62 results about "Work hours" patented technology

The invention discloses a scheduling optimization method and device, and the method comprises the steps: inputting external dynamic data and internal scheduling data into a compliance risk factor model, and outputting values corresponding to different risk factors; performing standardization processing on values corresponding to the risk factors to obtain feature vectors, inputting the feature vectors to the man-hour compliance prediction model, and outputting compliance risk prediction results including quantitative prediction results of overtime overrun probability, on-duty compliance rate and policy adaptation deviation rate; a target scheme type is matched based on the compliance risk prediction result, the scheduling scheme is determined based on the target scheme type, and the scheduling scheme comprises a remote office scheme, a shift adjustment scheme, an elastic man-hour scheme and a substitute scheduling scheme. The compliance risk is predicted based on the multi-source data, and the scheduling scheme is intelligently determined based on the compliance risk, so that the defects of manual scheduling can be overcome.

To enable smooth job recruitment.SOLUTION: A job offer management system includes a publication unit configured to collectively publish job offers, for work hours to which no staff member has been assigned, to job seekers belonging to a predetermined segment on the basis of work schedule information indicating work schedules.SELECTED DRAWING: Figure 1

The present application relates to the technical field of computer, in particular to a kind of experience-based field technician scheduling method and system, method includes: obtaining scheduling input data, including the directed graph of node and task node, travel time, available technician set, skill domain information, proficiency level, skill domain demand and demand proficiency level, income, task time window, work time window, service duration mapping relationship;According to proficiency level and demand proficiency level, compatible relationship is generated and experience-related service duration is calculated;Under the feasibility constraint, scheduling scheme is constructed, task node unique allocation is satisfied, job route is started from node and returns node, service starting time is determined according to travel time and experience-related service duration to satisfy time window;Heuristic insertion generates initial scheduling scheme;Iterative local search generates neighborhood, temperature parameter probability acceptance, disturbance and cooling;The optimal scheduling scheme is output to maximize the income.The present application can solve the problem of inaccurate time consumption estimation and insufficient plan robustness caused by the fact that the experience / proficiency of technicians is not explicitly reflected in the existing field technician scheduling.

A system is provided.SOLUTION: A terminal means for collecting vital data of a craftsman, a server means for receiving and storing the vital data transmitted from the terminal means, a generation AI algorithm means for analyzing a work time and a movement time of the craftsman by the server means and generating an optimum schedule, a notification means for transmitting the schedule generated by the server means to the terminal means, and an improvement means for transmitting performance data of the craftsman from the terminal means to the server means and performing re-analysis.SELECTED DRAWING: Figure 1

The present application relates to the technical field of train dispatching, in particular, the present application relates to a kind of train service work order priority dynamic scheduling method and system based on multi-modal fusion, real-time acquisition work order multimodal data in the present application, fusion structured field, fault text semantics and visual features by cross-modal semantic alignment model, generate work order feature vector, combine basic weight rule set to calculate initial priority;Monitoring work order time limit difference, emergency order superposition incremental emergency promotion coefficient with difference reduction;Based on the number of load work order, work hour saturation and mobile state calculation master resource utilization rate, high load area inhibits the priority of non-emergency work order, and is preferentially assigned to idle master;Finally, according to work order priority weight global ordering, combine master real-time state and position, generate optimal allocation instruction execution scheduling, realize multi-modal information and resource state coordination, balance work order time limit and regional load, improve scheduling efficiency and resource utilization rate.

The application relates to the technical field of architectural design, in particular to a project work hour statistical analysis system for architectural design application behavior monitoring and algorithm analysis, which comprises a page behavior record module, a task trajectory generation module, a project identification collection module, a personnel time consumption verification module and an error offset tracking module. In the application, a task window and an operation path sequence in design software are extracted, irrelevant operation contents are removed, a task behavior chain is reconstructed, a clear task execution structure is formed, a continuous operation time period is aggregated by combining task attribution information, a precise mapping relationship between behavior data and project content is established, effective work hours and responsible personnel are matched and compared after collection, a time offset section between behavior records and declaration data is identified, an offset rate is quantified, and work hour declaration rationality is determined, so that dynamic checking and precision improvement of the work hour distribution and the task corresponding relationship are realized.

