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Article
Publication date: 15 December 2017

Hui Jiang, Jianjun Yi, Xiaomin Zhu and Zhao Li

This paper aims to develop methods for generating disassembly tasks for selective disassembly. The disassembly task contains the disassembly information, namely, disassembly…

484

Abstract

Purpose

This paper aims to develop methods for generating disassembly tasks for selective disassembly. The disassembly task contains the disassembly information, namely, disassembly direction, disassembly tool and selective disassembly sequence.

Design/methodology/approach

Ontology is adopted to represent the product, and ontology rules are used to represent the disassembly knowledge. A product ontology model (POM) is introduced on the basis of material, connection matrix and interference matrix. Two types of disassembly knowledge are taken into account, one is the disassembly knowledge of disassembly tool selection and the other is the disassembly knowledge of special connections. Based on the POM and the disassembly knowledge, decision support methods are designed to generate disassembly tasks.

Findings

A centrifugal pump is used to demonstrate the proposed methods, and the result shows that the methods work well.

Research limitations/implications

The methods developed in this study are fundamental approaches. The ontology and the ontology rules can be extended with more disassembly knowledge.

Originality/value

The main contribution of this research is the development of methods for representing disassembly knowledge based on ontology rules and the decision support methods for generating disassembly tasks.

Details

Assembly Automation, vol. 38 no. 2
Type: Research Article
ISSN: 0144-5154

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Article
Publication date: 2 June 2022

Yang Yi, Jianjun Zhu and Huagang Tong

This study constructs a three-stage evaluation model for interdisciplinary organizations to solve their ranking problems effectively.

224

Abstract

Purpose

This study constructs a three-stage evaluation model for interdisciplinary organizations to solve their ranking problems effectively.

Design/methodology/approach

A three-stage interdisciplinary organization evaluation model abounds the key problems of “who will evaluate the projects?” and “how to evaluate the projects?”. In the first stage, the authors build a consensus maximization model to identify the selected experts based on the interval grey number because of the uncertainty in assessment. In the second stage, considering the reliability of the experts, the authors calculate the reliability of the experts based on historical data. Meanwhile, considering the gradual changes of the experts, the dynamic weighting method is obtained based on the clustering method. In the third stage, considering decision-makers regret psychological behavior, the authors construct a cross-organizational performance evaluation model based on consensus expectations.

Findings

First, for selecting the experts responsible for assessing interdisciplinary organizations, the consensus-reaching method can effectively avoid cognitive bias. Second, during the assessment, the authors obtained more reasonable results by considering the psychological changes of experts based on regret theory. Third, based on the results, the cross-organization of colleges focused on the achievements of talent training, cross effects, and system construction.

Practical implications

Our study could help organizations establish a suitable assessment mechanism and promote interdisciplinary development.

Originality/value

First, considering the importance of selecting the experts, the authors use the consensus-reaching process for expert selection. This method could guarantee most experts' preferences. Then, the authors propose a two-stage dynamic weighting method, including a pre-determined and adjusted process. The dynamic method can better perform the preferences of experts. Third, the authors studied the assessment in interdiscipline. In addition, based on the framework and considering the features of the interdiscipline, the authors use the grey number to perform the uncertain preferences of the experts using regret theory.

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Article
Publication date: 11 June 2021

Ansheng Zhang, Mingyu Zhang, Jing Wang, Jianjun Zhang, Zhaohua Shang, Yi Liu and Longjie Dai

The purpose of this paper is to study the influence of surface precision on the lubrication state of the roller chain under adequate and rare oil supply conditions, respectively.

114

Abstract

Purpose

The purpose of this paper is to study the influence of surface precision on the lubrication state of the roller chain under adequate and rare oil supply conditions, respectively.

Design/methodology/approach

The straightness error and roughness error of the pin generatrices were measured and the influence of surface precision on the lubrication behavior under steady state and reciprocating motion was studied through optical interference experiments.

Findings

The lubrication state is strongly influenced by the surface precision of the roller surface both under adequate oil supply and rare oil supply conditions.

