Wenzhen Yang, Shuo Shan, Mengting Jin, Yu Liu, Yang Zhang and Dongya Li
This paper aims to realize an in-situ quality inspection system rapidly for new injection molding (IM) tasks via transfer learning (TL) approach and automation technology.
Abstract
Purpose
This paper aims to realize an in-situ quality inspection system rapidly for new injection molding (IM) tasks via transfer learning (TL) approach and automation technology.
Design/methodology/approach
The proposed in-situ quality inspection system consists of an injection machine, USB camera, programmable logic controller and personal computer, interconnected via OPC or USB communication interfaces. This configuration enables seamless automation of the IM process, real-time quality inspection and automated decision-making. In addition, a MobileNet-based deep learning (DL) model is proposed for quality inspection of injection parts, fine-tuned using the TL approach.
Findings
Using the TL approach, the MobileNet-based DL model demonstrates exceptional performance, achieving validation accuracy of 99.1% with the utilization of merely 50 images per category. Its detection speed and accuracy surpass those of DenseNet121-based, VGG16-based, ResNet50-based and Xception-based convolutional neural networks. Further evaluation using a random data set of 120 images, as assessed through the confusion matrix, attests to an accuracy rate of 96.67%.
Originality/value
The proposed MobileNet-based DL model achieves higher accuracy with less resource consumption using the TL approach. It is integrated with automation technologies to build the in-situ quality inspection system of injection parts, which improves the cost-efficiency by facilitating the acquisition and labeling of task-specific images, enabling automatic defect detection and decision-making online, thus holding profound significance for the IM industry and its pursuit of enhanced quality inspection measures.
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Wenzhen Yang, Johan K. Crone, Claus R. Lønkjær, Macarena Mendez Ribo, Shuo Shan, Flavia Dalia Frumosu, Dimitrios Papageorgiou, Yu Liu, Lazaros Nalpantidis and Yang Zhang
This study aims to present a vision-guided robotic system design for application in vat photopolymerization additive manufacturing (AM), enabling vat photopolymerization AM hybrid…
Abstract
Purpose
This study aims to present a vision-guided robotic system design for application in vat photopolymerization additive manufacturing (AM), enabling vat photopolymerization AM hybrid with injection molding process.
Design/methodology/approach
In the system, a robot equipped with a camera and a custom-made gripper as well as driven by a visual servoing (VS) controller is expected to perceive objective, handle variation, connect multi-process steps in soft tooling process and realize automation of vat photopolymerization AM. Meanwhile, the vat photopolymerization AM printer is customized in both hardware and software to interact with the robotic system.
Findings
By ArUco marker-based vision-guided robotic system, the printing platform can be manipulated in arbitrary initial position quickly and robustly, which constitutes the first step in exploring automation of vat photopolymerization AM hybrid with soft tooling process.
Originality/value
The vision-guided robotic system monitors and controls vat photopolymerization AM process, which has potential for vat photopolymerization AM hybrid with other mass production methods, for instance, injection molding.
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Yongyi Shou, Shuo Shan, Anlan Chen, Yang Cheng and Harry Boer
This study investigates the relationships between environmental performance feedback and green supply chain management (GSCM). It explores how environmental performance above or…
Abstract
Purpose
This study investigates the relationships between environmental performance feedback and green supply chain management (GSCM). It explores how environmental performance above or below aspirations affects the implementation of GSCM practices (specifically sustainable production [SP] and sustainable sourcing [SS]) through the lens of the behavioral theory of the firm (BTOF), which has received scant attention in the operations management literature.
Design/methodology/approach
The study used data from the sixth round of the International Manufacturing Strategy Survey (IMSS). It employed hierarchical linear regression to test the proposed hypotheses. Moreover, the study tested an alternate model to rule out the possible role of financial performance aspirations in explaining the implementation of SP and SS.
Findings
The results indicate that organizations determine their efforts put into the two GSCM practices according to environmental performance feedback: the greater the aspiration–environmental performance discrepancy, the stronger the efforts put into implementing GSCM practices.
Originality/value
This study contributes to the GSCM literature by revealing the impact of environmental performance aspirations on the implementation of GSCM practices through the lens of the BTOF. It also extends the BTOF by applying it in the GSCM context and indicating that performance feedback is based on environmental performance instead of financial performance in this specific context.
