Abstract:
Information technology has become an essential part of modern industrial management as it plays a pivotal role in terms of manufacturing as sharing the best practices, compiling with local regulations and standards, and handling rapid changes within an organization. Despite many decades of adaptation and implementation, the information technology is plagued with poor quality data from inaccuracy or ignorance of a data entry. In this thesis, we examined the poor quality data of an international consumer goods company that has a regional office in Thailand and found that they could cause delays in production and delivery as the companys protocol requires the head quarter to correct and overwrite the data in a central ERP (Enterprise resource planning) system before proceed. Because of this protocol, we categorized the sources of such poor quality data and devised a regional procedure to ensure the accurate and aligned data before incorporated into the ERP system. The proposed procedure is composed of three interdependent steps. Before resume the data entry, the first step requires regional system administrators to train and share common mistakes and errors with operators. The next step occurs simultaneously during the data entry as the process in embedded into a new application that connect with the center ERP system. The application helps operators entering default values, explaining meaning of each field, preventing typos, and monitoring business rules. Having submitted the data to the ERP system, the last step is a feedback step that updates the training materials and improves the application. After 6 months of adoption of the new procedure, the error and delay are significantly reduced, particularly from 90.55% to 3.02%.