The purpose of this study is to introduce a dedicated simulator to automatically generate and simulate a balanced apparel assembly line, which is critical to the digital twin…
Abstract
Purpose
The purpose of this study is to introduce a dedicated simulator to automatically generate and simulate a balanced apparel assembly line, which is critical to the digital twin concept in apparel manufacturing. Given the low automation level in apparel manufacturing, this is a first step toward the implementation of a smart factory based on cyber-physical systems.
Design/methodology/approach
The mixed task assignment algorithm was implemented to automatically generate a module-based apparel assembly line in the developed simulator. To validate the developed simulator, a case study was conducted using process analysis data of technical jackets obtained from an apparel manufacturer. The case study included three scenarios: calculating the number of workers, selecting orders based on factory capacity and managing unexpected worker absences.
Findings
The developed simulator is approximately 97.2% accurate in assigning appropriate tasks to workstations using the mixed task assignment algorithm. The simulator was also found to be effective in supporting decision-making for production planning, order selection and apparel assembly line management. In addition, the module-based line generation algorithm made it easy to modify the assembly line.
Originality/value
This study contributes a novel approach to address the challenge of low automation levels in apparel manufacturing by introducing a dedicated simulator. This dedicated simulator improves the efficiency of virtual apparel assembly line generation and simulation, which distinguishes it from existing commercial simulation software.
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The purpose of this paper is to develop a versatile and extensible three-dimensional (3D) body measurement system.
Abstract
Purpose
The purpose of this paper is to develop a versatile and extensible three-dimensional (3D) body measurement system.
Design/methodology/approach
An integrated development environment and a script language compiler were designed for easy definition of measurement process.
Findings
Researchers can do every kind of anthropometric research with respect to gender, age or race simply by writing appropriate scripts.
Research limitations/implications
System does not support the management of 3D data itself. The possible flaws of data should be removed by other hardware specific software.
Practical implications
Researchers without comprehensive knowledge of computer programming can conduct complex anthropometric research by simply learning the concise script language.
Social implications
This system will facilitate many anthropometric research works and will help to provide valuable information to many industries.
Originality/value
This is the first script language based body data analysis system. The script language consists of about 60 simple commands. Researchers will be able to concentrate more on the research topic itself than on the painstaking computer programming.
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Nida Shamim, Suraksha Gupta and Matthew Minsuk Shin
The purpose of this paper is to explore user engagement (UE) within the Metaverse (MV) environment, emphasising the crucial role of immersive experiences (IEs). This study aims to…
Abstract
Purpose
The purpose of this paper is to explore user engagement (UE) within the Metaverse (MV) environment, emphasising the crucial role of immersive experiences (IEs). This study aims to understand how IEs influence UE and the mediating effects of hedonic value (HV) and utilitarian value (UV) on this relationship. Additionally, the authors examine the moderating impacts of user perceptions (UPs) such as headset comfort, simulation sickness, prior knowledge and ease of use on the utilisation of the MV. This study seeks to elucidate the dynamics of virtual travel at a pre-experience stage, enhancing the comprehension of how digital platforms can revolutionise UE in travel and tourism.
Design/methodology/approach
This study used a triangulation methodology to provide a thorough investigation into the factors influencing UE in the MV. A systematic literature review (SLR) was conducted to frame the research context and identify relevant variables. To gather empirical data, 25 interviews were performed with active MV users, supplemented by a survey distributed to 118 participants. The data collected was analysed using structural equation modelling (SEM) to test the hypothesised relationships between IEs, UPs, HV and UV and their combined effect on UE within the MV.
Findings
The findings from the SEM indicate that engaging in the MV leads to a positive IE, which significantly enhances UE. Additionally, it was discovered that HV and UV play a mediating role in strengthening the link between IEs and UE. Furthermore, UPs, including headset comfort, simulation sickness, prior knowledge and ease of use, are significant moderators in the relationship between IEs and MV usage. These insights provide a nuanced understanding of the variables that contribute to and enhance UE in virtual environments.
Originality/value
This research contributes original insights into the burgeoning field of digital tourism by focusing on the MV, a rapidly evolving platform. It addresses the gap in the existing literature by delineating the complex interplay between IEs, UPs and value constructs within the MV. By using a mixed-method approach and advanced statistical analysis, this study provides a comprehensive model of UE specific to virtual travel platforms. The findings are particularly valuable for developers and marketers in the hospitality and tourism sectors seeking to capitalise on digital transformation and enhance UE through immersive technologies.
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M. Minsuk Shin, Jiwon Lee and June-ho Chung
Although existing studies demonstrate positive relationships between ethical cultures and innovativeness, their explanations of why an ethical culture leads to innovativeness are…
Abstract
Purpose
Although existing studies demonstrate positive relationships between ethical cultures and innovativeness, their explanations of why an ethical culture leads to innovativeness are limited. This study explores the relationship between ethical organizational culture and knowledge workers' innovativeness
Design/methodology/approach
Based on Kierkegaardian existential philosophy, this study proposes a research model that employs knowledge workers' existential affirmation as the link between ethical culture and innovativeness. The main hypothesis proposed in this study is that ethical organizational culture offers knowledge workers the opportunity to find their existential affirmation, which leads them to become more innovative. A structural equation modeling analysis is based on data collected from a survey of 348 knowledge workers from small and medium-sized enterprises (SMEs) in different hi-tech industries.
Findings
The findings suggest that among the four subdimensions of an ethical organizational culture, ethics training and awareness raising had the strongest relationships with knowledge workers' existential affirmation, which, in turn, had a significant relationship with their innovativeness.
Originality/value
Based on this philosophical reflection, this study develops a research model that examines knowledge workers' existential affirmation as the factor that links ethical organizational culture and knowledge workers' innovativeness. The authors test ethical organizational culture as an environment that allows knowledge workers to validate their existential affirmation. Further, they test the link between knowledge workers' existential affirmation and their innovativeness.
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Risk parity, also known as equal risk contribution, has recently gained increasing attention as a portfolio allocation method. However, solving portfolio weights must resort to…
Abstract
Risk parity, also known as equal risk contribution, has recently gained increasing attention as a portfolio allocation method. However, solving portfolio weights must resort to numerical methods as the analytic solution is not available. This study improves two existing iterative methods: the cyclical coordinate descent (CCD) and Newton methods. The authors enhance the CCD method by simplifying the formulation using a correlation matrix and imposing an additional rescaling step. The authors also suggest an improved initial guess inspired by the CCD method for the Newton method. Numerical experiments show that the improved CCD method performs the best and is approximately three times faster than the original CCD method, saving more than 40% of the iterations.