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Shuo Shan, Yongyi Shou, Mingu Kang and Youngwon Park
This study aims to investigate sustainable supply chain management (SSCM) through the lens of socio-technical system (STS) theory. Specifically, it examines the individual and…
Abstract
Purpose
This study aims to investigate sustainable supply chain management (SSCM) through the lens of socio-technical system (STS) theory. Specifically, it examines the individual and synergistic effects of social and technical integration on two main sustainability practices (i.e. sustainable production and sustainable sourcing). Supply chain uncertainty is further explored as a key environmental factor.
Design/methodology/approach
A moderated joint effects model was hypothesized. A sample of 759 manufacturing firms was used to test the proposed hypotheses by hierarchical linear regression.
Findings
The results show that both social and technical integration have positive effects on sustainable production and sustainable sourcing. Interestingly, social and technical integration have an enhancing synergistic effect on sustainable sourcing, which is further strengthened in high-uncertainty supply chains.
Originality/value
This study extends the application of STS theory in the SSCM setting. It enriches the sustainability literature by uncovering the impact of the interplay among the firm's social, technical and environmental systems on sustainable production and sourcing, and offers system-wide insights for sustainability management.
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The Communist revolution in China has led to the appearance in this country of increasing numbers of Chinese books in Russian translation. The Chinese names in Cyrillic…
Abstract
The Communist revolution in China has led to the appearance in this country of increasing numbers of Chinese books in Russian translation. The Chinese names in Cyrillic transcription have presented many librarians and students with a new problem, that of identifying the Cyrillic form of a name with the customary Wade‐Giles transcription. The average cataloguer, the first to meet the problem, has two obvious lines of action, and neither is satisfactory. He can save up the names until he has a chance to consult an expert in Chinese. Apart altogether from the delay, the expert, confronted with a few isolated names, might simply reply that he could do nothing without the Chinese characters, and it is only rarely that Soviet books supply them. Alternatively, he can transliterate the Cyrillic letters according to the system in use in his library and leave the matter there for fear of making bad worse. As long as the writers are not well known, he may feel only faintly uneasy; but the appearance of Chzhou Ėn‐lai (or Čžou En‐laj) upsets his equanimity. Obviously this must be entered under Chou; and we must have Mao Tse‐tung and not Mao Tsze‐dun, Ch'en Po‐ta and not Chėn' Bo‐da. But what happens when we have another . . . We can hardly write Ch'en unless we know how to represent the remaining elements in the name; yet we are loth to write Ch'en in one name and Chėn' in another.
Xinghua Shan, Xiaoyan Lv, Jinfei Wu, Shuo Zhao and Junfeng Zhang
Revenue management (RM) is a significant technique to improve revenue with limited resources. With the macro environment of dramatically increasing transit capacity and rapid…
Abstract
Purpose
Revenue management (RM) is a significant technique to improve revenue with limited resources. With the macro environment of dramatically increasing transit capacity and rapid railway transport development in China, it is necessary to involve the theory of RM into the operation and decision of railway passenger transport.
Design/methodology/approach
This paper proposes the theory and framework of generalized RM of railway passenger transport (RMRPT), and the thoughts and methods of the main techniques in RMRPT, involving demand forecasting, line planning, inventory control, pricing strategies and information systems, are all studied and elaborated. The involved methods and techniques provide a sequential process to help with the decision-making for each stage of RMRPT. The corresponding techniques are integrated into the information system to support practical businesses in railway passenger transport.
Findings
The combination of the whole techniques devotes to railway benefit improvement and transit resource utilization and has been applied into the practical operation and organization of railway passenger transport.
Originality/value
The development of RMRPT would provide theoretical and technical support for the improvement of service quality as well as railway benefits and efficiency.
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Yuting Rong, Shan Liu, Shuo Yan, Wei Wayne Huang and Yanxia Chen
Lenders in online peer-to-peer (P2P) lending platforms are always non-experts and face severe information asymmetry. This paper aims to achieve the goals of gaining high returns…
Abstract
Purpose
Lenders in online peer-to-peer (P2P) lending platforms are always non-experts and face severe information asymmetry. This paper aims to achieve the goals of gaining high returns with risk limitations or lowering risks with expected returns for P2P lenders.
Design/methodology/approach
This paper used data from a leading online P2P lending platform in America. First, the authors constructed a logistic regression-based credit scoring model and a linear regression-based profit scoring model to predict the default probabilities and profitability of loans. Second, based on the predictions of loan risk and loan return, the authors constructed linear programming model to form the optimal loan portfolio for lenders.
