16 results about "Cost sharing" patented technology

The invention discloses a hospital operation analysis and target management system based on big data, and relates to the technical field of hospital operation management, and the system employs an activity-based cost method ABC, introduces a non-linear sharing function and a multi-dimensional cost sharing model, enables the operation cost to be refined to a specific project of each department, and improves the operation efficiency. Equipment use, medicine consumption and working hours of medical staff are covered, cost allocation and updating are carried out through a dynamic adjustment mechanism and a system according to real-time resource use conditions, hospitals are helped to identify high-cost expenditure points, resource waste is reduced, transparency of operation cost and management efficiency are improved, an automatic feedback mechanism is introduced, and the system is convenient to use. According to the method, the predicted data and the actual data can be compared in real time, the operation abnormity can be identified, the adjustment suggestion is automatically triggered when the abnormity is found, the adjustment suggestion is pushed to the related management personnel for quick response, and compared with a manual examination method, the speed and the accuracy of management response are improved.

The present invention is applicable to the field of work order management, and discloses an intelligent work order management method, system, equipment and medium. The method first classifies work orders according to the differences in work order types to obtain work orders of different categories, and vectorizes the characteristics of each type of work order from two dimensions: work order processing complexity and required resources, to construct a work order feature vector; based on the work order feature vector, a work order processing strategy selection model is established; in the process of work order processing, resource consumption data of each link is collected to construct a feature matrix of work order resource consumption and value contribution; a work order resource allocation recommendation model is established using a collaborative filtering algorithm; after the work order processing is completed, a work order cost accounting model is established based on the actual resource consumption and work order characteristics; in addition, in the entire process of work order processing, data of each link is continuously collected, and each model is updated and optimized in real time to achieve a dynamic balance between processing efficiency and cost sharing.

The present invention discloses a method and system for customizing cost allocation and cost restoration, the method comprising: clarifying the cost benefit principle according to the relationship between responsibility and authority, so as to establish the corresponding relationship between the subjects and build a responsibility accounting management system; customizing the required motivations and configuring the cost allocation factors; capturing the costs and motivations, and forming cost allocation rules according to the business generation logic; establishing business parameter management to configure the attribute parameters; uniformly allocating and batching the rules of the same business plan, and adjusting the proportion of motivations in the allocation rules; recording the costs, and according to the restoration scenario, redistributing them to various departments according to the corresponding proportion of the restoration rules while offsetting the provisions; querying the running results of the allocation rules and the restoration rules, and generating the image data of each motivation. Through the technical solution of the present invention, a flexible combination of allocation factors and allocation models is realized, so that it can help enterprises optimize resource allocation and improve management efficiency.

The present invention consists of an improved System and Method for raising inter-firm invoices, processing transfers and postings. The system and method provides for raising invoices and processing transfers for processing directly between two entities, or through a plurality of entities all in one streamlined system. With this improved system and method, associated businesses or organizations may collect their cost sharing expenses across multiple entities seamlessly. Further, each entity may specify the frequency to receive invoices from other entities. With such an improved System, Inter-firm transfers and postings can be readily accomplished immediately, processing hundreds of thousands of time entries in less than one business day.

The invention discloses a method, a system, equipment and a medium for sharing a user participating in an auxiliary service based on dynamic analysis, and relates to the technical field of electric power auxiliary services, and the method comprises the steps: building a user participating in auxiliary service benefit degree quantification model, and quantifying the benefit degree of each user obtained by participating in the auxiliary service; determining a corresponding cost sharing proportion based on the total benefit degree of the user, and calculating the sharing amount of each user in combination with the supply cost, the operation cost and the risk cost of the auxiliary service; setting a stepped excitation coefficient and an influence factor according to the sharing amount, the participation frequency and the response quality of each user, and calculating the final excitation amount of the user; and establishing a dynamic adjustment and constraint model for mechanism operation, and periodically adjusting each parameter and factor. According to the method, the user benefit degree is taken as the calculation basis of cost sharing, and the participation behavior quality is brought into incentive adjustment, so that the fairness of auxiliary service cost distribution is improved, and the participation enthusiasm of the user and the operation flexibility are enhanced.

