Rodyti trumpą aprašą

dc.contributor.authorIurasov, Aleksei
dc.contributor.authorIvashko, Larysa
dc.contributor.authorMaksymov, Olexandr
dc.date.accessioned2023-09-18T16:08:10Z
dc.date.available2023-09-18T16:08:10Z
dc.date.issued2021
dc.identifier.issn2306-4994
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/111590
dc.description.abstractThe purpose of this paper is to improve the commodity management of retail chains by developing theoretical provisions of decision support system of retail chain commodity management (DSS RCM). Trading networks buy goods directly from manufacturers or large wholesalers, place these goods in warehouses, organize their distribution to stores. Commodity managers should decide how to provide all stores of the network in timely manner with the most profitable product every day. The objective of the DSS RCM is to maximize the daily trading margin, per each euro invested in commodities taking into account restrictions on commodity resources and shelf space. The DSS RCM have to prepare bills of lading and orders for inbound logistics, distribution and re-distribution of commodities within the network. Decision support uses data available in any retail software. The calculation algorithms are simple and effective to ensure the necessary and sufficient accuracy with the time and hardware limitations and without significant investments in hardware and staff qualifications update. Algorithms calculate the optimal solution based on the objective function (for example, profit maximization) and restrictions (for example, inventory level, store sales, profit from sales of a given product). The paper systematized the approaches of other scientists to solve the problem of product management in retail. Author analyze the strengths and weaknesses of those approaches for purpose to find the optimal approach for retail chains. So the aim of this study is to develop theoretical basis of decision support system of retail chain commodity management (DSS RCM). The proposed method of optimization of commodity assets in retail based on their mathematical modeling and calculating of the consolidated profitability ratio. Research results are limited to homogeneous product retail chains (e.g., clothing or footwear). By using proposed algorithms calculations could be in real-time mode in the database for tens (hundreds) of thousands items in the product range (for example, when selling clothes and shoes, a unique combination of model, color and size forms a separate item in the product range) in hundreds (thousands) of stores. Therefore, it could be hundreds of millions of combinations items-stores (Big Data).eng
dc.formatPDF
dc.format.extentp. 260-269
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyEmerging Sources Citation Index (Web of Science)
dc.relation.isreferencedbyIndex Copernicus
dc.relation.isreferencedbyResearchBib
dc.rightsLaisvai prieinamas internete
dc.source.urihttps://doi.org/10.18371/fcaptp.v1i36.227782
dc.source.urihttps://talpykla.elaba.lt/elaba-fedora/objects/elaba:103144038/datastreams/MAIN/content
dc.titleDevelopment of decision-support algorithms for commodity management
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.accessRightsThis work is licensed under a Creative Commons Attribution 4.0 International License.
dcterms.licenseCreative Commons – Attribution – 4.0 International
dcterms.references39
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.institutionOdessa I.I. Mechnikov National University
dc.contributor.facultyVerslo vadybos fakultetas / Faculty of Business Management
dc.subject.researchfieldS 004 - Ekonomika / Economics
dc.subject.researchfieldS 003 - Vadyba / Management
dc.subject.studydirectionL01 - Verslas / Business studies
dc.subject.vgtuprioritizedfieldsEV03 - Dinamiškoji vadyba / Dynamic Management
dc.subject.ltspecializationsL103 - Įtrauki ir kūrybinga visuomenė / Inclusive and creative society
dc.subject.enretail chain
dc.subject.encommodity management
dc.subject.endecision support
dc.subject.ensales analytics
dcterms.sourcetitleFinancial and credit activity: Problems of theory and practice
dc.description.issueiss. 36
dc.description.volumevol. 1
dc.publisher.nameBanking University
dc.publisher.cityLviv
dc.identifier.doi10.18371/fcaptp.v1i36.227782
dc.identifier.elaba103144038


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