CN115700638A - Workshop scheduling optimization method - Google Patents

Workshop scheduling optimization method Download PDF

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CN115700638A
CN115700638A CN202211532620.0A CN202211532620A CN115700638A CN 115700638 A CN115700638 A CN 115700638A CN 202211532620 A CN202211532620 A CN 202211532620A CN 115700638 A CN115700638 A CN 115700638A
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task
workshop
plan
work
scheduling
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牟健慧
卢超
易文超
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Yantai University
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    • G06Q10/06312Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
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Abstract

The invention discloses a workshop scheduling optimization method, which belongs to the field of schedule management and control of construction project sites and comprises the following steps: automatically executing a work plan based on the workshop task plan progress model, and automatically distributing the work tasks of workshop individuals and equipment; after completing the work task, the individual submits the task to the system, the system modifies the relevant attribute of the planning operation according to the submitted task data, and inputs the parameter of the corresponding work task into the workshop task planning progress model, thereby realizing the distribution of the new task of the individual; when the operation condition data of a certain device falls into a preset fault threshold, the system sends an early warning short message to a corresponding worker mobile terminal, and simultaneously, code information of the fault device is input into a workshop task plan progress model, so that the alternative device/work task scheduling is realized. The method avoids the problem of progress lag caused by the disjointed plan progress and actual progress, and improves the management and control capability of workshop field scheduling.

