LOSS OF PRODUCTIVITY BASED ON SHIFTS OF GROUPINGS IN BUSINESS THE EFFECT OF DATA MINING METHOD

Abstract

Concepts learned and taught in relation to any topic are defined as information. Knowledge is dynamic, adapting to ever-changing conditions and key to the success of businesses. As more and more information is increasing day by day, it is kept as registered data in computer systems since this information will be needed later. Data is unprocessed information, and it can be realized by means of data mining that the information can be transformed into meaningful whole by processing with the help of Computers. Data mining makes it easier to obtain information from high-volume data sources. Businesses maintain their data in electronic form and find value in the future by making use of data mining methods to make decisions about the future. Productivity is the ability of the operator to obtain the most products with the least input. Businesses that want to keep their productivity at the highest level can identify the productivity losses they experience by using the data mining method on a shift basis by associating them with past data. One of them is productivity losses caused by groupings of workers in shift-oriented enterprises. Because in the same shift, occupations can act as a group and affect the efficiency of other shifts. This study was carried out in a business that operates in Adıyaman province and does not want to be named. How and why the loss of productivity among the shifts arising from the grouping of the occupants in the business; attempted to be determined by going out of the way of the past data. Proposals have been made to solve the loss of production due to efficiency by going out of the way.