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Article
Publication date: 7 February 2025

Xiaochen Yue, Mary Kang and Yanming Zhang

Manufacturing firms must strengthen their supply chain resilience to survive in turbulent business environments. This study explores how artificial intelligence (AI) can be…

73

Abstract

Purpose

Manufacturing firms must strengthen their supply chain resilience to survive in turbulent business environments. This study explores how artificial intelligence (AI) can be leveraged to enhance supply chain resilience.

Design/methodology/approach

Drawing on organizational information processing theory, the research investigates the impact of AI usage on proactive and reactive supply chain resilience by fostering referent power in the context of demand dynamism. The study analyzes survey data from 285 Chinese manufacturing firms using structural equation modeling and regression analysis.

Findings

The results indicate that AI usage can enhance both proactive and reactive supply chain resilience. Referent power only mediates the relationship between AI usage and reactive supply chain resilience. Furthermore, this mediating effect is stronger under high-level demand dynamism.

Originality/value

This study highlights the value of AI usage in strengthening supply chain resilience and uncovers its underlying mechanisms. Theoretical and practical implications are discussed.

Details

Journal of Manufacturing Technology Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1741-038X

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Article
Publication date: 10 May 2019

Yanming Zhang, Xiande Zhao and Baofeng Huo

Following resource-based view, the purpose of this paper is to investigate the effects of three intra-organizational structural elements on supply chain integration (SCI).

741

Abstract

Purpose

Following resource-based view, the purpose of this paper is to investigate the effects of three intra-organizational structural elements on supply chain integration (SCI).

Design/methodology/approach

Based on data collected from ten countries, this study employs the structural equation modeling method to test the proposed model.

Findings

The results demonstrate that teamwork culture is positively related to three dimensions of SCI. Organizational commitment has positive effects on internal and customer integration (CI), whereas it has no significant effect on supplier integration (SI). Human goodness is only positively related to internal integration, but has no significant effect on SI or CI.

Originality/value

This study contributes to both structural elements literature and SCI enabler literature by operationalizing three human-related components of structural elements and empirically investigating relationships between intra-organizational structural elements and SCI.

Details

Industrial Management & Data Systems, vol. 119 no. 5
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 15 July 2022

Yanming Zhang, Minhao Gu and Baofeng Huo

An agile supply chain (SC) is critical in achieving competitive advantages in the vulnerable environment. Based on the competence–capability–performance paradigm, this study aims…

795

Abstract

Purpose

An agile supply chain (SC) is critical in achieving competitive advantages in the vulnerable environment. Based on the competence–capability–performance paradigm, this study aims to investigate how information technology (IT) usage and employee multi-skilling influence internal, supplier and customer agility that are the three dimensions of SC agility. It further explores relationships between SC agility dimensions and SC performance.

Design/methodology/approach

This study used a survey method to collect primary data and sampled 216 Chinese manufacturing firms in different industries. Construct validity and reliability were confirmed. Structural equation modeling was used to test hypotheses.

Findings

The findings indicate that internal agility is the baseline of SC agility, which improves supplier and customer agility. IT usage is more important than employee multi-skilling in facilitating SC agility. The former improves all three dimensions, whereas the latter only improves internal agility. Both internal and supplier agility can improve SC performance, whereas customer agility has no significant effect.

Originality/value

This study contributes to the SC agility literature in two folds. On the one hand, based on the dynamic capability perspective, this research clarifies three dimensions of SC agility and their interrelationships. On the other hand, integrating competence–capability–performance paradigm with information processing view, this research investigates the antecedent and outcome of SC agility. In addition, to date, this is one of the first studies to simultaneously examine the effect of two critical competencies, namely, IT usage and employee multi-skilling on SC agility.

Details

Journal of Business & Industrial Marketing, vol. 38 no. 5
Type: Research Article
ISSN: 0885-8624

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Article
Publication date: 25 October 2022

Cengiz Bozada

Nanocrystalline LaB6, NdB6, Nd-doped LaB6 and La-doped NdB6 have been studied using the density functional theory (DFT) to study their electronic, optical and mechanical…

234

Abstract

Purpose

Nanocrystalline LaB6, NdB6, Nd-doped LaB6 and La-doped NdB6 have been studied using the density functional theory (DFT) to study their electronic, optical and mechanical characteristics. The purpose of this paper is to address this issue.

