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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
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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
© [email protected] 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
© [email protected] 2009 Stockholm
Relevance of operating cost in LTC
19% operating cost (Facility Management)
16.01.2009
© [email protected] 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
© [email protected] 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
© [email protected] 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
© [email protected] 2009 Stockholm
CAREB: Benchmarking tool
Performance – Matrix of individual
properties
16.01.2009
© [email protected] 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
© [email protected] 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
© [email protected] 2009 Stockholm
Modellising Data - Clustering
1.) Clustering own Buildings 2.) Clustering reference Buildings
Benchmarking: The “IBI”-ApproachClustering
16.01.2009
© [email protected] 2009 Stockholm
Modellising Data - Clustering
Benchmarking: The “IBI”-Approach Clustering
16.01.2009
© [email protected] 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
© [email protected] 2009 Stockholm
Modellising Data - Clustering1.) Clustering own Buildings 2.) Clustering reference Buildings
Benchmarking: The “IBI”-Approach Clustering New Way
16.01.2009
© [email protected] 2009 Stockholm
Modellising data – learning from the best
?
Benchmarking: The “IBI”-Approach Clustering New Way
16.01.2009
© [email protected] 2009 Stockholm
Benchmarking: The “IBI”-ApproachStep 4: Derivation of Actions
From PowerPoint to EBIT
16.01.2009
© [email protected] 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!
Contact:Immobilien Benchmarking Institut IBIFachhochschule KufsteinAndreas Hofer Straße 76330 Kufsteinwww.immobilien-benchmarking.at