Findings
The research results show that compared to a logistic regression-based credit scoring method, the proposed new framework could make more returns for lenders with risks unchanged. Furthermore, compared to a linear regression-based profit scoring method, the proposed new framework could lower risks for lenders without lowering returns. In addition, comparisons with advanced machine learning techniques further validate its superiority.
Originality/value
Unlike previous studies that focus solely on predicting the default probability or profitability of loans, this study considers loan allocation in online P2P lending as an optimization research problem using a new framework based upon modern portfolio theory (MPT). This study may contribute theoretically to the extension of MPT in the specific context of online P2P lending and benefit lenders and platforms to develop more efficient investment tools.
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This paper is a study of the current trends and conditions of electronic resources for Chinese studies, based on a recent survey on the Internet of 29 Chinese libraries in North…
Abstract
This paper is a study of the current trends and conditions of electronic resources for Chinese studies, based on a recent survey on the Internet of 29 Chinese libraries in North America and eight Chinese libraries in China, Taiwan and Hong Kong. The survey discussed current electronic resources for Chinese studies, with a union list of major Chinese language databases currently used in libraries in Asia and the US. Current views on the use and development of electronic resources for Chinese studies were summarised.
Rila Anggraeni and Christin Susilowati
Many companies produce environmentally friendly goods and offer their products with varied attractive marketing mix strategies. One of the company's potential target markets is…
Abstract
Many companies produce environmentally friendly goods and offer their products with varied attractive marketing mix strategies. One of the company's potential target markets is millennials because the growing number of this community has become enormous. In terms of behavior, millennials have a high level of consumption compared to other generations. However, there are big questions about the willingness of millennials to consume green products. This study aims to acknowledge the green product buying behavior among millennials, especially premium green products. The variables expected to influence the millennial's willingness to pay premium include environmental concern, reference group, and pro-environmental attitude. Data collected through a survey of 250 respondents. The hypothesis framework was tested using PLS-SEM modeling to evaluate the measurement and structural models with the assistance of Warp PLS version 7.0. This study found that millennials who consider the importance of preserving the environment and have a reference group that solicitude to the environment will have a pro-environmental attitude and willing to buy the green product, even though it has a higher price. Green product's management can use the result to formulate an effective green marketing strategy to target the millennials. Regarding the need for millennials' environmental behavior clearer picture in a developing economy, the present study inflicts the literature by describing the antecedents of millennials' willingness to pay premium green products. The results also give practical implications by shedding light on millennials’ green behavior variables. It helps green entrepreneurs conceive their strategic marketing management, and thus can boost the green economy and economic growth.
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This research addresses the diverse characteristics of existing railway steel bridges in China, including variations in construction age, design standards, structural types…
Abstract
Purpose
This research addresses the diverse characteristics of existing railway steel bridges in China, including variations in construction age, design standards, structural types, manufacturing processes, materials and service conditions. It also focuses on prominent defects and challenges related to heavy transportation conditions, particularly low live haul reserves and severe fatigue problems.
Design/methodology/approach
The study encompasses three key aspects: (1) Adaptability assessment: It begins with assessing the suitability of existing railway steel bridges for heavy-haul operations through comprehensive analyses, experiments and engineering applications. (2) Strengthening: To combat frequent crack defects in the vertical stiffener end structure of girder webs, fatigue performance tests and reinforcement scheme experiments were conducted. These experiments included the development of a hot-spot stress S-N curve for this structure, validating the effectiveness of methods like crack stop holes, ultrasonic hammering and flange angle steel. (3) Service life extension: Research on the cruciform welded joint structure (non-fusion transfer type) focused on fatigue performance over the long life cycle. This led to the establishment of a fatigue S-N curve, enhancing Chinese design codes.
Findings
The research achieved several significant outcomes: (1) Successful implementation of strengthening and retrofitting measures on a 64-m single-span double-track railway steel truss girder on an existing heavy-duty line. (2) Post-reinforcement, a substantial 26% to 32% reduction in live haul stress on bridge members was achieved. (3) The strengthening and retrofitting efforts met design expectations, enabling the bridge to accommodate vehicles with a 30-ton axle haul on the railway line.
Originality/value
This research systematically tackles challenges and defects associated with Chinese existing railway steel bridges, providing valuable insights into adaptability assessment, strengthening techniques and service life extension methods. Furthermore, the development of fatigue S-N curves and the successful implementation of bridge enhancements have practical implications for improving the resilience and operational capacity of railway steel bridges in China.