A multi-tool integrated methodology for distributed resource allocation in healthcare

Shao Jen Weng, Teresa Wu, Gerald T. MacKulak, William A. Verdini

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Resource allocation distributes limited resources among activities so as to achieve certain objectives. Either centralised methods or distributed methods can be applied to such problems. Over the last decade, one emerging research effort evident is to investigate distribution methods due to the inherent decentralised nature of many resource allocation problems. These methods are well suited for production and supply network problems where price functions can be easily derived. However, a healthcare system considers not only the cost function, but also the appropriate level of services to the patient which is usually assessed by an efficiency index. Indeed, the potential cost savings to a healthcare institution are much greater if it is operated as efficiently as possible. Thus this paper focuses on how to make distributed resource allocation decisions among several hospitals aiming to achieve better operational efficiency for each hospital. A bi-level framework, termed multi-tool integrated methodology (MTIM) is proposed. The experimental results indicate that the MTIM is able to locate an optimal staffing configuration for each emergency room from different hospitals which achieves high operational efficiency within the available budget defined by the headquarter.

Original languageEnglish (US)
Pages (from-to)428-452
Number of pages25
JournalInternational Journal of Industrial and Systems Engineering
Volume11
Issue number4
DOIs
StatePublished - Jun 2012

Keywords

  • DEA
  • Data envelopment analysis
  • Discrete event simulation
  • GA
  • Genetic algorithm
  • Healthcare resource allocation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

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