Dynamic Multi-Criteria Decision Support System For Distribution Warehouse Management In Metallurgical Enterprise

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F29142890%3A_____%2F25%3A00052990" target="_blank" >RIV/29142890:_____/25:00052990 - isvavai.cz</a>

Result on the web

<a href="https://www.confer.cz/metal/2025/5102-dynamic-multi-criteria-decision-support-system-for-distribution-warehouse-management-in-metallurgical-enterprise" target="_blank" >https://www.confer.cz/metal/2025/5102-dynamic-multi-criteria-decision-support-system-for-distribution-warehouse-management-in-metallurgical-enterprise</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.37904/metal.2025.5102" target="_blank" >10.37904/metal.2025.5102</a>

Result language

angličtina

Original language name

Dynamic Multi-Criteria Decision Support System For Distribution Warehouse Management In Metallurgical Enterprise

Original language description

In the current business environment, characterised by globalisation and technological advances, metallurgical companies are facing unprecedented challenges. In order to maintain competitiveness, these companies must demonstrate a capacity to respond to these emerging trends. In the context of intensifying competition and the pressure to reduce costs, the pursuit of innovative solutions to optimise logistics process is necessary. The implementation of advanced decision support systems supports the pivotal role of innovation and technological progress in ensuring sustained competitiveness in the metallurgical industry. The aim of paper is to present a methodology for the development of a dynamic multi-criteria decision support system for the management of distribution warehouses in the metallurgical industry in order to optimise storage, picking and loading processes. The methodology is based on a comprehensive process analysis of the warehouse management system and the identification of key factors influencing the decision-making processes. The development of a system utilizes the multi-criteria decision-making method of Analytic Hierarchy Process (AHP), with the objective of evaluating and recommending optimal storage locations based on a selection of criteria. These criteria encompass trade-offs between production, logistics and warehouse requirements, including distance from critical points and warehouse location. The proposed model was tested on selected warehouse events under defined conditions, which demonstrated its potential to significantly improve the efficiency of the distribution warehouse management system, thus increasing the competitiveness in the metallurgical industry. The proposed methodology for both process analysis and decision support system design has been generalized for wider use across the metallurgical industry.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

50204 - Business and management

Project

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Continuities

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings 34th International Conference on Metallurgy and Materials

ISBN

978-80-88365-27-3

ISSN

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e-ISSN

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Number of pages

7

Pages from-to

563-569

Publisher name

TANGER

Place of publication

Ostrava

Event location

Brno

Event date

Jan 1, 2025

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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