In the era of the digital countryside, rural tourism has been innovated and developed with the help of intelligent technologies such as Internet +, artificial intelligence, cloud and big data, and blockchain, which has dramatically improved the employment opportunities of traditional rural women and effectively improved the overall welfare level. This paper adopts fuzzy mathematics comprehensive evaluation method to calculate the general welfare and perception of functional activities of female tourism practitioners. It puts forward suggestions for the sustainable development of rural tourism in the context of the digital countryside.
{"title":"Welfare Evaluation of Female Tourism Practitioners under the Background of the Digital Countryside","authors":"Pan-pan Zhao, Junyi Wei, Yu Song, Qian Li, Qin Yang, Tingting Ni","doi":"10.1109/ICCSMT54525.2021.00123","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00123","url":null,"abstract":"In the era of the digital countryside, rural tourism has been innovated and developed with the help of intelligent technologies such as Internet +, artificial intelligence, cloud and big data, and blockchain, which has dramatically improved the employment opportunities of traditional rural women and effectively improved the overall welfare level. This paper adopts fuzzy mathematics comprehensive evaluation method to calculate the general welfare and perception of functional activities of female tourism practitioners. It puts forward suggestions for the sustainable development of rural tourism in the context of the digital countryside.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133078463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-01DOI: 10.1109/ICCSMT54525.2021.00114
Yu Liu, Xiaobo Hu, Yutao Lu, Lin Zhu, Haiyan Yang, Xinyu He
As environmental problems become more and more serious, various industries in society are paying much more attention to the control of carbon dioxide and other greenhouse gas emissions. Many related emission reduction policies have emerged as a response to the special time. The carbon allowance system is one of them; the proposal of the “double carbon goal” (Carbon peak, carbon neutrality) is also an important test for Chinese traditional energy companies, and has brought a series of development problems to them. As a major part of the social energy industry, in China, power industry emits half amount of carbon dioxide each year. Therefore, the carbon emissions of the power industry have received great attention. Because coal power generation has the characteristics of high pollution and high energy consumption, the emission reduction of coal power companies is also one of the main positions for the power industry to achieve the “double carbon goal”. The carbon allowance system has brought considerable challenges to the operation and development of thermal power companies. Thermal power companies must make full use of the market to optimize resource allocation and reduce operating costs. At the same time, they also need to transform the external pressure brought by the carbon allowance system into high-quality development, and actively seek the transformation of power generation emission reduction technology. This article mainly studies the impact of carbon emission rights trading on thermal power companies, and conducts strategic optimization analysis on the emission reduction technology transformation of thermal power companies to help them find the most economical emission reduction transformation plan to meet the development requirements of the new situation.
{"title":"Optimization analysis of emission reduction transformation strategy for thermal power enterprises under carbon allowance system","authors":"Yu Liu, Xiaobo Hu, Yutao Lu, Lin Zhu, Haiyan Yang, Xinyu He","doi":"10.1109/ICCSMT54525.2021.00114","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00114","url":null,"abstract":"As environmental problems become more and more serious, various industries in society are paying much more attention to the control of carbon dioxide and other greenhouse gas emissions. Many related emission reduction policies have emerged as a response to the special time. The carbon allowance system is one of them; the proposal of the “double carbon goal” (Carbon peak, carbon neutrality) is also an important test for Chinese traditional energy companies, and has brought a series of development problems to them. As a major part of the social energy industry, in China, power industry emits half amount of carbon dioxide each year. Therefore, the carbon emissions of the power industry have received great attention. Because coal power generation has the characteristics of high pollution and high energy consumption, the emission reduction of coal power companies is also one of the main positions for the power industry to achieve the “double carbon goal”. The carbon allowance system has brought considerable challenges to the operation and development of thermal power companies. Thermal power companies must make full use of the market to optimize resource allocation and reduce operating costs. At the same time, they also need to transform the external pressure brought by the carbon allowance system into high-quality development, and actively seek the transformation of power generation emission reduction technology. This article mainly studies the impact of carbon emission rights trading on thermal power companies, and conducts strategic optimization analysis on the emission reduction technology transformation of thermal power companies to help them find the most economical emission reduction transformation plan to meet the development requirements of the new situation.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123462653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-01DOI: 10.1109/ICCSMT54525.2021.00043
Cheng-Han Wu
Technical analysis has received much debate on its values in the financial industry in the past decades, partially due to its subjective nature of extracting and encoding patterns from the candlestick charts. Although financial professionals manually work with charting patterns during their daily trading activity, technical analysis using computer vision and deep learning models has emerged only recently. We propose a solution that addresses two research objectives of technical analysis: 1) predicting bullish/bearish; 2) predicting technical analysis patterns using computer vision techniques. We show that our approach provides a promising avenue to identify technical analysis patterns accurately, which may shed light on automating technical analysis in the financial industry.
