Models of Centralized Equipment Procurement Based on Supplier-Consumer Matching

Abstract

In the current paper the new approach of organization central purchasing of homogeneous resources was introduced. Resources should have optimal balance between contradicting commercial and technical requirements. Possibility to describe requirements through parameters vector with fuzzy statements and apply fuzzy logic to calculate mapping between fuzzy requirements components values and crisp component values of the characteristics of the alternative resources was explored. As a result, distribution model based on modified transportation problem was developed. Introduced approach can be considered as a basis for creation of automated decision support system for centralize procurement. Potentially it leads to reduction of the procurement process effort, better decisions quality and minimization of the subjective bias while selecting alternative variants. As a case study numeric approbation of the model was presented, and reliability of the distribution resources model has been proved. Future directions of the research were outlined, and practical value of the work was shown.