Enterprise engineering application evaluation system based on aerospace management mode
Through the enterprise engineering application evaluation system based on the aerospace management model, the problem that enterprises cannot effectively combine when introducing the aerospace management model is solved, and accurate evaluation and improvement of enterprise engineering applications are achieved.
Patent Information
- Application Number
- CN202411891760.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-20
- Publication Date
- 2025-04-04
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The advanced aerospace management model in the existing technology cannot be effectively combined with enterprises, resulting in little success in the engineering application of enterprises.
It provides an enterprise engineering application evaluation system based on the aerospace management model, including data acquisition, data processing, storage, analysis and evaluation modules. It conducts comprehensive analysis and rating of enterprises through the aerospace management model and outputs adapted enterprise engineering application solutions.
Through accurate data collection and processing, combined with the analysis of aerospace management model, the system can accurately evaluate the comprehensive status of the enterprise, output highly targeted enterprise engineering application solutions, and improve the enterprise's management level and engineering application effect.
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Figure CN119761908A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of engineering application evaluation, and in particular to an enterprise engineering application evaluation system based on aerospace management mode. Background Art
[0002] With the acceleration of global economic integration and increasingly fierce market competition, enterprises are facing unprecedented challenges and opportunities in the process of operation and management. In order to gain a foothold and achieve long-term development in a complex and changing business environment, enterprises are seeking efficient and scientific management models, striving to improve their competitiveness in all aspects, covering many key dimensions such as project execution efficiency, resource optimization, quality control and innovation capabilities.
[0003] Traditional corporate management models often focus on financial indicators, marketing, and daily administrative process control. Although they have promoted corporate development to a certain extent, they have significant limitations. When faced with large and complex engineering projects, this model is prone to drawbacks such as disordered resource allocation, delayed project progress, and lax quality control. For example, some manufacturing companies undertake large-scale production line upgrade projects. Due to the lack of systematic planning and precise coordination mechanisms, the supply of raw materials is frequently interrupted and the connection between construction links is not smooth. In the end, not only is the project delivery overdue, but also a large amount of cost overruns due to rework, and product quality is also uneven, which seriously affects the company's market reputation and economic benefits.
[0004] In sharp contrast is the aerospace management model that has been formed through long-term accumulation in the aerospace field. As a systematic project that integrates high complexity, high precision, and high risk, aerospace engineering covers many interdisciplinary intersections, massive component integration, and strict reliability requirements. After years of practice and polishing, the aerospace management model has forged a complete and efficient management system, from the top-level design and precise task decomposition in the early stage of the project, to real-time monitoring and dynamic adjustment during execution, to strict acceptance of results in the later stage, and in-depth review of experience. The whole process is guaranteed by rigorous processes and scientific methods.
[0005] In recent years, many forward-looking enterprises have keenly captured the huge application potential of the aerospace management model and tried to introduce its core concepts and key technologies into enterprise engineering practice. However, enterprises currently encounter many difficulties when introducing the aerospace management model. On the one hand, the aerospace management model is highly professional and has high knowledge barriers. Ordinary enterprises lack professional interpretation and adaptation and transformation capabilities, making it difficult to accurately grasp the essence; on the other hand, the market lacks a set of standardized and professional evaluation tools, which makes it impossible for enterprises to accurately measure their own degree of fit, and have no way of knowing the expected benefits after introducing the aerospace management model, making it difficult to formulate targeted engineering application plans that fit the actual situation of the enterprise. This not only hinders the promotion of the aerospace management model in the corporate community, but also causes many enterprises to blindly copy it, causing "incompatibility", investing a lot of resources but achieving little results.
[0006] In view of this, the art needs an enterprise engineering application evaluation system based on aerospace management model to solve the above problems. Summary of the invention
[0007] In order to solve the above technical problems, that is, to solve the problem that the advanced aerospace management model in the existing technology cannot be effectively combined with the enterprise, resulting in little effect on the enterprise's engineering application.
[0008] The present invention provides an enterprise engineering application evaluation system based on aerospace management mode, the system comprising: A data collection module, which is used to collect enterprise data of target enterprises; A data processing module, which is used to process the enterprise data of the target enterprise; A storage module, which is used to store the aerospace management mode model; An analysis module, which is used to analyze the target enterprise based on the aerospace management mode model; The evaluation module is used to rate the target enterprise according to the analysis results of the target enterprise and output an adaptive enterprise engineering application solution.
