment and improve the utilization rate of the equipment and personnel resources.
Drawings
FIG. 1 is a block diagram of the system of the present invention;
FIG. 2 is a flow chart illustrating a system and method for fast production planning and flexible monitoring of production execution according to an embodiment of the present invention;
FIG. 3 is a relational diagram of various modules in the system of the present invention;
FIG. 4 is a schematic view of a production process compiled by the production process compilation module of the system of the present invention;
FIG. 5 is a schematic diagram of a key chain and a sub chain in an embodiment of a production process compiled by the production process compiling module in the system according to the invention.
Detailed Description
The invention is described in further detail below with reference to the accompanying drawings:
as shown in fig. 1, the present invention discloses a system for planning production and monitoring production execution, which comprises: the system comprises a resource management and resource group distribution module, a production flow compiling module, a production plan compiling module, a production execution module, an automatic monitoring module and a statistical analysis and prediction module.
As shown in fig. 3, the resource management and resource group allocation module is connected to the production planning module, the production flow planning module is connected to the production planning module, the automatic monitoring module, and the statistical analysis and prediction module, the production planning module is connected to the production execution module, the automatic monitoring module, and the statistical analysis and prediction module, and the production execution module is connected to the automatic monitoring module.
The functions of the modules are as follows:
the production flow compiling module is used for compiling the production flow by adopting a graphical interface and sending the production flow to the production plan compiling module. The user can intuitively and quickly compile the user-defined production flow in the production flow compiling module, and the flow interacts with the user through a graphical interface; namely, the user compiles a production flow in the module, and the module records the production flow compiled by the user and sends the production flow chart and the attribute information to the production planning module.
By using the production flow compiling module, a user can compile a graphical interface according to the production flow of a product (the graphical interface is edited, dragged and the like of a graph realized by programming, the user can draw the graph shown in fig. 4 by directly using the module, the module can be realized by adopting various existing programming languages, and details are not repeated here), namely, all steps of all links in the production flow are compiled into all processes in the graph (for example, links in the production process comprise winding, assembling, impregnating, code spraying and packaging, each square frame in the corresponding graph represents a process, the processes comprise winding, assembling, impregnating, code spraying and packaging), and all processes in the graph also comprise production related attribute information, and the attribute information comprises: the method comprises the steps of working procedure standard working hours, checking whether the working procedure standard working hours include checking, whether resource groups are related or not, whether the resource groups are bottleneck points or not, whether the resource groups are outsourced or not, whether a timer is started or not, whether the resource groups are related in quantity or not and whether the resource groups are material splitting points or not, wherein the attribute information is optional information, and a user can select the related information according to production requirements. As shown in fig. 4.
The user can intuitively and quickly compile the user-defined production flow. After the whole production flow is finished, the duration of each procedure is calculated, a key chain and an auxiliary chain are obtained, the specific calculation method of the key chain and the auxiliary chain can be realized by adopting the existing key chain theory, and the brief introduction here is as follows: and (3) calculating the total time length of each chain formed in the working procedures (each sequentially-performed working procedure is connected to form one chain), finding the chain with the longest total time length as a key chain, and using other chains as auxiliary chains. And clearly identify each process on the key chain.
The production flow compiling module can compile multi-level production flows, and can carry out attribute setting on the processes in each flow (on the process needing to compile the next-level production flow, right click is carried out to compile the next-level production flow, drawing is carried out in a graphic mode according to actual production steps, and attribute information is selected according to production requirements.
After the production flows are compiled, each production flow has a corresponding production flow number (the record of the lower-level production flow can record the number of the upper-level production flow, so that traceability is realized), the compiled production flow number is sent to the production plan compiling module, and the production plan compiling module can find each process in the production flow and the attribute information of the process according to the production flow number. The production flow compiling module can also send the production flow number to the automatic monitoring module to provide outsourcing, bottleneck and production monitoring group information for the automatic monitoring module, and can also send the production flow number to the statistical analysis and prediction module, and the statistical analysis and prediction module carries out delivery period prediction on a new plan according to the production flow bottleneck process and standard working hour information of the product.
