Embed Size (px)
Citation preview
MARCH 2017, DR. MARKUS HÄUPL
EXTRACTION PROCESS CONTROL & (BIG) DATA MANAGEMENT
STRABAG AT A GLANCE PROCESS CONTROL DATA MANAGEMENT
ENABLING
ENVIRONMENTS
SUPPORTING POLICIES
Page 2 March 2017
1 2 3
4 5
STRABAG AT A GLANCE 1
STRABAG AT A GLANCE
1 March 2017 Page 4
● Output volume 2015: € 14.3 bn
● Net income 2015: € 182 m
● 73,000 employees
● > 700 locations in more than 80 countries
● Highly innovative: Central Technical Division
with over 885 engineers
● Equity ratio: > 30%
● Strong brands: STRABAG & Züblin
● Investment grade rating by S&P: BBB, outlook stable
FACTS & FIGURES MARKETS
OUTPUT VOLUME BY REGION (2015)
Source: www.gtai.de, company information
#2 #1
#1 #1
#2 #1
#2
#1
Saudi
Arabia
Oman Abu Dhabi
Qatar
#3
Colombia
Chile
Germany 44%
Austria 14%
CEE 26%
Rest of Europe
10%
Rest of World
6%
A EUROPEAN-BASED TECHNOLOGY GROUP FOR
CONSTRUCTION SERVICES
„STRABAG is a European-based technology group for construction services,
a leader in innovation and financial strength. We create added value for our
clients by integrating the most diverse services and assuming responsibility
for them: We bring together people, materials and machinery at the right place
and at the right time in order to realise even the complex construction
projects – on schedule, of quality and at the best price.“
1 March 2017 Page 5
DIVERSIFIED SPECTRUM OF ACTIVITIES
Page 6 1
1 North + West: Germany, Poland, Benelux, Scandinavia, Ground and Hydraulic Engineering
2 South + East: Austria, Switzerland, Hungary, Czech Republic, Slovakia, Adriatic, Rest of Europe, Railway Structures, Environmental Technology, Russia and
Neighbouring Countries
3 International + Special Divisions: International, Tunnelling, Services, Real Estate Development, Infrastructure Development, Construction Materials
March 2017
N+W1 S+E² I+S³
Residential Construction ● ●
Commercial and Industrial Facilities ● ● ●
Public Buildings ● ● ●
Production of Prefabricated Elements ● ● ●
Civil Engineering ● ● ●
Bridges ● ● ●
Power Plants ● ● ●
Environmental Technology ●
Railway Structures ● ●
Roads, Earthworks ● ● ●
Waterways ● ●
Landscape Architecture and
Development ● ●
N+W1 S+E² I+S³
Paving ● ● ●
Large-Area Works ● ● ●
Sports and Recreational Facilities ● ●
Protective Structures ● ● ●
Sewer Systems ● ● ●
Production of Construction Materials ● ● ●
Ground Engineering ●
Tunnelling ●
Real Estate Development ● ●
Infrastructure Development ●
Operation/Maintenance/Marketing of
PPP Projects ● ●
Property and Facility Services ●
PRODUCTION OF CONSTRUCTION MATERIAL
STONE/GRAVEL
• In the field of stone/gravel, own cover was 17 %. The number of active production sites was 167.
• With 275 asphalt mixing plants we covered 81 % of our group asphalt needs in 2015.
• With 27 % the supply with concrete from own production came from 146 concrete mixing plants.
• The six cement works covered a slightly smaller portion of our need for this material, with 22 %.
OWN CONSTRUCTION MATERIAL NETWORK IN FISCAL YEAR 2015
ASPHALT CONCRETE
1 Page 7 March 2017
30
million
tonnes
15,6
million
tonnes
3,5
million
m³
146,5
Million
tonnes
3,7
Million
tonnes
9,5
Million
m³
PRODUCTION SITES IN CENTRAL / EASTERN EUROPE
1 Page 8 March 2017
Asphalt mixing plants
Concrete mixing plants
Gravel
Stone
PROCESS
CONTROL
2
BUSINESS ECONOMIC PRODUCTION FACTORS
Page 10 2
March 2017
FACTORS OF PRODUCTION
COMBINATION OF PRODUCTION FACTORS BUSINESS PROCESSES
Page 11 2
March 2017
BUSINESS PROCESS
RAW MATERIAL AND PRODUCTION PLANT: RESOURCES & PRODUCTS
Page 12 2
March 2017
PROCESSES: PRELIMINARY INVENTORY
RAW MATERIAL AND PRODUCTION PLANT: PERSONS, MOBILE UNITS & FACILITIES
Page 13 2
March 2017
PROCESSES: PRELIMINARY INVENTORY
BUSINESS PROCESSES: VALUE-ADDING PROCESSES & PRODUCTION FACTORS
Page 14 2
March 2017
PROCESSES: STRUCTURING
BUSINESS PROCESSES: VALUE-ADDING PROCESSES & PRODUCTION FACTORS
Page 15 2
March 2017
PROCESSES: DETAIL EXTRACTING
BUSINESS PROCESSES: SUB PROCESSES AND PRODUCTION FACTORS
Page 16 2
March 2017
PROCESSES: DETAIL EXTRACTING
BUSINESS PROCESSES: SUB PROCESSES AND PRODUCTION FACTORS
Page 17 2
March 2016
PROCESSES: DETAIL EXTRACTING
BUSINESS PROCESSES: VALUE-ADDING PROCESSES & PRODUCTION FACTORS
Page 18 2
March 2017
PROCESSES: DETAIL HAULING
BUSINESS PROCESSES: COMBINATINO THROUGH PRODUCTION FACTORS
Page 19 2
March 2017
PROCESSES: COMBINATION
Page 20 2
March 2017
PROCESSES: EXAMPLE
Page 21 2
March 2017
PROCESSES: EXAMPLE
TYPICAL OFFICE-WORKPLACE
OFFICE-WORKPLACE SALE, DISPATCHING, DELIVERY NOTES, ACCOUNTING
Page 22 2
March 2017
TRUCK-SELFSERVICE-TERMINAL
WORKPLACE TRUCK SELFSERVICE TERMINAL VS „OFFICE-WORKPLACE“
Page 23 2
March 2017
WHEELLOADER-TERMINAL
WORKPLACE WHEELLOADER-TERMINAL VS „OFFICE-WORKPLACE“
Page 24 2
March 2017
DATA
MANAGEMENT
3
Page 26 3
March 2017
DATA MANAGEMENT AND -ANALYSIS
Data management and –analysis (Knowledge)
Management of all accumulated data and structured assignment to
the process participants
Person
Machine / plant & Energy,
Commodity (= deposit + products)
and their analysis in the context of their interaction within the business
processes (process organisation) as well as their conditions, which are
determined by the organisational structure.