A system allows an end-user to locate and gain access to an access-controlled facility or resource, such as a restroom, phone charging station, or Wi-Fi hot spot. Some implementations of the system monitor the formation and concentration of individuals into crowds that may place a higher demand on facilities and resources located near the crowd. The system may distribute mobile facilities to areas that offer convenient access to potential developing crowds, and when the system determines that there is a disparity between available resources and crowd demand reaches a certain level it may deploy one or more mobile facilities to positions proximate to that crowd. A mobile facility may also be requested on demand by a user or organizer, and some implementations provide cost sharing mechanisms and other user benefits related to requesting and accessing the facility.

The invention discloses a fairness index-based peak regulation auxiliary service optimization decision-making method, and aims to solve the problem of unfair cost allocation caused by supply and demand mismatch, insufficient flexibility, carbon emission and other multi-dimensional risks in a new energy power system. A new fairness index is provided and is used for quantifying the deviation between the actual allocation amount and the theoretical allocation amount of the participants, and the difference between the system risk and the individual preference is comprehensively considered. A combined weighting method is introduced, a risk weight is determined through an analytic hierarchy process and an anti-entropy weight method, a risk-weighted Shapley value cost sharing model is constructed, and dynamic adjustment of individual risk responsibility is realized. And further establishing a peak regulation auxiliary service scheduling optimization model, and optimizing a peak regulation scheme by taking minimization of the total cost of the system as a target and comprehensively considering system balance, standby and unit scheduling constraint conditions. According to the method, the fairness and scientificity of cost allocation are effectively improved, and important technical support is provided for efficient operation of a new energy high-proportion access power system.

The invention discloses a cost sharing engine method. The engine method comprises the following steps: acquiring original cost; allocating the original cost to a profit institution; apportioning to account business from the profit institution; and analyzing the cost by adopting an analysis method. And scientific and efficient cost allocation engine calculation logic and an efficient data model in the engine are realized.

The present invention discloses a cloud bill splitting method based on machine learning, and relates to the technical field of splitting accounts. The method comprises obtaining a cloud bill; for a first billing detail in the cloud bill whose granularity corresponding to a resource instance usage object is less than or equal to a billing granularity, determining a first resource instance usage object corresponding thereto and having the same granularity as the billing granularity; for a second billing detail whose granularity corresponding to a resource instance usage object is greater than the billing granularity, analyzing and identifying at least one second resource instance usage object corresponding thereto and having the same granularity as the billing granularity and its cost sharing ratio; performing splitting calculation based on the unit price of each resource instance, the resource instance ID corresponding to each first and second billing detail, the resource instance usage, the first and second resource instance usage objects, and the cost sharing ratio, and obtaining the to-be-paid expenses of multiple target resource instance usage objects. The method disclosed in the present invention can reduce the workload of splitting cloud bills and reduce splitting errors.

The invention relates to the technical field of operating room cost calculation, in particular to an operating room cost apportionment calculation method and device.The operating room cost apportionment calculation method comprises the steps that firstly, operating cost constituent elements are determined, operating cost comprises direct cost and indirect cost, the direct cost comprises operating material cost, medicine cost and medical staff labor cost, and the indirect cost comprises indirect cost; the indirect cost comprises operating room equipment depreciation cost, water and electricity charge and cleaning and disinfection cost; 2, operation cost data are collected, all cost data generated in the operation process are collected through an information management system of a hospital, the cost data comprise the purchasing price of operation materials, the usage amount of medicine and the price, and the operation cost is accurately calculated. The actual cost of the operation can be accurately calculated by determining the operation cost components, collecting the operation cost data and adopting a reasonable calculation method.