[0009] In certain preferred embodiments, the enterprise data includes engineering goal and task data, technical data, resource data, organizational structure data, business model data, safety data, quality data, and policy data.
[0010] In certain preferred embodiments, the engineering goal and task data include one or more of task type data, task complexity data, task goal and requirement data, and task time node and progress data; the technical data include one or more of technology maturity data, technology risk data, technology compatibility data, system integration data, and technology iteration data; the resource data include one or more of human data, material data, and financial data.
[0011] In some preferred embodiments, the aerospace management model is: Among them, CI is a comprehensive index, n is the number of basic factors, and w is i is the weight of the i-th basic factor, f(x i ) is the score function of the ith basic factor, g(x i ) is the correlation correction function of the ith basic factor, k and b are adjustment coefficients, m is the number of additional factors, h(x j ) is the score function of the jth additional factor, ω and are the trigonometric function parameters respectively.
[0012] In certain preferred embodiments, n is equal to 3, and the basic factors include engineering goal and task data, technical data, and resource data; m is equal to 5, and the additional factors include organizational structure data, business model data, safety data, quality data, and policy data.
[0013] In some preferred embodiments, the score function of the i-th basic factor is: Among them, l is the number of sub-indicators of the i-th basic factor, α ik is the weight of the kth sub-indicator of the ith basic factor, y ik is the standardized original score of the kth sub-indicator of the ith basic factor, q is the number of positive dynamic adjustment factors in the ith basic factor, d it is the weight of the tth positive adjustment factor in the ith basic factor, z ir is the actual value of the tth positive adjustment factor in the ith basic factor, r is the number of negative dynamic adjustment factors in the ith basic factor, e im is the weight of the mth negative adjustment factor in the ith basic factor, w im is the actual value of the mth negative adjustment factor in the ith basic factor.
[0014] In some preferred embodiments, the correlation correction function of the i-th basic factor is: Among them, p is the number of other factors closely related to the i-th basic factor, c is is the correlation coefficient of the sth correlation factor of the ith basic factor, b is is the adjustment parameter of the sth associated factor of the ith basic factor, x is It is the standardized comprehensive index value of the sth associated factor of the ith basic factor.
[0015] In some preferred embodiments, the score function of the j-th additional factor is: Among them, u is the number of key qualitative evaluation dimensions of the jth additional factor, f jn is the score weight of the nth qualitative dimension of the jth additional factor, v jn is the actual score of the nth qualitative dimension of the jth additional factor, v is the number of positive environmental adaptation factors in the jth additional factor, g jo is the weight of the oth positive factor in the jth additional factor, u jo is the actual value of the oth positive factor in the jth additional factor, w is the number of negative environmental adaptation factors in the jth additional factor, hjp is the weight of the pth negative factor in the jth additional factor, S jp is the actual value of the pth negative factor in the jth additional factor, λ is the environmental sensitivity coefficient, T is the current time, τ j is the key time node of the jth additional factor.
[0016] In certain preferred embodiments, rating the target enterprise according to the analysis results of the target enterprise specifically includes: If CI ≥ the first preset value, the target enterprise is an excellent enterprise; If the second preset value ≤ CI < the first preset value, the target enterprise is a potential enterprise; If the third preset value ≤ CI < the second preset value, the target enterprise is a stable enterprise; If CI is less than the third preset value, the target enterprise is a basic enterprise; Among them, the third preset value<the second preset value<the first preset value.
[0017] In certain preferred implementations, the enterprise engineering application solution for output adaptation specifically includes: Based on the comprehensive index CI, various basic factor indicators and various additional factor indicators, an enterprise engineering application plan is output.
