Master'sOpen Access

Solution of the problem of assigning operators to the machines in workshop type production with a competence analysis based hungary algorithm

2022
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Advisor: Dr. Öğr. Üyesi Seher Arslankaya

Abstract (EN)

Keywords: Competency analysis, Hungarian method, Lingo program Choosing the right candidate for the right job depends on establishing a model that will help select the most suitable candidate among the alternatives. In this study, using the competence measurement values for four operators working in the production in an aluminum production factory, the operators were assigned to steel, lathe, CNC and heat treatment benches using the Hungarian algorithm method. TAN competency instruction has been prepared to measure operator competencies. This instruction, which was prepared for the thesis study, has added subjectivity to the study since no example has been encountered before. The desired result with this study is to achieve maximum work efficiency in the decisions to be taken in the organization management and in the work distribution, to measure the competencies of the operators, to assign the most suitable personnel to the jobs by using the Hungarian algorithm method of the operations research according to the results of the competencies. This technique offers the business management the opportunity to use the resources in an optimum way. Hungarian method algorithm is solved in manual and lingo program. By comparing the results, information is given about what can be done in future studies and which method can be used in enterprises with a large number of personnel. With the model created, the competencies of the personnel working in production are listed in an objective way. With the proposed model, it was concluded that it can be adapted to other positions in the assignment process.

Author

Dr. Çiğdem Cebeci

How to Cite

Çiğdem Cebeci (Master Thesis). Solution of the problem of assigning operators to the machines in workshop type production with a competence analysis based hungary algorithm, 2022, Sakarya University.

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