33 results about "Gantt chart" patented technology

The invention discloses an intelligent production scheduling method and system based on a fixed sequence genetic algorithm. The method comprises the following steps: dividing independent production areas of a workshop; key operation is determined, and modeling is carried out on time of the key operation; generating a process set containing a fixed sequence key job based on a process path, performing crossover variation by using an improved genetic algorithm, and keeping the sequence of internal processes of a task unchanged to avoid an invalid solution; and calculating the shortest processing duration through population iteration, and generating a production scheduling Gantt chart. The system comprises a workshop function area module, a key operation type module, a key operation modeling module and a production scheduling result output module, so as to realize the output of an intelligent production scheduling result. The method improves the production scheduling efficiency and the applicability of the production scheduling result, and is suitable for complex production scenes such as electronic assembly and cabinet debugging.

This technology generates suggested commands based on the status of a Gantt chart, allowing users to easily manipulate the Gantt chart. [Solution] An information processing device comprising a processing device and a display device, wherein the processing device displays a Gantt chart on the display device, generates command suggestions in natural language format based on the status of the Gantt chart, displays the command suggestions on the display device, accepts a command selected by the user from among the command suggestions, and modifies the configuration information of the Gantt chart based on the selected command.

The present application belongs to the technical field of workshop production scheduling optimization, in particular to a flexible workshop scheduling method and system based on a hybrid whale optimization algorithm. The method comprises S1, analyzing the flexible workshop scheduling problem and determining the mathematical model of FJSP; S2, continuously processing the discrete workshop scheduling; S3, initializing the position of the whale individual in the whale optimization algorithm through Tent chaotic mapping; S4, calculating the fitness of all whale individuals; S5, updating the whale position; S6, searching the neighborhood structure; S7, judging whether the number of whale position updates reaches the maximum iteration number, if not, returning to step S4, if yes, continuing to step S8; S8, outputting the best whale position; S9, outputting the maximum completion time of the found machine and drawing a Gantt chart. The present application has the characteristics of enhancing the local search ability of the whale optimization algorithm, thereby realizing the reasonable allocation of workshop scheduling and improving the production efficiency.

The invention discloses a Gantt chart visualization conflict early warning and scheduling automatic adjustment method and system, and belongs to the technical field of production management, and the method comprises the steps: obtaining the planning time of a newly-added scheduling order, carrying out the conflict detection of the newly-added scheduling order and a scheduled order, and generating a conflict early warning and operation option if there is a conflict; in response to user operation, chain time rearrangement is automatically carried out on the affected orders according to a multi-objective optimization scheduling algorithm; according to the method, conflict information, operation results and scheduling data are visualized in real time through a Gantt chart, user interactive editing and real-time conflict verification are supported, and the system comprises a conflict detection module, an automatic adjustment module and a visual scheduling module which are used for achieving the functions, so that real-time early warning, automatic chain adjustment and visual interactive closed loop of scheduling conflicts are achieved. The problems that in traditional scheduling, conflict discovery lags behind, adjustment depends on manpower, and decision making is not visual are solved, and the automation and intelligence level and response efficiency of scheduling are improved.

This invention relates to the field of data processing and discloses a method, apparatus, computer device, and readable storage medium for generating Gantt charts. The method includes: acquiring user stories of the iterative process of a target task; determining the iteration data corresponding to each user story; determining the cycle of each task and the task completion progress of each target task subject, thereby obtaining the individual work status of each target task subject; and finally, generating a Gantt chart based on the iteration tag, cycle, task completion progress, iteration plan start time, iteration plan end time, and each target task subject. Based on this, the present invention enables the Gantt chart to display the work status of different target task subjects under the same target task, and to reflect the overlap of R&D resources / development resources in the development process of the target task, thereby clearly displaying the development progress of the target task.

