EconPapers    
Economics at your fingertips  
 

Workforce management based on forecasted demand

Bernardetta Addis (), Roberto Aringhieri (), Giuliana Carello (), Andrea Grosso () and Francesco Maffioli ()
Additional contact information
Bernardetta Addis: Università degli Studi di Torino
Roberto Aringhieri: Università degli Studi di Torino
Giuliana Carello: Politecnico di Milano
Andrea Grosso: Università degli Studi di Torino
Francesco Maffioli: Politecnico di Milano

Chapter Chapter 1 in Advanced Decision Making Methods Applied to Health Care, 2012, pp 1-11 from Springer

Abstract: Abstract Health care delivery has a dramatic impact on the quality of life of every community. Hence, in the past years in many countries, a great effort has been spent in order to rationalize the management of limited resources, such as operating rooms, ambulances or workforce. Nevertheless, to the best of our knowledge, the idea of using demand for driving the workforce optimization process has received little attention in the literature. In this work we address the problem of managing workforce taking into account forecasted demand. We focus on the management of the operators working at the Operations Center of the Emergency Medical Service of Milano, Italy, for which a huge amount of accurate data is available.

Keywords: workforce management; forecasted demand; optimization; emergency medical service (search for similar items in EconPapers)
Date: 2012
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:isochp:978-88-470-2321-5_1

Ordering information: This item can be ordered from
http://www.springer.com/9788847023215

DOI: 10.1007/978-88-470-2321-5_1

Access Statistics for this chapter

More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:isochp:978-88-470-2321-5_1