Yuling Ran, Wei Bai, Lingwei Kong, Henghui Fan, Xiujuan Yang and Xuemei Li
The purpose of this paper is to develop an appropriate machine learning model for predicting soil compaction degree while also examining the contribution rates of three…
Abstract
Purpose
The purpose of this paper is to develop an appropriate machine learning model for predicting soil compaction degree while also examining the contribution rates of three influential factors: moisture content, electrical conductivity and temperature, towards the prediction of soil compaction degree.
Design/methodology/approach
Taking fine-grained soil A and B as the research object, this paper utilized the laboratory test data, including compaction parameter (moisture content), electrical parameter (electrical conductivity) and temperature, to predict soil degree of compaction based on five types of commonly used machine learning models (19 models in total). According to the prediction results, these models were preliminarily compared and further evaluated.
Findings
The Gaussian process regression model has a good effect on the prediction of degree of compaction of the two kinds of soils: the error rates of the prediction of degree of compaction for fine-grained soil A and B are within 6 and 8%, respectively. As per the order, the contribution rates manifest as: moisture content > electrical conductivity >> temperature.
Originality/value
By using moisture content, electrical conductivity, temperature to predict the compaction degree directly, the predicted value of the compaction degree can be obtained with higher accuracy and the detection efficiency of the compaction degree can be improved.
Details
Keywords
Xiujuan Tian, Jiankun Hu, Caiping Zhang and Yang Zhao
The purpose of this paper is to explore the housing behaviors of rural-urban migrant workers in China and the associated socioeconomic determinants.
Abstract
Purpose
The purpose of this paper is to explore the housing behaviors of rural-urban migrant workers in China and the associated socioeconomic determinants.
Design/methodology/approach
The authors developed a model to empirically identify the effects of income in multi-dimension, destination expected to live in the future, local housing policy, and a set of individual characteristics on housing-related expenditure and home purchase of rural-urban migrants. A survey data collected by the Development Research Center of the State Council was employed.
Findings
The results showed that migrants’ expecting place to live in the future is a significant factor influencing their housing-related decisions. Including migrant workers in local housing security system of the host city could also significantly improve their incentive to purchase home. Income jointly with income stability affects migrants’ housing-related expenditure positively, but has an insignificant effect on home purchases in host city. The cost to buy home in city is still far away from migrant’s affordability is a likely explanation.
Originality/value
To the best of our knowledge, this is the first study aiming to investigate rural-urban migrants’ housing behavior in host city and to empirically identify the associated influencing factors.
Details
Keywords
Xiaoying Li, Xiujuan Jin, Heng Li, Lulu Gong and Deyang Zhou
Considering the substantial benefits derived from the use of Building Information Modeling (BIM) in construction projects, governments and its related sectors have introduced…
Abstract
Purpose
Considering the substantial benefits derived from the use of Building Information Modeling (BIM) in construction projects, governments and its related sectors have introduced mandatory policies requiring the use of BIM. However, little is known about the impact of mandatory policies on BIM-based project performance. Therefore, the purpose of this paper is to provide a systematical understanding on the impact of policy interventions on the implementation practice of innovative technologies.
Design/methodology/approach
This paper utilizes the propensity score matching and difference in differences (PSM-DID) method to investigate the impact of policy interventions on BIM-based project performance. Using the panel data collected from 2015 to 2021 in the Hong Kong construction industry, this paper explores the impact of the first mandatory BIM policy on the BIM-based project performance of three key stakeholders.
Findings
The subjective BIM performance and BIM return on investment (ROI) have significantly improved after implementing the mandatory BIM policy. The promotion effect of mandatory BIM policy on BIM-based project performance gradually increases over time. Moreover, the promotion effect of mandatory BIM policy on BIM performance shows significant heterogeneity for different stakeholders and organizations of different sizes.
Originality/value
This study examined the impact of policy interventions on BIM-based project performance. The research findings can provide a holistic understanding of the potential implications of innovative mandatory policy in performance improvement and offer some constructive suggestions to policymakers and industry practitioners to promote the penetration of BIM in the construction industry.
Details
Keywords
Binghai Zhou, Xiujuan Li and Yuxian Zhang
This paper aims to investigate the part feeding scheduling problem with electric vehicles (EVs) for automotive assembly lines. A point-to-point part feeding model has been…
Abstract
Purpose
This paper aims to investigate the part feeding scheduling problem with electric vehicles (EVs) for automotive assembly lines. A point-to-point part feeding model has been formulated to minimize the number of EVs and the maximum handling time by specifying the EVs and sequence of all the delivery tasks.