[0018] It can be seen from the above that the enterprise engineering application evaluation system based on the aerospace management model provided by the present invention has the following beneficial technical effects: With the help of precise data collection and processing modules, the present invention comprehensively collects and efficiently processes enterprise data covering multiple dimensions such as engineering goals and tasks, technologies, and resources, thereby laying a solid foundation for subsequent evaluation and accurately presenting a panoramic view of enterprise operations; the storage module has a built-in unique aerospace management model, which comprehensively considers the basic and additional factors, quantifies the enterprise situation through precise scoring and correlation correction functions, conforms to the essence of aerospace management, and helps enterprises meet high standards; the analysis module accurately analyzes based on the model, and scientifically divides enterprise types according to comprehensive indicators, covering excellent, potential, stable, and basic types, so that enterprises can recognize their own positioning; the evaluation module can output engineering application solutions that are adapted to the personality of the enterprise, closely follow the comprehensive and subdivided indicators, and customize exclusive strategies for the weak links and development needs of engineering practices of different types of enterprises, so as to help the development of enterprises and improve their management level and engineering application effects. BRIEF DESCRIPTION OF THE DRAWINGS
[0019] The features and advantages of the present invention will be more clearly understood by referring to the accompanying drawings, which are schematic and should not be construed as limiting the present invention in any way. In the accompanying drawings: Figure 1 It is a structural schematic diagram of the enterprise engineering application evaluation system based on the aerospace management model of the present invention. DETAILED DESCRIPTION
[0020] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.
[0021] Based on the problem that the advanced aerospace management model in the prior art cannot be effectively combined with enterprises as pointed out in the background technology, resulting in little effect on the engineering application of enterprises. The present invention provides an enterprise engineering application evaluation system based on the aerospace management model, which can analyze the level of the enterprise and propose targeted enterprise engineering application solutions by inputting the enterprise data into the aerospace management model, thereby improving the management level of the enterprise and the engineering application effect.
[0022] like Figure 1 As shown, the enterprise engineering application evaluation system based on the aerospace management mode of the present invention includes: a data acquisition module 100, a data processing module 200, a storage module 300, an analysis module 400 and an evaluation module 500. The function of each module is described below: The data collection module 100 is used to collect enterprise data of the target enterprise.
[0023] In some preferred embodiments, enterprise data includes engineering goal and task data (such as task type data, task complexity data, task goal and requirement data, and task time node and progress data), technical data (such as technology maturity data, technology risk data, technology compatibility data, system integration data, and technology iteration data), resource data (such as human data, material data, and financial data), organizational structure data, business model data, safety data, quality data, and policy data.
[0024] The data processing module 200 is used to process the enterprise data of the target enterprise.
[0025] Preferably, for each enterprise data, outlier identification and correction, missing value processing, dimensionless processing and normalization processing are performed in sequence, and each enterprise data after the standardization processing can be convenient for calculating the comprehensive index CI.
[0026] For example, extracting project progress information from the enterprise project management system, the record shows that the total planned duration of the project is 180 days. As of the current assessment node, 120 days have been consumed. The task time nodes and progress are standardized: According to the formula "Standardized progress = (total planned days - current used days) / total planned days", the standardized progress = (180-120) / 180≈0.33; For another example, the product planning document clearly sets the sales target of the new product at 5,000 units in the first month of its launch, and the yield rate must reach more than 95%. The current market research estimates that the sales volume in the first month can reach 3,500 units, and the production The actual yield rate measured online is 90%, and the task objectives and requirements are standardized: the first month sales target achievement rate = current estimated sales / target sales = 3500 / 5000 = 0.7; the yield rate itself is in the range of 0-1, and after standardization it is still 0.9 (actual yield rate 90%). The deviation value compared with the target requirement is taken into consideration, and the deviation value standardization = (actual yield rate - target yield rate) / (1-target yield rate) = (0.9-0.95) / (1-0.95) = -1. The negative sign indicates that the target has not been reached, and the absolute value of the number reflects the degree of deviation, which is convenient for the comprehensive weighing of the model.
[0027] The storage module 300 is used to store the aerospace management mode model.
[0028] Preferably, the above-mentioned aerospace management mode model is: Among them, CI is a comprehensive index, n is the number of basic factors, and w is i is the weight of the i-th basic factor, f(x i ) is the score function of the ith basic factor, g(x i ) is the correlation correction function of the ith basic factor, k and b are adjustment coefficients, m is the number of additional factors, h(x j ) is the score function of the jth additional factor, ω and are the trigonometric function parameters, where k, b, ω and It can be obtained through experimental fitting, and can be iteratively optimized and adjusted according to actual usage. Further preferably, n is equal to 3, the above basic factors include engineering goal and task data, technical data and resource data, m is equal to 5, and the above additional factors include organizational structure data, business model data, safety data, quality data and policy data.
