6 research outputs found

    Conditional aggregation-based Choquet integral on discrete space

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    We derive computational formulas for the generalized Choquet integral based on the novel survival function introduced by M. Boczek et al. [1]. We demonstrate its usefulness on the Knapsack problem and the problem of accommodation options. Moreover, we describe sufficient and necessary conditions under which novel survival functions based on different parameters coincide. This is closely related to the incomparability of input vectors (alternatives) in decision-making processes

    MANNER OF STOCKS SORTING USING CLUSTER ANALYSIS METHODS

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    The aim of the present article is to show the possibility of using the methods of cluster analysis in classification of stocks of finished products. Cluster analysis creates groups (clusters) of finished products according to similarity in demand i.e. customer requirements for each product. Manner stocks sorting of finished products by clusters is described a practical example. The resultants clusters are incorporated into the draft layout of the distribution warehouse

    The Proposal of Stock Items Reconfiguration on the Basis of Cluster Analysis Results

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    AbstractThe submitted article is focused on the field of distribution logistics with the aim of cluster analysis application as a tool for creation of groups of similar stock items (clusters) leading to speed up the company's reactions on customers’ requirements. When creating the groups (clusters) of stock items by using cluster analysis it is necessary to have information about the process which directly follows. It means that in case of analysis of distribution centre stock items, the input information are the data of product distribution of the previous period or distribution plan for the future period. Changes in distribution play an essential role in clustering that is why it is appropriate to use distribution data from several periods not just one. The output of the process of finished goods stock clustering by using hierarchical methods of cluster analysis is dendrogram. Consequently based on problem solver's subjective opinion the optimal numbers of clusters are selected and are incorporated into the proposal of finished goods warehouse layout reconfiguration. The result of cluster analysis in the form of finished products clusters is possibly applicable in other business processes, for instance production cells creation, raw materials warehouse layout reconfiguration and many others because the criterion of cluster creation are customers’ requirements which is determining criterion in the entire process of customer oriented companies
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