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Article
Publication date: 26 June 2021

Binbin Zhao, Yunlong Wang, Qingchao Sun, Yuanliang Zhang, Xiao Liang and Xuewei Liu

Assembly accuracy is the guarantee of mechanical product performance, and the characterization of the part with geometrical deviations is the basis of assembly accuracy analysis.

239

Abstract

Purpose

Assembly accuracy is the guarantee of mechanical product performance, and the characterization of the part with geometrical deviations is the basis of assembly accuracy analysis.

Design/methodology/approach

The existed small displacement torsors (SDT) model cannot fully describe the part with multiple mating surfaces, which increases the difficulty of accuracy analysis. This paper proposed an integrated characterization method for accuracy analysis. By analyzing the internal coupling relationship of the different geometrical deviations in a single part, the Monomer Model was established.

Findings

The effectiveness of the Monomer Model is verified through an analysis of a simulated rotor assembly analysis, and the corresponding accuracy analysis method based on the model reasonably predicts the assembly deviation of the rotor.

Originality/value

The Monomer Model realizes the reverse calculation of assembly deformation for the first time, which can be used to identify the weak links that affect the assembly accuracy, thus support the accuracy improvement in the re-assembly stage.

Details

Assembly Automation, vol. 41 no. 4
Type: Research Article
ISSN: 0144-5154

Keywords

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Article
Publication date: 30 December 2020

Sheng Xu, Qingde Yue and Binbin Lu

The implementation of the innovation-driven development strategy is of practical significance for improving the quality and efficiency of economic growth and accelerating the…

339

Abstract

Purpose

The implementation of the innovation-driven development strategy is of practical significance for improving the quality and efficiency of economic growth and accelerating the transformation of economic development mode. The purpose of this paper is to study the impact of innovation-driven strategies on marine industry agglomeration and industrial transformation.

Design/methodology/approach

In traditional grey correlation analysis, when the positive and negative areas cancel each other out during the integration process, the calculation result of the correlation degree is often inconsistent with the qualitative analysis. For this reason, from the perspective of curve similarity, this paper constructs two response curves through the relative change area of the two curves and the relative area change ratio of similar degree, thus constructing an improved grey relational model.

Findings

The authors find that the innovation investment has a better correlation with marine industrial agglomeration. It also found that Guangdong Province has the highest degree of correlation between innovation indicators and marine industrial agglomeration. Much beyond the authors’ expectation, in the areas where marine industrial agglomeration is high, the synergistic effect is not obvious by using the location entropy method.

Originality/value

The improved grey correlation analysis method can effectively overcome the phenomenon that the positive and negative areas cancel each other in the integration process of the original algorithm, and it can also effectively measure the negative correlation between variables. This paper explores the impact of innovation drive on the agglomeration of marine industries, which is of great significance to the sustainable development of marine economy.

Details

Grey Systems: Theory and Application, vol. 12 no. 1
Type: Research Article
ISSN: 2043-9377

Keywords

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Article
Publication date: 7 August 2018

Haibo Huang, Jinpeng Liu, Binbin Fan, Xing Chen, Aibing Yu and Xuedao Shu

The purpose of this paper is to investigate the wear resistance behavior of the striated tool for cross wedge rolling (CWR).

97

Abstract

Purpose

The purpose of this paper is to investigate the wear resistance behavior of the striated tool for cross wedge rolling (CWR).

Design/methodology/approach

A mechanical-thermal coupled, temperature-dependent FE wear model was developed to explore the wear behaviors for striated CWR tools. To verify the proposed FE model, a newly developed measuring device was also developed to measure wear on the tool ridge. To find the impact order of the parameters of striate unit, orthogonal experiment was carried out.

Findings

The experimental and numerical results both indicate that the wear resistance of striated tool is better than that of smooth tool. Minimum tool ridge wear can be achieved by choosing proper tool contact temperature with striated units on crossed ridge. The order of the striation geometrical factors’ impact on ridge wear is striation width > striation interval > striation length.

Research limitations/implications

Because of the specified tool, the research results may lack generalizability. Therefore, researchers are encouraged to test the proposed propositions further.

Originality/value

It is shown that the wear resistance of striated CWR tool is better than that of smooth tool. The information may help CWR manufactures to design and produce tools with less wear.