To calculate projected labor costs that more accurately reflect actual costs. [Solution] The cost accounting unit 102c obtains employee, work content, and work time from the daily report data stored in the storage unit 106, refers to the employee master 106e to obtain the planned man-hour unit price code using the employee as the key, refers to the work content classification determination master 106b to obtain cost elements using the obtained work content as the key, refers to the planned man-hour unit price master 106d to obtain the planned cost (standard unit price, multiplier) using the obtained planned man-hour unit price code and cost elements as the keys, and calculates the planned labor cost for each cost element for the obtained employee by multiplying the planned cost by the work time.

The application discloses an integrated warehouse logistics personnel equipment input estimation decision support method, relates to the technical field of intelligent warehouse logistics, and comprises the following steps: acquiring historical throughput, current inventory, order to be processed and planned business activity type data of a target warehouse logistics area; obtaining predicted throughput of each time unit in a target estimation period, correcting the predicted throughput, combining a preset work hour quota data table, calculating baseline personnel work hour demand and baseline equipment work hour demand; converting the baseline equipment work hour demand and the baseline personnel work hour demand into theoretical equipment input quantity and theoretical personnel input quantity of each time unit respectively, matching the theoretical equipment input quantity and the theoretical personnel input quantity with actual available equipment quantity and actual available personnel quantity, and generating an equipment time-sharing deployment plan and a personnel time-sharing scheduling plan. The application can improve the accuracy and matching of resource input estimation, reduce resource idling, and improve the operation efficiency and resource utilization level of a warehouse logistics system.

The present invention relates to the work environment adaptation method for buildings and a system for realization the adaptation method that creates a certain effect and analyses levels of a person's performance and happiness taking into account the current work environment in a fixed or mobile workplace. Such systems make it possible to analyse and improve the overall labour efficiency, and in particular the maintenance and extension of the period of valuable human performance, and allow making changes to work environment data to adjust them to an employee's short- and medium-term responses. This system is based on long-term research and makes use of the advances in artificial intelligence (Al) and affective computing systems.

To provide a work analysis device, a work analysis method, and a program capable of analyzing a work time of a worker for a moving workpiece.SOLUTION: A work analysis device 100 generates and outputs information on a work execution status of a worker M who works in a manufacturing line including a plurality of processes A, B, and C, using an image obtained by capturing the worker M, and includes an acquisition unit 11 that acquires the image, a setting unit 15 that sets, around a workpiece W, a work area WA in which the worker M performs work on the workpiece W, a calculation unit 23 that calculates a work time of the worker M based on when the worker M enters the work area WA and when the worker M exits the work area WA, and an output unit 26 that outputs the work time.SELECTED DRAWING: Figure 3

To provide an attendance management program, an attendance management method, and an information processing apparatus configured to properly visualize working conditions of healthcare workers, on duties of the healthcare workers.SOLUTION: In an information processing apparatus 100, a first display processing unit 152 receives information on a target person and a period from a user terminal, extracts the total number of cases with which the target person is involved in the period, from an electronic chart DB 141, extracts the total overtime work hours of the target person in the period, from attendance information on a result DB 142, and displays the total number of cases and the total hours together.SELECTED DRAWING: Figure 9

To enable smooth job recruitment.SOLUTION: A job offer management system includes: a determination unit configured to determine, after a work schedule of a staff member has been fixed in a work time slot assigned on the basis of desired work slots submitted by the staff member, whether there is any rejected desired work slot; and a proposal unit configured to propose short-term part-time work to the staff member whose desired work slot has been rejected when there is a rejected desired work slot.SELECTED DRAWING: Figure 1

To enable both employers and job seekers to appropriately determine the work schedules.SOLUTION: A job seeking and recruitment support apparatus includes: a first attribute information acquisition unit for acquiring first attribute information regarding attributes of job information; a second attribute information acquisition unit for acquiring second attribute information regarding attributes of a job seeker; a compatibility determination unit for determining compatibility between the job seeker and a job indicated in the job information according to the acquired first attribute information and the second attribute information; and a job information presentation unit for presenting the compatibility determined by the compatibility determination unit together with the job information.SELECTED DRAWING: Figure 6

This invention provides a method, system, electronic device, and medium for performance management of research project personnel. The method includes: acquiring all project work hour data of the unit; fitting the completion cycle of various work hour tasks of the unit based on the all project work hour data to obtain a real-time mapping relationship between work hour task cycles and work hour task types; determining a planned time schedule for project work hour tasks based on the real-time mapping relationship; revising the planned time schedule based on project work hour quotas, the time schedule of similar projects being executed, and the comparable time schedule of similar projects that have been completed, to obtain a revised time schedule; and responding to the input of the project development cycle ratio and the stage target value of the project work hour task completion progress in the revised time schedule to obtain the stage target value of each work hour task of the project. This accurately predicts the work hour patterns of research project personnel, allows for timely formulation of phased personnel performance goals for research projects, and improves the efficiency of research project management.