Design/methodology/approach
First, a mathematical programming model of point-to-point part feeding scheduling problem (PTPPFSP) with EVs is presented. Because the PTPPFSP is NP-hard, an improved multi-objective cuckoo search (IMCS) algorithm is developed with novel search strategies, possessing the self-adaptive Levy flights, the Gaussian mutation and elite selection strategy to strengthen the algorithm’s optimization performance. In addition, two local search operators are designed for deep optimization. The effectiveness of the IMCS algorithm is verified by dealing with the PTPPFSP in different problem scales.
Findings
Numerical experiments are used to demonstrate how the IMCS algorithm serves as an efficient method to solve the PTPPFSP with EVs. The effectiveness and feasibility of the IMCS algorithm are validated by approximate Pareto fronts obtained from the instances of different problem scales. The computational results show that the IMCS algorithm can achieve better performance than the other high-performing algorithms in terms of solution quality, convergence and diversity.
Research limitations/implications
This study is applicable without regard to the breakdown of EVs. The current research contributes to the scheduling of in-plant logistics for automotive assembly lines, and it could be modified to cope with similar part feeding scheduling problems characterized by just-in-time (JIT) delivery.
Originality/value
Both limited electricity capacity and no earliness and tardiness constraints are considered, and the scheduling problem is solved satisfactorily and innovatively for an efficient JIT part feeding with EVs applied to in-plant logistics.
Details
Keywords
Qinxiang Xia, Xinjian Ming, Jinchuan Long and Xiujuan Liu
The purpose of this paper is to design the whole structure of high-speed automatic casing system (HSACS) for lithium-ion battery (LIB), and verify its rationality and reliability…
Abstract
Purpose
The purpose of this paper is to design the whole structure of high-speed automatic casing system (HSACS) for lithium-ion battery (LIB), and verify its rationality and reliability by kinematic simulation and casing test.
Design/methodology/approach
Based on the software of SolidWorks and ADAMS, the structure of working mechanisms for HSACS was designed, and virtual prototype models of HSACS and main turntable were established to realize the kinematic analysis. The HSACS casing test was also carried out and compared with simulation.
Findings
Simulation results for the designed HSACS were presented graphically and analyzed. The graphical results indicate that the coordination motions among the working mechanisms of HSACS are reasonable and no interference occurs. Casing test results show that the casing quality and production efficiency of HSACS equipment are satisfying.
Originality/value
In the present work, the developed virtual prototype models of HSACS provide reliable kinematic analysis results for the structural design of HSACS, and reasonable motion relations are realized in the designed structure of HSACS. Furthermore, not only the casing quality requirements can be met, but also the production efficiency of high-speed automatic casing machine for LIB is greatly improved via this kind of new HSACS structure.
Details
Keywords
The relationship between state and peasants are reflected as the distribution of the economic benefits to each party. The purpose of this paper is to explore the essential change…
Abstract
Purpose
The relationship between state and peasants are reflected as the distribution of the economic benefits to each party. The purpose of this paper is to explore the essential change of the relationship from the fiscal term since the beginning of the new century.
Design/methodology/approach
Utilizing first‐hand survey data, this paper illustrates the changes of relationship between state and peasants by certain qualitative and quantitative approaches.
Findings
Recent positive changes in China have seen the creation of a new public finance system designed to improve equality within basic public services not only for the world's largest population but also the world's largest number of peasants. This development has produced a change in the relationship between state and peasant from “take more” to “take less.”
Research limitations/implications
The sample size used in the empirical studies in this paper is relatively small. In addition, the studies focus only on the effects of relationships in the fiscal term while the social impacts are neglected.
Originality/value
This paper provides evidence that the recent positive changes in China have seen the building of a new public finance system, with the intention of enabling a huge number of peasants to experience equality within basic public services.
Details
Keywords
Xiujuan Chen, Shanbing Gao and Xue Zhang
In order to further advance the research of social bots, based on the latest research trends and in line with international research frontiers, it is necessary to understand the…
Abstract
Purpose
In order to further advance the research of social bots, based on the latest research trends and in line with international research frontiers, it is necessary to understand the global research situation in social bots.
Design/methodology/approach
Choosing Web of Science™ Core Collections as the data sources for searching social bots research literature, this paper visually analyzes the processed items and explores the overall research progress and trends of social bots from multiple perspectives of the characteristics of publication output, major academic communities and active research topics of social bots by the method of bibliometrics.
Findings
The findings offer insights into research trends pertaining to social bots and some of the gaps are also identified. It is recommended to further expand the research objects of social bots in the future, not only focus on Twitter platform and strengthen the research of social bot real-time detection methods and the discussion of the legal and ethical issues of social bots.
