20 results about "Total work" patented technology

To provide a pick-list-generating device capable of generating a pick list that does not depend on the ability of a worker.SOLUTION: The pick-list generating device for generating one or more pick lists based on the order of goods includes: a setting unit that receives setting of the shipping date and time for goods; and a generation unit that generates, based on the orders, shipping dates and times, and past work performance, one or more pick lists so that the productivity of one or more pick list items satisfies the specified criteria. The past work performance includes the working time required for workers to pick goods in past picking operations. The pick list specifies the order in which the workers pick the good items. The work productivity means the picking quantity of goods based on the pick-list with respect to the total working time of one or more workers assigned in the pick-list.SELECTED DRAWING: Figure 1

The application discloses an automatic control method for cutting edge wave defects of a cold continuous rolling steel coil, which comprises the following steps: first, the strip steel of the steel coil is divided into n sections according to the length direction of the steel coil with unit length as the position interval, and the temperature data of the n sections of the strip steel in the hot rolling process are respectively output to form a steel coil hot rolling temperature data set T; then, the total work roll bending force correction set value in the cold continuous rolling process is calculated according to the steel coil hot rolling temperature data set T, and the total work roll bending force correction set value is distributed to the work roll and the intermediate roll; finally, it is judged whether the bending force needs to be compensated in the continuous rolling process, and if the compensation is needed, the bending force compensation is performed; since the application can automatically compensate the bending force set value in the cold continuous rolling process to match the actual rolling force of the hot rolling steel coil, the problem of the cutting edge wave defects can be automatically solved in the whole process, and meanwhile, since no new device is added and only the cold rolling control method is improved, the cost is saved.

A robot control device (11) is provided with: a determining unit (33) for determining the progress status of first work in accordance with a work instruction; a search unit (35) for searching for a partner (17) capable of providing specific information for changing the progress status of the first work to a continuation-possible status if the progress status of the first work is a continuation-not-possible status; an estimating unit (37) for estimating the total work cost including second work for changing the progress status of the first work from the continuation-not-possible status to the continuation-possible status; a plan creating unit (38) for creating a work plan including the second work for the partner (17) on the basis of the estimated total work cost; and a control unit (39) for causing the work including the second work complying with the created work plan to be performed. The plan creating unit (38) creates the work plan so as to minimize the total work cost.

The invention provides a cargo containment system dispatching method, a medium and a terminal, and the method comprises the steps: obtaining the information of a cargo containment system cabin, and carrying out the coding of the cargo containment system cabin, so as to divide an operation region; counting the number of the studs in each operation area; according to the number of the studs, the original operation unit, the operation rhythm and the operation grade are determined; determining an operation mode of personnel dispatching based on the operation area, the operation rhythm and the operation grade; and calculating the total operation time length of each operation grade, judging whether the difference value of the total operation time lengths between every two operation grades is within a preset range or not, and if the requirement is not met, repeating the previous step to carry out personnel dispatching again until the requirement is met. By the adoption of the method, the installation preparation project period is shortened, and the construction efficiency is improved.

The application discloses a nuclear power overhaul plan dynamic adjustment method and device, characterized in that the method comprises the following steps: step S1, acquiring real-time data of a plurality of production management systems of a nuclear power plant, and combining the real-time data to perceive a real-time state of work; step S2, based on comparison between an overhaul plan and the real-time state, identifying a deviation event of plan execution, and based on the deviation event, estimating total work period delay; step S3, constructing a strategy rule library, wherein the strategy rule library comprises coping strategies for different deviation events; when the total work period delay exceeds a preset threshold, matching a corresponding coping strategy from the strategy rule library, and generating a corresponding adjustment scheme; step S4, based on the adjustment scheme, adjusting the overhaul plan, tracking adjustment effect, and based on effect tracking, optimizing the strategy rule library. The application can perceive plan deviation and automatically generate an adjustment scheme.

