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Full-Text Articles in Physical Sciences and Mathematics
Ai Gets Real At Singapore's Changi Airport (Part 1), Steve Lee, Steven M. Miller
Ai Gets Real At Singapore's Changi Airport (Part 1), Steve Lee, Steven M. Miller
Asian Management Insights
Ranked as the best airport for seven consecutive years, Singapore’s Changi Airport is lauded the world over for the efficient, safe, pleasurable and seamless service it offers the millions of passengers that pass through its facilities annually. Much of Changi Airport’s success can be attributed to the organisation’s customer-oriented business focus and deeply embedded culture of service excellence, combined with a host of advanced technologies operating invisibly in the background. The framework for this technology enablement is Changi Airport Group’s (CAG’s) SMART Airport Vision—an enterprise-wide approach to connective technologies that leverages sensors, data fusion, data analytics, and artificial intelligence (AI), …
Distilling Managerial Insights And Lessons From Ai Projects At Singapore's Changi Airport (Part 2), Steve Lee, Steven M. Miller
Distilling Managerial Insights And Lessons From Ai Projects At Singapore's Changi Airport (Part 2), Steve Lee, Steven M. Miller
Asian Management Insights
Since 2017, Changi Airport group (CAG) has initiated a host of pilot projects that use connective and intelligent technologies to enable its move towards digital transformation and SMART Airport Vision. This has resulted in a first wave of deployment of AI and Machine Learning-enabled applications across various functions that can better sense, analyse, predict, and interact with people.
Latent Choice Models To Account For Misclassification Errors In Discrete Transportation Data, Lacramioara Elena Balan
Latent Choice Models To Account For Misclassification Errors In Discrete Transportation Data, Lacramioara Elena Balan
Civil & Environmental Engineering Theses & Dissertations
One of the most fundamental tasks when it comes to analyzing data using statistical methods is to understand the relationship between the explanatory variables and the outcome. Misclassification of explanatory variables is a common risk when using statistical modeling techniques. In this dissertation, we define ‘misclassification,’ as a response that is reported or recorded in the wrong category; for example, a variable is registered as a one when it should have the value zero. Misclassification can easily happen in any data; for example, in an interview setting where the respondent misunderstands the question or the interviewer checks the wrong box. …
Supply Chain Managers' Reverse Logistics Strategies To Control Cost Through Risk Mitigation, Lawrence A. Reeves
Supply Chain Managers' Reverse Logistics Strategies To Control Cost Through Risk Mitigation, Lawrence A. Reeves
Walden Dissertations and Doctoral Studies
Supply chain managers in the food and beverage industry face significant challenges regarding the use of effective reverse logistics strategies to reduce supply chain disruptions, control risk, and reduce costs. Through the lens of resource dependence theory, the purpose of this multiple case study was to explore reverse logistics strategies used by supply chain managers in the United States to control cost through risk mitigation. Participants in this study included 5 supply chain managers in the food and beverage distribution industry in the state of Georgia who implemented successful reverse logistics strategies to control cost through risk mitigation. Data were …