Examples of Key Data

Performance Indicators
for wastewater services as part of Benchmarking
in Germany
- a short overview –
VI-05-09
A. Schulz, Essen
VI-05-09
Introduction
Introduction
• Since 1996/7 the adoption of Benchmarking methods has been
developed for Wastewater services in Germany
• starting points were initiatives of corporations to get a management
tool for improvement by learning from other organisations. As a
result confidential „process benchmarking“ got highest priority
- to identify processes to be improved,
- to simplify participation for small organisations and
- to allow a broad overview with a lot of participants in a project
• comparison on organisations level („corporate benchmarking“) has
been added
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• Today first steps were made on the level of river basins (according to
the realisation of WFD)
Introduction
• DWA and DVGW committed about „state of the art“
• The german associations ATT, BDEW, DBVW, DVGW, DWA and
VKU committed in a common statement on Benchmarking in the
water sector about
the way how to do benchmarking,
the objectives of benchmarking,
how to deal with benchmarking data and
how to report publicly (Profile of the german water industry)
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•
•
•
•
Introduction
• To support undertakings DWA and DVGW published a common
topic paper
„Guideline Benchmarking for water and wastewater undertakings“
• To support the development of compatible systems DWA
published a topic paper
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„Corporate Benchmarking as Component of Modernisation
Strategy- Performance Indicators and Evaluation Principles“
Introduction
OPERATIONS & MAINTENANCE COMMITTEE
Chairman: Francisco Cubillo
Canal de Isabel II
Calle Santa Engracia 125
28003 Madrid - Spain
Tel.: +34 914 45 1000
Fax: + 34 914 47 9393
E-mail: [email protected]
InternationalWater
Association
Secretary: Enrique Cabrera Jr.
Instituto Tecnológico del Agua
Universidad Politécnica de Valencia
Apdo. 22012
46071 Valencia - Spain
Tel: +34 96 387 98 98
Fax: +34 96 387 98 99
E-mail: [email protected]
remark:
The german work
has been done with
regard to the PIsystem of IWA!
PERFORMANCE INDICATORS
FOR WASTEWATER SERVICES
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Rafaela Matos, Adriana Cardoso, Richard Ashley,
Patrícia Duarte, Alejo Molinari, Andreas Schulz
Consensus on Benchmarking
Part of the modernisation strategy of Federal Government
Basis:
Consensus of the 6 signees of the
statement of associations in 2005
(u.a.:
- „The associations … convey …
broadly effective implementation“
fields of work:
Advisory Leaflet M1100, Guideline,
Profile of the German Water Industry,
Performance Indicators and
Evaluation Principles,
Support for Benchmarking Projects in
the Federal States
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- „… the association will report …
regulary … aggregated and
anonymously profile.“)
Consensus on Benchmarking
Part of the modernisation strategy of Federal Government
Guideline
Benchmarking for
Water and
Wastewater
Undertakings
Profile
of the German Water
Industry (1)
200
5/
200
8
/ (20
11)
(1) avaliable in english
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Statement
of the Assossiations
of the Water
Industry on
Benchmarking in the
Water Sector (1)
Advisory Leaflet
Benchmarking in
Water and
Wastewater Service
Consensus on Benchmarking
Part of the modernisation strategy of Federal Government
DWA-Topics
Corporate Benchmarking as
Component of the
Modernisation Strategy –
Performance Indicators and
Evaluation Principles (1)
200
8
/ (20
11)
(1) avaliable in english
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200
5/
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DWA- „PI-Project“
Project / objectives
- Enhance the participation in Benchmarking especially for small and medium
organisations
- Support the description of efficiency of wastewater services
=> Contribution to voluntary Benchmarking
=> Contribution to the development of the
Profile of the Water Industry
(aggregated, anonymous, broadly implemented)
[DWA 2008] Corporate Benchmarking … – Performance Indicators and
Evaluation Principles
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supported by:
DWA working-group WI.00.1 „Benchmarking“
elaborated by:
aquabench GmbH, Köln
confideon Unternehmensberatung GmbH, Berlin
Project
Idea:
- Development of Key PI‘s with respect to existing PI-Systems (e.g. IWA)
- Possibility of Integration in a Profile of the Water Industry
- Use of the five pillars Security, Quality, …
- Explanation of Key PI‘s by Context Informations/Relationships
- realistic amount of work for data collection
(should not be much more than a medium of 2 days)
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- presentation of an example for a PI-System according to the requirements
[DWA 2008]
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Process model
Integration
of different estimation levels
Prozessmodell
Process
model Gesamtorganisation
total organisation
Technik
Technoloy
Verwaltung
Administration
Transport, Netz
Transport Net
Personal-H
HRM
wsen
ConBau
Betrieb
Factory
structions
Planung
Planning
Comparison of PI‘s on corporation level
To determine differences
Abweichungen
vom
from Benchmark
To generate an explanatory approach
To
Relevante
identifyProzesse
relevant processess
für detaillierte
forBetrachtungen
detailed views
Commercial
Kaufm
.