Design/methodology/approach

Nanocrystalline LaB6, NdB6, Nd-doped LaB6 and La-doped NdB6 have been studied using the DFT to study their electronic, optical and mechanical characteristics. The calculated lattice constants of LaB6, NdB6, Nd-doped LaB6 and La-doped NdB6 were 4.157, 4.118, 4.267 and 4.449, respectively. The lattice constant of La7Nd1B6 was increased when Nd is doped into LaB6. B p comprised the uppermost valence bands (VBs), whereas B s comprised the lowermost conduction bands (CBs). The authors’ results showed that La doping reduced the work function of NdB6 and increased its thermionic emission characteristics.

Findings

The authors’ results showed that La doping reduced the work function of NdB6 and increased its thermionic emission characteristics.

Originality/value

The work function of LaB6 was 2.7 eV, which is higher than that of La1Nd7B6 (2.64 eV).

Details

Multidiscipline Modeling in Materials and Structures, vol. 18 no. 6
Type: Research Article
ISSN: 1573-6105

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Article
Publication date: 7 August 2023

Jiayuan Yan, Xiaoliang Zhang and Yanming Wang

As a high-performance engineering plastic, polyimide (PI) is widely used in the aerospace, electronics and automotive industries. This paper aims to review the latest progress in…

306

Abstract

Purpose

As a high-performance engineering plastic, polyimide (PI) is widely used in the aerospace, electronics and automotive industries. This paper aims to review the latest progress in the tribological properties of PI-based composites, especially the effects of nanofiller selection, composite structure design and material modification on the tribological and mechanical properties of PI-matrix composites.

Design/methodology/approach

The preparation technology of PI and its composites is introduced and the effects of carbon nanotubes (CNTs), carbon fibers (CFs), graphene and its derivatives on the mechanical and tribological properties of PI-based composites are discussed. The effects of different nanofillers on tensile strength, tensile modulus, coefficient of friction and wear rate of PI-based composites are compared.

Findings

CNTs can serve as the strengthening and lubricating phase of PI, whereas CFs can significantly enhance the mechanical properties of the matrix. Two-dimensional graphene and its derivatives have a high modulus of elasticity and self-lubricating properties, making them ideal nanofillers to improve the lubrication performance of PI. In addition, copolymerization can improve the fracture toughness and impact resistance of PI, thereby enhancing its mechanical properties.

Originality/value

The mechanical and tribological properties of PI matrix composites vary depending on the nanofiller. Compared with nanofibers and nanoparticles, layered reinforcements can better improve the friction properties of PI composites. The synergistic effect of different composite fillers will become an important research system in the field of tribology in the future.

Details

Industrial Lubrication and Tribology, vol. 75 no. 8
Type: Research Article
ISSN: 0036-8792

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Article
Publication date: 5 February 2025

Xiaohong Gao, Yizheng Wang, Tianlong Wang, Feibo Li, Yanming Wang and Xiaoliang Zhang

The anti-friction and anti-wear properties of WS2@GO composites on paraffin liquid were investigated with a four-ball tribometer.

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Abstract

Purpose

The anti-friction and anti-wear properties of WS2@GO composites on paraffin liquid were investigated with a four-ball tribometer.

Design/methodology/approach

A series of graphene oxide (GO) nano hybrid composites decorated with tungsten disulfide (WS2) were prepared in-suit by hydrothermal strategy.

Findings

The results showed that compared to the virgin oil, friction coefficient and diameter of wear scare of lubricant oil containing W/G = 1:1 hybrid composite was reduced by 42.7% and 31.6%, respectively. At the microscopic, the excellent lubrication performance resulted from the tribo-chemical reaction on the sliding interface, which promotes the formation of tribo-film with a thickness of 8 nm. The carbonization compound, WO3 and Fe2O3 in the tribo-film results from the tribo-chemical reactions at the sliding interface, which can improve the stability and strength of tribo-film. Thereby the metal surface was further protected from friction and wear.

Originality/value

A series of WS2@GO composites were prepared in-suit by a hydrothermal strategy, and the tribo-film was analyzed by the transmission electron microscope and X-ray photoelectron spectrometer.

