Distribution network material category classification technology based on Karan model

Abstract

The invention discloses a distribution network material category classification technology based on a Karan model. Distribution network projects are important infrastructures facing terminal users and serving livelihood, most of the distribution network projects belong to short and smooth projects, and distribution network materials often have the advantages of being various in variety, high in supply response speed, high in demand uncertainty, large in demand feature difference and the like. Therefore, electric power distribution network material category management becomes a difficult problem of restricting fine management level improvement of companies. The requirement for efficient management of distribution network materials is difficult to meet only by means of a material supply whole-process data collection and analysis method. According to the method, related influence factors, including project use frequency, receiving quantity, receiving amount and the like, of various distribution network material classifications are comprehensively considered on the basis of a Karan model, a category classification model suitable for the power distribution network materials is constructed, 25 representative material subclasses in a 10KV infrastructure project are further selected for classification analysis, and a classification result is obtained. And the model analysis rationality is verified. According to the technology, reasonable purchase management strategies are matched for different categories at the same time, and related work of power distribution network material purchase management and category management of a company can be effectively optimized.

Description

Technical Field

[0001] The present invention relates to a power grid data processing technology, and in particular to a distribution network material category classification technology based on a Kalajek model. Background Art

[0002] With the continuous improvement of the modern intelligent supply chain system, the management requirements for the intensive level of power materials are getting higher and higher. Strengthening the comprehensive material planning management of "centralization, unification, leanness and efficiency" has become the core content of the supply chain management of power material companies. Compared with the main grid project, the distribution network, as an important infrastructure facing end users and serving the people's livelihood, is mostly a short-term and fast-paced project. Usually, the construction and renovation period is short, and the supply of equipment and materials is scattered, fragmented, low in certainty and high in timeliness. As a result, the related materials often have a wide variety, high supply response speed, high demand uncertainty, and large differences in demand characteristics. Therefore, how to select a reasonable category management model, combined with the characteristics of distribution network project construction, to carry out reasonable distribution network material category management and procurement strategy optimization has become the key research direction of power material companies.

[0003] In the existing technology, traditional material management mainly carries out material procurement business based on infrastructure, technological transformation, business expansion and other projects. This model has achieved good results for the main network material supply. However, due to the characteristics of distribution network materials such as numerous categories, small value and complex specifications, it is difficult to meet the requirements of efficient management of distribution network materials by simply collecting and analyzing data throughout the material supply process. It is urgently needed to use rational category analysis management tools to optimize management and strategy matching.

[0004] The deficiencies of existing technologies in the classification of distribution network materials are mainly reflected in the following aspects: First, there are many categories of materials and complex specifications. There are many types of distribution network materials and their specifications are not uniform. Traditional classification methods are difficult to adapt to such diverse needs, which makes management more difficult. Second, there is a lack of rational classification strategies for different material characteristics. In the classification process, existing technologies fail to fully consider the different functions, usage frequencies, consumption and other characteristics of materials, resulting in a disconnect between the classification results and actual needs. Third, the matching degree between the classification method and the material procurement needs is low. In the process of material procurement, the traditional classification method fails to effectively combine market dynamics, inventory conditions and material demand trends, resulting in unreasonable resource allocation and affecting procurement efficiency and cost control.

[0005] The distribution network material category classification technology based on the Kalajack model provided by the present invention is proposed to address these deficiencies in the prior art. Summary of the invention

[0006] The distribution network material category classification technology based on the Kalajack model provided by the present invention is used to solve the above-mentioned deficiencies in the prior art.

