چكيده به لاتين
Abstract
Due to the rapid changes of the present era in the domestic and foreign markets, the ability to compete with the powerful competitors is the survival and development of the organizations. Due to the complexity of the processes and the speed of diversification of innovations and the intense competition in the market, only organizations can survive that careful evaluation of their organization and the identification of organizational problems and vulnerabilities provide strategies for identifying and resolving problems. Create processes. In this research, the organization's problems are categorized according to the Kaizen waste model, which involves over-production, over-processing, watting, transportation, over-movement, defects, and inventory, and the reasons for those problems in the organization are also examined. The research is a case study from the perspective of a case study method and is a descriptive exploratory research strategy. It is based on triangulation of data sources of documents, interviews and focus groups.
In the data analysis and validation phase, the collected data were analyzed and analyzed and the data were categorized and compared using constant comparative analysis. Saturation method was used for data validation.
The focal group saturation data were entered into the organization's web debugging software and recorded in a knowledge system based on expert system logic. Some of the problems identified in rail freight operations are the accumulation and stoppage of wagons, delay in loading and unloading, carriage overload required, delivery of repair parts, overloading during discharge and loading, data entry in multiple systems, and Inaccuracy in data entry into systems is the re-overhaul of newly repaired wagons. The software provided reports such as community and sharing of complications and causes of complications, as well as categorizing them according to the Kaizen model and generally recording the knowledge of the organization.
Keywords: Complication, Continuous Improvement, Rule-based Expert System, Kaizen, Lean Management