2, the production planning module can perform nested multi-level planning management according to the production flow, and the company level plan is decomposed layer by layer to a workshop process level plan; specifically, the module receives information sent by the production flow compiling module, that is, a production flow chart and attribute information of the production plan, where the attribute information includes: the standard working hours of the process include checking, whether a resource group is related or not, whether the resource group is a bottleneck point or not, whether the resource group is a foreign agreement or not, whether a timer is started or not, whether the quantity is related or not and whether the material is a material splitting point or not. The module also receives the information of the resource management and resource group allocation module, including defined resource information such as equipment, tools and personnel; defined resource groups, such as device groups (multiple devices can produce multiple products, can be set as resource groups, production shop events); a production demand is received. Then, production plan information is compiled, and the use information of resources and resource groups is optimally allocated and recorded in the record information of the production plan. And simultaneously, the resource allocation information is fed back to the resource management and resource group allocation module to record the information, so that when a new plan exists later, the resource allocation of the new plan is carried out. In the production stage, the module receives production feedback from the production execution module, for example, 100 vacuum cups are planned to be produced, and the production execution module feeds back +1 to the production plan every time one vacuum cup is finished, and meanwhile, quality results such as qualified, unqualified, reworked and the like returned in the block production execution process are also included.
More specifically, the production planning module performs nested multi-level planning management by combining the production flow and the attribute information of each process provided by the production flow planning module. The method is characterized in that a company-level plan is decomposed layer by layer to a workshop process-level plan, layer by layer nesting and automatic compilation are realized according to a logical relationship (a multi-level production flow compiled by a production flow compiling module), all levels of plans are graphically displayed (what the plan is to be produced, how much the plan is produced, and what time is produced, and a flow chart is realized through what steps, and the plan is split into a more specific production plan through the flow chart), the structure is simple, clear and clear, and each level of plan is ensured to be focused only on compilation and modification of the current level of plan (each level only needs to compile the current level of production flow, and the planned production is generated according to each level of production flow), so that the planning difficulty is reduced. When the upper level plans to change the delivery period, the lower level plans to automatically change the delivery period (according to the change of the upper level, the lower level adopts an automatic formula calculation mode: automatically adding (subtracting) days, and the specific calculation method is that the plan completion date plus (the date after the change-the date before the change)), and the operation of personnel is reduced.
Combining the TOC theory and the CCPM theory, comprehensively and automatically finishing the planned sequencing (sequencing according to the size of the quantized index value) and quantizing the index (the quantization index can be realized by adopting the existing TOC theory and the CCPM theory, and no further description is given here) according to various indexes such as planned buffer rate, completion degree, erosion rate, buffer erosion speed and the like. Wherein, the planned buffer rate (planned completion date-current date)/total duration of the key chain is 100%, and planned buffers in different intervals are distinguished by different colors (black, red, yellow, green and white colors), for example, black indicates: planned buffer < 0%, red indicates: 0% < ═ planned buffer ratio < 33.3%, yellow indicates: 33.3% < planned buffer ratio < 66.7%, green indicates: 66.7% < planned buffer ratio < > 100%, white for: the projected buffer rate is greater than 100%. The method is convenient and intuitive, and can intervene in advance according to color early warning (the condition of production intervention; for example, the planned buffer rate is red, which indicates that the planned buffer rate cannot be finished according to the plan and the work of the plan needs to be tightened). When a new order or a quick order exists, the orders can be automatically inserted to a proper sequence (sorted according to the size of the quantized index value), ordered insertion is realized, and a planning result is finally formed.
And the production planning module sends the planned result to the production execution module.
And 3, the production execution module performs production management and control and early warning type production according to the production plan. Specifically, the production execution module limits material feeding according to the predicted start time of the plan result sent by the production plan compiling module (for example, a plan state may be set, and the system does not allow the material feeding in the state of limiting material feeding), so as to avoid accumulation of work in process; and the production execution module reports the execution result to the production planning module. The newspaper worker management is simple to operate, only the key point is needed to click the worker and the completion button, the time information can be automatically recorded, the timely and accurate backtracking of the information flow is facilitated, and the information delay is greatly reduced. Specifically, the module receives production plan information from the production plan compiling module, and carries out production according to the production plan, and feeds back production result information (namely an execution result) to the production plan compiling module in the production process, wherein the production result information includes: start-up time, completion time, quality results, production personnel, etc.
The production planning module tracks the plan execution situation in real time according to the execution result, provides the most effective visual early warning in stages before causing delay of delivery according to the quantized index value (for example, the color of the plan buffer rate is obtained according to the calculated buffer rate), and the potential crisis event is clear at a glance.