The invention belongs to the technical field of project cost, and provides a project cost allocation method, system and device and a storage medium, and the method comprises the steps: obtaining a deviation value between a planned value and an actual value of each project cost in a project construction process; setting different alarm levels according to different deviation values by using a K-means algorithm; and when the deviation value does not exceed the early warning level, calculating the shared cost of the project, and carrying out cost sharing among the departments according to the shared cost of the project. The method solves the problem that there is no early warning when the project cost deviates from the planned value during partnership operation, and the situation that the cost deviates from the planned value cannot be subjected to alarm judgment.

The invention relates to a production and operation cost allocation system based on a large model, and the system comprises a rule algorithm self-maintenance module which is used for monitoring event changes, and carrying out the dynamic maintenance marking rule and dynamic marking of generated production and operation income and expenditure data through employing a decision tree and a first star large model; and the real-time revenue and expenditure collection module is used for acquiring real-time revenue and expenditure data, processing the real-time revenue and expenditure data by adopting a distance calculation method and a text processing large model according to a dynamic marking result and performing mutual verification so as to judge the belonging product type of the real-time revenue and expenditure data and realize cost allocation of the real-time revenue and expenditure data. Compared with the prior art, the system has the advantages of realizing intelligent allocation of production and operation costs and the like.

The invention discloses a method and a device for dynamically identifying a cost sharing party, and electronic equipment, and relates to the field of cost sharing in an ERP (Enterprise Resource Planning) system. The method comprises the steps that cost variable parameters are defined, and variable parameter values are determined; wherein the cost variable parameter is determined according to the dimension of a cost object; according to the type of the variable parameter value, determining external data needing to be associated with the corresponding cost variable parameter; and analyzing the receiver object according to the variable parameter value and the corresponding associated external data, and executing cost allocation calculation based on the analyzed receiver object. The technical problems that in the prior art, manual receiving party designation is low in efficiency and prone to errors, and a fixed rule cannot adapt to a dynamic scene of changes of a receiving party are solved.

The present application relates to a method, system and device for optimizing a claim cost recovery process. The method includes receiving a fault set corresponding to a fault code in a claim form, the fault set including one or more claim items, the one or more claim items including at least a parts claim item, for each parts claim item, classifying the parts claim item into a corresponding basket by matching the parts claim item with the attributes of multiple baskets, determining the final basket to which all the parts claim items in the fault set are finally allocated based on the types of the corresponding baskets of all the parts claim items in the fault set, determining the main cause parts among all the parts involved in the fault set, and determining the claim cost sharing scheme among the suppliers of all the parts involved in the fault set based on the determination of the main cause parts.

A system allows an end-user to locate and gain access to an access-controlled facility or resource, such as a restroom, phone charging station, or Wi-Fi hot spot. Some implementations of the system monitor the formation and concentration of individuals into crowds that may place a higher demand on facilities and resources located near the crowd. The system may distribute mobile facilities to areas that offer convenient access to potential developing crowds, and when the system determines that there is a disparity between available resources and crowd demand reaches a certain level it may deploy one or more mobile facilities to positions proximate to that crowd. A mobile facility may also be requested on demand by a user or organizer, and some implementations provide cost sharing mechanisms and other user benefits related to requesting and accessing the facility.

The invention relates to an information control method for assisting service cost allocation, which aims at a unit average load rate queue of a thermal power station unit, because an extreme unit average load rate is mainly a unit average load rate which does not fluctuate slightly, the unit average load rate queue needs to be analyzed better, and the unit average load rate queue is analyzed more accurately. According to the method, section expansion is performed on the unit average load rate queue, a plurality of expansion spaces and deviation spaces are obtained after section expansion, the unit average load rate in the expansion spaces is more stable and tends to a reasonable unit average load rate, and the unit average load rate in the deviation spaces is more unstable and tends to extreme data. The unit average load rates in all deviation spaces are not the extreme unit average load rate, so that the extreme unit average load rate detected by the deviation spaces on the extreme unit average load rate is reduced, and the deviation spaces and the adjacent expansion spaces are aggregated to obtain a plurality of target unit average load rate spaces; by analyzing the average load rate space of the target unit, the accurate average load rate of the extreme unit is obtained, and a manager can determine whether the operation of the thermal power station unit is in a reasonable state or not.