Description

Workshop scheduling optimization method
The application is a divisional application of a patent application named 'a workshop scheduling optimization method', the application date of the original application is 09 and 06 days in 2019, and the application number is 201910840045.2.
Technical Field
The invention relates to the field of schedule management and control of construction project sites, in particular to a workshop scheduling optimization method.
Background
At present, as for the workshop scheduling problem, scheduling rule types such as a scheduling function (such as a linear function, a neural network, a fuzzy method, a decision tree and the like) and a scheduling graph are usually adopted, but the types are mainly based on experience, and are fault-isolated with each other by neglecting the functions of pushing personal work tasks through a plan and feeding back real-time adjustment plans, so that the field work condition and an actual guidance plan are deviated and cannot be adjusted in time, the actual guidance work and a superior plan fault cannot be transmitted, the plan floats on the surface, the field work cannot be really guided and kept consistent, and the whole workshop scheduling management and control process is always puzzled.
Disclosure of Invention
The invention aims to provide a workshop scheduling optimization method, which can avoid the problem of progress lag caused by disjointing of a plan and an actual progress and improve the management and control capability of workshop on-site scheduling.
In order to achieve the purpose, the invention provides the following scheme:
a workshop scheduling optimization method comprises the following steps:
automatically executing a work plan based on the workshop task plan progress model, and automatically distributing the work tasks of individuals and equipment in the workshop; the workshop task plan progress model is a dynamic physical model constructed based on a workshop task plan by adopting a simulink simulation tool;
after an individual in a workshop completes a work task, submitting task data to a system, modifying relevant attributes of planned jobs according to the submitted task data by the system, and inputting parameters corresponding to the work task into a workshop task planning progress model so as to distribute a new task to the individual;
when the operation condition data of any equipment in the workshop falls into a preset fault threshold, the system sends an early warning short message to a corresponding mobile terminal of a worker, and simultaneously inputs the code information of the fault equipment into the workshop task plan progress model to replace the dispatching of the fault equipment or a work task.
Furthermore, the workshop task plan progress model is driven by a virtual actuation module, and a corresponding analysis result is output by a virtual parameter module; after the virtual actuation module establishes a relationship with each element in the simulink, parameters are changed within a specified range so as to calculate and solve different parameters; the virtual parameter module is a logic unit which is inserted into the physical model and can directly obtain a corresponding result or an information target.
Further, the automatically executing the work plan based on the workshop task plan progress model and automatically allocating the work tasks of individuals and equipment in the workshop specifically comprises:
establishing a workshop task plan, carrying out layer-by-layer decomposition and refinement according to an overall target plan, an annual plan, a monthly plan and a weekly plan, and associating the individual work task with the weekly plan;
the planning service program automatically executes a plan every day according to the current time and pushes the work tasks of the day to the personal mobile work platform; a preset task module is established in the background, and each task is presented on an interactive interface in a visual mode; in the application process, the user schedules the tasks on the interactive interface according to the requirements of the user and records scheduling information.
Further, after the individual submits the task data to the system, the method for optimizing the workshop scheduling further comprises the following steps: the system knows the actual completion progress of the plan operation according to the submitted task data, judges whether deviation occurs with the plan, and carries out scheduling in time if the deviation occurs.
Furthermore, during scheduling, a left mouse button is pressed in a visual operation interface, a work task node needing to be checked or operated is selected, a task addition scheduling event is triggered, and the object attribute corresponding to the task visual interface is stored in a memory stack;
in the process of scheduling the work task nodes, a task is scheduled to an external package task through clicking of a mouse, when the task is scheduled, the task scheduled on a visual interface triggers an element verification event, whether the task is matched with an empty task position or not is judged, and a corresponding prompt unit is called to display the task;
when the task scheduling operation is completed on the visual interface, the system automatically detects the matching state of the current task and the empty position, if the current task is not preset or is matched with the preset position, the visual interface of the task automatically restores the task storage area, and deletes the corresponding task identifier in the inner stack; if the task is matched with the current empty position, the program acquires the identifier of the current empty position, calls the task identifier in the stack, searches the corresponding task in the task database, reads the attribute and the task element of the task, assigns the task to the corresponding empty task position, and records the time and the priority information of the empty task.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects: the dynamic workshop task plan progress model is combined with the task scheduling method, the actual progress condition of a workshop job site is effectively associated with the plan progress by means of software advantages, the problem of progress lag caused by disjointed plan and actual progress is solved, the plan and the personal work task are associated to achieve the purpose that the personnel task is efficiently executed around the workshop task plan, and the management and control capability of the workshop site scheduling is improved.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
FIG. 1 is a flowchart of a method for optimizing plant scheduling 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.
In order to make the aforementioned objects, features and advantages of the present invention more comprehensible, the present invention is described in detail with reference to the accompanying drawings and the detailed description thereof.
As shown in fig. 1, an embodiment of the present invention provides a method for optimizing workshop scheduling, including the following steps:
s1, automatic execution of a work plan is achieved based on a workshop task plan progress model, and automatic allocation of workshop individuals and equipment work tasks is achieved.
Specifically, step S1 includes:
step 1, a workshop task plan is created, layer-by-layer decomposition and refinement are carried out according to an overall target plan, a year plan, a month plan and a week plan, and the individual work tasks are effectively associated with the week plan.
Step 2, the plan service program automatically executes the plan every day according to the current time and pushes the work tasks of the day to the personal mobile work platform; a preset task module is established in the background, and each task is presented on an interactive interface in a visual mode; in the application process, the user can schedule the tasks on the interactive interface according to the requirements of the user and record scheduling information.
The workshop task plan progress model is a dynamic physical model, is constructed by simulink based on a workshop task plan, is driven by a virtual actuation module, and outputs a corresponding analysis result by a virtual parameter module. The virtual actuation module is used for driving parameter change, and after the relationship is established between the virtual actuation module and each element in simulink, parameters can be changed within a specified range, so that the simulation analysis method can be driven to calculate and solve different parameters. The virtual parameter module is a logic unit which is inserted into the physical model and can directly obtain a corresponding result or information target. Various control commands are input through a visual interface to drive the virtual actuation module to circularly execute the simulation analysis method, the result is fed back to the simulation analysis module, the simulation analysis module automatically extracts data to the virtual parameter module, and the virtual parameter module automatically displays the simulation analysis result.
And S2, after the individual finishes the work task, submitting the work task to the system, modifying the relevant attributes of the planning operation by the system according to the submitted task data, and inputting the parameters of the finished task into the workshop task planning progress model so as to realize the distribution of the individual new task.
In this embodiment, in step S2, after completing the work task, the individual submits to the system, and the system modifies the relevant attributes of the planned job according to the submitted task data, so as to know the actual completion progress of the planned job, and whether the actual completion progress deviates from the plan, and schedule the job in time, thereby avoiding the risk of progress delay.
Specifically, during scheduling, a left mouse button is pressed in a visual operation interface, a work task node needing to be checked or operated is selected, a task adding scheduling event is triggered, and object attributes corresponding to the task visual interface are stored in a memory stack.
In the process of scheduling the work task nodes, a task can be scheduled to an external task through clicking of a mouse, when the task is scheduled, the task scheduled on the visual interface triggers an element verification event, whether the task is matched with an empty task position or not is judged, and a corresponding prompt unit is called to display the task.
When the task scheduling operation is completed on the visual interface, the system automatically detects the matching state of the current task and the empty position, if the current task is not preset or is matched with the preset position, the visual interface of the task automatically restores to the task storage area, and deletes the corresponding task identifier in the inner stack; if the task is matched with the current empty position, the program acquires the identifier of the current empty position, calls the task identifier in the stack, searches the corresponding task in the task database, reads the attribute and the task element of the task, assigns the task to the corresponding empty task position, and records the information of the time, the priority and the like of the empty task.
And S3, when the operation condition data of a certain machine device falls into a preset fault threshold, the system starts a short message automatic early warning module to send an early warning short message to a corresponding staff mobile terminal, and simultaneously, code information of the fault machine is input into the workshop task plan progress model, so that the alternative device/work task scheduling is realized.
The principle and the embodiment of the present invention are explained by applying specific examples, and the above description of the embodiments is only used to help understanding the method and the core idea of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In view of the foregoing, the description is not to be taken in a limiting sense.