Peer review

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-10-2024-0397

Details

Industrial Lubrication and Tribology, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0036-8792

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Article
Publication date: 16 January 2025

Yanming Zhao, Jinhao Wu, Yongbo Zhu and Li’an Gu

This paper aims to reduce the impact of noise on the prediction accuracy of remaining useful life (RUL) for supercapacitor. First, Savitzky–Golay (SG) smoothing filter method …

12

Abstract

Purpose

This paper aims to reduce the impact of noise on the prediction accuracy of remaining useful life (RUL) for supercapacitor. First, Savitzky–Golay (SG) smoothing filter method (Savitzky and Golay, 1964) is used to eliminate the local small fluctuation and high-frequency noises that are generated by the capacity drop and rebound during the charging and discharging process of supercapacitor. Then, the variational mode decomposition (VMD) method is used to eliminate large fluctuation noises that are caused by internal temperature change of supercapacitor and chemical reaction of the supercapacitor. Its parameters are optimized by using marine predators algorithm (MPA), and the capacity sequence after denoising is reconstructed. Finally, long short term memory neural networks (LSTM) is used to predict the performance degradation law (PDL) and remaining useful life (RUL) of supercapacitor for the reconstructed sequence, then the comparative analysis is conducted with other methods, which results show this method improves the prediction accuracy effectively, and provides theoretical support for timely and accurately understanding the PDL and RUL of supercapacitor backup power supply.

Design/methodology/approach

First, SG smoothing filter method is used to eliminate the local small fluctuation and high-frequency noises that are generated by the capacity drop and rebound during the charging and discharging process of supercapacitor. Then, the VMD method is used to eliminate large fluctuation noises that are caused by internal temperature change of supercapacitor and chemical reaction of the supercapacitor. Its parameters are optimized by using MPA, and the capacity sequence after denoising is reconstructed. Finally, LSTM is used to predict the PDL and RUL of supercapacitor for the reconstructed sequence, then the comparative analysis is conducted with other methods, the results show that this method improves the prediction accuracy effectively, and provides theoretical support for timely and accurate understanding the PDL and RUL of supercapacitor backup power supply.

Findings

These factors will bring different types of noise during the service process of supercapacitor backup power supply, such as capacity regeneration, differences of charging and discharging rate, internal temperature change of supercapacitor, chemical reaction and external electromagnetic interference. Therefore, the paper proposes an LSTM prediction method of supercapacitor’s PDL and RUL based on composite denoising, which is divided into three stages: smoothing, noise reduction and prediction. First, SG smoothing filter method is used to eliminate the local small fluctuation and high-frequency noises, and MPA-VMD method is used to eliminate the nonlinear and nonstationary noises. Then, the capacity sequence after denoising is reconstructed, LSTM is used to predict PDL and RUL of supercapacitor. Finally, the comparative analysis with other methods is carried out. The results show that SG-VMD-LSTM method has higher prediction accuracy, which can accurately predict PDL and RUL of supercapacitor backup power supply, and improve the safety and reliability of wind turbine operation under the severe wind conditions.

Originality/value

The comparative analysis with other methods is carried out. The results show that SG-VMD-LSTM method has higher prediction accuracy, which can accurately predict PDL and RUL of supercapacitor backup power supply, and improve the safety and reliability of wind turbine operation under the severe wind conditions.

Details

Circuit World, vol. 51 no. 1
Type: Research Article
ISSN: 0305-6120

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Article
Publication date: 17 March 2022

Yanming Xia, Dejing Zhou, Zhiming Gao and Wenbin Hu

This paper aims to study the effect of Hg2+ on the corrosion behavior of Al–2%Zn coatings on AA5083 in 3.5 Wt.% NaCl solution.

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Abstract

Purpose

This paper aims to study the effect of Hg2+ on the corrosion behavior of Al–2%Zn coatings on AA5083 in 3.5 Wt.% NaCl solution.

Design/methodology/approach

Potentiodynamic polarization and electrochemical impedance spectroscopy are used to investigate the effect of Hg2+ on the corrosion behavior. The surface and cross-sectional morphology are characterized by scanning electron microscopy and energy dispersive spectroscopy (EDS) to further reveal the corrosion mechanism of Hg2+.

