A Quantitative Analysis About Optimization of Number of Employees and Rebalancing Workload

Yılmaz Gökşen (), Osman Pala () and Mustafa Ünlü ()
Additional contact information
Yılmaz Gökşen: Dokuz Eylül University
Osman Pala: Dokuz Eylül University
Mustafa Ünlü: Dokuz Eylül University

A chapter in Economic and Financial Challenges for Eastern Europe, 2019, pp 525-543 from Springer

Abstract: Abstract In an organization, the workload of the employees is very important in terms of efficiency and motivation toward work. Workloads must be at the same level as employees can achieve. In the study, a large faculty of one of Turkey’s leading universities was selected as a pilot. There are 25 different business units and 92 employees in the faculty. AHP and LP are preferred as models. With AHP, utility values ​​of employees in each job type are calculated separately for 25 job types. The obtained utility values ​​are assigned as the objective function coefficients of the decision variables of the LP model. Three different LP models were obtained and solved to obtain optimal workload values. According to the results of three different models, the manager will be able to complete the missing workloads of the employees from different units.

Keywords: Workload of the employees; AHP and LP; MCDM (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:spr:prbchp:978-3-030-12169-3_35

Ordering information: This item can be ordered from
http://www.springer.com/9783030121693

DOI: 10.1007/978-3-030-12169-3_35

Access Statistics for this chapter

More chapters in Springer Proceedings in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().