The invention relates to the technical field of material management, and discloses an intelligent material management method and system, and the method comprises the steps: carrying out the partitioning of a material warehouse, obtaining material warehouse regions, distributing a partitioning ID for each material warehouse region, obtaining the path topology of the material warehouse regions, distributing a storage space ID for each storage space in the material warehouse regions based on the partitioning IDs, and obtaining the path topology of the material warehouse regions; binding a material ID for the material when the material is stored in the warehouse position; obtaining a total work order of the batching task, splitting the total work order into subarea sub-work orders of each material warehouse area, and in each material warehouse area, dividing the subarea sub-work orders into task waves by taking time as cost according to the path topology and the warehouse position ID; and obtaining the state and the position of a material taking person, matching the task wave order according to the state and the position of the material taking person, and issuing the task wave order to the material taking person for execution. The method has the comprehensive advantages of low-cost deployment, high compatibility and expandability, and can effectively solve the problems of fixed bin position, low manual material taking efficiency, information isolated island and the like in traditional SMT material management.

A power efficiency calculation device includes a metrics collection unit that collects metrics from a physical server group, a task execution amount normalization unit that determines a normalization coefficient for each task of each application, an importance group setting unit that sets importance groups of each application and each task to determine weights, and a power efficiency calculation unit that normalizes a task execution amount using the normalization coefficient, calculates a total work output by using the normalized task execution amount and the weight of the importance group of the application and the task, and calculates power efficiency.

Method and machine to manufacture a coil around a component of an article includes a main conveyor that moves along a working path and a carriage with a seat to house the component. Along the working path, the component is arranged in the seat of the carriage in an input station, and at a winding station, a wire having a diameter less than 500 μm is directly wound around the component for a winding time ranging from 50% to 70% of the total work cycle, to obtain the coil with a number of turns less than 50. A work cycle lasts from an initial instant, in which the carriage carrying the component without the coil reaches the winding station, to a final instant, in which the carriage carrying the component with the coil leaves the winding station.

To provide a work analysis device capable of reducing the burden on a user to check work status by checking multiple tasks that seem inefficient at once, and / or checking multiple tasks with different efficiencies at once, and a work analysis method.SOLUTION: A work analysis device includes: a video acquisition unit that acquires video of footage of a specific task being performed multiple times by a worker; a work breakdown unit that calculates the total work time required for each task and non-work time during which no work was actually performed based on the video; a decomposition result display unit that plots the work on a coordinate plane with total work time and non-work time as the axes, and displays marks; a mark selection unit that selects a mark arbitrarily from the displayed marks based on the operation by the user; and a video display unit that displays the video of the work corresponding to the selected mark.SELECTED DRAWING: Figure 6

An operator's work efficiency can be evaluated. A sewing management system (1) has a sewing machine (2) and a management device (3), the management device (3) having: a calculation section (13) that calculates an overall efficiency of an operator using the sewing machine; and an information acquisition section (11) that acquires operation information (151) from the sewing machine in order to calculate the overall efficiency, the operation information including information for acquiring a start time and an end time of a sewing work performed by the operator using the sewing machine, a total work time for a plurality of work processes included in the sewing work, and an actual piece count for each work process, the calculation section calculating the overall efficiency of the operator based on a target processing time determined for each work process and the operation information acquired by the information acquisition section. In addition, the calculation section (13) can also calculate a process efficiency for each work process and evaluate the efficiency by process.

This disclosure relates to a method, apparatus, electronic device, and storage medium for determining a production calendar. The method for determining a production calendar includes: acquiring target resources required to produce a target product during a target time period; determining a target production line corresponding to the target resources and determining a first working duration, the first working duration representing the time required for the target production line to produce the target resources within the target time period; determining a production calendar matching the first working duration as an initial production calendar; determining time-influencing factors corresponding to the production of the target resources by the target production line within the first working duration, and determining the capacity loss duration corresponding to the target production line based on the time-influencing factors; adjusting the daily working durations recorded in the initial production calendar so that a second working duration obtained after adjusting the daily working duration becomes the first working duration, thereby obtaining a target production calendar, where the second working duration is the difference between the total working duration and the capacity loss duration of the initial production calendar. This disclosure improves the accuracy of the production calendar.