The invention discloses a production prediction method for a flexible manufacturing system. The production prediction method comprises the steps of 1, setting algorithm preconditions and scheduling strategy requirements, 2, constructing a core element model, and 3, executing production whole-process simulation prediction. The method effectively solves the problem of production prediction of a flexible manufacturing system caused by uncertainty of varieties, processes and cutters and influence of a scheduling strategy, can simulate the whole production processing process, outputs multi-dimensional results such as work order completion time, a blank and cutter preparation list, a production Gantt chart, a production trend chart and an equipment starting rate, and improves the production efficiency. And reliable data support is provided for a user to adjust a production plan and configure resources.

This invention discloses a flexible job shop scheduling method and system based on a hybrid sandcat optimization algorithm. The method includes the following steps: S1, reading information from a standard format flexible job shop scheduling problem example, and storing the machine information, machine processing time information, and workpiece information in a list for classification; S2, randomly generating multiple feasible process codes and machine codes based on a two-stage coding rule as an initial population; S3, using the obtained initial population, setting the sandcat sensitivity, iteratively optimizing the process codes using a hybrid sine and cosine algorithm of the sandcat optimization algorithm, and updating the machine codes using a uniform crossover operator; S4, recording the minimum maximum completion time in the population after each iteration, and outputting the Gantt chart of the optimal solution obtained by the algorithm after the iteration. This invention solves the problem of inaccurate manual scheduling calculations in industrial production, which requires a large amount of human resources.

The invention provides a production schedule Gantt chart drawing method, device and equipment for a semiconductor factory, and belongs to the field of semiconductor manufacturing, and the method comprises the steps: receiving work order schedules of all processing machines, and determining the time granularity of a time axis of a Gantt chart according to the work order schedules; constructing a data structure hierarchy corresponding to the processing machine to display the association between the business scenes; receiving a real-time Gantt chart fed back by rendering, receiving interface data corresponding to each processing machine, calculating the interface data, and drawing task bars forming a business scene according to time granularity through each Gantt chart component to obtain a real-time Gantt chart corresponding to the work order schedule; and displaying the real-time Gantt chart so as to carry out dragging modification on the task bar, and outputting the real-time Gantt chart after dragging verification. According to the processing scheme provided by the invention, different Gantt chart levels are designed for different types of machine processing flows in a semi-conductor factory, and an association relationship is established; and the page time axis granularity can be adjusted, and more comprehensive information can be displayed.

The invention discloses an industrial production line scheduling method based on Gantt chart driving, and relates to the field of industrial production line scheduling, and the method comprises the following steps: defining production line scheduling scale parameters and constraint conditions; the constraint conditions are converted into Gantt chart visual coding rules, multi-channel coding is carried out in combination with production line scheduling scale parameters, and a structured Gantt chart is constructed; carrying out production process simulation, and extracting operation variables to calculate a total cost value; constructing an annotation data set to carry out image generation model training; and generating an initial Gantt chart based on to-be-scheduled production line configuration parameters, inputting the trained image generation model, obtaining a complete Gantt chart, and outputting a scheduling result. According to the method, multi-dimensional industrial constraints are fused into multi-channel visual coding of a Gantt chart, and semantic rules are embedded in the generation process in combination with a diffusion model, so that visual integration of a production scheduling scheme, closed-loop cost optimization and intelligent generation of physical feasibility are realized.

The invention relates to an order process merging workshop scheduling method and system based on operation level constraints. The method comprises the steps of obtaining production data; establishing a mixed integer programming scheduling model taking the minimization of the maximum completion time and the minimization of the assembly time as targets; order combination constraints, process combination constraints and operation level constraints are integrated in the mixed integer programming scheduling model; and an improved grey wolf optimization algorithm is established to solve the mixed integer programming scheduling model, an optimal scheduling scheme is output, the improved grey wolf optimization algorithm combines a double-layer coding scheme of three constraints, a mixed initialization population strategy and an improved hunting mechanism, and a variable neighborhood search and simulated annealing dynamic acceptance mechanism is integrated, so that the optimal scheduling scheme of the hybrid integer programming scheduling model is obtained. Global exploration and local development capabilities are enhanced, so that an optimal scheduling scheme is obtained; and finally outputting the dispatching Gantt chart and issuing and executing. The scheduling problem caused by a complex assembly relation and too long preparation time in multi-variety small-batch production is effectively solved, and the production period is remarkably shortened.

