{"title":"Construction of enterprise comprehensive management system based on information reconstruction and IoT","authors":"Jiajun Li, Zhaoying Jia, Fen Wang","doi":"10.1007/s13198-024-02304-z","DOIUrl":null,"url":null,"abstract":"<h3>Abstract</h3> <p>The construction of information management system is the basis to consider the management level of an enterprise, so the construction of enterprise management information system is an important problem to be solved by enterprises. Using advanced software technology is an important way to improve the level of enterprise management. At the same time, innovative management form is also an important embodiment of enterprise system innovation. The development of cloud platform and Internet of things technology has brought revolutionary impact on enterprise management mode, methods and means. Based on information reconstruction model and Internet of things technology, this paper constructs an enterprise integrated management system, in order to provide reference for the development of enterprises. Novelty of the paper is: (1) Infrastructure level. The comprehensive management informatization is very important to the enterprise management decision-making, which is the key to improve the management level of the enterprise, hence, we use the novel MIS model to make the system efficient. We improve the traditional MIS model to make it fit for the business analytic process. (2) Algorithm design level. The traditional genetic algorithm will converge to a point in the iterative solution, resulting in inbreeding and destroying the diversity of the population. Therefore, the algorithm can only get the internal optimal value and cannot get the global optimal solution. Hence, we consider the novel data analytic model to make the system efficient. We optimize the traditional GA to make it robust for the complex data scenarios. (3) Application level. The business intelligence scenario is considered as the applications. The performance of the proposed pipeline is verified through the experimental analysis, we compare the proposed model with the latest ones and test the performance on regression performance, average response time of the system, number of hits per second of the system and the overall comparison analysis.</p>","PeriodicalId":14463,"journal":{"name":"International Journal of System Assurance Engineering and Management","volume":"11 1","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2024-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of System Assurance Engineering and Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s13198-024-02304-z","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
The construction of information management system is the basis to consider the management level of an enterprise, so the construction of enterprise management information system is an important problem to be solved by enterprises. Using advanced software technology is an important way to improve the level of enterprise management. At the same time, innovative management form is also an important embodiment of enterprise system innovation. The development of cloud platform and Internet of things technology has brought revolutionary impact on enterprise management mode, methods and means. Based on information reconstruction model and Internet of things technology, this paper constructs an enterprise integrated management system, in order to provide reference for the development of enterprises. Novelty of the paper is: (1) Infrastructure level. The comprehensive management informatization is very important to the enterprise management decision-making, which is the key to improve the management level of the enterprise, hence, we use the novel MIS model to make the system efficient. We improve the traditional MIS model to make it fit for the business analytic process. (2) Algorithm design level. The traditional genetic algorithm will converge to a point in the iterative solution, resulting in inbreeding and destroying the diversity of the population. Therefore, the algorithm can only get the internal optimal value and cannot get the global optimal solution. Hence, we consider the novel data analytic model to make the system efficient. We optimize the traditional GA to make it robust for the complex data scenarios. (3) Application level. The business intelligence scenario is considered as the applications. The performance of the proposed pipeline is verified through the experimental analysis, we compare the proposed model with the latest ones and test the performance on regression performance, average response time of the system, number of hits per second of the system and the overall comparison analysis.
期刊介绍：
This Journal is established with a view to cater to increased awareness for high quality research in the seamless integration of heterogeneous technologies to formulate bankable solutions to the emergent complex engineering problems.
Assurance engineering could be thought of as relating to the provision of higher confidence in the reliable and secure implementation of a system’s critical characteristic features through the espousal of a holistic approach by using a wide variety of cross disciplinary tools and techniques. Successful realization of sustainable and dependable products, systems and services involves an extensive adoption of Reliability, Quality, Safety and Risk related procedures for achieving high assurancelevels of performance; also pivotal are the management issues related to risk and uncertainty that govern the practical constraints encountered in their deployment. It is our intention to provide a platform for the modeling and analysis of large engineering systems, among the other aforementioned allied goals of systems assurance engineering, leading to the enforcement of performance enhancement measures. Achieving a fine balance between theory and practice is the primary focus. The Journal only publishes high quality papers that have passed the rigorous peer review procedure of an archival scientific Journal. The aim is an increasing number of submissions, wide circulation and a high impact factor.
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