A method, apparatus, and non-transitory, computer readable medium for scheduling a plurality of procedures in a hospital. The method interfaces with a network of the hospital to acquire resource information by monitoring a plurality of hospital resources, obtain procedure information, and access personnel information. The plurality of hospital resources includes a plurality of rooms and medical devices and the personnel information includes qualifications and working hours. The method further includes processing the resource information, procedure information, and personnel information to generate one or more hospital schedules using a model based on a predetermined parameter hierarchy and modified based on a hardness quotient. The hospital schedule assigns an at least one room, medical device, and personnel for each procedure. The method then ranks the hospital schedules and interfacing with the network of the hospital to electronically reserve the rooms and electronically prepare the medical devices based on a ranked hospital schedule.

The invention provides a ship pipe fitting manufacturing code generation method, a medium and electronic equipment, and can obtain pipe fitting manufacturing material list information in a ship design model, determine a manufacturing code corresponding to a pipe section according to production and manufacturing information of at least one pipe section in the pipe fitting manufacturing material list information, and generate a manufacturing code corresponding to the pipe section according to the manufacturing code. The method comprises the following steps: firstly, according to manufacturing codes corresponding to pipe sections, determining man-hour data corresponding to the pipe sections, and finally, adding the manufacturing codes and the man-hour data corresponding to the pipe sections into pipe fitting manufacturing material list information, so that working procedures such as materials, specifications, manufacturing procedures, pipe types, quality inspection and the like of each pipe section formed by ship pipe fittings can be defined; the working hours of the working procedures through which the pipe sections flow are calculated, digital support is provided for production management services such as planning scheduling and logistics distribution of pipe fitting assembly line manufacturing, and efficient and lean management of pipe fitting manufacturing is achieved.

The application belongs to the technical field of mechanical manufacturing production, and discloses a multi-dimension work hour statistics and analysis method based on working procedures, working types and equipment. The target product is first decomposed according to assembly relations to form a hierarchical product structure tree, and then a process route library of binding working procedures, working types, equipment and standard work hours is established for each component. Through a statistics engine, work hour data is aggregated from bottom to top according to a selected range, and finally a high-dimension analysis report of working type dimension and equipment dimension is generated, so that fine, multi-dimension and strongly associated management of work hour data is realized. The application can accurately calculate the work hour demand of each working type and the equipment load time, effectively locate the production bottleneck, provide data support for personnel allocation, equipment scheduling, cost accounting and production plan optimization, and solve the problems of coarse statistics granularity, single dimension, weak data association and insufficient decision support in traditional work hour statistics.

The application discloses a workshop human resource allocation optimization method based on personnel dynamic assembly work hour estimation, solves the problem of inaccurate personnel allocation based on experience in the existing production scene, and the problem of inflexible personnel allocation based on fixed standard assembly work hour in the existing research. Based on learning and fatigue-recovery effect theory, the application estimates dynamic work hours in the assembly process of average technical level workers, and obtains relative work efficiency of multi-level technicians. Then, a mathematical model with the target of minimizing assembly workshop human resource cost is constructed. Finally, the particle swarm algorithm is improved from the aspects of coding mode and dynamic adjustment mode of inertia factor, and the model is solved.