The application discloses a crane load spectrum compiling method, a computing device and a readable storage medium. The method comprises the following steps: acquiring hoisting data of a preset number of target cranes in at least one working condition within a preset time length; analyzing the hoisting data to obtain the number of each type of work cycle contained in each working condition; the work cycle refers to the process from starting to hoist an article to starting to hoist the next article; screening each type of work cycle according to the number, and determining the occurrence probability of at least one target type of work cycle obtained after the screening; determining the occurrence number of each target type of work cycle in the life cycle of the target crane according to the total work cycle number of the target crane in the life cycle and the occurrence probability; and determining the load spectrum of the target crane based on the occurrence number. In this way, the crane load spectrum can be conveniently compiled, and the compiling efficiency and applicability of the crane load spectrum are improved.

The invention discloses a crew workload determination method and device and electronic equipment, and belongs to the technical field of ship control. The method comprises the steps of obtaining an operation task of a ship; according to a task process of the job task, identifying associated information and hierarchical information of a task link in the job task, and decomposing the job task into a plurality of sub-tasks; according to the working environment and the task complexity of the subtask, determining an evaluation standard of the subtask; evaluating the task load component of each sailor in the ship for each sub-task according to the task property and the task requirement of the sub-task and the evaluation standard; and obtaining the total workload of the sailors executing the operation task according to the task load component and the cooperative relationship network between the sailors. The method can accurately evaluate the workload of the crew.

The invention provides a work recording performance verification method and system for task construction period overlapping. The method comprises the steps that a newly-added work recording order of a target worker and an associated work recording order associated with the newly-added work recording order are acquired; determining a work recording period group based on the first work recording period of the newly added work recording order and the second work recording period of the associated work recording order; obtaining daily total work recording performance and daily total work recording time in the work recording period group; acquiring an hour performance work-recording upper limit and a daily performance work-recording upper limit; performing hour performance pre-verification based on the hour performance work recording upper limit, the daily total work recording performance and the daily total work recording time; and performing daily performance verification based on the daily performance work-recording upper limit and the daily total work-recording performance when the verification result of the daily performance pre-verification is passed. The system comprises a first acquisition module, a determination module, a second acquisition module, a third acquisition module, a first verification module and a second verification module.

The invention discloses an operation and maintenance work saturation evaluation method and device, equipment and a medium, and relates to the technical field of operation and maintenance management, and the method comprises the steps: obtaining daily report data of a target operation and maintenance worker in a single-day operation and maintenance period, and the daily report data at least comprises an operation and maintenance action type, a shop address and an equipment state corresponding to each operation shop; predicting the operation and maintenance time consumption of the target operation and maintenance personnel in each operation shop according to the operation and maintenance action type and the equipment state, and determining the travel time consumption between any adjacent operation shops according to the shop address; accumulating the operation and maintenance time consumption and the travel time consumption to obtain the total working time length of the target operation and maintenance personnel in the single-day operation and maintenance period; and evaluating the operation and maintenance work saturation of the target operation and maintenance personnel according to the total working time length to obtain a saturation evaluation result. According to the method, the number of operation and maintenance actions, the spatial distribution of operation and maintenance work and the actual time consumption difference are concerned at the same time, and the actual workload and saturation of operation and maintenance personnel can be accurately quantified.