Findings

The results show that the corrosion behavior of the coating changes significantly as the concentration of Hg2+ increases from 5 to 30 μg/L. The corrosion production film can inhibit the corrosion process when Hg2+ concentration is in the range of 0.5–5 μg/L, while Hg2+ can promote the corrosion process significantly when its concentration reaches to 30 μg/L. The generation rate of dense oxide film on the coating surface is faster than dissolution rate when the concentration of Hg2+ is in the range of 0–5 μg/L, which makes the coating “self-healing” and thus slightly slows down the corrosion rate. The EDS analysis shows that excessive Hg2+ are preferentially deposited at locations with inhomogeneous electrochemical properties, which in turn accelerates corrosion.

Originality/value

The corrosion resistance of Al-based coatings is significantly affected by Hg2+ in seawater. Thus, it is important to explain the corrosion mechanism of Al–2%Zn coatings under the combined effect of Hg2+ and Cl in 3.5 Wt.% NaCl solution.

Details

Anti-Corrosion Methods and Materials, vol. 69 no. 3
Type: Research Article
ISSN: 0003-5599

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Article
Publication date: 21 January 2022

Shuai Han, Tongtong Sun, Yanming Sun and Xi Gao

The COVID-19 outbreak has been effectively controlled in China, but the resulting public psychological crisis is a latent, persistent and torturous disaster. This crisis affects…

155

Abstract

Purpose

The COVID-19 outbreak has been effectively controlled in China, but the resulting public psychological crisis is a latent, persistent and torturous disaster. This crisis affects not only the individual’s health but also social stability. This study aims to reveal the structure and situation of public psychological crisis during the remission period of the COVID-19 epidemic.

Design/methodology/approach

A questionnaire survey of the psychological crisis was conducted from February to May 2021. Data was collected from 1,056 respondents from different provinces in China.

Findings

The findings reveal the dangerous risks of public psychological crises. The specific results are as follows: first, a hierarchical state structure of psychological crisis is constructed and characterized as a significant gradient decline, namely, anxious state>panic state>depressive state>hostile state. Second, 43.939% of respondents reported an anxious state, 46.780% reported a panic state, 40.909% reported a depressive state, 28.883% reported a hostile state and 22.254% of the respondents had four psychological crisis states. Third, those with 56–65 years of age, equal or below high school and PhD, with monthly family incomes of ¥50,000–¥100,000 and living in the county and city areas have relatively high levels of psychological crisis.

Originality/value

This study enriches the research on the evolution of the psychological crisis in terms of structure and periods. This study also provides substantial evidence for hierarchical intervention and differentiated intervention of psychological crisis.

Details

Chinese Management Studies, vol. 17 no. 1
Type: Research Article
ISSN: 1750-614X

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Article
Publication date: 24 April 2024

Dejing Zhou, Yanming Xia, Zhiming Gao and Wenbin Hu

This study aims to investigate the influence mechanism of brazing and aging on the strengthening and corrosion behavior of novel multilayer sheets (AA4045/AA7072/AA3003M/AA4045).

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Abstract

Purpose

This study aims to investigate the influence mechanism of brazing and aging on the strengthening and corrosion behavior of novel multilayer sheets (AA4045/AA7072/AA3003M/AA4045).

Design/methodology/approach

Polarization curve tests, immersion experiments and transmission electron microscopy analysis were used to study the corrosion behavior and tensile properties of the sheets before and after brazing and aging.

Findings

The strength of the sheet is weakened after brazing due to brittle eutectic phases, and recovered after aging due to enhanced precipitation strengthening in the AA7072 interlayer. The core of nonbrazed sheets cannot be protected due to the significant galvanic coupling effect between the intermetallic particles and the substrate. Brazing and aging treatments promote the redissolved of second phased and limit corrosion along the eutectic region in the clad, allowing the core to be protected.

Originality/value

AA7xxx alloy was added to conventional brazed sheets to form a novel Al alloy composite sheet with AA4xxx/AA7xxx/AA3xxx structure. The strengthening and corrosion mechanism of the sheet was proposed. The added interlayer can sacrificially protect the core from corrosion and improves strength after aging treatment.

Details

Anti-Corrosion Methods and Materials, vol. 71 no. 4
Type: Research Article
ISSN: 0003-5599

Keywords

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