Originality/value

In industrial applications, the machining errors of parts cannot be completely eliminated. Studying the influence of the surface precision on the lubrication behavior of pin–bush pairs can provide the experimental basis for the optimal design of the bush roller chains.

Details

Industrial Lubrication and Tribology, vol. 73 no. 5
Type: Research Article
ISSN: 0036-8792

Keywords

Available. Open Access. Open Access
Article
Publication date: 11 April 2023

Wenhao Yi, Mingnian Wang, Jianjun Tong, Siguang Zhao, Jiawang Li, Dengbin Gui and Xiao Zhang

The purpose of the study is to quickly identify significant heterogeneity of surrounding rock of tunnel face that generally occurs during the construction of large-section rock…

334

Abstract

Purpose

The purpose of the study is to quickly identify significant heterogeneity of surrounding rock of tunnel face that generally occurs during the construction of large-section rock tunnels of high-speed railways.

Design/methodology/approach

Relying on the support vector machine (SVM)-based classification model, the nominal classification of blastholes and nominal zoning and classification terms were used to demonstrate the heterogeneity identification method for the surrounding rock of tunnel face, and the identification calculation was carried out for the five test tunnels. Then, the suggestions for local optimization of the support structures of large-section rock tunnels were put forward.

Findings

The results show that compared with the two classification models based on neural networks, the SVM-based classification model has a higher classification accuracy when the sample size is small, and the average accuracy can reach 87.9%. After the samples are replaced, the SVM-based classification model can still reach the same accuracy, whose generalization ability is stronger.

Originality/value

By applying the identification method described in this paper, the significant heterogeneity characteristics of the surrounding rock in the process of two times of blasting were identified, and the identification results are basically consistent with the actual situation of the tunnel face at the end of blasting, and can provide a basis for local optimization of support parameters.

Details

Railway Sciences, vol. 2 no. 1
Type: Research Article
ISSN: 2755-0907

Keywords

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Article
Publication date: 17 October 2017

Hao Li, Shuai Zhang, Zhiran Yi, Jie Li, Aihua Sun, Jianjun Guo and Gaojie Xu

This work aims to evaluate the influence of rheological properties of building materials on the bonding quality and ultimate tensile strength in the fused deposition modeling…

1047

Abstract

Purpose

This work aims to evaluate the influence of rheological properties of building materials on the bonding quality and ultimate tensile strength in the fused deposition modeling (FDM) process, through the investigation of parts printed by semi-crystalline and amorphous resins. Little information is currently available about the influence of the crystalline nature on FDM-printed part quality.

Design/methodology/approach

Semi-crystalline polyamide 12 and amorphous acrylonitrile butadiene styrene (ABS) were used to assess the influence of rheological properties on bonding quality and the tensile strength, by varying three important process parameters: materials, liquefier temperature and raster orientation. A fractography of both tensile and freeze-fractured samples was also investigated.

Findings

The rheological properties, mainly the melt viscosity, were found to have a significant influence on the bonding quality of fused filaments. Better bonding quality and higher tensile strength of FDM parts printed with semi-crystalline PA12, as compared with amorphous ABS, are suggested to be a result of higher initial sintering rates owing to the lower melt viscosity of PA12 at low shear rates. Near-full dense PA12 parts were obtained by FDM.

Originality/value

This project provides a variety of data and insight regarding the effect of materials properties on the mechanical performance of FDM-printed parts. The results showed that FDM technique allows the production of PA12 parts with adequate mechanical performance, overcoming the greatest limitation of a dependence on amorphous thermoplastics as a feedstock for the production of prototypes.

