Developments in information technologies are important in terms of evaluating the data in short, medium and long term. Technological developments and the conveniences provided have benefited the managers to evaluate this information in order to make a decision. Decision support systems allow the use of a wide variety of techniques in the same application, from raw data, to the fact that the end-user is a process that involves the entire process from easily understanding and creating the information that can be included in the decision-making process, not to provide hypothesis verification, but to find new, hidden patterns. Businesses have to make maintenance to increase the use of their machines. Maintenance is planned and unplanned. Planned maintenance; machinery, building, equipment etc. It can be defined as the systems that provide the periodic production of the equipment. The enterprises try to work as if there will be no unplanned stance. Enterprises determine their productivity by reference to their capacities and determine their profit and loss amounts according to this reference quantity. Productivity is defined as “the ratio between the quantity of goods and services produced and the inputs used to produce this quantity of goods and services” and is usually formulated as output / input.
The study was conducted in a spinning mill operating in the organized industrial zone in Malatya. In June 2017, the main production area of the plant was planned to examine the unplanned machine downturns in June 2017 and examine the efficiency loss in June. For this purpose, decision support systems which are based on information technology and contribute to the decision-making of managers have been utilized. Business data for June 2017 are in the form of a database within the enterprise resource planning software used as information technology. Data were analyzed by Microsoft Excel decision support system. With the analyzes made from unplanned machine downtimes data, the loss of productivity in the enterprise will be determined and the losses can be reduced by decision support systems method in the following periods. Unplanned machine stops in enterprises; The data were calculated by examining the data of the cases such as equipment welded, personnel welded, lack of material due to lack of materials, inadequate maintenance, overcoming the normal time in the party exchanges, quality control procedures after the troubleshooting, power outages and reflection of the errors made by the planning department to the enterprise. By taking advantage of the data obtained from all the data in the enterprise, stoppages due to unplanned machine downtimes in the enterprise have been associated with other production data of the enterprise. Based on the general production account data of the company, starting from the Microsoft Excel decision support system, the production account for the single machine of the enterprise is done as follows. It is applied by making changes in formula data according to the situation of the enterprise. The production amount of the enterprise in June was calculated by the company according to the technical characteristics of the yarn type. It is observed that the business is a holiday on Sundays and this corresponds to 4 days a month and the company has worked 26 days. Ne20/1 – (93%) Ne30/1 – (96%) According to the reference efficiency rate (%91), the production amount to be given in one month for Ne40/1 types is 902696 kg / month. The reason for the unplanned machine stoppages in June 2017 related to the operation was taken from the logbook and other reports created daily for the enterprise. Calculations were made by calculating the hours and minutes. There. In June 2017, the power outage occurred 2 times and total for the two power outages for Ne20/1 + Ne30/1 + Ne30/1 was 780.37 kg; for the Ne20/1 + Ne30/1 due to lack of material, 107.76 kg; 2048.77 kg for Ne20/1 + Ne30/1 + Ne30/1 originating from batch exchange; for the welded Ne20/1, 63,84 kg, for the insufficient maintenance of Ne20/1 + Ne30/1 for 50,86 kg. calculated as. These data were determined using decision support systems.
Unplanned machine posture is inevitable for businesses. Businesses can reduce this by examining past information to minimize these downtimes. The mathematical calculations related to unplanned machine posture were made and some productivity values were put forward. %0,366 for Ne20/1 from unplanned machine stops; For Ne30/1, %0,306 and for Ne40/1 there is a loss of efficiency of %0,287. The productivity losses in these types of production are not normal. The reduction of these losses includes not only a single enterprise but also the whole country and other sectors.
Keywords: Unstructured Machine Posture, IT, Decision Support Systems, Productivity

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