# Multi-Criteria Decision-Making Techniques for Optimal In-House Storage Location Selection
## 5 Conclusions  
The aim of this study was twofold: to present suitable options for solving warehouse location issues, and to present the case study results realized in the specific company. The solution to warehouse location issues is very important. It is based not only on the economic effect of effective warehouse management but also on the global economic situation of the company management. Based on the literature review and the author's previous research activity, MCDMs were selected to solve the issue of warehouse location. The problem has been solved in the context of a brewing company in the Czech Republic. After a lengthy consultation with the company about the warehouse's main issue, the authors realized that the result of the consultation was a proposal for a storage location. Based on the consultation and literature review results, the company's administrators and management selected four critical criteria and alternatives. These four criteria are C1--Warehouse-Location Occupation Costs (CZK)--Cost of one pallet in CZK per day; C2--Loading/Unloading Cost (CZK); C3--Handling Time per Unit (min), and C4--Distance to the given storage location (m). In addition, four possible inside storage locations have been considered as alternatives. The locations were marked as Location A, Location B, Location C, and Location D. To solve this problem, the authors of this paper applied multi-criteria decision-making (MCDM) techniques such as ARAS and CoCoSo. The results of both methods indicated that Location A is the best possible solution for storing goods. This paper's significant theoretical and practical contributions are as follows:  
1. For the first time, the MCDM techniques such as ARAS and CoCoSo were applied to the in-house Storage Location Selection problem. 2. The applied methods have been used to solve a real-life problem in a brewing company in the Czech Republic. Figure 4: Comparative analysis. Possible future directions of this paper should be to apply some other MCDM methods to solve the same or similar in-house management problems. However, it is important to emphasize in future research that the applicability of MCDM methods in location problem solutions, in general, can be enhanced by combining them with quantum computing, or at least by prioritizing some components. This includes the determination of procedures and applicable methods, the validation and evaluation of information obtained in the field of quantum computing, and the use of quantum computers with a focus on solving optimization tasks in logistics. It is mainly an examination of the possibilities of using quantum computers and quantum calculations, which are converted into technical and logical models in the following stages of the project. Part of the future research activity of the authors includes researching the possibility of using quantum concepts to solve the fuzzy model. Fuzzy logic should be implemented to solve optimization in logistics because it deals with uncertainty. Since quantum computing is an upcoming field, it should present many opportunities in terms of logistics. P.P. : Introduction, literature review, methodology, case study design, data processing. N.M.: Writing original draft and editing, methodology, literature review. H.B. : Writing original draft and editing, methodology, literature review. All authors have read and agreed to the published version of the manuscript. This research received no external funding. Data Availability Statement: Data is contained within the article. This work is a part of the projects: CZ.01.1.02/0.0/0.0/21_374/0026861, APVV-21-0195 and also the project SK-SRB-23-0054. The authors declare no conflict of interest. The following abbreviations are used in this manuscript: