Article ID Journal Published Year Pages File Type
5027581 Procedia Engineering 2017 8 Pages PDF
Abstract
Over the past 30 years, a number of models supporting assessment processes and development of supply chains have emerged. Such models make it possible to analyse the existing state of processes in the supply chain and represent a source of guidance for streamlining these processes. Clear assignment of a certain level of maturity to a given supply chain can be a real challenge, when only part of the criteria for classification is fulfilled. The main scientific purpose of the paper is to propose an advanced statistical non-classical method as an approach to interpreting data from research projects on the supply chain maturity. The method of classification trees has been used and presented in this paper as a tool to achieve reasonable and valuable findings. The procedure of non-classical statistical analysis of the supply chain maturity level in conjunction with an array of variables is intended to standardize the inference on the maturity of supply chains.
Related Topics
Physical Sciences and Engineering Engineering Engineering (General)
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