To reduce work hours for removing an exterior cover, compared to a case in which all of a transport roll and a detection unit are attached to the exterior cover.SOLUTION: A document transport device includes: a guide member which is disposed at one side of a transport path in which a document placed on a tray is transported, formed with a guide part for guiding the document along the transport path, and attached with at least one of a transport roll which transports the document along the transport path and a detection unit which detects a position of the tray; and an exterior cover which is attached so as to cover the guide member and formed with an exterior surface exposed to the outside.SELECTED DRAWING: Figure 6

The invention relates to the technical field of industrial Internet of Things, and discloses a user emergency insurance supply'finger singing confirmation 'digital platform system based on a component visual angle, which comprises an information acquisition module; a real-time monitoring module; a visual display module; an early warning module; the man-hour management module is used for storing and dynamically correcting the standard work man-hour of each part, and the correction is based on the deviation between the historical actual man-hour and the standard man-hour of big data mining analysis; and the collaborative confirmation module is in communication connection with the visual display module and the early warning module, and is used for distributing responsibility departments and persons in charge based on the RACI matrix for each finger singing confirmation element. According to the system, a set of efficient monitoring and early warning mechanism is established, and lean production is driven through digitization. The digital finger singing confirmation mode based on the user parts can be quickly copied and expanded to other machining centers, and has the potential of copying and popularizing user insurance supply services of other enterprises in the iron and steel manufacturing industry.

The invention discloses a construction scheme design human resource allocation method and system based on low codes, and relates to the technical field of construction project management. The method is executed by a low-code platform which is constructed based on a low-code development tool and is used for human resource allocation of building scheme design, and comprises the following steps of: firstly, decomposing a building scheme design project into a plurality of design subtasks according to a building project decomposition algorithm and a building professional rule; determining professional skill requirements, personnel quantity and working time arrangement of each task and an initial personnel list obtained by performing real-time data comparison and screening with a personnel skill library, and then running a human resource allocation model to optimize the initial personnel list of each task; and finally, a task allocation table is generated according to the recommended personnel list and the working time arrangement of each task, so that reasonable, dynamic and accurate allocation can be carried out, the project is ensured to be smoothly completed in a set time according to a high-quality standard, and meanwhile, the labor cost and the management difficulty are effectively reduced.

The application discloses a supervision system for effectively controlling project labor cost, and the innovation point is that the project labor cost accounting constitution granularity is scientific and reasonable, in order to realize project cost efficiency optimization, the project events generating labor cost are split into basic task event work hour units which can be marked as completed plans, the project manager designs the basic task event units matched with the project according to the characteristics of the cost events, generates work orders with unique dispatching numbers through a dispatching module, associates the project (project name, work site), task (task number, task name, planned work hour) and personnel (required professional title, required major) and publishes the associated work order in a task pool. The system automatically dispatches matched personnel to form a task work order from the associated work order in the task pool, and the personnel need to complete the task and report work hours within the planned time after confirmation, or the project manager can close the task work order at the planned work hour deadline, so that the completion work hours of each basic task event unit are controlled, and the total project work hours are further controlled.

The embodiment of the invention provides a man-hour estimation method and device for a system development life cycle, electronic equipment and a storage medium. The method comprises the steps that a code warehouse and a supply chain risk assessment data source are acquired; determining a plurality of man-hour pre-estimation factors based on the code warehouse and the supply chain risk assessment data source; determining a factor weight corresponding to each man-hour pre-estimation factor according to development characteristics of a to-be-developed system product; and performing man-hour pre-estimation on the to-be-developed system product based on each man-hour pre-estimation factor and the factor weight corresponding to each man-hour pre-estimation factor. According to the technical scheme, the subjective limitation of artificial experience is effectively overcome based on the objective data analysis method, the working hours of the system development life cycle can be accurately estimated, personnel resources are reasonably mobilized according to the estimated working hours, and therefore it is guaranteed that system products can be delivered on time.

The application discloses a kind of based on deep learning's sewing equipment work hour intelligent detection method and system, through real-time acquisition sewing equipment motor start-stop signal and cloth tension change data by sensor, and synchronous acquisition job image sequence, after pre-processing, fusion construction multimodal dataset;The multimodal dataset is input into target detection model, accurately identifies equipment operating state and operator on-site key state, forms continuous state sequence label;Further, extract the feature vector related to cutting line action from the state sequence, use deep learning algorithm to deeply mine its time series correlation law, to intelligently judge and divide effective sewing interval and invalid time interval, realize the accurate segmentation of real production time;On this basis, the duration of each effective sewing interval is accumulated to form a single-process work hour value;The application greatly improves the work hour accounting precision and management refinement level of garment manufacturing enterprises.