[0029] In the above, the score function of the i-th basic factor is: Among them, l is the number of sub-indicators of the i-th basic factor, α ik is the weight of the kth sub-indicator of the ith basic factor, y ikis the standardized original score of the kth sub-indicator of the ith basic factor, q is the number of positive dynamic adjustment factors in the ith basic factor, d it is the weight of the tth positive adjustment factor in the ith basic factor, z it is the actual value of the tth positive adjustment factor in the ith basic factor, r is the number of negative dynamic adjustment factors in the ith basic factor, e im is the weight of the mth negative adjustment factor in the ith basic factor, w im is the actual value of the mth negative adjustment factor in the ith basic factor. In the above, the positive dynamic adjustment factor is used to reward the company's excellent practices in certain aspects. For example, in the technology factor, the growth rate of technology R&D investment can be a positive factor. If the company's technology R&D investment increased by 20% in the past year, then this 20% is z it An example value of w; negative dynamic adjustment factors are used to warn companies of shortcomings in certain aspects. For example, in the engineering goals and tasks data, the amount of overdue fines for projects can be a negative factor. If the company incurs a high fine due to overdue, the amount of the fine is w im An example value of .
[0030] In the above, the correlation correction function of the i-th basic factor is: Among them, p is the number of other factors closely related to the i-th basic factor, c is is the correlation coefficient of the sth correlation factor of the ith basic factor, b is is the adjustment parameter of the sth associated factor of the ith basic factor, x is is the standardized comprehensive index value of the sth related factor of the ith basic factor. It should be noted that the formula g(x i ) is a correlation correction function used to capture the complex correlation effects between different factors. In the enterprise engineering application evaluation system based on the aerospace management model, there are interrelated and interactive relationships between various factors of the enterprise (such as engineering goals, technology, resources, etc.). This function accurately quantifies these synergies and constraints through nonlinear algorithms, highlights the amplification of shortcomings or the superposition of advantages, and thus more comprehensively and accurately evaluates the overall situation of the enterprise. The above ln(1+b is × is ) The characteristic of the logarithmic part is that the growth rate gradually slows down, which means that when the index value of the correlation factor is low, its influence on the overall correlation effect grows relatively fast; when the index value is high, the influence growth gradually tends to be flat. This characteristic helps to more carefully describe the influence of the correlation factor on the i-th type of basic factors under different value ranges. The trigonometric function part Mainly used to introduce cyclical or volatile adjustments.
[0031] In the above, the score function of the jth additional factor is: Among them, u is the number of key qualitative evaluation dimensions of the jth additional factor, f jn is the score weight of the nth qualitative dimension of the jth additional factor, v jn is the actual score of the nth qualitative dimension of the jth additional factor, v is the number of positive environmental adaptation factors in the jth additional factor, g jo is the weight of the oth positive factor in the jth additional factor, u jo is the actual value of the oth positive factor in the jth additional factor, w is the number of negative environmental adaptation factors in the jth additional factor, h jp is the weight of the pth negative factor in the jth additional factor, S jp is the actual value of the oth negative factor in the jth additional factor, λ is the environmental sensitivity coefficient, T is the current time, τ j is the key time node of the jth additional factor. Formula h(x j ) is used to calculate the score of another type of factor, mainly for relatively qualitative and multi-factor influencing factors such as organizational structure, safety, and policy. By taking into account multiple considerations such as qualitative evaluation quantitative conversion and dynamic situational adaptation, a score that can comprehensively reflect the overall impact of such factors on the enterprise is obtained, providing more comprehensive and accurate data support for the enterprise engineering application evaluation based on the aerospace management model. The positive environmental adaptation factor is used to measure environmental-related factors that have a positive impact on the jth additional factor. For example, among policy factors, the degree of fit of the newly issued local industrial support policy is a positive factor. A high degree of fit will add points to the evaluation of the enterprise in terms of policy factors; the negative environmental adaptation factor is to measure environmental-related factors that have a negative impact on the jth additional factor. For example, among safety factors, the frequent occurrence of illegal operation accidents is a negative factor, which will lower the overall score.