{"title":"Empowering Financial Technical Analysis using Computer Vision Techniques","authors":"Cheng-Han Wu","doi":"10.1109/ICCSMT54525.2021.00043","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00043","url":null,"abstract":"Technical analysis has received much debate on its values in the financial industry in the past decades, partially due to its subjective nature of extracting and encoding patterns from the candlestick charts. Although financial professionals manually work with charting patterns during their daily trading activity, technical analysis using computer vision and deep learning models has emerged only recently. We propose a solution that addresses two research objectives of technical analysis: 1) predicting bullish/bearish; 2) predicting technical analysis patterns using computer vision techniques. We show that our approach provides a promising avenue to identify technical analysis patterns accurately, which may shed light on automating technical analysis in the financial industry.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129140238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-01DOI: 10.1109/ICCSMT54525.2021.00027
Wu-yong Ding
University award management plays an important role in cultivating students' good quality. However, at the present stage, most colleges and universities have scattered award management structures and generally use traditional manual means of information office. The shortcomings of low system efficiency, high error rate and complex repetition have made students and faculty complain. In this paper, the current situation of award management system for college students is studied. According to the phenomenon, the causes of the problems are analyzed in depth. Combined with the practical experience of the management of colleges and universities, the significance of the construction of the system is analyzed, and the multi-parameter award management system is constructed, which is realized by using the management information system.
{"title":"Analysis and Design of College Student Award Management System","authors":"Wu-yong Ding","doi":"10.1109/ICCSMT54525.2021.00027","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00027","url":null,"abstract":"University award management plays an important role in cultivating students' good quality. However, at the present stage, most colleges and universities have scattered award management structures and generally use traditional manual means of information office. The shortcomings of low system efficiency, high error rate and complex repetition have made students and faculty complain. In this paper, the current situation of award management system for college students is studied. According to the phenomenon, the causes of the problems are analyzed in depth. Combined with the practical experience of the management of colleges and universities, the significance of the construction of the system is analyzed, and the multi-parameter award management system is constructed, which is realized by using the management information system.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128937757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-01DOI: 10.1109/ICCSMT54525.2021.00119
Yongkang He, Xu Li
At present, China's leisure snacks have reached a trillion, and the market scale is still growing steadily. The growth rate online is higher than that offline, and there is room for improvement in market capacity and price. Based on this, the article firstly combed the leisure snack industry development status, current research status, and related theory, based on using the concept of AISAS marketing theory to each shop network marketing strategy are analyzed, and discuss the main problems of network marketing, and based on the AISAS theory analyses the Bestore online user satisfaction, prepare the survey found that: Based on the above survey data, this paper puts forward the network marketing strategy of attracting attention, product search, purchase behavior, and social sharing, and thinks that customer satisfaction can be improved from IP benefits, cultural construction, quality management, marketing interaction, and other aspects.
{"title":"Analysis of network marketing strategy of Bestore based on AISAS theory","authors":"Yongkang He, Xu Li","doi":"10.1109/ICCSMT54525.2021.00119","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00119","url":null,"abstract":"At present, China's leisure snacks have reached a trillion, and the market scale is still growing steadily. The growth rate online is higher than that offline, and there is room for improvement in market capacity and price. Based on this, the article firstly combed the leisure snack industry development status, current research status, and related theory, based on using the concept of AISAS marketing theory to each shop network marketing strategy are analyzed, and discuss the main problems of network marketing, and based on the AISAS theory analyses the Bestore online user satisfaction, prepare the survey found that: Based on the above survey data, this paper puts forward the network marketing strategy of attracting attention, product search, purchase behavior, and social sharing, and thinks that customer satisfaction can be improved from IP benefits, cultural construction, quality management, marketing interaction, and other aspects.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128945202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-01DOI: 10.1109/ICCSMT54525.2021.00016
Dongxian Zhou, Sansan Li
With the rapid development of computer programming and Internet technology, automated trading accounts for an increasing proportion of the financial market. Many investors have also discovered that automated trading has the advantages of being systematic, accurate, timely, decentralized, disciplined, refined and probabilistic to win, and they have applied automated trading to capture market conditions. In many years of actual program trading, the author discovered an automatic trading system with a high return-to-risk ratio based on the model of adding positions following trend. This article elaborates on the design and implementation methods of constructing the system from the theoretical basis, trading strategy, capital management strategy, system design, program implementation, etc., and tests it with reasonable trading parameters. The test results show that the automatic trading system has good profit potential.