Aufgaben
tasks
Instandhaltung
Maintenance
Benchmarking auf
Prozessebene
on process
level
Anschluss
To
set up an
einrichten
access
To
examine
relevanteuntersuchen
processes
Relevante
Prozesse
Potenziale
To
determine
und
potentials
Ursachenand
ermitteln
reasons
Customer
Kunden-
To
derivate measures
Maßnahmen
ableiten
auftrag
order
To register
time
-,i Zeit
Kosten-,
Zeitand costs
erfassung
Adittion
Ergänzung
Planning
Planwerk
IImplementing
etc.
Job
Arbeitspreparation
vorbereitung
To
make
TerminTermin
appointments
Vereinbarung
vereinbarung
Work
sheduling
Arbeitsplanung
New
Neuanschluss
connection
To carry
out work
Arbeit
ausführen
Ein- up
Set
access
A
Ans
Anschluss
Umsetzung der Maßnahmen
Implementation
of measures
Control of success by repeated
Comparison of key data or Benchmarking
[DWA / DVGW 2008]
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Control of implementation
[DWA 2008]
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Cost types structure
Reference parameters
[DWA 2008]
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for expenditure and cost considerations
Characteristics
[DWA 2008]
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for the assessment of the efficiency of water supply and
wastewater disposal
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Example of a Performance Indicator
system
according to the requirements
Characteristics
for the assessment of the efficiency of water supply and
wastewater disposal
KNA …
KKA …
Customer Service
Systematic of abbreviations
KTA …
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K…A …
Sustainability
KQA …
Quality
KSA …
Reliability
Economic efficiency
Structure
/ Technology
Struktur/Technik
Nachhaltigkeit
Kundenservice
Sicherheit
Wirtschaftlichkeit
Qualität
KWA …
=> „Five Pillar Model“
Examples of Key Data
Structure / Technology
KTA15 Population density disposal area [I/km²]
KTA30 Specific overall sewer length [m/I]
KTA75 Proportion of industrial wastewater [%]
KTA85 Proportion of amount of sludge utilised agriculturally [%]
Customer Service
KKA10 Complaints about wastewater disposal per service connection [Number/DC]
[DWA 2008]
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Sustainability
KNA55 Conservation of value ratio (rehabilitation and maintenance ratio)
wastewater collection and transport [%]
KNA70 Specific energy consumption wastewater disposal [kWh/PT]
KNA85 Energy production rate [%]
Examples of Key Data
Quality
KQA05 Treatment performance Ntot [%]
KQA30 infiltration water ratio [%]
Safety
KSA01 Average sewer age [a]
KSA15 85 % percentile degree of utilisation wastewater treatment plants [%]
[DWA 2008]
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Economic Efficiency
KWA01 Specific total expenditure wastewater disposal [€/PT]
KWA35 Specific capital costs wastewater disposal [€/PT]
KWA55 Specific total revenues wastewater disposal [€/PT]
KWA70 Cost coverage (EU WFD) wastewater disposal [%]
[DWA 2008]
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Examples of Key Data
[DWA 2008]
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Examples of Key Data
[DWA 2008]
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Examples of Key Data
[DWA 2008]
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Examples of Key Data
[DWA 2008]
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Examples of Key Data
[DWA 2008]
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Examples of Key Data
[DWA 2008]
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Examples of Key Data
[DWA 2008]
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Examples of Key Data
[DWA 2008]
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Examples of Key Data
[DWA 2008]
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Examples of Key Data
[DWA 2008]
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Examples of Key Data
[DWA 2008]
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Examples of Key Data
[DWA 2008]
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Examples of Key Data
[DWA 2008]
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Examples of Key Data
[DWA 2008]
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Examples of Key Data
[DWA 2008]
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Examples of Key Data
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Verification
Verification (1):
Pilot Project
Pilot Project
Baden-Württemberg:
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first data collection and
evaluation successfull finished,
(presentation of results
on 19.02.2008)
Verification (2):
Example Projectreport NRW
[Hrsg: DWA NRW , StT NRW, StGb NRW, agw]
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Anonymus, aggregated use of data in public reports
Verification (2):
Example Projectreport NRW
[Hrsg: DWA NRW , StT NRW, StGb NRW, agw]
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Anonymus, aggregated use of data in public reports
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Status
Status
statewide benchmarkingprojects in wastewater
disposal
SchleswigHolstein
Hamburg
Hamburg
MecklenburgVorpommern
Berlin
Bremen
Bremen
Niedersachsen
Berlin
Brandenburg
Sachsen-Anhalt
Nordrhein-Westfalen
Sachsen
PI-Project)
Hessen
Thüringen
Rheinland
-Pfalz
Saarland
Bayern
BadenWürttemberg
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(pilot for DWA
Status
statewide benchmarkingprojects in wastewater
disposal
SchleswigHolstein
MecklenburgVorpommern
Hamburg
Hamburg
Berlin
Bremen
Bremen
Niedersachsen
NordrheinWestfalen
Hessen
Berlin
Brandenburg
Sachsen-Anhalt
/ 200
8
Sachsen
Thüringen
Rheinland
-Pfalz
Saarland
Bayern
VI-05-09
BadenWürttemberg
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Outlook
Outlook
complete
statewide benchmarkingprojects in wastewater
disposal
SchleswigHolstein
MecklenburgVorpommern
Hamburg
Hamburg
Berlin
Bremen
Bremen
Niedersachsen
NordrheinWestfalen
Hessen
Berlin
Brandenburg
Sachsen-Anhalt
Sachsen
Thüringen
???