Details

Industrial Lubrication and Tribology, vol. 70 no. 6
Type: Research Article
ISSN: 0036-8792

Keywords

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Article
Publication date: 19 January 2021

BinBin Zhang, Fumin Zhang and Xinghua Qu

Laser-based measurement techniques offer various advantages over conventional measurement techniques, such as no-destructive, no-contact, fast and long measuring distance. In…

126

Abstract

Purpose

Laser-based measurement techniques offer various advantages over conventional measurement techniques, such as no-destructive, no-contact, fast and long measuring distance. In cooperative laser ranging systems, it’s crucial to extract center coordinates of retroreflectors to accomplish automatic measurement. To solve this problem, this paper aims to propose a novel method.

Design/methodology/approach

We propose a method using Mask RCNN (Region Convolutional Neural Network), with ResNet101 (Residual Network 101) and FPN (Feature Pyramid Network) as the backbone, to localize retroreflectors, realizing automatic recognition in different backgrounds. Compared with two other deep learning algorithms, experiments show that the recognition rate of Mask RCNN is better especially for small-scale targets. Based on this, an ellipse detection algorithm is introduced to obtain the ellipses of retroreflectors from recognized target areas. The center coordinates of retroreflectors in the camera coordinate system are obtained by using a mathematics method.

Findings

To verify the accuracy of this method, an experiment was carried out: the distance between two retroreflectors with a known distance of 1,000.109 mm was measured, with 2.596 mm root-mean-squar error, meeting the requirements of the coarse location of retroreflectors.

Research limitations/implications

The research limitations/implications are as follows: (i) As the data set only has 200 pictures, although we have used some data augmentation methods such as rotating, mirroring and cropping, there is still room for improvement in the generalization ability of detection. (ii) The ellipse detection algorithm needs to work in relatively dark conditions, as the retroreflector is made of stainless steel, which easily reflects light.

Originality/value

The originality/value of the article lies in being able to obtain center coordinates of multiple retroreflectors automatically even in a cluttered background; being able to recognize retroreflectors with different sizes, especially for small targets; meeting the recognition requirement of multiple targets in a large field of view and obtaining 3 D centers of targets by monocular model-based vision.

Details

Industrial Robot: the international journal of robotics research and application, vol. 48 no. 3
Type: Research Article
ISSN: 0143-991X

Keywords

Available. Open Access. Open Access
Article
Publication date: 22 February 2022

Solmaz Mansoori, Janne Harkonen and Harri Haapasalo

This study aims to facilitate consistency of information in building information modelling (BIM) and address the current BIM gaps through the perspectives of the productization…

2673

Abstract

Purpose

This study aims to facilitate consistency of information in building information modelling (BIM) and address the current BIM gaps through the perspectives of the productization concept and product structure (PS).

Design/methodology/approach

The study follows a conceptual research approach in conjunction with a single case study. First, the previous studies on BIM implementation, productization and PS are reviewed. Further, a case study is used to analyse the current state of productization in the construction sector and develop a functional PS for construction.

Findings

A Part-Phase-Elements Matrix is proposed as a construction-specific PS to facilitate consistency in information and to enhance BIM. The proposed matrix provides new avenues to facilitate consistent information exchange through the interconnection between conceptual PS and standard building objects library, and encourage collaborative communication between stakeholders.

Originality/value

This study explores the core of the productization concept and PS as means to facilitate consistency of information and thus address the current gaps in BIM. This as building projects progressively move towards systematic modular and prefabricated construction where the flow of reliable information about product and construction offerings becomes increasingly important.

Details

Engineering, Construction and Architectural Management, vol. 30 no. 5
Type: Research Article
ISSN: 0969-9988

Keywords

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Article
Publication date: 12 June 2024

Salah Kayed, Mohammad Alta’any, Rasmi Meqbel, Ibrahim N. Khatatbeh and Abdalkareem Mahafzah

This study aims to explore the effects of internal financial technology (FinTech) integration within Jordanian banks on their performance metrics, specifically focusing on…

783

Abstract

Purpose

This study aims to explore the effects of internal financial technology (FinTech) integration within Jordanian banks on their performance metrics, specifically focusing on profitability, risk-taking and stock returns.

Design/methodology/approach

Using panel data analysis, this study investigates the financial performance of 13 listed commercial banks in Jordan over a decade, from 2010 to 2019, to examine the hypothesized impacts of bank FinTech developments. In addition, several robustness tests addressing potential issues of endogeneity and autocorrelation are conducted to enhance the reliability of the results.

