Wyniki wyszukiwania - BazTech

Ograniczanie wyników

Znaleziono wyników: 3

Liczba wyników na stronie

Wyniki wyszukiwania

Sortuj według:

Ogranicz wyniki do:

Assortment ABC classification problem at the warehouse modelled as a multi-knapsack

Czerniachowska Kateryna, Hernes Marcin, Subbotin Sergey

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

2023

z. 172

109--131

Purpose: Appropriate product categorisation in warehouses is an issue facing most warehouses and distribution centres around the globe today. The ABC classification scheme aids in determining the most vital values at the warehouse. ABC classification reduces the effects of excess, end-of-life, or huge volumes of phase-out products. Design/methodology/approach: ABC classification is a method for classifying products according to their relevance. Products are divided into three categories using the ABC analysis, with category “A” items being the most important, category “B” as medium important and category “C” items being the least important for the distributor. This research model the ABC classification problem as a multi-knapsack and provides an example of commercial and noncommercial solver usage that enables distributors to categorise assortment according to the ABC classification. Findings: Proposed approach enables the distributor to arrive at the best possible outcomes. Research limitations/implications: The main limitation of this research is that it does not take into consideration constraints that show that some products cannot be quickly categorised or placed on the shelves because of the availability of storage equipment or warehouse personnel at the time of classification should be considered. Further research may be done on these issues. Practical implications: Performance comparisons between the proposed approach and the traditional ABC classification method provided by the distributors are conducted. Originality/value: The main contribution is the improvement of the classification method used in warehouses these days. The proposed approach allows assigning an optimal product mix to ABC categories.

A linearisation approach to solving a non-linear shelf space allocation problem with multi-oriented capping in retail store and distribution centre

Czerniachowska Kateryna, Hernes Marcin, Lutosławski Krzysztof

Operations Research and Decisions

2022

Vol. 32, No. 4

33--56

Shelf space is one of the essential resources in logistic decisions. Order picking is the most time-consuming and labourintensive of the distribution processes in distribution centres. Current research investigates the allocation of shelf space on a rack in a distribution centre and a retail store. The retail store, as well as the distribution centre, offers a large number of shelf storage locations. In this research, multi-orientated capping as a product of the rack allocation method is investigated. Capping allows additional product items to be placed on the rack. We show the linearisation technique with the help of which the models with capping could be linearised and, therefore, an optimal solution could be obtained. The computational experiments compare the quality of results obtained by non-linear and linear models. The proposed technique does not increase the complexity of the initial non-linear problem.

Generative adversarial networks for students' structure prediction : preliminary research

Kozina Agata, Nowosielski Krzysztof, Kes Zdzisław, Sidor Olena, Hernes Marcin, Golec Paweł, Zhanat Korlan

Annals of Computer Science and Information Systems

2022

Vol. 31

113--120

The effectiveness of the university's functioning and its organizational culture can be improved thanks to the use of machine learning. At Universities, the context of student anticipation is very important from the point of view of the fundamental planning and control functions associated with this specific form of management. The purpose of this study is to present the results of an experiment involving the prediction of student structure based on the use of a machine learning solution (GANs) and comparing them against real data obtained from a registry system of a European public institution of higher education in economic sciences. At universities, there is a clear need to support various components of system management. The experiments revealed that - for 11 out of the 48 examined datasets - the PSI index was in excess of 75\% but was decidedly lower for the remaining sets (with 18 sets assessed below the margin of 50\%).