The invention provides a man-hour abnormal data identification method and device, equipment, a medium and a program product. The working hour abnormal data identification method comprises the steps of performing statistical characteristic analysis of data distribution on a working hour sample of a worker, and determining skewness statistics of a long tail deviation side represented by the data distribution; according to the skewness statistics, respectively adjusting a lower limit threshold and an upper limit threshold of a normal fluctuation range of the man-hour data to obtain an adjusted range; the adjusting directions of the lower limit threshold value and the upper limit threshold value are consistent with the deviation side of the long tail; and removing abnormal man-hour data exceeding the lower limit threshold and the upper limit threshold of the adjusted range in the man-hour sample, and retaining normal man-hour data in the adjusted range to obtain effective man-hour data of the worker. Therefore, more accurate effective man-hour data of workers can be obtained, and abnormal value identification is more accurate.

Appropriately evaluate the work capabilities of workers. [Solution] As an evaluation method, a work time prediction model that has learned the work times for multiple tasks performed by multiple workers during a first period is used to estimate the work time for standard tasks performed by each worker, and a first proficiency level of a specific worker during the first period is estimated based on the ranking of the work time for standard tasks performed by a specific worker in the distribution of work times for standard tasks performed by multiple workers.

The application discloses a crew shift dynamic allocation method and system based on multi-constraint optimization, relates to the technical field of crew shift allocation, and comprises the following steps: acquiring a first work hour load, a first task efficiency index, a second work hour load and a second task efficiency index in a current stable allocation stage, calculating a difference value between the second work hour load and the first work hour load to obtain a work hour difference, calculating a difference value between the second task efficiency index and the first task efficiency index to obtain an efficiency difference, calculating a ratio of the work hour difference to the efficiency difference to obtain a dynamic allocation correction coefficient; and correcting a shift allocation result of a next stable allocation stage by the dynamic allocation correction coefficient to obtain a corrected shift allocation. The application introduces the concept of the stable allocation stage, calculates the dynamic allocation correction coefficient based on the work hour load and the task efficiency index in the continuous stable stage, and realizes adaptive optimization of the allocation strategy.

This invention provides a human-efficiency integrated work hour closed-loop accounting management method and system based on artificial intelligence, belonging to the field of data processing technology. The method includes: assigning tasks based on employee attribute data and project task attribute data; associating and binding employee clock-in time data with employee-matched project task sets; generating a human-efficiency integrated work hour accounting model based on historical project task efficiency datasets; and using the human-efficiency integrated work hour accounting model to perform closed-loop work hour accounting on employee work hours, bound project task sets, employee salary data, and employee actual output data, obtaining the human-efficiency integrated work hour accounting results for work hour optimization management. This solves the technical problem of existing technologies where employee contribution and output efficiency cannot be accurately quantified. It achieves the technical effect of accurately assessing employee efficiency, optimizing work hour allocation, and improving overall enterprise human efficiency by constructing a unified four-dimensional accurate accounting mechanism encompassing work hours, tasks, salaries, and efficiency.

The invention discloses a man-hour evaluation method and device, a storage medium and electronic equipment, and relates to the technical field of education, and the method comprises the steps: obtaining the function demand information of target software; identifying semantic information corresponding to the function demand information, and performing function demand splitting on the function demand information according to the semantic information to obtain a plurality of function demand points corresponding to the target software; performing function information matching on the plurality of function demand points in a target function information base, and determining a plurality of target functions and function configuration information of the plurality of target functions; and evaluating a plurality of configuration working hours corresponding to the plurality of target functions according to the configuration working hours and the configuration complexity, and determining software construction working hours corresponding to the target software according to the plurality of configuration working hours. According to the method, the function demand information is divided into a plurality of function demand points, so that the deviation of man-hour evaluation is reduced; the man-hour evaluation accuracy is improved by configuring the man-hour and configuring the complexity to evaluate the man-hour.

The invention provides a cost distribution method and device and a storage medium, and the method comprises the steps: obtaining to-be-distributed cost data, the to-be-distributed cost data comprises a plurality of projects, the project type of each project, the cost amount, and the subject type to which the cost amount belongs; obtaining man-hour data of each project; based on the project type of each project, determining a distribution path of each project and a target distribution project; determining a distribution mode of each item based on the subject type to which the expense amount of each item belongs; and based on the man-hour data or the cost amount of the target allocation item of each item, according to the allocation path and the allocation mode corresponding to each item, allocating the cost amount of each item to the target allocation item to obtain an allocation result. According to the invention, automatic distribution is realized, and the problems of low manual operation efficiency and poor accuracy are solved.