DATA STRUCTURE
Strukturing of the data by Master Data References in terms of
the organisational structure through organisational groups (= divisions / business units)
the organisational departments resp. plants / storage sites in org. unit types
the process organisation by mapping of business processes (= functionality of software)
the process participants (operational types) on business processes / work flows
> People, grouped by functions
> Equipment, grouped by device groups and –typs (= reference devices)
the factors of production, that are consumed / produced within the business processes
> Services – from people excl./incl. devices (reference services)
> Goods – Commodity, supplies, energy (reference article)
the storage of goods, referenced by reference storage sites and storage types
many other defined references within the system (vehicle types, addresses, …)
DATA STRUCTURE: ACCORDING OF COMPANY STRUCTURE VS. BUSINESS PROCESSES
Page 27 3
March 2017
Page 28 3
March 2017
DATA STANDARDS
Master data references – Data standards
Virtual Data Layer – Data References
Establishment of an industry-specific, cross-company, international
(multi-lingualism!) and especially physically distinct (observable)
operating and corporate data structure. These structure allready
represents an operational business process model itself.
Physical data layer:
An assignment of all real operational data towards the virtual data
layer must be possible, the operational data is referenced.
Page 29 3
March 2017
ORGANISATIONAL PYRAMID FOR DATA- & PROCESS ORGANISATION / BUSINESS PROCESSES
Page 30 3
March 2017
ORGANISATIONAL PYRAMID FOR DATA- & PROCESS ORGANISATION / BUSINESS PROCESSES
Grafik: Dr. M. Häupl
STRUCTURED IMPLEMENTATION IN SIMILAR OPERATIONS / PLANTS
SOFTWARETOOL – ERP-SYSTEM
3 Page 31 March 2017
Page 32 3
March 2017
DATA ANALYSIS WITH BI-TOOLS – EXAMPLE 1 OUT OF 3
Transparent analysis of operational
Information and data through a
Business-Intelligence Tool
All Data are available as follows:
> Standardized
> Structured
> Multilingual
> Cross-operational
Definition of a cross-operational
indicator system
Development of an efficient controlling
Painfull analysis in Excel is not a must
any more
Account access controll
Page 33 3
March 2017
DATA ANALYSIS WITH BI-TOOLS – EXAMPLE 2 OUT OF 3
Cross-enterprics analysis
of comparable parameters like
> Energy consumption
- Fuels
- Heating fuels
> Resource consumption
- Spare parts
- Wear parts
> Use of commodities
- Raw material
- Auxiliary material
> Activities
- productiv / non-productiv
- Main-, secondary activities
- Job description
Presentation of information
> Graphic
> Tabular
Page 34 3
March 2017
DATA ANALYSIS WITH BI-TOOLS – EXAMPLE 3 OUT OF 3
Professionell representation of maps:
Site maps
Overview of desposits
Analsysis of ownership
Internationaler graphical comparison of
information by means of geo-referenced
data
Prefabricated standard maps for an
rapid retreaval of data
Maps up to size A0 may be generated
ENABLING
ENVIRONMENTS
4
MAIN ENABLER: TOP MANAGEMENT
Advantages for the management in the following respects:
Company-wide standard for all types of operations
Uniform transnational and inter-enterprise information
Design of an inter-enterprise indicator system
Measures to increase productivity are verifiable
Technical an commercial controlling grow together
An efficient controlling of operations is ensured
STRUCTURED DATA AND PROCESSES: ANDVANTAGES FOR THE MANAGEMENT
Page 36 4
March 2017
SUPPORTING
POLICIES
5
SUPPORTING POLICIES
Following policies had a major impact on the project:
EU Building Products Directive, REGULATION (EU) No 305/2011 OF THE
EUROPEAN PARLIAMENT AND OF THE COUNCIL laying down harmonized
conditions for the marketing of construction products and repealing Council
Directive 89/106 / EEC.
Sample-oriented testing of aggregate grains / grain mixtures within the factory
production control (WPK) according to different product standards, e.g. TL
Gestein, TL SoB, EN 13285, EN 12620, EN 13043, EN 13242, EN 13055, EN
13139, EN 13450, DBS 918 061, DBS 918 062, NVN 6240 (As well as other
country-specific and also freely definable regulations)..
Registration Office Ordinance in Austria
Various laws for fiscalization in Croatia, Hungary, and Slovenia.
Federal Law on Sustainable Waste Management (Abfallwirtschaftsgesetz 2002 -
AWG 2002) StF: Federal Law Gazette I No. 102/2002
Page 38 5
March 2017
STRABAG SE
MARCH 2017
TEAMS WORK.
