A decision support system for the assignment and rebalancing problem in the absence of staff: A case study

In today's intense competition environment, enterprises must use their production resources effectively in order to sustain their assets. The importance of this issue is increasing day by day. For this reason, enterprises are working to manage their resources in the best way with various methods. One of the most important sources for businesses is labor. It is necessary to make effective use of human factor in labor intensive enterprises. In addition, absence in the business is very common. The appointment of the personnel who will work instead of the absentee personnel is done according to the personal opinions of the managers in the small and medium-sized enterprises, and generally the desired targets are not reached and the invisible losses occur. In this study, a mathematical model was firstly proposed in order to assign the appropriate personnel instead of daily absentee staff in an automotive supplier industry and to distribute the work if necessary, afterwards, in order to answer the needs of the enterprise, the Decision Support System (DSS) has been designed. In the event that the personnel does not come to work in the operation with the proposed KDS, the most authorized personnel is assigned to the relevant work stations and the work is shared to the other stations where necessary. Therefore, with a systematic process management, sustaining of standard production and minimizing the losses which may occur are aimed.