Details

Rapid Prototyping Journal, vol. 23 no. 6
Type: Research Article
ISSN: 1355-2546

Keywords

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Article
Publication date: 10 January 2025

Jianjun Yang, Lei Gu, Kangxin Liu and Cheng Deng

Implementing green innovation is crucial for firms to build or sustain competitive advantages within the context of the sustainable development goals. Academic research has…

42

Abstract

Purpose

Implementing green innovation is crucial for firms to build or sustain competitive advantages within the context of the sustainable development goals. Academic research has broadly explored how firms can induce green innovation behavior (GIB), examining external factors, but few studies in the current literature have deeply investigated unabsorbed slack as an internal antecedent of GIB. Drawing upon the behavioral theory of the firm and integrating it with dynamic capabilities theory, this study aims to address this deficiency by investigating the impact of unabsorbed slack on GIB and the mediating roles of two dimensions of capability reconfiguration: capability evolution and capability substitution in the relationship between unabsorbed slack and GIB. Furthermore, this study also discusses the moderating effects of consumer green pressure on the relationship between unabsorbed slack and capability evolution/substitution.

Design/methodology/approach

Survey data were collected from 286 Chinese technology-intensive manufacturing firms to empirically test the relationships among the variables.

Findings

The results reveal that unabsorbed slack has a positive influence on GIB. Furthermore, capability evolution and substitution both play mediating roles in the relationship between unabsorbed slack and GIB. Comparative analysis showed that the mediating effect of capability substitution is stronger than that of capability evolution. Moreover, consumer green pressure strengthens the positive relationship between unabsorbed slack and capability evolution/substitution.

Originality/value

This study enriches the research on the driving forces of GIB and contributes to providing managerial implications for firms to launch green innovation activities.

Details

Journal of Business & Industrial Marketing, vol. 40 no. 2
Type: Research Article
ISSN: 0885-8624

Keywords

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Article
Publication date: 13 February 2017

Jianjun Sun, Dongfang Sheng, Dongxiao Gu, Jia Tina Du and Chao Min

The purpose of this paper is to investigate the continued use behavior (CU) of link sharing tools based on uses and gratifications theory, the theory of planned behavior and…

1547

Abstract

Purpose

The purpose of this paper is to investigate the continued use behavior (CU) of link sharing tools based on uses and gratifications theory, the theory of planned behavior and expectation confirmation theory. It then builds a conceptual model that is empirically tested.

Design/methodology/approach

Data were collected from 343 students (undergraduates, masters, PhD students, and MBAs) from three Chinese universities via a two-phrase survey. The tools SPSS 18.0 and AMOS 18.0 were used to analyse the reliability, validity, model fits and SEM, respectively.

Findings

The results indicate that an individual’s CU of link sharing tools was determined by his or her continued use intention directly and subjective norm indirectly. Users’ satisfaction on link sharing tools was the main factor affecting the continuance intention. Individuals’ motivation needs such as cognitive needs, personal integrative needs, and social integrative needs were found to be the significant predictors of his or her satisfaction. Besides, people with high privacy concern tended to have less satisfaction with link sharing tools.

Originality/value

This study explores users’ CU of link sharing tools in social media for the first time. The theoretical model developed shows the predictors behind people’s CU.

Details

Online Information Review, vol. 41 no. 1
Type: Research Article
ISSN: 1468-4527

Keywords

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Article
Publication date: 7 September 2020

Ruijia Liu, Jianjun Yang and Feng Zhang

Prior studies have demonstrated the important role of coopetition in firms’ innovation. Based on the paradox perspective, this study aims to focus on technology transfer, the…

807

Abstract

Purpose

Prior studies have demonstrated the important role of coopetition in firms’ innovation. Based on the paradox perspective, this study aims to focus on technology transfer, the pre-innovation stage, to provide a supplementary understanding of the complementarity and contradictoriness of paradoxical coopetition, with the formal and informal governance mechanisms which are suitable with this understanding in coopetition.

Design/methodology/approach

This study conducted an original, multisource survey of 280 Chinese manufacturing firms. Hypotheses were tested through multiple regressions.

Findings

Coopetition has a positive impact on technology transfer between firms. Along with the increasing specificity of assets invested ex ante as a kind of formal governance mechanism, the relationship between coopetition and technology transfer becomes stronger. Meanwhile, inter-firm justice as an informal governance mechanism in the technology transfer process can be positively affected by coopetition between partners.

