CN115700638A - Workshop scheduling optimization method - Google Patents

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

A workshop scheduling optimization method

This application is a divisional application of a patent application entitled "A Method for Optimizing Workshop Scheduling". The filing date of the original application is September 6, 2019, and the application number is 201910840045.2.

technical field

The invention relates to the field of schedule plan management and control on construction project sites, in particular to a workshop scheduling optimization method.

Background technique

At present, for workshop scheduling problems, scheduling functions (such as linear functions, neural networks, fuzzy methods, decision trees, etc.) and scheduling rules are often used. The functions of tasks and feedback to adjust the plan in real time are disconnected from each other, which also makes the on-site work situation deviate from the actual guidance plan, making it impossible to adjust in time. The gap between the actual guidance work and the superior plan cannot be communicated, making the plan float on the surface , unable to really guide the work on site and maintain consistency, this problem has been plagued by the whole process of workshop scheduling management and control.

Contents of the invention

The purpose of the present invention is to provide a method for optimizing workshop scheduling, which can avoid the problem of schedule lag caused by the disconnection between plan and actual progress, and improve the management and control ability of workshop on-site scheduling.

To achieve the above object, the present invention provides the following scheme:

A workshop scheduling optimization method, comprising the steps of:

Automatically execute the work plan based on the workshop task plan schedule model, and automatically assign the work tasks of individuals and equipment in the workshop; the workshop task plan schedule model is a dynamic physical model constructed based on the workshop task plan using the simulink simulation tool;

After an individual in the workshop completes a work task, he submits the task data to the system, and the system modifies the relevant attributes of the planned job according to the submitted task data, and inputs the parameters of the corresponding work task into the workshop task planning schedule model, to assign new tasks to that individual;

When the operating condition data of any equipment in the workshop falls into the preset fault threshold, the system sends an early warning message to the mobile terminal of the corresponding staff, and at the same time enters the code information of the faulty equipment into the workshop task plan progress model to Alternate scheduling of failed equipment or work tasks.

Further, the workshop task planning schedule model is driven by the virtual action module, and the corresponding analysis results are output by the virtual parameter module; after the virtual action module establishes a relationship with each element in simulink, the parameters are calculated within the specified range Changes are made to perform calculations and solutions for different parameters; the virtual parameter module is a logical unit inserted into the physical model that can directly obtain corresponding results or information targets.

Further, the automatic execution of the work plan based on the schedule model of the workshop task plan, and the automatic allocation of work tasks for individuals and equipment in the workshop, specifically include:

Create a workshop task plan, decompose and refine it layer by layer according to the overall target plan-annual plan-monthly plan-weekly plan, and associate individual work tasks with the weekly plan;

The planning service program automatically executes the plan according to the current time every day, and pushes the work tasks of the day to the personal mobile work platform; and establishes a preset task module in the background, and presents each task in a visual mode on the interactive interface; during the application process, the user Schedule tasks on the interactive interface according to your own needs, and record each scheduling information.

Further, after the individual submits the task data to the system, the workshop scheduling optimization method also includes: the system understands the actual completion progress of the planned operation according to the submitted task data, judges whether there is a deviation from the plan, and if there is a deviation, it will be carried out in time. scheduling.

Further, when scheduling, in the visual operation interface, press the left mouse button, select the task node that needs to be viewed or operated, trigger the task to add a scheduling event, and store the object attributes corresponding to the task visual interface in the memory stack;

In the scheduling process of the work task node, the outsourced task is scheduled by clicking on a task. When scheduling the task, the task scheduled on the visual interface will trigger an element verification event to determine whether the task is consistent with the empty task position. Match, call the corresponding prompt unit for display;

When the task scheduling operation is completed on the visual interface, the system automatically detects the matching status of the current task and the empty location. If the current task is not preset or matches the preset location, the task visualization interface automatically returns to the task storage area. And delete the corresponding task ID in the inner stack; if the task matches the current empty position, the program obtains the ID of the current empty position, calls the task ID in the stack, and searches the corresponding task in the task database and reads the The attributes of the task and the task elements are assigned to the position corresponding to the empty task, and the time and priority information of the empty task is recorded.

