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INFORMATION TECHNOLOGY OF STAFF SELECTION IN THE OFFICE OF A LOGISTICS ENTERPRISE IN CONDITIONS OF FUZZY INFORMATION
Author(s) -
Александр Сергеевич Кононыхин,
Bohdan Chornyi,
Ihor Shaposhnyk,
Daria Bolohova
Publication year - 2021
Publication title -
vestnik harʹkovskogo nacionalʹnogo avtomobilʹno-dorožnogo universiteta
Language(s) - English
Resource type - Journals
eISSN - 2521-1773
pISSN - 2219-5548
DOI - 10.30977/bul.2219-5548.2021.92.1.87
Subject(s) - selection (genetic algorithm) , process (computing) , information technology , task (project management) , knowledge management , computer science , process management , integrated logistics support , business , engineering , systems engineering , artificial intelligence , operating system
The main task in choosing candidates for filling a vacancy is to meet the demand for employees in qualitative and quantitative terms. Hiring an employee is preceded by a clear understanding of the functions he will execute, tasks and job responsibilities, rights and interactions in the organization. Based on the set-out requirements, appropriate people selected for a specific position. Staff selection remains a challenge for many companies (problem).  For solving these problems, it is necessary to develop information technology for the staff selection in the office of a logistics enterprise, which will provide a decision-making process in various situations for tasks of varying computational complexity(methodology). The work goals  to improve the organizational management of staff support through the development of information technology for staff selection in the office of a logistics company. To achieve this goal, you need to solve the following tasks to develop the structure of information technology for the process of staff selection in the office of a logistics company; to formulate an example of staff selection by using analytic hierarchy process. As a result of developed information technology for staff selection in the office of a logistics enterprise includes:  requirements formation for the office staff for the logistics enterprise; goal formation and its decomposition, including decision-making of multi-criteria and fuzzy information, information support and rule base staff selection model in the office of a logistics enterprise; multi-criteria discrete optimization; results evaluation. The practical aspect of  example of staff selection in logistics office considered the usage of the analytic hierarchy process. A hierarchy of problems ‘to choose the best candidates’ creates a matrix of pairwise comparisons for all criteria. The first level is to select the best candidate. The second level is to evaluate the criteria for candidates.  The third level is to fulfil the vacancy of a logistics enterprise. The difference of the developed information technology lies in the usage of fuzzy initial information, which makes it possible to be more adequately and fully evaluate applicants for vacant vacancies (originality).

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