Optimization model to minimize cost of inpatient bed provision in public hospital

Inaki Maulida Hakim, Dea Ananda Nabila

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Public hospital owned by the government is responsible for providing good healthcare services to the community. In this case, the hospital must carry out its activities efficiently so that it can take advantage of the limited Indonesian government budget. With these financial constraints, planning and allocating efficient inpatient beds as an effort to save on hospital service costs is more challenging. One of the government-owned public hospital located in South Jakarta, Indonesia has not planned and allocated inpatient beds efficiently causing a high cost of inpatient bed provision. So, it is necessary for the hospital to plan and allocate inpatient beds properly. The inpatient care unit consists of adult, child, and obstetrics inpatient units. This research develops an optimization model using the Integer Linear Programming (ILP) method which aims to minimize the cost of providing beds in each inpatient unit. The results showed a reduction in the cost of providing beds with different numbers of beds allocated. Afterwards, the number of nurses needed was also calculated. The results also show a reduction in the number of nurses needed and it saves nurses' costs. The model shows that it can save the total cost up to IDR7,286,400.

Original languageEnglish
Title of host publication2019 the 5th International Conference on Industrial and Business Engineering, ICIBE 2019
PublisherAssociation for Computing Machinery
Pages128-132
Number of pages5
ISBN (Electronic)9781450376532
DOIs
Publication statusPublished - 27 Sept 2019
Event5th International Conference on Industrial and Business Engineering, ICIBE 2019 - Hong Kong, Hong Kong
Duration: 27 Sept 201929 Sept 2019

Publication series

NameACM International Conference Proceeding Series

Conference

Conference5th International Conference on Industrial and Business Engineering, ICIBE 2019
Country/TerritoryHong Kong
CityHong Kong
Period27/09/1929/09/19

Keywords

  • Bed Allocation
  • Cost Optimization
  • Inpatient Care Unit
  • Integer Linear Programming
  • Public Hospital

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