Optimizing Storage Location Assignment (SLA) is essential for improving warehouse operations, reducing operational costs, travel distances and picking times. The effectiveness of the optimization process should be evaluated. This study introduces a novel, generalized objective function tailored to optimize SLA through integration with a Genetic Algorithm. The method incorporates key parameters such as item order frequency, storage grouping, and proximity of items frequently ordered together. Using simulation tools, this research models a picker-to-part system in a warehouse environment characterized by complex storage constraints, varying item demands and family-grouping criteria. The study explores four scenarios with distinct parameter weightings to analyze their impact on SLA. Contrary to other research that focuses on frequency-based assignment, this article presents a novel framework for designing SLA using key parameters. The study proves that it is advantageous to deviate from a frequency-based assignment, as considering other key parameters to determine the layout can lead to more favorable operations. The findings reveal that adjusting the parameter weightings enables effective SLA customization based on warehouse operational characteristics. Scenario-based analyses demonstrated significant reductions in travel distances during order picking tasks, particularly in scenarios prioritizing ordered-together proximity and group storage. Visual layouts and picking route evaluations highlighted the benefits of balancing frequency-based arrangements with grouping strategies. The study validates the utility of a tailored generalized objective function for SLA optimization. Scenario-based evaluations underscore the importance of fine-tuning SLA strategies to align with specific operational demands, paving the way for more efficient order picking and overall warehouse management.
The emerging growth digital application has driven ecosystems integrating digital banks and e-commerce platforms, enabling seamless, efficient transactions. This study examines the impact of user experience and satisfaction on reuse intention in this integrated environment. Using a mixed-method approach, data were collected through surveys of 471 respondents and interviews with 30 participants. Quantitative data were analyzed using structural equation modeling, while qualitative data were processed through content analysis. Results show that perceived ease of use, usefulness, reliability, value, and risk significantly affect user experience, while perceived security does not. These findings aim to help digital banks and e-commerce platforms design effective CRM strategies to enhance satisfaction and reuse intention.
Mr. Tao Xingzhi said: game is a way for children to understand the world, is one of the means of education to children. Game is the basic activity of kindergarten, for children, game is "play", "play" is the pronoun of the game, "play" can make children happy, meet their needs, development, children are living in play, learning in play, growing up in play. Outdoor autonomous game activities are an indispensable part of the kindergarten curriculum system. This paper starts from "combing - self-analysis, facing the problem; Action -- planning and enriching the region; In terms of research -- organization, implementation and continuous adjustment, this paper expounds the experience of using the existing resources of Jinma Kindergarten to reform and attempt children's outdoor autonomous games in the course of curriculum gamification construction.
This research investigates the relationship between the quality of airline services, customer satisfaction, and brand loyalty with low-cost airlines in Bangkok’s aviation business. It uses structural equation modeling (SEM) to examine the replies of 521 passengers. The study demonstrates a robust and favorable correlation between the quality of service and customer satisfaction, with a direct impact coefficient of 0.961. Furthermore, service quality directly (0.708) and indirectly (0.284) impact brand loyalty. These impacts are mediated by customer satisfaction, which directly affects brand loyalty with a correlation of 0.296. The model explains 92.3% and 99.0% of the variation in customer satisfaction and brand loyalty, respectively, suggesting a robust and reliable match. The demographic study reveals that the predominant group of participants consists of well-educated, middle-income women who regularly use airline services. These results highlight the importance of service quality in improving customer satisfaction and promoting brand loyalty among travelers. Airlines should emphasize the ongoing enhancement of service quality and customer satisfaction to sustain their competitive edge. This research enhances the existing body of knowledge by emphasizing the intermediate function of customer satisfaction and presenting detailed observations relevant to Bangkok’s aviation industry, providing guidance for infrastructural development and investment. It also offers practical suggestions for managing service quality and implementing customer retention strategies.
Virtual environments like the Metaverse have been gaining popularity in recent years. Live streaming has gained popularity as a favorite way to entertain among social network users, thanks to its real-time authenticity. This study will utilize the Extended Unified Theory of Acceptability and Use of Technology (UTAUT2) to examine the factors influencing the adoption of live streaming in the Metaverse, a new platform with greater immersion, among citizens in Vietnam. The research used a quantitative approach, collected data from a sample of participants through a structured questionnaire including Performance Expectancy (PEE), Effort Expectancy (EEF), Social Influence (SCI), Hedonic Motivation (HEM), and Experience (EXP). Additionally, technological Self-Efficacy (TSE) as an extended alternative is thought to influence that relationship as well. Results from the PLS-SEM technique was used to examine perception, acceptance, and adoption differences among demographic groups. Remarkably, the results show experience has a remarkable impact on the relationship between behavioral intention and the adoption use Metaverse for livestreaming. This study contributes theoretical value for investors and researchers on the entertainment and technology sectors due to the abilities of the live-streaming industry and the advanced features of metaverse in this digital world.
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