ABC and HML-methods application for determination and optimization of stock for electrical equipment accessory parts
THE PURPOSE. To describe the use of ABC and HML-methods for predicting the volume of emergency stock for main electrical equipment accessory parts. To describe the content of the methods, consider the problems and complexity of use. To propose an algorithm constructing a new method for forming an em...
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| Format: | Article |
| Language: | English |
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Kazan State Power Engineering University
2021-07-01
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| Series: | Известия высших учебных заведений: Проблемы энергетики |
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| Online Access: | https://www.energyret.ru/jour/article/view/1847 |
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| author | A. V. Beloglazov A. G. Rusina O. V. Fomenko, D. A. Pekhota, V. A. Fyodorova |
| author_facet | A. V. Beloglazov A. G. Rusina O. V. Fomenko, D. A. Pekhota, V. A. Fyodorova |
| author_sort | A. V. Beloglazov |
| collection | DOAJ |
| description | THE PURPOSE. To describe the use of ABC and HML-methods for predicting the volume of emergency stock for main electrical equipment accessory parts. To describe the content of the methods, consider the problems and complexity of use. To propose an algorithm constructing a new method for forming an emergency stock based on the statistical data of an electric power company. METHODS. Various practical tasks can arise in electric power company. We have determined the most effective method for solving them using a numerical experiment. The highest efficiency of the ABC method is shown. The results of statistical processing will help to improve forecast precision using the ABC-method. RESULTS. The complex of statistical data and ABC-analysis showed high efficiency in short-term forecasting of electrical equipment components emergency stocks. Authors found that HML-analysis provides less precision in predicting the requirement of equipment. CONCLUSION. The ABC method is the most promising for implementation the specific task. The use of the method helps to accurately predict emergency stocks of company electrical equipment. The HML-method does not allow to precision planing the amount of required equipment. |
| format | Article |
| id | doaj-art-ed55dd46bdf04b5c990b6b4cd6aa7405 |
| institution | OA Journals |
| issn | 1998-9903 |
| language | English |
| publishDate | 2021-07-01 |
| publisher | Kazan State Power Engineering University |
| record_format | Article |
| series | Известия высших учебных заведений: Проблемы энергетики |
| spelling | doaj-art-ed55dd46bdf04b5c990b6b4cd6aa74052025-08-20T01:53:22ZengKazan State Power Engineering UniversityИзвестия высших учебных заведений: Проблемы энергетики1998-99032021-07-0123310311510.30724/1998-9903-2021-23-3-103-115764ABC and HML-methods application for determination and optimization of stock for electrical equipment accessory partsA. V. Beloglazov0A. G. Rusina1O. V. Fomenko,2D. A. Pekhota,3V. A. Fyodorova4Novosibirsk state technical universityNovosibirsk state technical universityNovosibirsk state technical universityNovosibirsk state technical universityNovosibirsk state technical universityTHE PURPOSE. To describe the use of ABC and HML-methods for predicting the volume of emergency stock for main electrical equipment accessory parts. To describe the content of the methods, consider the problems and complexity of use. To propose an algorithm constructing a new method for forming an emergency stock based on the statistical data of an electric power company. METHODS. Various practical tasks can arise in electric power company. We have determined the most effective method for solving them using a numerical experiment. The highest efficiency of the ABC method is shown. The results of statistical processing will help to improve forecast precision using the ABC-method. RESULTS. The complex of statistical data and ABC-analysis showed high efficiency in short-term forecasting of electrical equipment components emergency stocks. Authors found that HML-analysis provides less precision in predicting the requirement of equipment. CONCLUSION. The ABC method is the most promising for implementation the specific task. The use of the method helps to accurately predict emergency stocks of company electrical equipment. The HML-method does not allow to precision planing the amount of required equipment.https://www.energyret.ru/jour/article/view/1847emergency stockelectrical equipmentabc-methodfailure flow parameter. |
| spellingShingle | A. V. Beloglazov A. G. Rusina O. V. Fomenko, D. A. Pekhota, V. A. Fyodorova ABC and HML-methods application for determination and optimization of stock for electrical equipment accessory parts Известия высших учебных заведений: Проблемы энергетики emergency stock electrical equipment abc-method failure flow parameter. |
| title | ABC and HML-methods application for determination and optimization of stock for electrical equipment accessory parts |
| title_full | ABC and HML-methods application for determination and optimization of stock for electrical equipment accessory parts |
| title_fullStr | ABC and HML-methods application for determination and optimization of stock for electrical equipment accessory parts |
| title_full_unstemmed | ABC and HML-methods application for determination and optimization of stock for electrical equipment accessory parts |
| title_short | ABC and HML-methods application for determination and optimization of stock for electrical equipment accessory parts |
| title_sort | abc and hml methods application for determination and optimization of stock for electrical equipment accessory parts |
| topic | emergency stock electrical equipment abc-method failure flow parameter. |
| url | https://www.energyret.ru/jour/article/view/1847 |
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