The present application relates to a kind of based on production plan fusion's steel enterprise demand mixed prediction and collaborative optimization method and system, belong to plan scheduling technical field.Based on production plan fusion's steel enterprise demand mixed prediction and collaborative optimization method includes using 5G mobile network and wired network to the power system electricity data is collected, and based on mechanism model, electricity load is classified and predicted;Time series superimposed prediction result, estimate future time period demand value;Synchronous user production plan, generate and electricity load linkage's gantt chart, realize visualization;According to optimization adjustment strategy, generate electricity process adjustment strategy.Effectively solved the technical problem of traditional single prediction model in the face of steel production multi-process, complex load fluctuation industry, significantly improve the robustness and adaptability of prediction system.

The invention provides a log processing method and device for drug screening, equipment and a storage medium, and the method comprises the steps: A, obtaining a running log generated in a drug screening process, and converting the running log into an event structured entry to construct a dual index; step B, according to the reverse index, aggregating all structured event entries associated with each material identifier to obtain a task node corresponding to each material, and generating a hierarchical mapping structure of the task node; c, aiming at the execution result code contained in each task node, generating a state identifier, performing verification at the same time, and if the states of different log sources conflict, generating a verification state; and step D, for each task node, according to the execution condition of the sub-steps of the task node, determining the percentage progress, drawing a Gantt chart, and displaying the Gantt chart on a visual interface. By adopting the technical scheme, the abnormality can be found in time by providing a visual interface, and the abnormality response time is shortened.

The invention discloses a project scheduling optimization method based on resource limitation, which comprises the following steps: a model construction step: constructing a project scheduling optimization model under the conditions of resource limitation and uncertain number of project tasks; an objective function determination step: determining an objective function of the project scheduling optimization model by taking the shortest construction period of the delivery project task as an objective; and a model solving step: combining a genetic algorithm and a simulated annealing algorithm to generate a final project scheduling optimization scheme. According to the invention, a chart for representing a personnel-time arrangement mode under the condition of multiple tasks is created according to a set mathematical model, and compared with a Gantt chart, the chart can more intuitively display the work participated by each personnel and the starting and ending time of the work.

This application proposes a heterogeneous multi-core scheduling method and apparatus for maritime unmanned equipment, relating to the field of edge computing heterogeneous multi-core task scheduling. The method includes: acquiring processing tasks and describing their constraints using a directed acyclic graph (DAG); executing the processing tasks using processing cores; ensuring that the processing time and total energy consumption of the processing cores satisfy preset constraints; acquiring a scheduling scheme that satisfies the constraints, and obtaining a first processing time and a first total energy consumption under the scheduling scheme; generating corresponding Gantt charts and energy consumption charts based on the first processing time and first total energy consumption; and adjusting the adaptive dynamic voltage-frequency adjustment (DVFS) technique of the scheduling scheme based on the constraints of the processing tasks, the Gantt chart, and the energy consumption chart. By monitoring task processing time and energy consumption, and leveraging the idle status of processing cores and the constraints of local tasks, the DVFS level is adjusted to compress idle time and reduce energy consumption.