{"title":"The construction of an automatic trading system with a high return-to-risk ratio based on the model of adding positions following trend","authors":"Dongxian Zhou, Sansan Li","doi":"10.1109/ICCSMT54525.2021.00016","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00016","url":null,"abstract":"With the rapid development of computer programming and Internet technology, automated trading accounts for an increasing proportion of the financial market. Many investors have also discovered that automated trading has the advantages of being systematic, accurate, timely, decentralized, disciplined, refined and probabilistic to win, and they have applied automated trading to capture market conditions. In many years of actual program trading, the author discovered an automatic trading system with a high return-to-risk ratio based on the model of adding positions following trend. This article elaborates on the design and implementation methods of constructing the system from the theoretical basis, trading strategy, capital management strategy, system design, program implementation, etc., and tests it with reasonable trading parameters. The test results show that the automatic trading system has good profit potential.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117047057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-01DOI: 10.1109/ICCSMT54525.2021.00026
Yang Yang, Kun Li, Qingfen Zhang, Ying Wang
Aiming at the problems of inappropriate decomposition of software testing requirements and inexperienced testers in the software testing process, the paper proposes a software implicit testing requirements excavation method based on failure modes. Failure modes are obtained by analyzing historical failure data with the fault tree analysis method, according to which the testing guidelines corresponding to them are established afterwards. Implicit test requirements are testing requirements that are not mentioned in the software development requirements document but have occurred in other software with similar testing requests. The extraction of implied testing requirements relies on matching the semantic similarity between the development requirements document and the testing guidelines. The testing requirements that are not described in the development requirements document are complemented by the testing guidelines. The excavation of implied testing requirements complements the testing outline formed by the original decomposition of testing requirements according to the development requirement document and reduces the probability of the same problem occurring in the software. The experimental results show that it provides sufficient support for the improvement of testing requirements in the test of software and guarantees the reliability and security of the software efficiently.
{"title":"Research on Excavation Technology of Software Implied Testing Requirements","authors":"Yang Yang, Kun Li, Qingfen Zhang, Ying Wang","doi":"10.1109/ICCSMT54525.2021.00026","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00026","url":null,"abstract":"Aiming at the problems of inappropriate decomposition of software testing requirements and inexperienced testers in the software testing process, the paper proposes a software implicit testing requirements excavation method based on failure modes. Failure modes are obtained by analyzing historical failure data with the fault tree analysis method, according to which the testing guidelines corresponding to them are established afterwards. Implicit test requirements are testing requirements that are not mentioned in the software development requirements document but have occurred in other software with similar testing requests. The extraction of implied testing requirements relies on matching the semantic similarity between the development requirements document and the testing guidelines. The testing requirements that are not described in the development requirements document are complemented by the testing guidelines. The excavation of implied testing requirements complements the testing outline formed by the original decomposition of testing requirements according to the development requirement document and reduces the probability of the same problem occurring in the software. The experimental results show that it provides sufficient support for the improvement of testing requirements in the test of software and guarantees the reliability and security of the software efficiently.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121508483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-01DOI: 10.1109/ICCSMT54525.2021.00086
Qin Jiang, Jiajun Zhan
In this paper, we take three kinds of traditional artificial intelligence (AI) chips as the research object: GPU, FPGA and ASIC, introducing the architecture characteristics and advantages of some famous products which have large influences on the development of this technology, such as NVIDIA V100, Cyclone V, Stratix 10 and so on. The traditional AI chips, including GPU chips, FPGA chips, and Low Power AI ASIC, are analyzed in this article. The main focus is on the cutting-edge technologies and designs in artificial intelligence based on these traditional AI chips in recent 10 years, especially the applications on neural networks and model trainings, such as Kubernets+Docker Container, S2N2 (an FPGA accelerator), FNSim (a simulator of flash), which have become hot areas of scientific research for several years and will be brought on stream widely by scientific and technical corporations in the industry.