And 4, the resource management and resource group allocation module belongs to a basic information module, namely production resources contained in a production workshop, provides the production planning module with the productivity information of available resources and resource groups, and automatically and optimally allocates the production resources according to the productivity information of the resources and the resource groups. Therefore, when the production planning module carries out planning, the production planning module can know which resources exist and carry out optimal configuration on resource information contained in the resource group.
The capacity information of the resources and the resource groups comprises resource information and resource group information, wherein the resource information comprises: the resource group information comprises information of a multifunctional equipment group, namely information of equipment capable of processing various products, and the information is directly input into the resource management and resource group allocation module.
Specifically, the module receives its own records, including defined resource information, such as devices, tools, and personnel; a defined set of resources, such as a set of devices (multiple devices may produce multiple products, may be configured as a resource set, a job-shop). The production planning module feeds back the resource allocation information to the resource management and resource group allocation module to record the information, so that when a new plan exists later, the resource allocation of the new plan is carried out. The module records the information and outputs the information to the production planning module.
The production planning module feeds back the resource occupation situation of the allocated plan to the resource management and resource group allocation module according to the received execution result, and the resource management and resource group allocation module records the resource occupation situation of the allocated plan and the production capacity situation of the resource group containing the resource, and obtains the capacity information of the available resource and the resource group. And then the production planning module automatically and optimally allocates the production resources according to the available resources and the capacity information of the resource groups (the method for allocating the production resources can be realized by adopting the existing ant colony algorithm). The resource management and resource group allocation module is matched with the production planning module to realize the optimization of resource allocation, the optimization of capacity and the improvement of production efficiency.
And 5, the automatic monitoring module is used for monitoring all production plans and simultaneously can independently monitor special processes (outsourcing, bottleneck and production monitoring groups). Specifically, the automatic monitoring module automatically carries out continuous monitoring until the production monitoring group, the outside cooperation process and the bottleneck process are completed according to the production monitoring group, the outside cooperation process and the bottleneck process set by a user.
Specifically, the module receives production plan information sent by the production plan compiling module and outsource, bottleneck and production monitoring group information sent by the production flow compiling module, monitors a production monitoring group, an outsource process and a bottleneck process set by a user, and displays production progress information to the user in real time.
For example, when a part needs to be subjected to outsourced processing, the attribute of the process only needs to be set as the outsource when the production process is compiled by the production process compiling module, the production plan compiling module generates an independent plan for the process with the attribute being the outsource, the production plan is conveniently distributed to outsource enterprises, the execution condition of the process is automatically monitored, the process is predicted according to the production progress reported in stages (the working output capacity of each day is predicted according to the reporting time, the reporting quantity and the delivery period, and then the calculation is performed according to the total quantity and the delivery period duration (the automatic monitoring module adopts the existing algorithm for monitoring, which is not described herein), and whether the production task can be completed according to the specified time is determined.
For example, if a bottleneck point is selected in the attribute of a process, the process is a bottleneck process, the automatic monitoring module continuously monitors the production of the bottleneck process, performs statistics according to historical production information, performs optimization prompting (performing statistics according to historical production information, analyzing production man-hour, performing calculation according to current set production standard man-hour, and performing optimization prompting (prompting that set standard man-hour needs to be shortened) if the analyzed production man-hour is smaller than a set man-hour value), and shortens the production man-hour.
Specifically, during process planning, a plurality of processes can be set as one production monitoring group, information searching and monitoring can be performed according to the setting, for example, a large block diagram is used for a plurality of processes in process planning, and the processes in the large block diagram can be automatically searched according to the flow diagram for monitoring.
The process information monitored by the automatic monitoring module comes from the production flow compiling module, the production content comes from the production plan compiling module, the monitored progress condition is fed back to the production execution module, and the production execution module reports the execution result to the production plan compiling module.
And 6, the statistical analysis and prediction module is used for performing statistical analysis on the production flow, bottleneck process and standard working hour information of the product provided by the production flow programming module and performing delivery prediction on the new plan. The production information can be subjected to statistical analysis (the planned production execution information and the historical information are subjected to statistical analysis, the historical information and the currently executed production information are both stored in a database), the bottleneck process is managed, the bottleneck process and the production process are utilized to carry out delivery forecast on the newly added order (each production process is related to a key chain, the key chain comprises the bottleneck process, the production period of a product mainly depends on the duration of the bottleneck process, the delivery forecast can be carried out aiming at the bottleneck duration and the total production task, and a calculation formula is that the delivery forecast time is buffer stacking time (namely the planned stacking time before) + the bottleneck duration and the total time after the bottleneck module), and graphical display is provided.