Findings

The results reveal that the bank FinTech development significantly enhances bank profitability and inversely affects risk-taking levels, indicating a substantial and positive impact on financial performance and stability. However, the results suggest no significant evidence of the effect of bank FinTech development on stock return.

Practical implications

The findings advocate for Jordanian commercial banks to continue and expand their investment in FinTech innovations, highlighting the crucial role these technologies play in enhancing financial performance and reducing bank risks. Additionally, these findings suggest that regulatory bodies and policymakers should develop and enhance institutional and regulatory environments to support and guide the FinTech evolution within the banking sector.

Originality/value

This study sheds light on the relatively under-researched area of internal bank FinTech. It provides critical insights into how FinTech integration within banks contributes to their profitability and stability, offering another perspective that enriches the FinTech literature. This contribution is essential for devising future strategies, developing theoretical frameworks and informing policy decisions in the FinTech domain.

Details

Journal of Financial Reporting and Accounting, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1985-2517

Keywords

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Article
Publication date: 13 September 2011

Binbin Xun, Fushuan Wen and Shulin Tong

The purpose of this paper is to investigate the gaming equilibrium among fossil‐fueled generation companies (GenCos), wind generation companies, the grid company and customers…

356

Abstract

Purpose

The purpose of this paper is to investigate the gaming equilibrium among fossil‐fueled generation companies (GenCos), wind generation companies, the grid company and customers participating in an emission trading (ET) market and the day‐ahead electricity market.

Design/methodology/approach

The complementarity method is used in this work to obtain the Nash equilibrium. By combining the Karush‐Kuhn‐Tucker (KKT) conditions of each kind of market participants with market clearing and consistency conditions, a mixed linear complementarity problem could be established.

Findings

Simulation results show that: the enforcement of ET could increase the share of generation outputs of wind generation units, and decrease the emissions from fossil‐fueled generation units; the bilateral contracts between GenCos and customers could limit the ability of exercising market power by GenCos; and when the emissions allowances allocated by the government shrink, the price of emissions allowance will increase and as the result the dispatching order of fossil‐fueled generation units will change, and the shares of generation outputs from wind generation units and combined‐cycle gas turbines increase. However, it should be mentioned that because the cost of wind generation is still very high, the increase of the share from wind generation units in the electricity market should mainly rely on cost reduction rather than the enforcement of ET.

Originality/value

The original contribution and the value of this study lie in developing a model framework to explore the gaming equilibrium that thermal and wind generating plants both play in the emissions trading environment and electricity market.

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Article
Publication date: 14 February 2019

Pushpendra Priyadarshi and Rajesh Premchandran

Navigating the labyrinthine connections between people, process, technology and infrastructure is a key skill for employees in agile organisations. Political skill is imperative…

836

Abstract

Purpose

Navigating the labyrinthine connections between people, process, technology and infrastructure is a key skill for employees in agile organisations. Political skill is imperative amongst millennials who in a continuously changing environment need to stretch their minds to accumulate and disseminate new knowledge and develop core competencies while responding to new business triggers. The purpose of this paper is to investigate a mediation model in which the effect of emotional intelligence (EI) and core self-evaluation (CSE) on knowledge-sharing intention is mediated by levels of political skill amongst millennials.

Design/methodology/approach

Hypotheses, on mediation, were tested with data collected from prospective employees graduating from a premier management institute in Northern India. Structural equation modelling was used to test hypotheses with bootstrapping to test mediation effects.

Findings

The findings demonstrate that the relationship between EI, CSE and knowledge-sharing intention is mediated by political skill. Theoretical and practical implications and directions for future research are followed.

Originality/value

This study contributes to the literature on knowledge sharing by providing a basis for understanding the mediating mechanism through which EI and CSE influence knowledge sharing. This is the first attempt examining the role of political skill as a mediator in the study of knowledge sharing, a critical lever for agile organisations to flourish. By investigating the underlying mechanisms through which individual differences impact knowledge-sharing behaviour, this study significantly supplements current research on knowledge management.

Details

VINE Journal of Information and Knowledge Management Systems, vol. 49 no. 1
Type: Research Article
ISSN: 2059-5891

Keywords

Available. Open Access. Open Access

Abstract

Details

Journal of Intelligent Manufacturing and Special Equipment, vol. 4 no. 1
Type: Research Article
ISSN: 2633-6596

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