Methods of Modeling the Demand for Resources in the Logistics Sector

Karol Sikora, Rafal Cieslik
European Research Studies Journal, Volume XXV, Issue 3, 665-681, 2022
DOI: 10.35808/ersj/3057


Purpose: Within the framework of this article, the authors review and analyze selected methods of modelling the demand for resources in the logistics industry and application of these methods as a tool to improve efficiency of logistics entities. Design/Methodology/Approach: The general part contains a definition of the logistics sector and its basic characteristics, as well as issues related to determining demand for resources in the broader context of organization management. The detailed part discusses selected methods of modelling the demand for resources, presenting the context of their application and development perspectives of theoretical models for estimating demand for resources. Findings: According to the principle of rational management, enterprises strive for the best possible use of their resources. One of the means to achieve this goal is the proper determination of demand for these resources, resulting from the current scale of operations and expected changes in this area. In the logistics sector, which is an increasingly important element of trade, and in many countries one of the key areas of the economy, the right selection of resources affects both achieved financial results and operational possibilities of providing services. Practical Implications: Results of the review indicate that correct determination of the demand for resources is one of the key factors determining development of a market advantage by individual participants in the exchange of goods. Originality/Value: From the point of view of implementation of long-term goals of logistics companies, strategic analyzes are of key significance, however, short-term analyzes are also important, especially in ensuring current operational efficiency. Regardless of the time perspective, planning models that limit the risk of inappropriate adjustment of resources to the scale of operations, turn out to be useful.

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