The Importance of Forecasting in Industrial Enterprise Management Using Machine Learning

In this work, the assessment of the importance of forecasting in making a management decision during an operational control of an enterprise without including individual cases of dominating impact of forecasted values, including the investing policies and strategic enterprise management, was conside...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Scientific and technical information processing 2022-12, Vol.49 (5), p.393-398
Hauptverfasser: Vorobev, A. V., Kudinov, V. A.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 398
container_issue 5
container_start_page 393
container_title Scientific and technical information processing
container_volume 49
creator Vorobev, A. V.
Kudinov, V. A.
description In this work, the assessment of the importance of forecasting in making a management decision during an operational control of an enterprise without including individual cases of dominating impact of forecasted values, including the investing policies and strategic enterprise management, was considered. As an alternative to the expert method, a forecast importance assessment method based on gradient-boosted machine learning algorithm analysis of a decision informational field with the subsequent interpretation of acquired results with Shapley values, allowing for a numerical representation of importance. This method is suggested for use as a tool to increase efficiency of intellectual decision-making support systems by the means of including it in the procedure of automated analysis of importance of features. This work is interdisciplinary, and it concerns problems of systems analysis, economics, and psychology.
doi_str_mv 10.3103/S0147688222050173
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2783898824</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2783898824</sourcerecordid><originalsourceid>FETCH-LOGICAL-c268t-5560ac1aa73dd7c0625fb05375a6b9a65aa94a0ef53324350eef8af2f8fc84063</originalsourceid><addsrcrecordid>eNp1kE9LAzEQxYMoWKsfwFvA82r-bLLZo5RWCy0ebMHbMk0n7ZY2W5P04Lc3SwUP4mlg5vfe8B4h95w9Ss7k0zvjZaWNEUIwxXglL8iA17IsDOfmkgz6c9Hfr8lNjDvGlBZlPSAfiy3S6eHYhQTeIu0cnXQBLcTU-g1tPZ369Smm0MKejn3CcAxtRDoHDxs8oE90GXtyDnbbeqQzhODz4pZcOdhHvPuZQ7KcjBej12L29jIdPc8KK7RJhVKageUAlVyvK8u0UG7FlKwU6FUNWgHUJTB0SkpRSsUQnQEnnHHWlEzLIXk4-x5D93nCmJpddwo-v2xEZaSpc-YyU_xM2dDFGNA1OcYBwlfDWdMX2PwpMGvEWRMz6zcYfp3_F30D18JyEw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2783898824</pqid></control><display><type>article</type><title>The Importance of Forecasting in Industrial Enterprise Management Using Machine Learning</title><source>SpringerLink Journals</source><creator>Vorobev, A. V. ; Kudinov, V. A.</creator><creatorcontrib>Vorobev, A. V. ; Kudinov, V. A.</creatorcontrib><description>In this work, the assessment of the importance of forecasting in making a management decision during an operational control of an enterprise without including individual cases of dominating impact of forecasted values, including the investing policies and strategic enterprise management, was considered. As an alternative to the expert method, a forecast importance assessment method based on gradient-boosted machine learning algorithm analysis of a decision informational field with the subsequent interpretation of acquired results with Shapley values, allowing for a numerical representation of importance. This method is suggested for use as a tool to increase efficiency of intellectual decision-making support systems by the means of including it in the procedure of automated analysis of importance of features. This work is interdisciplinary, and it concerns problems of systems analysis, economics, and psychology.</description><identifier>ISSN: 0147-6882</identifier><identifier>EISSN: 1934-8118</identifier><identifier>DOI: 10.3103/S0147688222050173</identifier><language>eng</language><publisher>Moscow: Pleiades Publishing</publisher><subject>Algorithms ; Computer Science ; Computer Systems Organization and Communication Networks ; Decision analysis ; Decision making ; Economic analysis ; Forecasting ; Machine learning ; Psychology ; Support systems ; Systems analysis</subject><ispartof>Scientific and technical information processing, 2022-12, Vol.49 (5), p.393-398</ispartof><rights>Allerton Press, Inc. 2022. ISSN 0147-6882, Scientific and Technical Information Processing, 2022, Vol. 49, No. 5, pp. 393–398. © Allerton Press, Inc., 2022. Russian Text © The Author(s), 2021, published in Iskusstvennyi Intellekt i Prinyatie Reshenii, 2021, No. 4, pp. 27–34.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c268t-5560ac1aa73dd7c0625fb05375a6b9a65aa94a0ef53324350eef8af2f8fc84063</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.3103/S0147688222050173$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.3103/S0147688222050173$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,777,781,27905,27906,41469,42538,51300</link.rule.ids></links><search><creatorcontrib>Vorobev, A. V.</creatorcontrib><creatorcontrib>Kudinov, V. A.