[0007] In order to achieve the above-mentioned purpose, the present invention provides the following technical solutions: Power distribution network material category management technology based on the Karajek model, which manages the distribution network materials by categories through a data import module, a data cleaning module, a material category analysis module, a Karajek model construction module and a procurement strategy analysis module;

[0008] The data import module converts the format of the data extracted from the source end and imports it;

[0009] Data cleaning module, which pre-processes data, including data cleaning, data integration, data transformation, data standardization, and abnormal data deletion;

[0010] The material category analysis module classifies the distribution network project WBS according to the characteristics of different projects, statistically analyzes the major categories, types and subcategories of materials involved in the project, and considers the correlation between different projects and WBS classifications and the required materials;

[0011] Construct the Kalajak model module, sort the collected data according to the frequency of use and average unit price of each material category, select representative materials, and draw the Kalajak model quadrant diagram;

[0012] The procurement strategy analysis module conducts procurement strategy analysis on strategic items, leverage items, bottleneck items and general items respectively.

[0013] In the above technical solution, the power distribution network material category management technology based on the Kalajac model provided by the present invention has the following beneficial effects:

[0014] 1. Realize scientific material classification and demand forecasting: The Kalajac model can scientifically classify materials according to their different characteristics (such as demand fluctuations, consumption patterns, etc.), effectively help predict the demand trend of distribution network materials, and improve the accuracy of demand forecasting.

[0015] 2. Optimize inventory management: Through the refined classification of material categories, the Karajek model can accurately predict the inventory demand of different materials, avoid over-inventory or out-of-stock, optimize inventory turnover efficiency, and reduce inventory costs.

[0016] 3. Improve procurement decision-making efficiency: Based on the classification management model, the Karajek model can help supply chain managers make procurement decisions more quickly, avoid affecting project progress due to untimely or unreasonable material supply, and improve the response speed of the procurement process.

[0017] 4. Promote refined management of material categories: The Karajek model can not only classify materials, but also prioritize them according to their frequency of use, importance, etc., thereby achieving refined management of material categories and improving the rationality and efficiency of resource allocation.

[0018] 5. Reduce management complexity and costs: Through accurate material classification and data analysis, the Karajek model can simplify the material management process, reduce the need for manual intervention, reduce management complexity, and ultimately help reduce overall operating costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0020] Figure 1 A schematic diagram of the system operation flow provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0021] In order to enable those skilled in the art to better understand the technical solution of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings.

[0022] Embodiment 1

[0023] See also Figure 1 , the embodiment of the present invention provides a distribution network material category classification technology based on the Karajek model: correlation analysis of various influencing factors of distribution network material category classification, and at the same time, category management of distribution network materials is performed through a data import module, a data cleaning module, a material category analysis module, a Karajek model construction module and a procurement strategy analysis module;

[0024] The data import module converts the format of the data extracted from the source end and imports it;

[0025] Data cleaning module, which pre-processes data, including data cleaning, data integration, data transformation, data standardization, and abnormal data deletion;

[0026] The material category analysis module classifies the distribution network project WBS according to the characteristics of different projects, statistically analyzes the major categories, types and subcategories of materials involved in the project, and considers the correlation between different projects and WBS classifications and the required materials;

[0027] Construct the Kalajak model module, sort the collected data according to the frequency of use and average unit price of each material category, select representative materials, and draw the Kalajak model quadrant diagram;

[0028] The procurement strategy analysis module conducts procurement strategy analysis on strategic items, leverage items, bottleneck items and general items respectively.

[0029] In another embodiment provided by the present invention, the material category analysis module includes the following steps:

[0030] S1, classification: select the distribution network 10KV power grid infrastructure project for analysis, select the project data of the past five years as samples, and divide the distribution network project WBS into 7 typical classifications according to the characteristics of different projects;

[0031] S2, statistical analysis: Combined with the classification rules in the actual management of power materials, statistical analysis is conducted on the major categories, types and subcategories of materials involved in the distribution network 10kV infrastructure project according to the major categories, types and subcategories of materials;

[0032] S3, Relationship: Consider the relationship between different projects and WBS categories and the materials they need (considering the collection situation).