A system for generating task schedules using an electronic device includes: a processor, the processor comprising neural networks; a memory coupled to the processor; a scheduler coupled to the processor, the scheduler is configured to: receive: a total work database configured to contain items representing work packages; a resources database configured to contain items representing resources required to fulfill items in the work packages; a constraints database configured to contain items representing constraints to fulfilling items in the work packages; and a scheduling objective database configured to designate a prime objective that is to be achieved by the optimum task schedule; provide a trained reinforcement learning engine for optimizing the task schedule based on inputs from the databases; and generate an optimum work package schedule to sequence the work packages using the trained reinforcement learning engine, wherein the optimum work package schedule maximizes the one or more prime objectives.

The invention provides a production scheduling optimization method and system based on a genetic algorithm. The method comprises the following steps: acquiring work order data, mold process data and resource data required in production scheduling; based on the work order data and the mold process data, determining the theoretical total working hour of the working procedure corresponding to each work order, and based on the resource data in combination with a production resource calendar, determining the actual available duration of each production device in each shift in the future; based on the work order data, the mold process data and the resource data, constructing a coding rule taking a process priority sequence as a core, and performing population initialization based on the coding rule and a pre-constructed decoder to obtain an initial scheduling scheme; and performing fitness evaluation and evolution iteration based on the initial scheduling scheme, the theoretical total working hours of the working procedures and the actual available duration to obtain an optimal global scheduling scheme which is high in equipment utilization rate and meets multiple constraints. The scientificity and execution efficiency of the scheduling scheme are improved.

The invention relates to an intelligent capacity balance optimization method applied to a multistage supply chain, and the method comprises the following steps: S1, inputting the market demands of different products into a database of a company server, and generating a production task of each product; s2, obtaining standard working hours of production of each product, and determining the production working hours and the total working hours of each product in the production task; s3, according to the total working hours of the production tasks, the distributable working hours of all the production units in the set time are screened in the server, and a first batch of production units are obtained through screening; s4, screening a second batch of production units in the first batch of production units according to a set condition, and distributing the order of the production task to the second batch of production units; and S5, acquiring a server position of a second batch production unit, and issuing the production task to the server position. According to the method, the supply chain management process and capability are optimized, the order allocation time is shortened, the allocation accuracy is improved, and the allocated market orders are more reasonable.

The invention relates to the technical field of process management, and discloses a production process station arrangement method and system based on big data, and the method comprises the steps: obtaining process information, an employee expectation salary and an employee historical production record, mapping a process name into a process vector through a text embedding model, and generating a process classification name according to a similarity threshold; the method comprises the following steps: calculating employee production efficiency and employee production frequency according to employee historical production records and process classification names, forming an employee skill grade evaluation table, enabling skill evaluation to be stable under double calibers of category and statistics, dividing in-line process information and out-line process information according to in-line marks, and generating an in-line arrangement result; and calculating an off-line station threshold value according to standard working hours and employee expected salaries, comparing off-line station total working hours, executing process migration and employee adjustment in an over-limit manner, directly outputting an off-line arrangement result in a non-over-limit manner, and finally writing an in-line arrangement result and an off-line arrangement result into an MES database, thereby reducing arrangement iteration and improving scheme performability.

The invention relates to the technical field of power equipment management, and discloses a work ticket-based zero purchase equipment optimal configuration method, which comprises the following steps of: obtaining a maintenance work ticket set of a target unit, and extracting parameters such as equipment types, quantity and operation time from the maintenance work ticket set; effective work tickets related to the target equipment are screened out; for each effective work ticket, according to the equipment number and the work period, the number of parallel work units needed by each effective work ticket is converted, namely the number of working faces of a single ticket; mapping the working face number of each ticket to a natural day according to the working time and summarizing day by day to obtain the daily total working face number; taking the maximum value in all daily total working face numbers as the maximum working face value; and finally determining zero purchase equipment configuration according to the maximum working face value. According to the method, the historical maintenance work ticket is analyzed, the single-ticket concurrent operation requirement is converted, and the maximum concurrent work face value in the time dimension is extracted, so that an objective quantitative reference is provided for zero purchase equipment configuration, and the first-line operation guarantee capability is improved fundamentally.