Anticipating the length of employees' working time

5Citations
Citations of this article
20Readers
Mendeley users who have this article in their library.

Abstract

Asymmetry of employee productivity is an important issue when planning production work. Estimated time to complete the work depends on many factors, such as employee experience, qualifications, and efficiency of brigades and subcontractors, accidents, unreliable suppliers, material shortages, the need for correction work, fatigue, stress, etc. The paper presents the statistical method-Multivariate Method of Statistical Models-MMSM. It enables the assessment of the impact on the duration of works of its characteristic variables and the prediction of the duration of individual orders. In order to carry out the multi-criteria method (MMSM) analysis, the employees' working time was measured at the newly opened steel structure production plant in Kielce. The results of the analyses clearly show that thanks to the method used, quick and accurate prediction of employees' work efficiency is possible. In the analyzed case, the best forecast was obtained using the method of automatic neural networks, where the MAPE error = 0.02%.

Cite

CITATION STYLE

APA

Kostrzewa-Demczuk, P., & Rogalska, M. (2020). Anticipating the length of employees’ working time. Symmetry, 12(3). https://doi.org/10.3390/sym12030413

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free