8 results about "Cost component" patented technology

The present application relates to the technical field of engineering cost information processing, and discloses a cost index library construction and updating method and system based on version mapping. The method comprises: obtaining to-be-stored engineering data; identifying the pricing specification version, cost caliber version and list coding version corresponding to the engineering data to generate a version identification set; converting the list item, cost component item and measurement caliber based on a preset version mapping rule to obtain standardized engineering data; extracting engineering feature data and performing comparability verification with historical index samples in the target index library; and performing direct storage updating, corrected storage updating or restricted storage updating on the standardized engineering data according to the verification result. The present application can realize the unified conversion and controllable updating of different version engineering cost data, reduce the risk of index distortion and index pollution, and improve the consistency, accuracy and reliability of the updating result of the cost index library.

The invention relates to the technical field of data processing, in particular to a cost management system for multi-project engineering, which comprises an acquisition module, a judgment module, a determination module, a sorting module, an adjustment module and an output module. According to the method, various key data in the project implementation process are collected in real time, and the temporary project is judged through the total cost deviation; calculating a sub-item deviation formed by two key costs of consumables and manpower, and analyzing the fluctuation of the sub-item deviation in a time sequence to determine a target item; finally, a project list is obtained by combining deviation dominant type judgment and multi-dimensional comprehensive sorting, and meanwhile, a threshold value is dynamically adjusted according to historical data, so that the system can adapt to various actual conditions; the problems of low recognition accuracy and recognition lagging of projects with abnormal cost caused by excessive dependence on static data and incapability of adapting to variable actual projects are effectively solved.

The present application relates to the technical field of data processing, and more particularly to a cost management system for multi-project engineering, which comprises an acquisition module, a determination module, a determination module, a sorting module, an adjustment module and an output module. The present application determines temporary projects by real-time acquisition of various key data in the project implementation process and overall cost deviation; further calculates the sub-item deviation of the two key cost components of consumables and manpower and analyzes the volatility of the target project in the time sequence; finally, the project list is obtained by combining the deviation dominant type determination and multi-dimensional comprehensive sorting, and the threshold is dynamically adjusted according to the historical data, so that the system can adapt to various actual situations, effectively solving the problems of low recognition accuracy and recognition lag of cost abnormal projects caused by excessive dependence on static data and inability to adapt to changing actual projects.

The present invention relates to a quotation method for maximizing the benefit of a coal-fired unit on an electricity spot market. The technical solution is as follows: obtaining, by means of calculation, a fuel cost C1 of a unit, a start cost (comprising a fuel consumption fee C2 for starting and a maintenance fee C3 related to the starting of the unit), an opportunity cost C4 caused by an increase in an equivalent forced outage rate, and a fixed cost C5; and on the basis of the cost components of the unit, using a cost-plus pricing method to perform on-grid quotation. A variable cost and the fixed cost of the unit are comprehensively taken into consideration, such that the cost analysis is more comprehensive; and in view of routine thermal performance test results of the unit, by taking factors such as normal aging of the unit, a thermodynamic device defect and an operation parameter deviation into consideration, and on the basis of D+1 load scheduling, fuel costs of the unit under different loads can be known in advance.

The invention relates to the technical field of cost accounting management, in particular to a cost accounting management system based on big data application, and the system comprises the following modules: a data input module which is used for inputting cost data, including direct cost, indirect cost, fixed cost and variable cost; the cost accounting module is used for realizing accurate accounting of the product cost and the project cost according to the cost composition and accounting method of the enterprise, and the cost accounting module supports the cost accounting method including but not limited to a standard cost method and an activity basic cost method; and the cost analysis module is used for providing multi-dimensional cost analysis functions including product cost analysis, department cost analysis and cost difference analysis. According to the method, the requirements of enterprises on cost management and control are better met, the accuracy, efficiency and practicability of cost accounting are improved, the cost management level of the enterprises can be improved, and the enterprises are helped to better control the cost, improve the efficiency and make a more intelligent decision.

The invention discloses an intelligent purchase decision optimization method for alloy raw materials in the iron and steel industry based on multi-objective optimization, and relates to the technical field of purchase decision, and the method comprises the steps: determining a target cost component, employing multi-objective weighted summation, and constructing a mixed integer linear programming model with the total cost minimization as a target; setting constraint conditions of the mixed integer linear programming model; and obtaining input data of the mixed integer linear programming model, inputting the input data into the mixed integer linear programming model, solving the mixed integer linear programming model based on a mixed integer linear programming solver, and obtaining an optimal purchasing scheme. According to the method, the mixed integer linear programming model capable of simultaneously processing the continuous decision and the discrete decision is constructed, realistic constraints such as finished automobile transportation, minimum batch and material replacement are accurately reflected, and the fundamental problem that a traditional linear model cannot process discrete constraints is solved.

The invention provides a cost reduction method based on real-time construction of a product consumption relationship, and belongs to the technical field of cost accounting. Comprising the following steps: constructing a product actual consumption relation table in real time based on actual production data in an input-output table, a cost settlement result table and a cost material calculation result table; calculating the cost reduction unit price of each material based on the product actual consumption relation table, and generating a cost reduction unit price table; and based on the cost reduction unit price table, decomposing the cost of the finished warehousing product in the current period, and generating a cost reduction result table reflected according to an original cost project. According to the cost reduction method based on real-time construction of the product consumption relationship provided by the invention, the actual product consumption relationship is constructed in real time, and the cost reduction is carried out according to the actual product consumption relationship, so that accurate and dynamic reduction of the original cost composition of the product is realized, and the accuracy and timeliness of cost accounting are remarkably improved.

The invention relates to the technical field of industrial manufacturing budgeting, and discloses a cost budgeting system based on an industrial manufacturing multi-process group scene. The system comprises a basic monitoring module, a process feature extraction module, a scene adaptation module, a cost threshold configuration module, a dynamic factor prediction module and a budget feedback regulation module. The basic monitoring module collects multi-process group raw material consumption and equipment operation data, and screens and integrates the data to obtain a basic parameter set; the process feature extraction module analyzes cost composition, extracts key feature factors, calculates associated weights and forms a process feature parameter set; the scene adaptation module matches a production scene, identifies variable influence, selects an optimal scheme, and generates an adaptation parameter set; a cost threshold value configuration module calculates a distribution proportion and sets a threshold value in combination with capacity to obtain a threshold value parameter set; the dynamic factor prediction module captures historical fluctuation, analyzes a trend and deduces a future cost interval; and the budget feedback regulation and control module compares differences and adjusts strategies in a grading manner to generate a regulation and control scheme. The system adapts to a multi-process-group complex scene, and the cost budget is optimized.