[0032] The analysis module 400 is used to analyze the target enterprise based on the aerospace management mode model.
[0033] Preferably, the interval of the comprehensive index CI is determined, and the score f(x i ) and the score of the additional factor h(x j ) is in the interval.
[0034] The evaluation module 500 is used to rate the target enterprise according to the analysis result of the target enterprise and output an adapted enterprise engineering application solution.
[0035] Preferably, rating the target enterprise according to the analysis results of the target enterprise specifically includes: If CI ≥ the first preset value, the target enterprise is an excellent enterprise; If the second preset value ≤ CI < the first preset value, the target enterprise is a potential enterprise; If the third preset value ≤ CI < the second preset value, the target enterprise is a stable enterprise; If CI is less than the third preset value, the target enterprise is a basic enterprise; Among them, the third preset value<the second preset value<the first preset value.
[0036] Preferably, the enterprise engineering application solution for output adaptation specifically includes: Based on the comprehensive index CI, various basic factor indicators and various additional factor indicators, the enterprise engineering application plan is output.
[0037] In the above, enterprises are rated by the comprehensive index CI. Different levels of enterprises have different tendencies when outputting enterprise engineering application solutions. For example, when the same individual indicator value is too low, the enterprise engineering application solutions for potential enterprises and stable enterprises are different.
[0038] The following are some simple examples to illustrate the above process: Example 1 Company Profile: Company A focuses on high-end chip research and development and is in a leading position in technology in the industry. In the past, it has successfully launched a number of chip products with excellent performance and high market share. It has a top R&D team and complete R&D facilities, sufficient funds, and in-depth cooperation with many universities and research institutions.
[0039] Data performance: After data collection and processing, the comprehensive index CI is calculated to be 0.92 (assuming the first preset value is 0.9), which is far beyond the evaluation standard of excellent enterprises. In terms of various basic factor indicators, the project goals and tasks are completed well, the new product development progress is delivered ahead of schedule or on time, and the product yield rate is as high as 98%; the technical factors are outstanding, the technical maturity is at the forefront of the industry, the number of patent applications exceeds 100 each year, and the technology iteration is rapid; in terms of resource factors, a large number of high-end chip talents are gathered, the investment in research and development funds increases by 30% year by year, and the experimental equipment is advanced; in the additional factor indicators, the organizational structure is flexible and efficient, cross-departmental collaboration is close, safety control is strict, there have been no major safety accidents for many years, the policy fit is high, it is in line with the national strategy of encouraging independent chip research and development, and enjoys a number of tax incentives and policy support.
[0040] Rating: Because CI>0.9, Company A was rated as an excellent company.
[0041] Engineering application plan: The plan tends to strengthen industry leadership and international expansion. It is recommended that Company A take the lead in establishing an industry technology alliance, formulate higher chip performance standards, and lead industry upgrades; increase the introduction of international high-end talents, deploy global R&D centers, and use international cutting-edge scientific research results to feed back domestic R&D; expand overseas markets, participate in international chip standard-setting meetings, and enhance international voice; use strong financial strength to carry out forward-looking basic research projects, such as quantum chip technology pre-research, to lay the foundation for the company's technology reserves in the next ten years; optimize the organizational structure, transform to a global project system, and further improve cross-regional collaboration efficiency.
[0042] Example 2 Company Profile: Company B has been established for five years and focuses on battery management system (BMS) accessories for new energy vehicles. Its product performance has begun to show advantages and has entered the supply chains of many automobile companies. However, the company's scale and technological accumulation are not as good as those of the leading companies in the industry.
