Analysis and assessment of productivity in the parquet production by applying the methods of statistical modeling: Case study of selected production system in Serbia
Kalem Miljan, Mitrović Slobodanka, Lazarević Aleksandra
Glasnik Šumarskog Fakulteta: Univerzitet u Beogradu · 2019
doi:10.2298/gsf1920037k (opens in a new tab)
We email you when a new notice or a question about this paper appears.
Abstract
In this paper, researching results of the selected factors’ influence on productivity of parquet production on the example of the selected company in the Republic of Serbia are presented. The analysis has included the influence of the two main factors, dimension and class of parquet quality on productivity. This research has had an aim to determine dependency between the productivity and the mentioned factors, to get corresponding conclusions, to give expert recommendation and to propose suitable management decisions, which would provide an increase in the productivity in the selected company. In order to determine the dependency between the productivity and the mentioned factors, statistical modeling is performed in the program SPSS v.20. Interpretation of the results in the statistical program SPSS, established a strong influence of the analyzed factors on productivity. Statistical significance of the factor dimension influence on productivity is Sig.1= 0.010, while the statistical significance of the parquet class quality factor influence on productivity is Sig. = 0,000. Statistical significance of the factor interaction influence of these factors on productivity is Sig. = 0,028. According to the researching results, it is concluded that parquet productivity depends on the mentioned factors.
Abstract licence: CC BY
Reads
Read by people on this page
None yet.
Checked or read by AI through naulon
None yet.
A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.
Are you an author?
Is this your paper?
Claim it to add your note and be paid when agents cite it. Free.