8 results about "Total work" patented technology

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 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.

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 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.