Volume 1

Published on November 2023
Research Article
Published on 20 November 2023 DOI: 10.54254/3029-0880/1/2023001
Yinchenyi Feng, Feng Fan, Zhehao Xu, Yiyun Xue
DOI: 10.54254/3029-0880/1/2023001

Investment in ICT has been identified as an important driver of economic expansion and development. It is yet unclear how ICT affects the legal rights index, which regulates the activities of businesses. The proposal's goal is to examine how private ICT spending compares to the index measuring the robustness of legal rights for companies in Europe and Central Asia. This research proposal will investigate the relationship between private ICT investment and the strength of legal rights indices for companies throughout Europe and Central Asia. Dataset WDI.csv from the World Bank will be utilized for the proposed ICT research. This dataset contains indicators such as the index of the strength of legal rights, fixed telephone customers, and investment in public-private partnerships. R-studio will be used to do the actual analysis pf the research findings. The results will help fill gaps in our understanding of how information and communication technologies affect the legal frameworks that govern businesses' operations, and they will inform policymakers and business managers about the value of ICT investment in bolstering the legal rights index and creating a favorable setting in which businesses can thrive.

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Feng,Y.;Fan,F.;Xu,Z.;Xue,Y. (2023). The relationship between private ICT investment and the strength of legal rights indices. Advances in Operation Research and Production Management,1,1-4.
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Research Article
Published on 20 November 2023 DOI: 10.54254/3029-0880/1/2023002
Qiaojun Chen, Jiahe Guang, Lixing Zhang, Yiyang Zhang, Sitong Liu
DOI: 10.54254/3029-0880/1/2023002

The study of gravity anomaly adaptation zones holds significant importance in resource exploration, environmental studies, and marine development. This paper initially collected and preprocessed data on gravity anomalies, dividing them into 16 sub-regions. Subsequently, five statistical parameters of gravity field characteristics—standard deviation, roughness, gradient, gravity entropy, and planar correlation—were introduced, and factor analysis was employed to compute scores for each area. Finally, MATLAB software was utilized to construct a three-dimensional distribution map of gravity anomaly values. The results indicate that factor analysis demonstrates promising applications in the research of data-driven submarine navigation adaptation zones.

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Chen,Q.;Guang,J.;Zhang,L.;Zhang,Y.;Liu,S. (2023). Research analysis of data-driven submarine navigation adaptation zones based on factor analysis. Advances in Operation Research and Production Management,1,5-14.
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Research Article
Published on 20 November 2023 DOI: 10.54254/3029-0880/1/2023003
Jianing Shi, Zhiguo Fang
DOI: 10.54254/3029-0880/1/2023003

Victor Papanek is a famous American designer, design educator and design theorist after the war. Among them, his "critical design theory" plays a crucial role in the formation of sustainable development and environmental protection concepts. In his controversial Designing for the Real World, he called on the American industrial design community to oppose commercial profit-oriented design and focus on the real needs of those ignored by designers. This article explains Papanek's "critical design theory" and his "three principles" of environmental protection, and then explains some of his own insights into this view, and finally constructs Papanek's responsibility framework for designers.

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Shi,J.;Fang,Z. (2023). A glimpse into Victor Papanek's "critical design theory" and its contemporary applications. Advances in Operation Research and Production Management,1,15-19.
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Research Article
Published on 20 November 2023 DOI: 10.54254/3029-0880/1/2023004
Jiahao Gao, Zihao Gao, Zhiwei Zhao, Jianing Wang, Jinrui Liu
DOI: 10.54254/3029-0880/1/2023004

With the rapid development in the field of modern agriculture, an in-depth investigation into various types of agricultural carbon emissions provides essential insights into understanding the spatial patterns and evolving trends of agricultural carbon emissions in China. Taking Liaoning Province as a case study, this paper collects historical monitoring data on agricultural carbon emissions from all provinces and direct-controlled municipalities in China from 2000 to 2020. The data undergoes preprocessing, with missing values addressed using the nearest-neighbor imputation method. Subsequently, based on the IPCC carbon emission coefficient method, the paper calculates the annual agricultural carbon emissions for various categories in Liaoning Province. The study employs scatter plots to make preliminary judgments on the correlation between different carbon emission categories. Finally, an in-depth analysis is conducted using the Spearman correlation coefficient method to explore the relationships among different carbon sources. The research reveals a high correlation among certain carbon sources, providing scientific guidance for reducing agricultural carbon emissions.