Originality/value
Most of the existing reviews are all for the detection methods and techniques of social bots. Unlike the above reviews, this study is a systematic literature review, through the method of quantitative analysis, comprehensively sort out the research output in social bots and shows the latest research trends in this area and suggests some research indirections that need to be focused in the future. The findings will provide references for subsequent scholars to research on social bots.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-06-2021-0336.
Details
Keywords
Binghai Zhou, Qi Yi, Xiujuan Li and Yutong Zhu
This paper aims to investigate a multi-objective electric vehicle’s (EV’s) synergetic scheduling problem in the automotive industry, where a synergetic delivery mechanism to…
Abstract
Purpose
This paper aims to investigate a multi-objective electric vehicle’s (EV’s) synergetic scheduling problem in the automotive industry, where a synergetic delivery mechanism to coordinate multiple EVs is proposed to fulfill part feeding tasks.
Design/methodology/approach
A chaotic reference-guided multi-objective evolutionary algorithm based on self-adaptive local search (CRMSL) is constructed to deal with the problem. The proposed CRMSL benefits from the combination of reference vectors guided evolutionary algorithm (RVEA) and chaotic search. A novel directional rank sorting procedure and a self-adaptive energy-efficient local search strategy are then incorporated into the framework of the CRMSL to obtain satisfactory computational performance.
Findings
The involvement of the chaotic search and self-adaptive energy-efficient local search strategy contributes to obtaining a stronger global and local search capability. The computational results demonstrate that the CRMSL achieves better performance than the other two well-known benchmark algorithms in terms of four performance metrics, which is inspiring for future researches on energy-efficient co-scheduling topics in manufacturing industries.
Originality/value
This research fully considers the cooperation and coordination of handling devices to reduce energy consumption, and an improved multi-objective evolutionary algorithm is creatively applied to solve the proposed engineering problem.
Details
Keywords
Siyang Gao, Bangcheng Zhang, Jianwei Sun and Wenrui Liu
The purpose of this paper is to design a biomimetic surface structure for use in a glass transport device to enhance the suspension lift of a glass transport unit.
Abstract
Purpose
The purpose of this paper is to design a biomimetic surface structure for use in a glass transport device to enhance the suspension lift of a glass transport unit.
Design/methodology/approach
This paper presents a surface structure of a suspended glass transport device based on the principle of bionics. First, a mapping model is constructed based on the wing structure. Second, the optimal structural parameters are given according to genetic algorithm optimization. Finally, the experimental comparison of the test bench verified the feasibility of the theory.
Findings
Through experimental comparison, the biomimetic suspension glass transport device saves 20% of air pressure compared with the ordinary suspended glass transport device, which verifies the effectiveness of the theoretical method.
Originality/value
This paper proposes a suspended glass transport device based on the principle of bionics, which saves the air pressure required for work. It is expected to be used in suspension glass transport devices.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-09-2019-0389/
Details
Keywords
Mengxi Yang, Wansi Chen, Qingyu Zhou, Baiyin Yang and Cheng Xu
China after 1949, especially since entering the 21st century, significant progress has been made in leadership research under Chinese context. However, so far there has been no…
Abstract
Purpose
China after 1949, especially since entering the 21st century, significant progress has been made in leadership research under Chinese context. However, so far there has been no systematic review and prospect of China's leadership research in the past 70 years. Therefore, with the help of scientific visualization software Citespace, this paper analyzes the research papers on leadership in the context of China from the top international journals of management science and applied psychology (1949–2018), supplemented and verified the previous research conclusions based on qualitative review, and quantitatively demonstrated the research evolution of leadership field.
Design Methodology Approach
Using a scientific visualization tool CiteSpace and 145 international leadership works, which were published in 64 top international journals and collected from the Web of Science database, and 852 domestic works which were published in 28 top domestic journals and collected from the CNKI database from 1949 to 2018, we draws keyword co-occurrence knowledge graph and keyword strategy map to visualize the landscape and evolution of leadership research and analyze the hot topics and research trends in the field of leadership.
Findings
The research found that: (1) Before 2002, there were only 7 articles published in 64 international top journal, mainly focusing on Western leadership theories such as transformational, cross-cultural comparison and the adaptability in Chinese context; (2) From 2003 to 2012, scholars had begun to introduce mainstream quantitative research paradigm in international academic community; (3) From 2013 to 2018, researches tended to be synchronized, with 461 and 99 papers published respectively. How emerging leaderships (such as ethical leadership) affect on various emerging outcome variables (such as creativity, voice behavior, unethical pro-organizational behavior etc.) is hot topic for future research.
Originality Value
Different from the previous qualitative reviews on organizational culture research, this paper, for the first time, uses bibliometric research methods to systematically analyze the evolution path of leadership research during the 70 years of China(1949–2018, and puts forward the future research prospects.