In the past two decades, the advancement in data collection and storage have led to the accumulation of complex datasets. Consequently, various industries have sought data-driven solutions to predict and detect anomalies. Temporal patterns have emerged as potential features in prediction models that could improve the performance of the identification...
The performance of transit networks must be measured on a regular basis to understand how well these complex systems fulfill their intended purpose and to identify potential opportunities for improvement. Measuring transit network performance is only achievable by defining a specific set of transit network performance indicators (TNPIs). Different schemes...
Research has shown that emotional connections during lab activities increase learning in chemistry and physics courses. However, little research has examined the effects of emotion in engineering courses, and these studies have recognized a dearth of research examining the ability of students to apply engineering concepts in real-world applications based...
Healthcare access exhibits differing levels of complexity, often requiring multi-disciplinary approaches to study its barriers and enablers. Though Argentina has achieved nominal universal healthcare coverage through its public healthcare system, full effective coverage has not been achieved. The public system also has a parallel private care system, adding further complexity...
Organizations are constantly looking for innovative strategies to face more stringent competitive environments and the ever increasing market globalization. An alternative these organizations can pursue to respond to these challenges is to optimize their supply chain network (SCN). Important considerations when optimizing a SCN involve determining locations for plants and...
Changes in the global climate and forest management practices have given rise to increasing numbers and severity of wildfires. More than five million acres burned in the United States in 2017, while in Canada 7.4 million acres burned. In particular, an increasing amount of dead woody biomass is a key...
Small organizations may face several management challenges, such as developing non-centralized management structures, knowledge retention in rapid turnover environments, complex operations, and diverse stakeholder requirements. Many methodologies exist to address such management challenges, including viable system model, knowledge management, and Toyota production system, or lean manufacturing. Each of these methodologies...
Creating schedules for the job shop manufacturing system is an extremely difficult task. Although researchers have devoted a lot of attention to generating optimal solutions, these solutions are static, thus they do not update as random events occur that disrupt the system. As smart manufacturing has grown, researchers have been...
Moving mixed-model assembly lines are used by many companies to assemble multiple model types of a particular product. A moving assembly line consists of a material movement system that moves jobs at a constant velocity across a series of workstations. The variation in the work content of jobs at workstations...
In this research, the comparative performance of permutation and non-permutation schedules is investigated in an assembly flow shop (AFS) with shift production, where a limited buffer storage is available between two machines. Most of the traditional scheduling problems consider continuous production, i.e., production occurs for 24 hours (3 * 8-hour...