Providing an optimal time management model based on Internet of Things using Crisp data mining (Study case: Iran Khodro Company)

Document Type : Original Article

Authors

1 Business Management, Marketing, Payam Noor University, Arstan, Al-Shatar, Iran

2 Master's degree, business management, marketing, Payam Noor University, Al-Shatar, Lorestan, Iran

Abstract

This research is to present the optimal time management model based on Internet of Things using Crisp data mining (case study: Iran Khodro Company). The current research is fundamental and applied in terms of its purpose and qualitative in terms of the data collection method. The research data in the first stage is collected through the collection of data and primary information from the library method and the study of articles, books, treatises, theses and specialized texts related to has been achieved and in the second part of the qualitative research, the grounded theory method was used to discover and identify the components, dimensions and variables of time management based on the Internet of Things and the necessary variables were identified to collect data in this part of the semi-structured in-depth interview method was used By using the tool of individual in-depth interviews, the experiences of the participants are extracted in depth. The statistical population of the present study includes 20 faculty members in the field of management and experts in this field, and the sampling was done by snowball method. The results of the study show that By using the optimal time management model based on the Internet of Things, Iran Khodro organization will be able to improve the production processes and perform better in the production of cars. This optimization can lead to reduction of production time, increase of quality and reduction of production costs. The use of smart systems and the aggregation and analysis of traffic data will help Iran Khodro to bring significant improvements in urban traffic management. This development can reduce travel time, improve traffic cohesion, reduce traffic and improve the quality of life of citizens.

Keywords