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Naslov:Advancements in data analysis for the work-sampling method
Avtorji:ID Buchmeister, Borut (Avtor)
ID Vujica-Herzog, Nataša (Avtor)
Datoteke:.pdf algorithms-17-00183.pdf (2,19 MB)
MD5: E65DF51DAF1CB27B79E999385928215C
 
URL https://www.mdpi.com/1999-4893/17/5/183
 
Jezik:Angleški jezik
Vrsta gradiva:Članek v reviji
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FS - Fakulteta za strojništvo
Opis:The work-sampling method makes it possible to gain valuable insights into what is happening in production systems. Work sampling is a process used to estimate the proportion of shift time that workers (or machines) spend on different activities (within productive work or losses). It is estimated based on enough random observations of activities over a selected period. When workplace operations do not have short cycle times or high repetition rates, the use of such a statistical technique is necessary because the labor sampling data can provide information that can be used to set standards. The work-sampling procedure is well standardized, but additional contributions are possible when evaluating the observations. In this paper, we present our contribution to improving the decision-making process based on work-sampling data. We introduce a correlation comparison of the measured hourly shares of all activities in pairs to check whether there are mutual connections or to uncover hidden connections between activities. The results allow for easier decision-making (conclusions) regarding the influence of the selected activities on the triggering of the others. With the additional calculation method, we can uncover behavioral patterns that would have been overlooked with the basic method. This leads to improved efficiency and productivity of the production system.
Ključne besede:work sampling, observations, analysis, proportions, correlations, interdependence between activities
Status publikacije:Objavljeno
Verzija publikacije:Objavljena publikacija
Poslano v recenzijo:31.03.2024
Datum sprejetja članka:28.04.2024
Datum objave:29.04.2024
Založnik:MDPI
Leto izida:2024
Št. strani:17 str.
Številčenje:Vol. 17, iss. 5
PID:20.500.12556/DKUM-88538 Novo okno
UDK:658.5.018.2:005.6
COBISS.SI-ID:194880259 Novo okno
DOI:10.3390/a17050183 Novo okno
ISSN pri članku:1999-4893
Avtorske pravice:© 2024 by the authors
Datum objave v DKUM:09.05.2024
Število ogledov:392
Število prenosov:41
Metapodatki:XML DC-XML DC-RDF
Področja:Ostalo
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Vaša ocena:Ocenjevanje je dovoljeno samo prijavljenim uporabnikom.
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Gradivo je del revije

Naslov:Algorithms
Skrajšan naslov:Algorithms
Založnik:MDPI
ISSN:1999-4893
COBISS.SI-ID:517501977 Novo okno

Gradivo je financirano iz projekta

Financer:ARIS - Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije
Številka projekta:P2-0190-2018
Naslov:Napredni koncepti menedžmenta proizvodnje in dimenzionalnega meroslovja

Financer:the Republic of Slovenia, the Ministry of Education, Science and Sport, and the European Union
Program financ.:the European Regional Development Fund
Naslov:Upgrading national research infrastructures — RIUM

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:metoda naključnih posnetkov, aktivnosti, analize, razmerja, korelacije, soodvisnost med dejavnostmi


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