According to the specific embodiments provided by the present invention, the present invention discloses the following technical effects: combine the dynamic workshop task planning progress model with the task scheduling method, and use software advantages to effectively associate the actual progress of the workshop work site with the planned progress, avoiding To solve the problem of progress lag caused by the disconnection between the plan and the actual progress, by associating the plan with the individual work tasks, the personnel tasks can be executed efficiently around the workshop task plan, and the management and control ability of the workshop on-site scheduling can be improved.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the accompanying drawings required in the embodiments. Obviously, the accompanying drawings in the following description are only some of the present invention. Embodiments, for those of ordinary skill in the art, other drawings can also be obtained according to these drawings without paying creative labor.

Fig. 1 is a flow chart of the workshop scheduling optimization method of the present invention.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

As shown in Figure 1, an embodiment of the present invention provides a method for optimizing workshop scheduling, including the following steps:

S1. Realize the automatic execution of the work plan based on the schedule model of the workshop task plan, and realize the automatic allocation of work tasks for individuals and equipment in the workshop.

Specifically, step S1 includes:

Step 1. Create a workshop task plan, decompose and refine it layer by layer according to the overall target plan-annual plan-monthly plan-weekly plan, and effectively associate individual work tasks with the weekly plan.

Step 2. The planning service program automatically executes the plan according to the current time every day, and pushes the work tasks of the day to the personal mobile work platform; and establishes a preset task module in the background, and presents each task in the interactive interface in a visual mode; in the process of application In , users can schedule tasks on the interactive interface according to their own needs, and record the scheduling information.

The schedule model of the workshop task plan is a dynamic physical model, constructed by simulink based on the workshop task plan, driven by the virtual action module, and output corresponding analysis results by the virtual parameter module. The virtual actuation module is used to drive parameter changes. After establishing a relationship with each element in simulink, the 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 inserted into the physical model that can directly obtain corresponding results or information objects. Input various control commands through the visual interface to drive the virtual actuation module to execute the simulation analysis method cyclically, and feed back the results 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 results. .

S2. The individual completes the work task and submits it to the system. The system modifies the relevant attributes of the planned operation according to the submitted task data, and inputs the parameters of the completed task into the workshop task planning schedule model to realize the allocation of the new task of the individual. .

In this embodiment, in step S2, the individual completes the work task and submits it 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 there is a deviation from the plan, and schedule in time , to avoid the risk of schedule delay.

Specifically, when scheduling, in the visual operation interface, press the left mouse button, select the task node that needs to be viewed or operated, trigger the task to add a scheduling event, and store the object attributes corresponding to the task visual interface in the memory stack.

In the scheduling process of the work task node, the outsourced task can be scheduled by clicking the mouse on a task. When scheduling the task, the task scheduled on the visual interface will trigger an element verification event to determine whether the task is in the same position as the empty task. match, call the corresponding prompt unit for display.

When the task scheduling operation is completed on the visual interface, the system automatically detects the matching status of the current task and the empty location. If the current task is not preset or matches the preset location, the task visualization interface automatically returns to the task storage area. And delete the corresponding task ID in the inner stack; if the task matches the current empty position, the program obtains the ID of the current empty position, calls the task ID in the stack, and searches the corresponding task in the task database and reads the The attributes of the task and task elements are assigned to the corresponding empty task position, and the time, priority and other information of the empty task are recorded.

S3. When the operating condition data of a certain machine equipment falls into the preset fault threshold, the system starts the SMS automatic warning module to send a warning message to the corresponding staff mobile terminal, and at the same time enter the code information of the faulty machine into the workshop Task planning schedule model to enable scheduling of alternative equipment/work tasks.

In this paper, specific examples have been used to illustrate the principle and implementation of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; meanwhile, for those of ordinary skill in the art, according to the present invention Thoughts, there will be changes in specific implementation methods and application ranges. In summary, the contents of this specification should not be construed as limiting the present invention.

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.

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