Specifically, the module receives production plan information sent by the production plan compiling module, carries out statistical analysis according to the information, receives production flow, bottleneck process and standard working hour information of products sent by the production flow compiling module, carries out delivery forecast on a new plan according to the information and production plan historical information, and outputs statistical information and forecast information to a user.
The invention also provides a method for quickly compiling a production plan and flexibly monitoring the production execution condition by using the system. The invention can realize the automatic customized production of an intelligent factory, optimize the productivity and improve the production efficiency.
As shown in fig. 2, the method comprises the steps of:
the method comprises the following steps: compiling a production flow according to a production process of a product, setting attribute information for each procedure in the production flow, and establishing a production monitoring group for a plurality of procedures, wherein the system automatically judges a key chain after the whole production flow is compiled; the steps are realized by utilizing the production flow compiling module.
Flow establishment personnel self-define and draw the production flow in the system according to the actual production flow of product, add the process through the mode of dragging the process at the flow establishment module promptly, set up its unique attribute information to each process in the production flow simultaneously, optional attribute information includes: the standard working hours of the process include checking, whether a resource group is related or not, whether the resource group is a bottleneck point or not, whether the resource group is a foreign agreement or not, whether a timer is started or not, whether the quantity is related or not and whether the material is a material splitting point or not. If a plurality of production steps need to be monitored in a centralized manner, the production monitoring frame is dragged, and the process needing centralized monitoring is put into the production monitoring frame, so that the setting of the production monitoring group is completed.
Step two: and (3) compiling a production plan according to the productivity information of the resources and the resource groups: formulating a production task according to the production requirement, and automatically splitting and analyzing the production task according to the programmed multi-stage production flow; namely, a company level plan is decomposed layer by layer to a workshop process level plan, and layer-by-layer nesting and automatic compilation are realized according to a logical relationship. In the planning process, the attribute information of each process is automatically associated (each information in the system has primary key information (such as a person ID card), and the attribute information of the production process in the system records the primary key information of the production flow), so that the planning of the production plan is completed. Aiming at the process comprising resource groups, combining the current production allocation condition and the information set by the current production capacity, and automatically and optimally allocating production resources after system calculation; and the second step is completed by utilizing the resource management and resource group allocation module and the production planning module.
Step three, issuing a production plan and carrying out production control on the issued production plan; and the third step is realized by utilizing the production execution module and the production monitoring module.
And issuing a production instruction to the generated production plan at a production execution module, clicking an issuing button, and changing the state of the plan: the production execution module can inquire the production plan to be executed at the moment, the production execution module performs production control operation on the issued plan, the system prohibits to issue the production task to the machine according to the production plan with limited production (the limited production is read by the system according to the start time of the plan, such as the start time of the plan is 2021.01.20, and then 2021.01.19 is the state of the limited production), and if the production task is actually required to be changed to be in the production available state in advance, the production execution module needs to manually change the state of the production task to be in the production available state, so that the production task can be issued to the machine. The task issued to the machine can be started, completed and reported to the abnormal quality through the system.
Step four: and automatically monitoring the bottle neck process, the outside cooperation process and the production monitoring group and carrying out early warning prompt on monitoring information. And step four, the automatic monitoring module is utilized to realize the automatic monitoring.
After the production plan is compiled, according to the production flow compiled in the corresponding flow design, the bottleneck process, the outside cooperation process and the production monitoring group set in the flow, the automatic monitoring module automatically retrieves the production plan information corresponding to the production plan, monitors the production progress condition, and performs early warning and prompting according to the range values of various indexes of the planned buffer rate, the completion degree, the corrosion and erosion rate and the buffer corrosion speed.
Step five: and (4) carrying out statistical analysis on the execution result of the production plan (the result reported by the production execution module is fed back to the production plan module, and the production plan module provides the record information of the production plan for the statistical analysis and prediction module). And predicting the production delivery period according to the production flow chart of the existing product in the flow module and the bottleneck module in the flow chart.
Finally, it should be noted that the above-mentioned technical solution is only one embodiment of the present invention, and it will be apparent to those skilled in the art that various modifications and variations can be easily made based on the application method and principle of the present invention disclosed, and the method is not limited to the above-mentioned specific embodiment of the present invention, so that the above-mentioned embodiment is only preferred, and not restrictive.