Rheinland
-Pfalz
Saarland
Bayern
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BadenWürttemberg
Outlook
further development
of the Profile of the
German Water Industry
SchleswigHolstein
Hamburg
Hamburg
MecklenburgVorpommern
Bremen
Bremen
Niedersachsen
Berlin
Brandenburg
/ 20
08
/ 201
1
Sachsen-Anhalt
Nordrhein-Westfalen
Sachsen
Hessen
Thüringen
RheinlandPfalz
Saarland
Bayern
VI-05-09
BadenWürttemberg
Outlook
SchleswigHolstein
MecklenburgVorpommern
Hamburg
Hamburg
Berlin
Bremen
Bremen
Niedersachsen
Berlin
complete the tools
Brandenburg
Sachsen-Anhalt
Nordrheinfor the processes
where
necessary
Westfalen
Sachsen
Hessen
Thüringen
Rheinland
-Pfalz
Saarland
Bayern
VI-05-09
BadenWürttemberg
Integration
of different estimation levels
Complete the comparison on River basin level
Prozessmodell
Process
model Gesamtorganisation
total organisation
Administration
Verwaltung
Technik
Technoloy
Transport, Netz Net
Transport
Planning
Planung
Processes
ConBau
structions
Personal
HRM wsen
Betrieb Maintenance
Factory
Instandhaltung
Benchmarking auf
Prozessebene
on process
level
Anschluss
To
set up an
einrichten
access
To register
time
Kosten
-, Zeit
-,i
and costs
erfassung
Adittion
Ergänzung
Planning
Planwerk
IImplementing
etc.
To carryausführen
out work
Arbeit
Arbeits
Job Preparation
vorbereitung
To make
Termin
Appointments
vereinbarun
New
Neu
connection
anschluss
Work
sheduling
Arbeitsplanung
Customer
Kunden
order
auftrag
Subprocesses
Commercial
Kaufm.
tasks
To determine differences
Abweichungen
vom
from Benchmark
To generate an explanatory approach
To identify relevant processess for detailed
views
Set
Ein- up
access
Anschluss
A
Ans
Relevante
Prozesse
To examine
relevanteuntersuchen
processes
Potenziale
To
determine
und
potentials
Ursachenand
ermitteln
reasons
Maßnahmen
ableiten
To
derivate measures
Umsetzung der Maßnahmen
Implementation
of measures
Control of success by repeated
Comparison of key data or Benchmarking
[A.Schulz; J.Stemplewski, Amsterdam 2009]
Control of implementation
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Corporation
Comparison of PI‘s on corporation level
Integration
of different estimation levels
River
basins
Process Model Management of River Basins
Main Process 2
Main Process 1
Subprocess 1
Main Process 3
…
Comparison of
performance indicators on
the level of river basins
Subprocess 1
Subprocess 2
Prozessmodell
Process
model Gesamtorganisation
total organisation
Administration
Verwaltung
Technik
Technoloy
Transport, Netz Net
Transport
Planning
Planung
Processes
ConBau
structions
Personal
HRM wsen
Betrieb Maintenance
Factory
Instandhaltung
Benchmarking auf
Prozessebene
on process
level
Anschluss
To
set up an
einrichten
access
To register
time
Kosten
-, Zeit
-,i
and costs
erfassung
Adittion
Ergänzung
Planning
Planwerk
IImplementing
etc.
To carryausführen
out work
Arbeit
Arbeits
Job Preparation
vorbereitung
To make
Termin
Appointments
vereinbarun
New
Neu
connection
anschluss
Work
sheduling
Arbeitsplanung
Customer
Kunden
order
auftrag
Subprocesses
Commercial
Kaufm.
tasks
To determine differences
Abweichungen
vom
from Benchmark
To generate an explanatory approach
To identify relevant processess for detailed
views
Set
Ein- up
access
Anschluss
A
Ans
Relevante
Prozesse
To examine
relevanteuntersuchen
processes
Potenziale
To
determine
und
potentials
Ursachenand
ermitteln
reasons
Maßnahmen
ableiten
To
derivate measures
Umsetzung der Maßnahmen
Implementation
of measures
Control of success by repeated
Comparison of key data or Benchmarking
[A.Schulz; J.Stemplewski, Amsterdam 2009]
Control of implementation
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Corporation
Comparison of PI‘s on corporation level
Outlook
SchleswigHolstein
Mecklenburgsupport
Hamburg
Vorpommern
Hamburg
Berlin
European
benchmarking-projects
Bremen / international
Niedersachsen
Bremen
Berlin
Brandenburg
in wastewater
disposal
Sachsen-Anhalt
NordrheinWestfalen
Sachsen
on process and onThüringen
corporate
level
Hessen
Rheinland
-Pfalz
Saarland
Bayern
VI-05-09
BadenWürttemberg