The invention provides a task optimization management method and system based on artificial intelligence, and relates to the technical field of task management, and the method comprises the steps: determining a plan start moment, a plan end moment, execution condition information and execution result information of a sub-task, determining a task graph structure, generating task execution information after a target task starts, and storing the task execution information in the task graph structure; and when the task execution cycle is finished, acquiring actual task execution condition information, and updating the task graph structure. And after the target task is completed, determining a target task performance management index. According to the method and the device, the task graph structure can be automatically obtained based on the Gantt chart of the target task, so that the optimal flow of task execution is obtained, the task execution efficiency is improved, the task execution information can be automatically generated, a clear task execution target can be formulated, and the execution efficiency is favorably improved. The task execution efficiency can be improved through continuous adjustment and optimization, and the target task performance management index can be determined, so that the task execution is effectively supervised.

A comprehensive scheduling method considering deterioration factors is characterized by the following steps: First, for the initial production processing sequence, when equipment conflicts occur, the processing order of the processes is determined based on path length and deterioration factors; second, the occupancy status of processing equipment is determined using deterioration factor-related inequalities; finally, for the deterioration process scheduling order problem, when the processing equipment is not occupied at the time of the deterioration process, a deterioration factor waiting judgment strategy is adopted to determine the process processing order; when the processing equipment is occupied at the time of the deterioration process, a deterioration factor delay hedging strategy is adopted to determine the process processing order; a product process scheduling Gantt chart is generated based on the process processing order, and finally production is arranged according to the scheduling Gantt chart; this invention is used for a comprehensive scheduling problem considering deterioration factors.

The invention relates to the technical field of natural language processing, and particularly discloses a project plan Gantt chart generation method and device, computer equipment and a medium. According to the method, the initial management process can be automatically generated according to the to-be-analyzed file and the business knowledge graph, the process is adjusted according to the execution result of each process node in the execution process, and the project plan Gantt chart is generated, so that automatic generation and dynamic optimization of the project plan Gantt chart are realized, manual participation is not needed, and the efficiency is improved. And the generation efficiency of the project plan Gantt chart is improved. The method is applied to management process generation business of projects such as financial product development and medical tool research and development, the generation efficiency of the project management process can be improved, the management process can be dynamically optimized according to the execution result of each process node, and the management efficiency of the projects such as product development and tool research and development is improved.

The invention relates to the technical field of computers, and relates to a project management system and method. Wherein the declaration module is configured to respond to a template selection operation, load a form and fill in guide information, verify the writing content of the form, and generate a project declaration according to the filled content passing the verification; the collaborative approval module is configured to determine a target approval mode, send the project declaration to an approval role according to the target approval mode, record approval operation information and timestamp information of the approval role, and obtain an approval result and approval chain information; the contract generation module is configured to extract approval key information to determine a target term and fill a contract template, and output a finalized contract; the task disassembling module is configured to determine tasks, a dependency relationship and performance nodes according to a finalization contract, generate a project Gantt chart, and allocate the tasks in response to a confirmation operation on the project Gantt chart; the risk assessment module is configured to perform risk assessment; and the acceptance management module is configured to perform project acceptance.

An object of a system according to an embodiment is to improve the efficiency of schedule reminding, schedule arrangement, and progress management in project management.SOLUTION: A system according to an embodiment includes a reminder unit, a schedule creation unit, an organization unit, a Gantt chart creation unit, and a progress management unit. The reminder unit reminds the user of a plan set in the calendar. The schedule creation unit creates a new schedule item. The organization unit organizes the schedule. The Gantt chart creation unit creates a Gantt chart. The progress management unit manages a progress status.SELECTED DRAWING: Figure 1

According to the UAF model-oriented Gantt chart construction method and device provided by the invention, automatic derivation of Gantt chart construction data is realized through the UAF model maintenance engine and the UAF model driving engine, and automatic drawing of a graph is realized through the Gantt chart drawing engine; dynamic drawing of a Gantt chart cycle is realized through a user-defined unit time width conversion formula and a time positioning coordinate point formula, so that flexible switching of a cycle layer is supported.

