Next Article in Journal
Enhanced Multiple-Object Tracking Using Delay Processing and Binary-Channel Verification
Previous Article in Journal
A Deep-Learning-Based Vehicle Detection Approach for Insufficient and Nighttime Illumination Conditions
Open AccessArticle

Application of Logistic Regression for Production Machinery Efficiency Evaluation

Faculty of Security, Logistics and Management, Military University of Technology, 00-908 Warszawa, Poland
*
Author to whom correspondence should be addressed.
Appl. Sci. 2019, 9(22), 4770; https://doi.org/10.3390/app9224770
Received: 11 October 2019 / Revised: 4 November 2019 / Accepted: 5 November 2019 / Published: 8 November 2019
(This article belongs to the Special Issue Design and Management of Manufacturing Systems)
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. View Full-Text
Keywords: efficiency; production processes; machinery; production maintenance; logistic regression efficiency; production processes; machinery; production maintenance; logistic regression
Show Figures

Figure 1

MDPI and ACS Style

Borucka, A.; Grzelak, M. Application of Logistic Regression for Production Machinery Efficiency Evaluation. Appl. Sci. 2019, 9, 4770.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop