9 results about "Cost sharing" patented technology

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 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 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.

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.