[0043] Data performance: The comprehensive index CI is 0.75 (assuming the first preset value is 0.9 and the second preset value is 0.7), which falls into the potential enterprise range. Among the basic factor indicators, the engineering goals and tasks are progressing smoothly, and the orders are delivered on time, but the new product development cycle is slightly longer, and the average delay is 10% over the plan; in terms of technical factors, the core algorithm is mastered, and the product energy efficiency conversion rate reaches the industry average of 120%, but the scale of the technical research and development team is small, and the technology iteration depends on external cooperation; in terms of resource factors, the manpower allocation basically meets the current production, the financial resources are increasing year by year, but the capital chain is tight, and the equipment update is slightly lagging behind; in terms of additional factors, the organizational structure is simple and flat, which is conducive to communication, but the scientific nature of the decision-making process needs to be improved, the investment in safety management is gradually increasing, but there are still hidden dangers, the policy sensitivity is high, and the business direction is adjusted closely following the new energy subsidy policy.
[0044] Rating: Given that 0.7<CI<0.9, Company B is a potential company.
[0045] Engineering application plan: The plan focuses on rapid growth and short board filling. In terms of engineering, we optimized the project management process, introduced agile development methods, and shortened the new product development cycle by 20%; in terms of technology, we increased independent research and development investment, expanded the technical team by 50%, established an internal technology research and development laboratory, and reduced external technology dependence; when allocating resources, we broadened financing channels, prepared listing plans, and introduced strategic investment to accelerate equipment upgrades; the organizational structure was adjusted to a matrix type to strengthen the coordination between projects and functional departments; in terms of safety management, we upgraded safety testing equipment and regularly conducted safety training for all employees; we paid close attention to policy changes and planned the development of accessories related to the next generation of battery technology in advance to meet the long-term policy orientation.
[0046] Example 3 Company Profile: Company C has been engaged in mechanical parts processing for 30 years. It has mature technology, stable customers, and focuses on mid-to-high-end precision mechanical parts. Its product quality is excellent and it has a good market reputation.
[0047] Data performance: The comprehensive index CI is 0.6 (assuming the second preset value is 0.7 and the third preset value is 0.5), which is in the category of stable enterprises. The basic factor indicators show that the project goals and tasks are precisely controlled, the production plan execution rate exceeds 95%, and the product qualification rate is stable at 97%; in terms of technical factors, the technology is mature but traditional, and the pace of technological innovation has been slow in the past five years; in terms of resources, the manpower is experienced but the age structure is older, the equipment is old but the maintenance is in place, and the capital flow is stable; in terms of additional factors, the organizational structure is clearly hierarchical and operates in an orderly manner, the safety management system is perfect, the policy adaptability is average, and it is less affected by the fluctuations of traditional manufacturing policies.
[0048] Rating: Since 0.5<CI<0.7, Company C is a stable company.
[0049] Engineering application plan: The plan focuses on stable operation and moderate upgrade. In terms of engineering, a digital production management system is introduced to improve production efficiency by 15% and accurately control the progress of orders; on the technical side, cooperation with universities is carried out in industry-university-research projects, 10% of profits are invested in new technology research and development each year, and old equipment is gradually updated to intelligent processing equipment; in terms of resource management, a mentoring program for old employees is launched, young technical talents are recruited, and the human resource structure is optimized; the organizational structure is fine-tuned, a technical innovation department is added, and process improvements are independently promoted; in terms of safety, the existing system is continuously consolidated and intelligent safety monitoring equipment is introduced; attention is paid to the industry's green manufacturing policies, and environmental protection processes are upgraded to ensure the long-term compliance and stable development of the company.
[0050] Example 4: Company profile: Company D was established just one year ago and is engaged in the assembly of simple smart home products. Its products are highly homogeneous, its market competitiveness is weak, its funds are tight, and its team is still in the process of running in.
[0051] Data performance: The comprehensive index CI is 0.35 (assuming the third preset value is 0.5), which is classified as a basic enterprise. The basic factor indicators are not optimistic. The project goals and tasks are often delayed due to interruptions in the supply of raw materials, and the product defective rate is as high as 15%; there is a lack of technical factors, no independent research and development capabilities, and reliance on purchased parts and technology; resources are severely limited, employees have single skills, equipment is simple, and funds are often cut off; among the additional factors, the organizational structure is chaotic, responsibilities are unclear, safety management is almost blank, and the smart home industry policy is unfamiliar, and policy dividends have not been enjoyed.
[0052] Rating: Since CI is less than 0.5, Enterprise D is a basic enterprise.