The application discloses a man-machine cooperation assembly planning method considering worker skills and human risk, and the method comprises the following steps: determining the priority relationship, assembly time, worker skill coefficient and occupation repetition index of an assembly task; establishing a mixed integer linear programming model with the minimum tact time, the minimum occupation repetition index and the minimum workstation load balance index as targets; designing a Q-learning artificial bee colony algorithm to solve the mixed integer linear programming model, wherein the algorithm adopts a four-section coding strategy and a decoding mode of minimizing the tact time, a directional search mechanism of action combination of Q-learning is fused in the observation bee stage, and an improved neighborhood search strategy is implemented in the scout bee stage, so that an optimal assembly scheme is output; and generating a man-machine cooperation assembly Gantt chart and a work schematic diagram according to the optimal assembly scheme, so as to guide actual assembly production. The application effectively improves assembly efficiency, reduces the occupational health risk of workers and balances the workstation load.

The invention provides a Gantt chart processing method and device, computer equipment and a storage medium. The method comprises the steps that S1, effective tasks at the current moment are screened out; s2, grouping and sorting the effective tasks; s3, converting the grouped and sorted effective tasks into task block data structures provided for Gantt chart components for rendering; s4, the Gantt chart component generates a task block corresponding to the effective task with the interactive operation function in the Gantt chart view based on the task block data structure; s5, monitoring whether the task block displayed in the Gantt chart view triggers rearrangement and / or task data automatic updating, and if yes, returning to the step S1; and if not, continuing to execute the monitoring task. According to the method, the operation action of the user on the task blocks in the Gantt chart view is monitored, and the block arrangement parameter of each task block in the Gantt chart view is adaptively adjusted according to the operation action, so that the overall block arrangement effect of the Gantt chart on each task block is improved.

The application provides a power outage scheduling method and system based on shapely value explanation of reinforcement learning, and belongs to the technical field of power outage scheduling. The method comprises the following steps: defining a multi-objective reward function; initializing a value function of a reinforcement learning model; iteratively updating a policy network and a value network to optimize scheduling decisions; calculating the contribution of each input feature to the scheduling decisions by using a shapely value, and generating a feature importance ranking; constructing a dynamic adjustment mechanism to correct the reward function parameters, and generating an optimized power outage scheduling strategy; and using a comparative Gantt chart to visually display the execution differences, so as to realize precise decision-making and enhanced explanation of power outage scheduling. The application calculates the contribution of each input feature to the scheduling decisions by using a shapely value, so that the model decision logic is quantifiable and interpretable, not only enhancing the trust of scheduling personnel in intelligent strategies, but also providing a clear direction for strategy optimization and improving the scene adaptability of the scheme.

The application relates to the technical field of production scheduling, and discloses a production scheduling visualization method based on big data. The method first collects multi-dimensional production data such as real-time equipment states, material inventories, personnel skills and order delivery dates, generates a four-dimensional dynamic constraint model through a dynamic constraint modeling algorithm, obtains an initial scheduling scheme through a mixed integer programming and improved genetic algorithm double-driving optimization engine, inputs the initial scheduling scheme into a visualization interaction module, displays the result in a drag-and-drop Gantt chart and detects resource conflicts in real time, and updates the model after the feasibility of the adjusted scheduling scheme is verified through a dynamic recalculation algorithm. The application integrates multi-dimensional data, realizes production scheduling optimization and visualization, can effectively solve production resource conflicts, improves production efficiency, reduces costs and provides an efficient solution for enterprise production management.

An information display method and apparatus, and an electronic device. The information display method comprises: displaying a Gantt chart for a project (101), wherein the Gantt chart comprises at least two entries, and the entries indicate items in the project; and in response to an editing operation, displaying an association identifier between the two entries of the Gantt chart, and establishing an association relationship between the items indicated by the two entries corresponding to the association identifier (102). Thus, a new information display method is provided.

