CAREB Computer Aided Real Estate Benchmarking for long-term care facilities

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Kufstein University of Applied Sciences, Tyrol. ERES Conference 2009 Stockholm. CAREB Computer Aided Real Estate Benchmarking for long-term care facilities. Madritsch Thomas - PowerPoint PPT Presentation

Transcript of CAREB Computer Aided Real Estate Benchmarking for long-term care facilities

CAREB Computer Aided Real Estate Benchmarking

for long-term care facilities

Kufstein University of Applied Sciences, Tyrol

ERES Conference 2009 StockholmERES Conference 2009 Stockholm

Madritsch ThomasInternational Benchmarking Institute, University of Applied Sciences FH KufsteinTirol, Austria;

University for Health Sciences, Medical Informatics and Technology, UMIT-HALL, Austria

16.01.2009

© Thomas.Madritsch@hsk-edu.atERES 2009 Stockholm

Research designBest Practice – Analysis of operating costs in long term care

facilities

Survey: Operating costs of long term care facilities in Austria

Analysis Tool: Computer Aided Real Estate Benchmarking CAREB

Aims: Identification cost driversDetection of optimizing potential – best caseImplementation of Benchmarking as Management Tool

16.01.2009

© Thomas.Madritsch@hsk-edu.atERES 2009 Stockholm

Relevance of operating cost in LTC

19% operating cost (Facility Management)

16.01.2009

© Thomas.Madritsch@hsk-edu.atERES 2009 Stockholm

Is there room for Improvement?

Identical Cleaning Costs

(~EUR 250.000.- p.a.)

Net external Area sqm

T

ota

l C

lean

ing

Costs

Collected data of 18 long-term care facilities Building 1: 4.000sqm Building 2: 10.000sqm

16.01.2009

© Thomas.Madritsch@hsk-edu.atERES 2009 Stockholm

Benchmarking: The “IBI”-ApproachData collection

Data collection: Benchmarking Partner Benchmarking Platform

Important issues: Consistent definitions

costs, floor area, cluster attributes, etc. Current data

volatile energy prices, inflation, etc. need of new data Comprehensive data collection

to allow cluster attributes & differentreference figures

16.01.2009

© Thomas.Madritsch@hsk-edu.atERES 2009 Stockholm

Benchmarking: The “IBI”-ApproachData harmonisation/ plausibilisation

Detection of outliers within using statistics Explanation of Outliers Usage of data from just one source

16.01.2009

© Thomas.Madritsch@hsk-edu.atERES 2009 Stockholm

CAREB: Benchmarking tool

Performance – Matrix of individual

properties

16.01.2009

© Thomas.Madritsch@hsk-edu.atERES 2009 Stockholm

Benchmarking: The “IBI”-ApproachKey figure calculation & data analysis

Judging the own performance based on a holistic view

…bring more key figures into one chart…

Costs per sqmCosts per bed

16.01.2009

© Thomas.Madritsch@hsk-edu.atERES 2009 Stockholm

Benchmarking: The “IBI”-ApproachKey figure calculation & data analysis

Judging the own performance based on a holistic view …bring more key figures into one chart…

€/sqm

€/bed

€/resident

16.01.2009

© Thomas.Madritsch@hsk-edu.atERES 2009 Stockholm

Modellising Data - Clustering

1.) Clustering own Buildings 2.) Clustering reference Buildings

Benchmarking: The “IBI”-ApproachClustering

16.01.2009

© Thomas.Madritsch@hsk-edu.atERES 2009 Stockholm

Modellising Data - Clustering

Benchmarking: The “IBI”-Approach Clustering

16.01.2009

© Thomas.Madritsch@hsk-edu.atERES 2009 Stockholm

Operating costs depending on utilization planning

Higher amount of single rooms entails higher cleaning- and operating cost

Cleaning cost depending on utilization planning

Benchmarking: The “IBI”-ApproachStep 4: Derivation of Actions

16.01.2009

© Thomas.Madritsch@hsk-edu.atERES 2009 Stockholm

Modellising Data - Clustering1.) Clustering own Buildings 2.) Clustering reference Buildings

Benchmarking: The “IBI”-Approach Clustering New Way

16.01.2009

© Thomas.Madritsch@hsk-edu.atERES 2009 Stockholm

Modellising data – learning from the best

?

Benchmarking: The “IBI”-Approach Clustering New Way

16.01.2009

© Thomas.Madritsch@hsk-edu.atERES 2009 Stockholm

Benchmarking: The “IBI”-ApproachStep 4: Derivation of Actions

From PowerPoint to EBIT

16.01.2009

© Thomas.Madritsch@hsk-edu.atERES 2009 Stockholm

Benchmarks do not accord to the actual data

Benchmarks do not correct side effects

0 age

EUR/m²

30 60

μi

Benchmarking Future: The virtual Building -Simulation

0 age

EUR/m² μ

i

30 60

μ

Ceteris paribus simulation leads

to a higher comparability!

Thank you for your Attention!

Thomas.Madritsch@hsk-edu.at

Contact:Immobilien Benchmarking Institut IBIFachhochschule KufsteinAndreas Hofer Straße 76330 Kufsteinwww.immobilien-benchmarking.at