Claims (5)

1. A workshop scheduling optimization method is characterized by comprising the following steps:
automatically executing a work plan based on the workshop task plan progress model, and automatically distributing the work tasks of individuals and equipment in the workshop; the workshop task plan progress model is a dynamic physical model constructed based on a workshop task plan by adopting a simulink simulation tool;
after an individual in a workshop completes a work task, submitting task data to a system, modifying relevant attributes of planned jobs according to the submitted task data by the system, and inputting parameters corresponding to the work task into a workshop task planning progress model so as to distribute a new task to the individual;
when the operation condition data of any equipment in the workshop falls into a preset fault threshold, the system sends an early warning short message to a corresponding mobile terminal of a worker, and simultaneously inputs the code information of the fault equipment into the workshop task plan progress model to replace the dispatching of the fault equipment or a work task.
2. The workshop scheduling optimization method according to claim 1, wherein the workshop mission plan progress model is driven by a virtual actuation module, and a corresponding analysis result is output by a virtual parameter module; after the virtual actuation module establishes a relation with each element in the simulink, parameters are changed within a specified range so as to calculate and solve different parameters; the virtual parameter module is a logic unit which is inserted into the physical model and can directly obtain a corresponding result or information target.
3. The method for optimizing plant scheduling according to claim 1, wherein the automatically executing a work plan based on the plant task plan progress model and automatically allocating work tasks of individuals and equipment in the plant comprises:
establishing a workshop task plan, carrying out layer-by-layer decomposition and refinement according to an overall target plan, a year plan, a month plan and a week plan, and associating the individual work task with the week plan;
the planning service program automatically executes the plan every day according to the current time and pushes the work tasks of the day to the personal mobile work platform; a preset task module is established in the background, and each task is presented on an interactive interface in a visual mode; in the application process, the user schedules the tasks on the interactive interface according to the requirement of the user and records scheduling information.
4. The plant scheduling optimization method of claim 1, wherein after an individual submits task data to a system, the plant scheduling optimization method further comprises: the system knows the actual completion progress of the planning operation according to the submitted task data, judges whether deviation is generated with the plan, and carries out scheduling in time if the deviation is generated.
5. The workshop scheduling optimization method according to claim 4, wherein during scheduling, a left mouse button is pressed in a visual operation interface, a work task node needing to be checked or operated is selected, a task addition scheduling event is triggered, and the object attribute corresponding to the task visual interface is stored in a memory stack;
in the process of scheduling the work task nodes, a task is scheduled to an external package task through clicking of a mouse, when the task is scheduled, the task scheduled on a visual interface triggers an element verification event, whether the task is matched with an empty task position or not is judged, and a corresponding prompt unit is called to display the task;
when the task scheduling operation is completed on the visual interface, the system automatically detects the matching state of the current task and the empty position, if the current task is not preset or is matched with the preset position, the visual interface of the task automatically restores the task storage area, and deletes the corresponding task identifier in the inner stack; if the task is matched with the current empty position, the program acquires the identifier of the current empty position, calls the task identifier in the stack, searches the corresponding task in the task database, reads the attribute and the task element of the task, assigns the task to the corresponding empty task position, and records the time and the priority information of the empty task.
CN202211532620.0A 2019-09-06 2019-09-06 Workshop scheduling optimization method Pending CN115700638A (en)

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