Originality/value

The study adds to the business-to-business coopetition literature on how to properly treat and use coopetition in technology transfer. Using the paradox perspective in the Chinese context, the findings emphasize the positive role of coopetition in the inter-firm technological exchange process, enriching the understanding of the complementary and contradictory features of paradoxical coopetition. To govern coopetitive relationships, the firms should also implement two fundamental governance mechanisms, that is, specialty asset and inter-firm justice.

Details

Journal of Business & Industrial Marketing, vol. 36 no. 5
Type: Research Article
ISSN: 0885-8624

Keywords

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Article
Publication date: 13 September 2024

Jiawei Xu, Baofeng Zhang, Jianjun Lu, Yubing Yu, Haidong Chen and Jie Zhou

The importance of the agri-food supply chain in both food production and distribution has made the issue of its development a critical concern. Based on configuration theory and…

133

Abstract

Purpose

The importance of the agri-food supply chain in both food production and distribution has made the issue of its development a critical concern. Based on configuration theory and congruence theory, this research investigates the complex impact of supply chain concentration on financial growth in agri-food supply chains.

Design/methodology/approach

The cluster analysis and response surface methodology are employed to analyse the data collected from 207 Chinese agri-food companies from 2010 to 2022.

Findings

The results indicate that different combination patterns of supply chain concentration can lead to different levels of financial growth. We discover that congruent supplier and customer concentration is beneficial for companies’ financial growth. This impact is more pronounced when the company is in the agricultural production stage of agri-food supply chains. Post-hoc analysis indicates that there exists an inverted U-shaped relationship between the overall levels of supply chain concentration and financial growth.

Practical implications

Our research uncovers the complex interplay between supply chain base and financial outcomes, thereby revealing significant ramifications for agri-food supply chain managers to optimise their strategies for exceptional financial growth.

Originality/value

This study proposes a combined approach of cluster analysis and response surface analysis for analysing configuration issues in supply chain management.

Details

International Journal of Physical Distribution & Logistics Management, vol. 54 no. 9
Type: Research Article
ISSN: 0960-0035

Keywords

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Article
Publication date: 9 January 2017

Aung Tun Oo, Guido Van Huylenbroeck and Stijn Speelman

Climate change negatively affects agricultural crop production in the dry zone region of Myanmar. This paper aims to examine climate change adaptation strategies of farmers in the…

625

Abstract

Purpose

Climate change negatively affects agricultural crop production in the dry zone region of Myanmar. This paper aims to examine climate change adaptation strategies of farmers in the dry zone region. Farmers’ choice for adaptation strategies is influenced by many factors such as the practical availability and by socioeconomic conditions of the farmers. They are moreover influenced by the perception about climate change and by the specific problems prevailing in the farming systems.

Design/methodology/approach

This research is carried out in Magwe district in the dry zone region of Myanmar using a random selection of 212 farmers from three Townships (Magwe, Yenanchaung and Chauk). A multinomial logistic regression (MLR) was applied to assess the factors affecting the choice by farmers for adaptation strategies.

Findings

The study found that in the past, farmers used to apply locally available indigenous climate change adaptation strategies. However, recently, most farmers seem to have shifted to introduced adaptation strategies. The most popular adaptation strategy is to adjust the planting dates and sowing method (56.1 per cent). Furthermore, farmers identified a number of barriers that limit the adoption of adaptation methods. Risk is found to be an important driver of crop diversification. Finally, the MLR model showed that information from radio, access to seeds and extension services affect the choice of adaptation strategies.

Originality/value

The study shows that adoption of locally available indigenous climate change adaptation methods is gradually decreasing, and there is a shift to introduced adaptation strategies. The study can assist public and private organizations to obtain insight in the determinants of climate change adaptation in the dry zone region of Myanmar.

Details

International Journal of Climate Change Strategies and Management, vol. 9 no. 1
Type: Research Article
ISSN: 1756-8692

Keywords

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