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June 2020 (published: 19.06.2020)
Number 2(41)
Home > Issue > Application of Design of Experiments (DOE) methods to determine the values of factors affecting the performance of the post office
Potsulin А.D. , Sergeeva I.G., Kharlamova J. O.
Currently, appropriate technical support, without which it is difficult to imagine the sorting of letters, parcels, and other items, is the main factor determining the productivity of the post office, as well as its effectiveness. It should be noted that transport equipment in automated sorting centers has special requirements. The goal of the study is to assess the factors affecting the performance of the post office using the Design of Experiments (DOE) method. The application of this method is one of the basic cognitive devices in the development and implementation of a new structure and methods for making managerial decisions in enterprises. The object of research is the process of using a conveyor belt in communication departments. The following methods of mathematical analysis are used in the work: planning matrix, regression equation. The analysis of regulatory documents, in particular, state standards, carried out to determine the indicators of factors, showed that when using the presented methods, a number of factors should be taken into account that directly affect the production results. As a result of the study, the most significant factors affecting the performance of the post office were identified. In the framework of the experiment, a mathematical model is constructed that considers all possible interactions between these factors. As a result of checking the model for adequacy and its interpretation, optimal values are determined for the studied factors that affect the operation of the conveyor belt. This study was carried out as part of the research project No. 618279 «Methods and tools of innovative and entrepreneurial activity in the digital economy».
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Keywords: postal service, conveyor belt, Design of Experiments (DOE) method, optimization factors, planning matrix.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
UDC 338.47
Application of Design of Experiments (DOE) methods to determine the values of factors affecting the performance of the post office
Currently, appropriate technical support, without which it is difficult to imagine the sorting of letters, parcels, and other items, is the main factor determining the productivity of the post office, as well as its effectiveness. It should be noted that transport equipment in automated sorting centers has special requirements. The goal of the study is to assess the factors affecting the performance of the post office using the Design of Experiments (DOE) method. The application of this method is one of the basic cognitive devices in the development and implementation of a new structure and methods for making managerial decisions in enterprises. The object of research is the process of using a conveyor belt in communication departments. The following methods of mathematical analysis are used in the work: planning matrix, regression equation. The analysis of regulatory documents, in particular, state standards, carried out to determine the indicators of factors, showed that when using the presented methods, a number of factors should be taken into account that directly affect the production results. As a result of the study, the most significant factors affecting the performance of the post office were identified. In the framework of the experiment, a mathematical model is constructed that considers all possible interactions between these factors. As a result of checking the model for adequacy and its interpretation, optimal values are determined for the studied factors that affect the operation of the conveyor belt. This study was carried out as part of the research project No. 618279 «Methods and tools of innovative and entrepreneurial activity in the digital economy».
Read the full article
Keywords: postal service, conveyor belt, Design of Experiments (DOE) method, optimization factors, planning matrix.
DOI 10.17586/2310-1172-2020-13-2-160-169