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Gao,J.;Gao,Z.;Zhao,Z.;Wang,J.;Liu,J. (2023). A study on the correlation of agricultural carbon emissions in Liaoning Province based on the Spearman correlation coefficient. Advances in Operation Research and Production Management,1,20-26.
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Research Article
Published on 20 November 2023 DOI: 10.54254/3029-0880/1/2023006
Xinping Lv
DOI: 10.54254/3029-0880/1/2023006

In today’s world, big data permeates every industry, leading to a substantial increase in research data and driving the scientific paradigm towards data-intensive research. With the development of intensive research, the demand for data processing and analysis is growing, particularly pronounced in the fields of research and management in universities. Currently, education in China is transitioning from informatization to digitization to enhance the quality of education, research by faculty and students, and the overall operational quality of schools, thereby achieving high-quality development in higher education. Digitization has become a crucial innovative path for the modernization of education in China and is an important strategy for building a high-quality education system. However, many university teachers and students still face challenges such as time-consuming and labor-intensive data processing, lack of relevant technical expertise, and difficulty in seeking guidance from professional experts. At the same time, the number of professionals in the big data industry is gradually increasing, and they aspire to enhance their professional skills through practical experience, earn additional income, but lack suitable avenues. To address these market challenges and pain points, fill market gaps, promote the academic and research capabilities of university faculty and students, improve personnel management efficiency, and advance scientific research in China, this survey is conducted to propose practical and feasible suggestions and actively engage in implementation.

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Lv,X. (2023). Research on the data platform needs of university faculty and students. Advances in Operation Research and Production Management,1,27-34.
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Research Article
Published on 20 November 2023 DOI: 10.54254/3029-0880/1/2023007
Zi'ang Zheng
DOI: 10.54254/3029-0880/1/2023007

The development of digital construction technology has made the practical construction of nonlinear forms possible. In landscape architecture projects, Nonlinear Landscape Structures (NLS) have become the mainstream in design and aesthetics. However, the complex forms of NLS components make it challenging to deliver accurate construction information using traditional design methods. The application of Rhino+Grasshopper Parametric Modeling (RGPM) technology allows the construction of nonlinear geometric forms based on mathematical logic, facilitating precise engineering construction information delivery for NLS components. Nevertheless, there are existing gaps in current research on accurate construction information delivery for NLS components based on RGPM. Firstly, current research primarily focuses on large public buildings, lacking attention to the spatial scale of landscape structures. Secondly, there is a lack of systematic integration based on technical research contents. Thirdly, there is a lack of specific technical application analysis combining actual design, leading to weaker practical guidance for industry practitioners. Therefore, this study selects the precise engineering construction information delivery of perforated panel walls in the space under the Sanya Bridge and the landscape platform of the Beijing Jinding Mountain as research cases. Through the analysis of construction information delivery content and technical challenges in these cases, the necessity of RGPM application is clarified. By analyzing the application of RGPM technology and its outcomes in these cases, concrete examples are provided for the precise construction information delivery of NLS components to fill the research gaps and provide theoretical foundations and application examples for future research.

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Zheng,Z. (2023). Analysis of nonlinear landscape structure components accurate construction information delivery based on Rhino+Grasshopper parametric modeling. Advances in Operation Research and Production Management,1,35-44.
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Research Article
Published on 20 November 2023 DOI: 10.54254/3029-0880/1/2023008
Yuxin Wang, Fanfei Meng, Xiaotian Wang, Chaoyu Xie
DOI: 10.54254/3029-0880/1/2023008

Due to the necessary security for the airport and flight, passengers are required to have strict security check before getting aboard. However, there are frequent complaints of wasting huge amount of time while waiting for the security check. This paper presents a potential solution aimed at optimizing gate setup procedures specifically tailored for Chicago O’Hare International Airport. By referring to queueing theory and performing Monte Carlo simulations, we propose an approach to significantly diminish the average waiting time to a more manageable level. Additionally, our study meticulously examines and identifies the influential factors contributing to this optimization, providing a comprehensive understanding of their impact.

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Wang,Y.;Meng,F.;Wang,X.;Xie,C. (2023). Optimizing the passenger flow for airport security check. Advances in Operation Research and Production Management,1,45-53.
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