Intelligent Application of Raw Material Supply Chain Planning System Based on Genetic Algorithm

Xu, Feng; Zhang, Yu-Meng; Su, Yi; Li, Jia; Zhu, Jiaming

doi:10.1155/2022/5054529

Cited by 6 publications

(7 citation statements)

References 31 publications

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“…Another important factor is the "level of raw material procurement (LRMP)." Te result is consistent with the studies of Askariazad and Wanous [60] and Xu et al [61]. Te supply level and level of raw materials are important in terms of realizing production levels at the desired level in the supply chain management, including the COVID-19 process.…”

Section: Conclusion and Suggestionssupporting

confidence: 91%

Supply Chain Management (SCM) Breakdowns and SCM Strategy Selection during the COVID-19 Pandemic Using the Novel Rough MCDM Model

et al. 2023

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Supply chain management (SCM) is deeply affected by the COVID-19 pandemic besides breakdowns occurred in all sectors. Nowadays, managers need techniques for protecting supply chains from serious and costly disruptions, establishing permanent relationships with the customers and partners and preventing breakdowns throughout the process. Each firm needs to determine SCM strategies to be prepared for breakdowns in an intense competitive environment. With COVID-19, the change in business and trade environments has taken a different dimension, and it has revealed a new relationship between the efforts to perpetuate supply chains and strategies for supply chain management and enabled new models. In this study, it is aimed to prioritize the factors that lead to SCM breaks needed in project management and the realization of projects, and to choose the most successful SCM strategy considering COVID-19. For this purpose, rough SWARA was used for weighting factors and rough MARCOS was used for the alternative selection. According to the findings, the transportation capacity factor was found to be the most important factor leading to SCM breakdowns. The most ideal supply chain management strategy has been the “collaborative supply chain management strategy.” In the food manufacturing sector, the study can be considered as a roadmap in terms of preventing supply chain management breaks during the COVID-19 process and helping to ensure a sustainable production. As another theoretical and practical importance of the study, it is aimed to propose a robust, powerful, and practical decision-making model that can cope with the current uncertainties.

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Section: Conclusion and Suggestionssupporting

confidence: 91%

Supply Chain Management (SCM) Breakdowns and SCM Strategy Selection during the COVID-19 Pandemic Using the Novel Rough MCDM Model

et al. 2023

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“…e convergence rate decreased by 0.003 percentage points. Factor flow affected the growing convergence of urban-rural integration development through the interaction effect with urban-rural integration development [35][36][37].…”

Section: Replace Interpreted Variablementioning

confidence: 99%

“…The convergence rate decreased by 0.003 percentage points. Factor flow affected the growing convergence of urban-rural integration development through the interaction effect with urban-rural integration development [ 35 – 37 ]. The capital flow positively affected the growing convergence of urban-rural integration development, while labor and technology flow showed a slowing effect on the growing convergence of urban-rural integration development.…”

Section: Further Analysismentioning

confidence: 99%

[Retracted] Regional Differences and Convergence of Urban‐Rural Integration Development from the Perspective of Factor Flow

Zhang

Song

et al. 2022

Journal of Environmental and Public Health

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Based on the panel data of thirty-one provinces in China from 2003 to 2020, we constructed an evaluation index system of urban-rural integration development level from the perspective of factor flow. The combined weighting model of GI and CRITIC were used to evaluate the regional urban-rural integration development. The coefficient of variation and panel fixed effect model was used to explore convergence, absolute convergence, and conditional convergence. The impact of capital, labor, and technology factor flow on the convergence of urban-rural integration development level was further investigated. In addition, the difference analysis in time scale and impulse response function analysis was performed to explore the regular pattern of factor flow on the convergence of urban-rural integration development. The main conclusions were as follows: first, the growth of urban-rural integration development had an absolute convergence trend and tended to conditional convergence faster. Second, the capital flow positively affected the convergence of urban-rural integration development, while labor and technology flow had a slowing effect on the convergence of urban-rural integration development at this stage. Third, the impact of factor flow on the convergence of urban-rural integration development was dissimilar during different phases. The convergence rate of urban-rural integration development after 2012 was drastically slower than before.

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“…When considering the liquidity of the market, we can introduce liquidity parameters, add liquidity indicators to the trading ratio, and adjust the trading strategy based on the open interest. At the same time, according to the international situation, the index of international situation judgment is introduced to judge the international situation ( He et al, 2021 ; Jia-Bao et al, 2021 ; Xu et al, 2022 ; Yang et al, 2022 ; Zhu et al, 2022 ). This article obtains a better trading strategy by studying the combined trading of gold and bitcoin, and proves the superiority and stability of the model.…”

Section: Discussionmentioning

confidence: 99%

Mathematical processing of trading strategy based on long short-term memory neural network model

Wang

Li²,

Tie³

et al. 2022

Front. Comput. Neurosci.

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At present, gold and bitcoin have become mainstream assets in market transactions. Due to the volatility of gold and bitcoin prices, we can buy and sell assets like gold and bitcoin the same way we buy and sell stocks. The research goal of this article is to develop an optimal trading strategy that maximizes our post-trade returns. By studying the relationship between the two, on the one hand, it supplements and enriches the theoretical research on the rate of return of gold and Bitcoin, on the other hand, it provides a certain reference for investors to construct investment strategies. The research on the cointegration relationship between them has important practical significance. At the same time, it has important practical significance for the research on the cointegration relationship between bitcoin and gold.

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Intelligent Application of Raw Material Supply Chain Planning System Based on Genetic Algorithm

Cited by 6 publications

References 31 publications

Supply Chain Management (SCM) Breakdowns and SCM Strategy Selection during the COVID-19 Pandemic Using the Novel Rough MCDM Model

Supply Chain Management (SCM) Breakdowns and SCM Strategy Selection during the COVID-19 Pandemic Using the Novel Rough MCDM Model

[Retracted] Regional Differences and Convergence of Urban‐Rural Integration Development from the Perspective of Factor Flow

Mathematical processing of trading strategy based on long short-term memory neural network model

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