The invention discloses a scheduling method for an aero-engine test assembly workshop based on deep reinforcement learning, and belongs to the technical field of industrial scheduling, and the method comprises the steps: obtaining a workshop state containing station, team and task information; a scheduling mathematical model for processing semi-finished product station occupation and multiple disturbance factors is constructed, and minimization of the maximum completion time and guarantee of rescheduling feasibility are taken as targets; constructing a deep reinforcement learning model fusing topological sorting and improved near-end strategy optimization, performing feature extraction, fusion and state regularization on workshop state information, and inputting the workshop state information as a model; and training the model by utilizing the training data set, inputting tasks and states of a next period, and outputting a scheduling Gantt chart for guiding production. According to the method, the complex production characteristics of aero-engine test assembly can be accurately represented, the task dependency relationship and various disturbances are effectively processed, and the dynamic adaptability, the optimization capability and the visualization level of a scheduling scheme are improved.

The invention belongs to the technical field of manufacturing industry production planning and scheduling, and particularly relates to a scheduling method based on bidirectional scheduling and resource adaptation. The method comprises the steps that a component list is imported, and process parameters are initialized; selecting a two-way scheduling mode according to a production target, and calculating a time node of each process; the bidirectional scheduling mode comprises forward scheduling and reverse scheduling; the resource capacity is used as a grouping cardinal number, the resource load of each process is balanced through a grouping rolling adjustment strategy, and the time node associated with each process is updated in a linkage manner; and determining a resource demand index and production efficiency based on the updated time node of each process, and visualizing a scheduling result in a Gantt chart form. Through automatic data import, bidirectional scheduling calculation and logic optimization, the whole-course computerization of the scheduling process is realized, and the plan making time is greatly shortened.

This invention provides a method and apparatus for constructing Gantt charts for UAF models. It achieves automatic derivation of Gantt chart construction data through a UAF model maintenance engine and a UAF model driving engine, achieves automatic drawing of the graph through a Gantt chart drawing engine, and achieves dynamic drawing of the Gantt chart period through a custom unit time width conversion formula and a time positioning coordinate point formula, thereby supporting flexible switching of the period layer.

The invention belongs to the technical field of child severe risk prediction, and discloses a child severe mycoplasmal pneumonia risk prediction method based on a dynamic column graph, and the method comprises the following specific steps: 1, receiving user input, and receiving multiple clinical indexes of a child patient input by a user through a Web interface; 2, sending data, and automatically sending the input data to a server without refreshing a page; and step 3, risk prediction model calculation: the server calls a pre-stored risk prediction model to carry out processing calculation so as to obtain a risk probability value. The quantitative prediction model pre-trained in the background and based on the multi-dimensional clinical data is called for calculation, a subjective judgment mode depending on the personal experience of a doctor is abandoned, the model is obtained based on large-scale clinical data training, the weight and the structure of the model are fixed and objective, the system outputs an accurately quantified risk probability value for each child patient, and the accuracy of the risk probability value is improved. And missed judgment or misjudged judgment caused by experience difference of doctors is greatly reduced.

The invention discloses an advanced production scheduling method and system based on a data operation optimization algorithm, and mainly relates to the technical field of intelligent manufacturing and industrial engineering. Comprising the steps of collecting real-time production data, and performing data cleaning and standardization processing; configuring a process constraint condition based on the visual interface, and performing conflict detection through a constraint verification engine; constructing a multi-target optimization function, and automatically adjusting the weight of each target according to a production scene by adopting a dynamic weight distribution algorithm; scheduling solution is carried out by using a hybrid intelligent optimization algorithm; for a dynamic event triggering increment solving mechanism, only orders and equipment in an affected range are rearranged; a scheduling result is output and visually displayed through a Gantt chart, execution deviation is monitored in real time, and early warning is triggered; and the next day target weight is automatically optimized based on daily production KPI feedback, and scheduling-execution-feedback closed loop iteration is realized. The method has the beneficial effects that multi-target efficient collaborative optimization and minute-level real-time response are realized.