</creatorcontrib><title>The Importance of Forecasting in Industrial Enterprise Management Using Machine Learning</title><title>Scientific and technical information processing</title><addtitle>Sci. Tech. Inf. Proc</addtitle><description>In this work, the assessment of the importance of forecasting in making a management decision during an operational control of an enterprise without including individual cases of dominating impact of forecasted values, including the investing policies and strategic enterprise management, was considered. As an alternative to the expert method, a forecast importance assessment method based on gradient-boosted machine learning algorithm analysis of a decision informational field with the subsequent interpretation of acquired results with Shapley values, allowing for a numerical representation of importance. This method is suggested for use as a tool to increase efficiency of intellectual decision-making support systems by the means of including it in the procedure of automated analysis of importance of features. This work is interdisciplinary, and it concerns problems of systems analysis, economics, and psychology.</description><subject>Algorithms</subject><subject>Computer Science</subject><subject>Computer Systems Organization and Communication Networks</subject><subject>Decision analysis</subject><subject>Decision making</subject><subject>Economic analysis</subject><subject>Forecasting</subject><subject>Machine learning</subject><subject>Psychology</subject><subject>Support systems</subject><subject>Systems analysis</subject><issn>0147-6882</issn><issn>1934-8118</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp1kE9LAzEQxYMoWKsfwFvA82r-bLLZo5RWCy0ebMHbMk0n7ZY2W5P04Lc3SwUP4mlg5vfe8B4h95w9Ss7k0zvjZaWNEUIwxXglL8iA17IsDOfmkgz6c9Hfr8lNjDvGlBZlPSAfiy3S6eHYhQTeIu0cnXQBLcTU-g1tPZ369Smm0MKejn3CcAxtRDoHDxs8oE90GXtyDnbbeqQzhODz4pZcOdhHvPuZQ7KcjBej12L29jIdPc8KK7RJhVKageUAlVyvK8u0UG7FlKwU6FUNWgHUJTB0SkpRSsUQnQEnnHHWlEzLIXk4-x5D93nCmJpddwo-v2xEZaSpc-YyU_xM2dDFGNA1OcYBwlfDWdMX2PwpMGvEWRMz6zcYfp3_F30D18JyEw</recordid><startdate>20221201</startdate><enddate>20221201</enddate><creator>Vorobev, A. V.</creator><creator>Kudinov, V. A.</creator><general>Pleiades Publishing</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20221201</creationdate><title>The Importance of Forecasting in Industrial Enterprise Management Using Machine Learning</title><author>Vorobev, A. V. ; Kudinov, V. A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c268t-5560ac1aa73dd7c0625fb05375a6b9a65aa94a0ef53324350eef8af2f8fc84063</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Algorithms</topic><topic>Computer Science</topic><topic>Computer Systems Organization and Communication Networks</topic><topic>Decision analysis</topic><topic>Decision making</topic><topic>Economic analysis</topic><topic>Forecasting</topic><topic>Machine learning</topic><topic>Psychology</topic><topic>Support systems</topic><topic>Systems analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Vorobev, A. V.</creatorcontrib><creatorcontrib>Kudinov, V. A.</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Scientific and technical information processing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Vorobev, A. V.</au><au>Kudinov, V. A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Importance of Forecasting in Industrial Enterprise Management Using Machine Learning</atitle><jtitle>Scientific and technical information processing</jtitle><stitle>Sci. Tech. Inf. Proc</stitle><date>2022-12-01</date><risdate>2022</risdate><volume>49</volume><issue>5</issue><spage>393</spage><epage>398</epage><pages>393-398</pages><issn>0147-6882</issn><eissn>1934-8118</eissn><abstract>In this work, the assessment of the importance of forecasting in making a management decision during an operational control of an enterprise without including individual cases of dominating impact of forecasted values, including the investing policies and strategic enterprise management, was considered. As an alternative to the expert method, a forecast importance assessment method based on gradient-boosted machine learning algorithm analysis of a decision informational field with the subsequent interpretation of acquired results with Shapley values, allowing for a numerical representation of importance. This method is suggested for use as a tool to increase efficiency of intellectual decision-making support systems by the means of including it in the procedure of automated analysis of importance of features. This work is interdisciplinary, and it concerns problems of systems analysis, economics, and psychology.</abstract><cop>Moscow</cop><pub>Pleiades Publishing</pub><doi>10.3103/S0147688222050173</doi><tpages>6</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0147-6882
ispartof Scientific and technical information processing, 2022-12, Vol.49 (5), p.393-398
issn 0147-6882
1934-8118
language eng
recordid cdi_proquest_journals_2783898824
source SpringerLink Journals
subjects Algorithms
Computer Science
Computer Systems Organization and Communication Networks
Decision analysis
Decision making
Economic analysis
Forecasting
Machine learning
Psychology
Support systems
Systems analysis
title The Importance of Forecasting in Industrial Enterprise Management Using Machine Learning
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-19T08%3A13%3A21IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20Importance%20of%20Forecasting%20in%20Industrial%20Enterprise%20Management%20Using%20Machine%20Learning&rft.jtitle=Scientific%20and%20technical%20information%20processing&rft.au=Vorobev,%20A.%20V.&rft.date=2022-12-01&rft.volume=49&rft.issue=5&rft.spage=393&rft.epage=398&rft.pages=393-398&rft.issn=0147-6882&rft.eissn=1934-8118&rft_id=info:doi/10.3103/S0147688222050173&rft_dat=%3Cproquest_cross%3E2783898824%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2783898824&rft_id=info:pmid/&rfr_iscdi=true