本文以GPU、FPGA和ASIC三种传统人工智能芯片为研究对象，介绍了NVIDIA V100、Cyclone V、Stratix 10等对人工智能技术发展影响较大的知名产品的架构特点和优势。本文分析了传统的人工智能芯片，包括GPU芯片、FPGA芯片和Low Power AI ASIC。主要关注的是近10年来基于这些传统人工智能芯片的人工智能前沿技术和设计，特别是在神经网络和模型训练方面的应用，如Kubernets+Docker Container、S2N2 (FPGA加速器)、FNSim (flash模拟器)等，这些都是近年来科学研究的热点领域，将被行业内的科技公司广泛投入使用。
{"title":"Traditional Architecture Artificial Intelligence Chip Technology","authors":"Qin Jiang, Jiajun Zhan","doi":"10.1109/ICCSMT54525.2021.00086","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00086","url":null,"abstract":"In this paper, we take three kinds of traditional artificial intelligence (AI) chips as the research object: GPU, FPGA and ASIC, introducing the architecture characteristics and advantages of some famous products which have large influences on the development of this technology, such as NVIDIA V100, Cyclone V, Stratix 10 and so on. The traditional AI chips, including GPU chips, FPGA chips, and Low Power AI ASIC, are analyzed in this article. The main focus is on the cutting-edge technologies and designs in artificial intelligence based on these traditional AI chips in recent 10 years, especially the applications on neural networks and model trainings, such as Kubernets+Docker Container, S2N2 (an FPGA accelerator), FNSim (a simulator of flash), which have become hot areas of scientific research for several years and will be brought on stream widely by scientific and technical corporations in the industry.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124239189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-01DOI: 10.1109/ICCSMT54525.2021.00066
Su Wu
Improving information transparency will help improve corporate governance and protect the interests of investors, alleviate information asymmetry between owners and operators, reduce transaction costs, thereby improve the efficiency of capital market operations, and promote effective allocation of resources. This paper uses the 2009–2019 data of Shanghai and Shenzhen A-share listed companies with internal control deficiencies, uses the Future Earnings Response Coefficient (FERC) to measure company information transparency, and studies the impact of internal control deficiencies on company information transparency, as well as this under different ownership properties. The study found that as the degree of internal control defects increased, FERC was weakened, indicating that internal control defects will reduce the transparency of company information, and this effect mainly exists in state-owned enterprises, and the performance is not obvious in non-state-owned enterprises. The above conclusion is still valid after controlling endogeneity. The analysis of the function path found that the increase in the degree of internal control defects will increase the degree of accrued earnings management, and reduce the disclosure tendency, frequency, precision and accuracy of management's voluntary performance forecasts, indicating that internal control defects will cause management to provide investors with Lower-quality accounting earnings or voluntary disclosure of less or less reliable private information, thereby reducing the company's information transparency. This article expands the research on the influencing factors of internal control deficiencies. At the same time, the research conclusions have important reference value for improving the company's information transparency.
