EconPapers    
Economics at your fingertips  
 

ONE MODEL FOR OPTIMAL DISTRIBUTION OF HUMAN RESOURCES FOR DIFFERENT ACTIVITIES

Rosen Nikolaev () and Tanka Milkova ()
Additional contact information
Rosen Nikolaev: University of Economics –Varna, Bulgaria
Tanka Milkova: University of Economics –Varna, Bulgaria

Economic Science, education and the real economy: Development and interactions in the digital age, 2020, issue 1, 253-261

Abstract: In the present paper the human resources distribution problem for carrying various activities in a particularorganisation is examined. An economic-mathematical model is presented, which determines the optimal total productivity considering different individual productiveness of workers and employees during each particular activity. Different options for restrictions and constraints inthe number of human resources distributed for every activity are proposed, as well as forthe number of activities, which can be assigned to one worker or employee.

Keywords: optimisation; human resources; activities (search for similar items in EconPapers)
JEL-codes: C61 (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ue-varna.bg/~uevarna/uploads/filemanager/3 ... _economy_T2_2020.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:vrn:cfdide:y:2020:i:1:p:253-261

Access Statistics for this article

Economic Science, education and the real economy: Development and interactions in the digital age is currently edited by Zoya Mladenova

More articles in Economic Science, education and the real economy: Development and interactions in the digital age from Publishing house Science and Economics Varna Contact information at EDIRC.
Bibliographic data for series maintained by Zoya Mladenova ().

 
Page updated 2025-03-20
Handle: RePEc:vrn:cfdide:y:2020:i:1:p:253-261