https://www.scipedia.com/wd/index.php?action=history&feed=atom&title=Subochev_et_al_2019aSubochev et al 2019a - Revision history2026-04-21T20:43:13ZRevision history for this page on the wikiMediaWiki 1.27.0-wmf.10https://www.scipedia.com/wd/index.php?title=Subochev_et_al_2019a&diff=191199&oldid=prevScipediacontent: Scipediacontent moved page Draft Content 552899400 to Subochev et al 2019a2021-01-28T16:09:35Z<p>Scipediacontent moved page <a href="/public/Draft_Content_552899400" class="mw-redirect" title="Draft Content 552899400">Draft Content 552899400</a> to <a href="/public/Subochev_et_al_2019a" title="Subochev et al 2019a">Subochev et al 2019a</a></p>
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== Abstract ==<br />
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This paper presents a methodology that has been developed for analyzing the production activities of posts, which allows to identify customers by their categories and territorial "affections", the emergence of which should be activated by a specific service enterprise. An algorithm has been developed for finding solutions for improving the quality of services and customer service conditions for a car service center. The practical implementation of the methodology was carried out on the basis of existing service enterprises for servicing trucks. Measures were found to increase the capacity of the production of service enterprises, which allows a particular enterprise to maintain its economic stability in a competitive environment. The criteria reflecting the production activities of the auto service enterprise are selected in accordance with justified principles. It is established that regular customers who apply for services more than three times, bring more revenue.<br />
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== Original document ==<br />
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The different versions of the original document can be found in:<br />
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* [https://zenodo.org/record/3387623 https://zenodo.org/record/3387623] under the license http://creativecommons.org/licenses/by/4.0/legalcode<br />
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* [https://zenodo.org/record/3387623 https://zenodo.org/record/3387623],<br />
: [http://dx.doi.org/10.5281/zenodo.3387622 http://dx.doi.org/10.5281/zenodo.3387622] under the license http://creativecommons.org/licenses/by/4.0/legalcode<br />
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* [https://zenodo.org/record/3387623 https://zenodo.org/record/3387623],<br />
: [http://dx.doi.org/10.5281/zenodo.3387623 http://dx.doi.org/10.5281/zenodo.3387623] under the license http://creativecommons.org/licenses/by/4.0/legalcode<br />
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DOIS: 10.5281/zenodo.3387622 10.5281/zenodo.3387623</div>Scipediacontent