[0033] In another embodiment provided by the present invention, the construction of the Kalajac model module comprises the following steps:

[0034] S1, representative categories: Based on the collected data, sort according to the frequency of use and average unit price of each material subcategory to screen out representative materials. Select 25 representative materials, sort the frequency of use and average unit price from high to low, and determine the corresponding ranking numbers;

[0035] S2, Karajek quadrant diagram: Draw the Karajek model quadrant diagram based on the two dimensions of frequency of use and average unit price, and rank the frequency of use and average unit price of different material subcategories, and mark them one by one in the corresponding quadrant.

[0036] In another embodiment provided by the present invention, the procurement strategy analysis module includes the following steps:

[0037] S1, Strategic Item Procurement Strategy: This type of material is crucial to the company's product development and production operations, and is suitable for positioning as "strategic key materials". The focus of procurement management is to reduce supply risks. It is advisable to develop strategic cooperation with suppliers to achieve improvements in product quality, delivery cycle, product development and design, and further reduce costs; maintain necessary and reasonable inventory strategic reserves, conduct risk management and formulate emergency plans;

[0038] S2, leveraged item procurement strategy: This type of material has relatively low supply risk and is suitable for positioning as "tactical profit materials". The focus of procurement management is to reduce procurement costs; expand supply sources and improve bargaining power; achieve optimal inventory and avoid inventory backlogs and capital occupation;

[0039] S3, bottleneck item procurement strategy: This type of material is suitable for positioning as "strategic safety material". The focus of procurement management is to ensure that suppliers will continue to supply the products needed by the company in the long term through higher safety inventory, signing entrusted inventory agreements, and signing long-term contracts with suppliers, while formulating emergency plans to ensure that the company can guarantee supply when risks occur;

[0040] S4, General Item Procurement Strategy: This type of material usually does not occupy much capital, accounting for less than 20% of the purchase amount, and is suitable for positioning as "tactical acquisition of materials". The focus of procurement management is to reduce procurement costs, by gathering a large number of general products together, increasing the company's purchasing power, and forming a certain price control to minimize costs.

[0041] The above description is only by way of illustration of certain exemplary embodiments of the present invention. It is undoubted that those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the above drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

Claims

1. Power distribution network material category management technology based on the Karajek model, which manages the distribution network materials category through data import module, data cleaning module, material category analysis module, Karajek model building module and procurement strategy analysis module; The data import module converts the format of the data extracted from the source end and imports it; Data cleaning module, which pre-processes data, including data cleaning, data integration, data transformation, data standardization, and abnormal data deletion; The material category analysis module classifies the distribution network project WBS according to the characteristics of different projects, statistically analyzes the major categories, types and subcategories of materials involved in the project, and considers the correlation between different projects and WBS classifications and the required materials; Construct the Kalajak model module, sort the collected data according to the frequency of use and average unit price of each material category, select representative materials, and draw the Kalajak model quadrant diagram; The procurement strategy analysis module conducts procurement strategy analysis on strategic items, leverage items, bottleneck items and general items respectively. In the above technical solution, the power distribution network material category management technology based on the Kalajac model provided by the present invention has the following beneficial effects:

1. Realize scientific material classification and demand forecasting: The Kalajac model can scientifically classify materials according to their different characteristics (such as demand fluctuations, consumption patterns, etc.), effectively help predict the demand trend of distribution network materials, and improve the accuracy of demand forecasting.

2. Optimize inventory management: Through the refined classification of material categories, the Karajek model can accurately predict the inventory demand of different materials, avoid over-inventory or out-of-stock, optimize inventory turnover efficiency, and reduce inventory costs.

3. Improve procurement decision-making efficiency: Based on the classification management model, the Karajek model can help supply chain managers make procurement decisions more quickly, avoid affecting project progress due to untimely or unreasonable material supply, and improve the response speed of the procurement process.

4. Promote refined management of material categories: The Karajek model can not only classify materials, but also prioritize them according to their frequency of use, importance, etc., thereby achieving refined management of material categories and improving the rationality and efficiency of resource allocation.

5. Reduce management complexity and costs: Through accurate material classification and data analysis, the Karajek model can simplify the material management process, reduce the need for manual intervention, reduce management complexity, and ultimately help reduce overall operating costs.

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