[0053] Engineering application plan: The plan aims to consolidate the foundation and get out of the predicament. In terms of engineering, we optimized supply chain management, signed contracts with multiple raw material suppliers, ensured a stable supply of raw materials, and reduced the defective rate to less than 5%; in terms of technology, we recruited technical consultants to guide the establishment of a small R&D team, carried out differentiated functional R&D, and increased product added value; in terms of resource integration, we carried out employee skills training, improved employees' multi-skill level, leased advanced assembly equipment, and alleviated financial pressure; reshaped the organizational structure, clarified departmental responsibilities and reporting procedures; built a safety management process from scratch, and conducted regular self-inspections and self-corrections; conducted in-depth research on smart home industry policies, applied for entrepreneurship subsidies and science and technology support funds, and started development with the help of policy support.
[0054] Through the above examples of different types of enterprises, we can intuitively see that the rating is determined by comprehensive indicators. Different rated enterprises have different focuses on corresponding engineering application solutions, which are in line with the actual development needs of the enterprise and accurately help enterprises transform and upgrade with the help of aerospace management model concepts.
[0055] Preferably, the enterprise engineering application evaluation system based on the aerospace management model of the present invention also includes a visualization module, which is used to present the analysis results of the target enterprise, the enterprise's level and the enterprise's engineering application plan in the form of data. The visualization module supports the construction of an industrial map of multiple target enterprises. The analysis results of the target enterprise, the enterprise's level and the enterprise's engineering application plan can be stored in a storage module. The storage module can be a cloud storage module, a local storage module, or a module integrating cloud storage and local storage.
[0056] In the above, the industrial map coordinate positioning method is used to construct the industrial map of multiple target enterprises. The industrial map coordinate positioning formula is: Among them, X is the horizontal coordinate of the target enterprise in the industry map, Y is the vertical coordinate of the target enterprise in the industry map, ω T and ω M are the weights of technological innovation capability and market competitiveness, n T is the number of sub-indicators under the dimension of technological innovation capability, a Ti is the weight of the i-th technological innovation sub-index, y Ti is the corresponding standardized value, n M is the number of subdivision indicators under the market competitiveness dimension, b Mi is the weight of the jth market competitiveness segmentation indicator, z Mi is the standardized value of the j-th market competitiveness segment indicator, ω R and ω CI are the weights of resource integration capability and comprehensive index CI, n R is the number of subdivided indicators under the resource integration capability dimension, c Rkis the weight of the kth resource integration subdivision indicator, u Rk is the standardized value of the kth resource integration subdivision indicator.
[0057] It should be noted that the above describes a specific embodiment of the present invention. Other embodiments are within the scope of the present invention. In some cases, the actions or steps described above can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the process depicted in the accompanying drawings does not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
[0058] For the convenience of description, the above device is described as being divided into various modules according to their functions. Of course, when implementing the present invention, the functions of each module can be implemented in the same or multiple software and / or hardware.
[0059] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.
[0060] Each embodiment of the present invention is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.
[0061] Those skilled in the art should understand that the discussion of any of the above embodiments is merely illustrative and is not intended to imply that the scope of the present disclosure is limited to these examples. Based on the concept of the present disclosure, the technical features in the above embodiments or different embodiments may be combined, the steps may be implemented in any order, and there are many other variations of different aspects of one or more embodiments of the present invention as described above, which are not provided in detail for the sake of simplicity.
[0062] While the disclosure has been described in conjunction with specific embodiments thereof, many alternatives, modifications and variations of these embodiments will be apparent to those skilled in the art in light of the foregoing description.
[0063] One or more embodiments of the present invention are intended to cover all such replacements, modifications and variations that fall within the broad scope of the present invention. Therefore, any omissions, modifications, equivalent replacements, improvements, etc. made within the spirit and principles of one or more embodiments of the present invention should be included in the protection scope of this disclosure.
Claims
1. An enterprise engineering application evaluation system based on aerospace management mode, characterized by: The system comprises: A data collection module, which is used to collect enterprise data of target enterprises; A data processing module, which is used to process the enterprise data of the target enterprise; A storage module, which is used to store the aerospace management mode model; An analysis module, which is used to analyze the target enterprise based on the aerospace management mode model; The evaluation module is used to rate the target enterprise according to the analysis results of the target enterprise and output an adaptive enterprise engineering application solution.