{"title":"The Effect of Internal Control Technology on the Information Transparency","authors":"Su Wu","doi":"10.1109/ICCSMT54525.2021.00066","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00066","url":null,"abstract":"Improving information transparency will help improve corporate governance and protect the interests of investors, alleviate information asymmetry between owners and operators, reduce transaction costs, thereby improve the efficiency of capital market operations, and promote effective allocation of resources. This paper uses the 2009–2019 data of Shanghai and Shenzhen A-share listed companies with internal control deficiencies, uses the Future Earnings Response Coefficient (FERC) to measure company information transparency, and studies the impact of internal control deficiencies on company information transparency, as well as this under different ownership properties. The study found that as the degree of internal control defects increased, FERC was weakened, indicating that internal control defects will reduce the transparency of company information, and this effect mainly exists in state-owned enterprises, and the performance is not obvious in non-state-owned enterprises. The above conclusion is still valid after controlling endogeneity. The analysis of the function path found that the increase in the degree of internal control defects will increase the degree of accrued earnings management, and reduce the disclosure tendency, frequency, precision and accuracy of management's voluntary performance forecasts, indicating that internal control defects will cause management to provide investors with Lower-quality accounting earnings or voluntary disclosure of less or less reliable private information, thereby reducing the company's information transparency. This article expands the research on the influencing factors of internal control deficiencies. At the same time, the research conclusions have important reference value for improving the company's information transparency.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117142335","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-01DOI: 10.1109/ICCSMT54525.2021.00053
Huiting Jia, J. Lu, Tianci Huang, S. Zhou, Yihao Wang, Xiangzheng Jia
This paper mainly studies the optimal cost planning of production enterprises in supply chain management. The research on this problem can effectively reduce the risk of enterprises in the procurement process, enable enterprises to obtain the maximum benefits with the lowest cost, and enhance the market competitiveness of enterprises. First of all, the data are analyzed and preprocessed to extract three kinds of indicators: supply volume, stability and credit value, and then comprehensively evaluate the quality of suppliers from these three angles. Analytic hierarchy process is too much affected by subjective factors. Considering the combination of AHP analytic hierarchy process and preferential sequence diagram method to establish the optimal weighting model, the weights of each index are 13.043%, 21.739% and 65.217%, respectively. Finally, the comprehensive quality ranking of suppliers is obtained by the comprehensive evaluation method of rank sum ratio, and the top 50 suppliers are selected as the most important suppliers. Then, through the visual analysis of the total supply data of all suppliers, it is not difficult to find that there is a rule in the corresponding number of weeks in the past five years, which is periodic and seasonal. accordingly, the maximum value of weekly supply is used to represent the maximum supply level of suppliers, and the minimum number of suppliers is 127 by using the maximum matrix and 0–1 programming model. After describing the characteristics of the 127 suppliers, the objective function is changed to the 0–1 programming model with the lowest ordering price, and the 24-week ordering plan is obtained. Considering the transport capacity of the transporter and the one-to-one corresponding relationship between the supplier and the transporter each week, the maximum purchase quantity of type A, the minimum purchase quantity of category C and the lowest loss rate are selected as the objective function. The formulation of the plan revolves around the economy and risk of the order quantity, but in order to ensure the absolute guarantee of production demand, the risk is emphasized in the selection of suppliers and transporters, so the economy of the implementation effect is weakened.
{"title":"Research on the Optimal Strategy of Enterprise Raw Material Supply Chain Based on Analytic Hierarchy Process and Comprehensive Evaluation Method","authors":"Huiting Jia, J. Lu, Tianci Huang, S. Zhou, Yihao Wang, Xiangzheng Jia","doi":"10.1109/ICCSMT54525.2021.00053","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00053","url":null,"abstract":"This paper mainly studies the optimal cost planning of production enterprises in supply chain management. The research on this problem can effectively reduce the risk of enterprises in the procurement process, enable enterprises to obtain the maximum benefits with the lowest cost, and enhance the market competitiveness of enterprises. First of all, the data are analyzed and preprocessed to extract three kinds of indicators: supply volume, stability and credit value, and then comprehensively evaluate the quality of suppliers from these three angles. Analytic hierarchy process is too much affected by subjective factors. Considering the combination of AHP analytic hierarchy process and preferential sequence diagram method to establish the optimal weighting model, the weights of each index are 13.043%, 21.739% and 65.217%, respectively. Finally, the comprehensive quality ranking of suppliers is obtained by the comprehensive evaluation method of rank sum ratio, and the top 50 suppliers are selected as the most important suppliers. Then, through the visual analysis of the total supply data of all suppliers, it is not difficult to find that there is a rule in the corresponding number of weeks in the past five years, which is periodic and seasonal. accordingly, the maximum value of weekly supply is used to represent the maximum supply level of suppliers, and the minimum number of suppliers is 127 by using the maximum matrix and 0–1 programming model. After describing the characteristics of the 127 suppliers, the objective function is changed to the 0–1 programming model with the lowest ordering price, and the 24-week ordering plan is obtained. Considering the transport capacity of the transporter and the one-to-one corresponding relationship between the supplier and the transporter each week, the maximum purchase quantity of type A, the minimum purchase quantity of category C and the lowest loss rate are selected as the objective function. The formulation of the plan revolves around the economy and risk of the order quantity, but in order to ensure the absolute guarantee of production demand, the risk is emphasized in the selection of suppliers and transporters, so the economy of the implementation effect is weakened.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131376735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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