Application of Logistic Regression for Production Machinery Efficiency Evaluation

Author:

Borucka Anna,Grzelak MałgorzataORCID

Abstract

Production companies operate in a complex economic, technological, social and political environment. There are a number of factors contributing to a satisfactory market position, the most important one being a properly defined and implemented strategy. It needs, however, to be continuously monitored and, if necessary, modified. One of the elements subject to such evaluation is the efficiency of the production processes, which has become the genesis of this article. In response to the methods presented in the literature, a proposal using the logistic regression method for this purpose is presented. The dichotomous form of the dependent variable makes it possible to make such an evaluation in an unambiguous manner and to determine the significance and influence of selected factors on the result thereof.

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Reference37 articles.

1. Economic Analysis of Casing Parts Production in a Flexible Manufacturing System;Świć;Actual Probl. Econ.,2013

2. Reliability analysis of reconfigurable manufacturing system structures using computer simulation methods

3. How to make maintenance processes more efficient using lean tools?;Jasiulewicz-Kaczmarek;Adv. Intell. Syst. Comput.,2017

4. Evaluation measures of machine operation effectiveness in large enterprises: study results

5. Strategic capacity planning for smart production: Decision modeling under demand uncertainty

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