2. The enterprise engineering application evaluation system based on aerospace management mode according to claim 1 is characterized in that: The enterprise data includes project goal and task data, technical data, resource data, organizational structure data, business model data, safety data, quality data and policy data.
3. The enterprise engineering application evaluation system based on aerospace management mode according to claim 2 is characterized in that: The engineering goal and task data include one or more of task type data, task complexity data, task goal and requirement data, and task time node and progress data; the technical data include one or more of technology maturity data, technology risk data, technology compatibility data, system integration data, and technology iteration data; the resource data include one or more of human resources data, material resources data, and financial resources data.
4. The enterprise engineering application evaluation system based on aerospace management mode according to claim 2 is characterized in that: The aerospace management model is: Among them, CI is a comprehensive index, n is the number of basic factors, and w is i is the weight of the i-th basic factor, f(x i ) is the score function of the ith basic factor, g(x i ) is the correlation correction function of the ith basic factor, k and b are adjustment coefficients, m is the number of additional factors, h(x j ) is the score function of the jth additional factor, ω and are the trigonometric function parameters respectively.
5. The enterprise engineering application evaluation system based on aerospace management mode according to claim 4 is characterized in that: n is equal to 3, and the basic factors include engineering goal and task data, technical data and resource data; m is equal to 5, and the additional factors include organizational structure data, business model data, safety data, quality data and policy data.
6. The enterprise engineering application evaluation system based on aerospace management mode according to claim 4 is characterized in that: The score function of the i-th basic factor is: Among them, l is the number of sub-indicators of the i-th basic factor, α ik is the weight of the kth sub-indicator of the ith basic factor, y ik is the standardized original score of the kth sub-indicator of the ith basic factor, q is the number of positive dynamic adjustment factors in the ith basic factor, d it is the weight of the tth positive adjustment factor in the ith basic factor, z it is the actual value of the tth positive adjustment factor in the ith basic factor, r is the number of negative dynamic adjustment factors in the ith basic factor, e im is the weight of the mth negative adjustment factor in the ith basic factor, w im is the actual value of the mth negative adjustment factor in the ith basic factor.
7. The enterprise engineering application evaluation system based on aerospace management mode according to claim 4 is characterized in that: The correlation correction function of the i-th basic factor is: Among them, p is the number of other factors closely related to the i-th basic factor, c is is the correlation coefficient of the sth correlation factor of the ith basic factor, b is is the adjustment parameter of the sth associated factor of the ith basic factor, x is It is the standardized comprehensive index value of the sth associated factor of the ith basic factor.
8. The enterprise engineering application evaluation system based on aerospace management mode according to claim 4 is characterized in that: The score function of the j-th additional factor is: Among them, u is the number of key qualitative evaluation dimensions of the jth additional factor, f jn is the score weight of the nth qualitative dimension of the jth additional factor, v jn is the actual score of the nth qualitative dimension of the jth additional factor, v is the number of positive environmental adaptation factors in the jth additional factor, g jo is the weight of the oth positive factor in the jth additional factor, u jo is the actual value of the oth positive factor in the jth additional factor, w is the number of negative environmental adaptation factors in the jth additional factor, h jp is the weight of the pth negative factor in the jth additional factor, S jp is the actual value of the pth negative factor in the jth additional factor, λ is the environmental sensitivity coefficient, T is the current time, τ j is the key time node of the jth additional factor.
9. The enterprise engineering application evaluation system based on aerospace management mode according to claim 4 is characterized in that: Rating the target enterprise based on the analysis results of the target enterprise specifically includes: If CI ≥ the first preset value, the target enterprise is an excellent enterprise; If the second preset value ≤ CI < the first preset value, the target enterprise is a potential enterprise; If the third preset value ≤ CI < the second preset value, the target enterprise is a stable enterprise; If CI is less than the third preset value, the target enterprise is a basic enterprise; Among them, the third preset value<the second preset value<the first preset value.
10. The enterprise engineering application evaluation system based on aerospace management mode according to claim 4 is characterized in that: The enterprise engineering application solutions for output adaptation include: Based on the comprehensive index CI, various basic factor indicators and various additional factor indicators, an enterprise engineering application plan is output.
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