Abstract
Supplier selection problem for maritime enterprises might be solved by using a combination of information processing methods. In this article we propose to use an integrated approach to problem analysis, specifically a multi-objectives analysis merged with analytical hierarchical process (AHP-method), k-meaning cluster analysis and Taboo Search as a way of sorting and clusterization of potential suppliers. The main purposes of this article are to provide academic researchers, maritime companies with an evaluation methodology of potential suppliers. In addition, it might be helpful for suppliers to evaluate themselves and direct their attention to the fields that matter the most for their customers. The article identifies supplier selection’s criteria and sub-criteria that fits the most for maritime enterprises such as (a) parts and stores companies or (b) bunkers and lubricators suppliers ‘selection accordingly. Also shows the way to gradate list of potential suppliers based on the compilation of their scores on certain sub-criteria and its weight for customer-company using analytical hierarchical process. In addition, suggested the combination of k-meaning cluster analysis with Taboo Search as a way to choose a group of suppliers for enterprises that prefer to work with couple suppliers.
Highlights
IntroductionSelection of the right supplier potentially allows a company to get the right raw materials, repairs and consumption on board, including parts, stores, bunkers and lubricators in the right quantity and at the right price at the right time
Picking a supplier is a difficult task for any maritime enterprise
Costs are considered to be the most important criterion, as maritime enterprises operate in highly competitive markets, and for the consumer it is the final cost of proposed service that becomes the decisive factor
Summary
Selection of the right supplier potentially allows a company to get the right raw materials, repairs and consumption on board, including parts, stores, bunkers and lubricators in the right quantity and at the right price at the right time. This task requires decisions based on multi-criteria qualitative and quantitative analysis of suppliers and the use of additional methods of data processing for more accurate and flexible evaluation of the supplier. As a result of the algorithm of actions given in the article, all important qualities necessary for suppliers are selected, according to the needs of the consumer company, and the obtained data are further processed.
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