Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/327410 
Year of Publication: 
2024
Citation: 
[Journal:] Journal of Innovation & Knowledge (JIK) [ISSN:] 2444-569X [Volume:] 9 [Issue:] 3 [Article No.:] 100507 [Year:] 2024 [Pages:] 1-14
Publisher: 
Elsevier, Amsterdam
Abstract: 
The introduction of Category Management in operational resources purchasing helps to improve logistics service levels and increase the profitability of industrial enterprises. There are two main purposes of the provided article. The first purpose is to develop a methodological framework for category management of operational resources supply for large industrial enterprises. Secondly, it aims to offer a mechanism for inter-organizational collaboration with suppliers and contractors in supply chains. This study is based on the methods of forecasting of the uncertain stock demand. Time-series and correlation-regression models are used for forecasting. The first finding of the research is the systematization and classification of the operational resources purchased by industrial enterprises. Modified models of operational resources inventory management and a methodology for assessing tied-up losses are offered in this article and, they are based on category management. A developed methodology allows one to make strategic decisions in the field of procurement. According to the preliminary estimates, implementation of the proposed approaches increases net profit in large industrial companies by 4-5 % in relative periods.
Subjects: 
Inventory requirement planning
Logistics service level
Maintenance
Optimization of purchasing process
Repair and operations
JEL: 
L11
L05
L06
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc-nd Logo
Document Type: 
Article

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.