Claims (10)

1. A system for compiling a production plan and monitoring production execution conditions, characterized by: the system comprises: the system comprises a resource management and resource group allocation module, a production flow compiling module, a production plan compiling module, a production execution module, an automatic monitoring module and a statistical analysis and prediction module;
the resource management and resource group allocation module is connected with the production planning module;
the production flow compiling module is respectively connected with the production plan compiling module, the automatic monitoring module and the statistical analysis and prediction module;
the production planning module is also connected with the production execution module, the automatic monitoring module and the statistical analysis and prediction module respectively;
the production execution module is also connected with the automatic monitoring module.
2. The system for scheduling and monitoring production according to claim 1, wherein: the production flow compiling module compiles each link in the production flow into each procedure in the graph and each procedure comprises attribute information of the procedure; each production flow has a unique production flow number, and the lower-level production flow records the number of the upper-level production flow;
the production flow compiling module sends the production flow to the production plan compiling module, and sends the production flow number to the automatic monitoring module and the statistical analysis and prediction module respectively.
3. The system for scheduling and monitoring production execution according to claim 2, wherein: the attribute information includes: the method comprises the steps of working procedure standard working time, whether checking is included, whether a resource group is associated, whether a bottleneck working procedure is adopted, whether an outsource working procedure is adopted, whether a timer is started, whether the quantity is related, and whether a material splitting point is adopted.
4. The system for scheduling and monitoring production according to claim 3, wherein: the production plan compiling module compiles a production plan according to the resource and resource group capacity information sent by the resource management and resource group allocation module, the production flow sent by the production flow compiling module and the attribute information of each process, and sends the production plan to the production execution module and the automatic monitoring module respectively;
and the production plan compiling module feeds back the resource occupation condition of the distributed production plan to the resource management and resource group distribution module according to the execution result sent by the production execution module, and sends the counted execution result information of the production plan to the statistical analysis and prediction module.
5. The system for scheduling and monitoring production according to claim 4, wherein: and the production execution module executes production according to the production plan sent by the production plan compiling module and reports an execution result to the production plan compiling module.
6. The system for scheduling and monitoring production according to claim 5, wherein: the resource management and resource group allocation module is used for inputting the capacity information of the resources and the resource groups and providing the capacity information of the resources and the resource groups for the production planning module; the resource management and resource group allocation module records the resource occupation condition of the allocated production plan sent by the production plan compiling module, and obtains the capacity information of the available resources and the resource groups according to the resource occupation condition of the allocated production plan and the capacity information of the resources and the resource groups.
7. The system for scheduling and monitoring production according to claim 6, wherein: the capacity information of the resources and the resource groups comprises: resource information and resource group information; wherein the resource information includes: employee information, equipment information, and tooling information; the resource group information includes information of a multifunctional device group.
8. The system for scheduling and monitoring production execution according to claim 7, wherein: the automatic monitoring module monitors all production plans according to the production plans sent by the production plan compiling module, can independently monitor special processes according to the production flows sent by the production flow compiling module, displays production progress information in real time and feeds the production progress information back to the production execution module;
the special process comprises the following steps: external cooperation process, bottleneck process and production monitoring group.
9. The system for scheduling and monitoring production execution according to claim 8, wherein: the statistical analysis and prediction module carries out statistical analysis according to the production flow, bottleneck working procedures and working procedure standard working hours sent by the production flow compiling module and the execution result information sent by the production plan compiling module, carries out delivery prediction on a new production plan and outputs statistical information and prediction information.
10. A method for compiling a production plan and monitoring production execution conditions is characterized in that: the method comprises the following steps:
the method comprises the following steps: compiling a production flow according to a production process of a product, and setting attribute information for each procedure in the production flow;
step two: compiling a production plan according to the production flow, the resources and the capacity information of the resource group;
step three: issuing a production plan, executing the issued production plan, and managing and controlling the production of the issued production plan;
step four: automatically monitoring the bottle neck process, the outside cooperation process and the production monitoring group and giving early warning prompt to monitoring information;
step five: and carrying out statistical analysis on the execution result of the production plan, and carrying out delivery forecast on the new production plan.
CN202110274381.2A 2021-03-15 2021-03-15 System and method for compiling production plan and monitoring production execution condition Pending CN115081774A (en)

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