This paper presents the development of a quality assurance information system based on Six-Sigma principles for schools in northern Thailand. The aim of this research is to solve problems that occurred in a previous system. These included an awkward user interface, support without quality standards, user confusion in the workflow, along with inaccurate and unreliable information system processes. Six-Sigma uses five processes. These are the define, measure, analyze, improvement, and control phases (DMAIC). According to previous studies, measurement of user satisfaction and expectations has three components: standards-based service, system reliability, and processing speed. Technical and non-technical quality measurements indicated that the initial system operated at a 2-sigma level. These measurements confirm that the proposed system provides the improved services over the initial system and that it effectively solved many of its problems. Moreover, it raised the efficiency of the service system based on quality assurance standards for the mission of the schools in the northern region.
This research presents the logistics management information system (LMIS) for the supply chain of lychee products of Phayao Province, Thailand. The main aim of this research is to develop a management application for Phayao’s agricultures to improve their competitive abilities on Chinese markets by utilizing a prediction method for traffic congestion based on both real-time and anticipated road traffic. The loss of productivity caused by traffic congestion has become a huge and increasingly heavy burden on Phayao farmers. Therefore, the prediction of urban road network traffic flow and the rapid and accurate evaluation of traffic congestion is of great significance to solve this problem. By using traffic data obtained by distance, road conditions, transportation safety, traffic density, and customs clearance, the local farmers in Phayao can deliver lychee products on time and reduce the loss of high emissions and environmental pollution caused by traffic congestion effectively.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.