1st TERRE School - Napoli, September 2016

Decision Support Systems to assist engineering design

Angel Priegue CIMNE, Spain

WHAT IS A DSS?

DSS: Decision Support Systems

A Decision Support System (DSS) is a computer-based

information system that supports decision-making

activities.

DSSs serve the management, operations, and planning

levels of an operation and help people make decisions

about problems that may be rapidly changing and not

easily specified in advance.

Examples:

• Risk prevention and emergency management in floods.

• Monitoring and management of marine dumping.

• Structural evaluation of buildings.

• Services network design in residential areas.

• Municipal energetic management.

Decision Making

In general, we can say that a DSS is a computersystem used to provide support, rather thanautomate the process of decision making

DSS Concept

Supporting a decision means helping people workingalone or in groups to gather intelligence, generatealternatives and make decisions.

"An information system based on an interactive computer,flexible and adaptable, specially developed to support thesolution of a management problem not structured to improvedecision-making. It uses data, provides a friendly interface andallows decision-making in the own analysis of the situation "

DSS Concept

DSS Characteristics

Dynamic, flexible and interactive reports,

so that the user does not adhere to the predefined lists that were set at the time of implantation, and do not always respond to their real questions.

The database management system stores information fromvarious sources, may come from data repositories of atraditional organization, from external sources (like theInternet), or staff (of ideas and experiences of individualusers).

DSS Characteristics

Data integration involves combining data residingin different sources and providing users with aunified view of these data. This process is veryimportant in the development of DSS.

DSS Characteristics

Fast response time. The underlying database isusually a huge data. Such databases are optimizedfor analyzing large volumes of information.

DSS Characteristics

No technical knowledge required. A non-technical usercan create new charts and reports and navigate betweenthem by drag & drop or drill through. Therefore to examinethe information available or create new metrics is notimperative to seek help in the computer sciencedepartment.

DSS Characteristics

Each user has adequate information to theirprofile. It is not that everyone has access to all theinformation, but you have access to the informationyou need to make your work as efficient as possible.

DSS Characteristics

The development of a DSS should use a very iterative approach. Thiswill allow the application to be changed and redesigned at variousintervals. The initial problem is used to design the system and then itis tested and reviewed to ensure that the desired result is achieved.

• DSSs are introduced after having implemented the transactional systems.

• The information generated provides support for middle managementand senior management in decision-making.

• Systems are often interactive and user-friendly information with highstandards of graphic and visual design, are directed to the end user

DSS Development

DSS specific

Actual application that will be used by the user. This isthe part of the application that allows makingdecisions in a particular problem. The user can act onthis particular problem.

Types of DSS

DSS generator

This level contains hardware and softwareenvironment that allows people to easily developspecific DSS applications. This level makes use ofCASE tools. It also includes special programminglanguages, function libraries and linked modules.

Types of DSS

Historical DSS

In these systems it is on the agenda comparecurrent data with information from other historicalperiods of the company, in order to analyze trends,setting the evolution of business parameters ... etc.

Types of DSS

DSS TECHNOLOGIES

DSS: Decision Support Systems

Decision Support Systems can be either fullycomputerized, human-powered or a combination ofboth and often include the integration of softwaretechnologies such as Sensor Networks, GIS, DataMining, Numerical Analysis and Artificial Intelligence.

Sensor Networks

Sensors work with each other tosense some physical phenomenonand then the information gathered isprocessed to get relevant results.

• Wireless Sensor Networks arenetworks that consists of sensorswhich are distributed in an ad hocmanner.

• Wireless sensor networks consists ofprotocols and algorithms with self-organizing capabilities.

20Introduction to Wireless Sensor Networks

Wireless Sensor Networks

Geographical Information Systems (GIS)

Map Viewers

Georeferencing.

Friendly style graphical interface.

Integration with numerical and simulation programs.

• Advanced Cartography

• Coustomizable Interface

• Dinamic Layers

• Thematic Maps.

• Zoom, Pan and Information

Numerical Analysis

Artificial Intelligence is the part of science

that deals with the design of systems of

intelligent computing, ie, systems that exhibit

the characteristics we associate with

intelligence in human behavior that refers to

language comprehension, learning,

reasoning, problem solving, among others.

Artificial Intelligence is a science that tries to

create programs for machines that mimic

human behavior and understanding.

Artificial Inteligence

• Neuronal Networks

• Smart Agents

• Data Mining

• Machine Learning

OLAP tools enable users to analyze multidimensional datainteractively from multiple perspectives. OLAP consists of threebasic analytical operations: consolidation (roll-up), drill-down,and slicing and dicing. Consolidation involves the aggregation ofdata that can be accumulated and computed in one or moredimensions.

Data Mining

USE CASES

RAMFLOOD - Decision Support System for Risk Assessment and Management of Floods

RAMFLOOD - Concept

RAMFLOOD - Benefits

RAMFLOOD - Technology

DSS for the risk assessment and

management of the negative impacts

caused by human activities on the

water/sediment/soil system in fluvial

ecosystems.

RAMWASS - Risk Assessment Model of the Water-Sediment-Soil

RAMWASS - Showcases

Environmental Monitoring

SITIB

Environmental DSS for

beaches. It lets you know

the weather, the state of

the beaches and services

in order to choose the best

beach to enjoy.

Weather Stations and buoy system combined with GIS technology (Geographic Information System) for application to control and real time monitoring of geographical, meteorological, environmental, healthcare and tourism data, with particular attention to the dissemination of environmental alerts (eg. jellyfish , discharges, temporary, ..).

Maritime DSS platforms with AIS technology : AIDMAR y MaTCO

Monitoring and control maritime vessels: system alerts and reports against ILLEGAL, SPILL, bank MEDUSAS and

PIRACY.

Environmental Monitoring

Test methods, installation of sensors (inclinometers, corrosion, etc.) and tools that allow better control of the placing and the life cycle of port infrastructure (Langosteira - A Coruña) and predicting their behavior long term.

DYNAPORT

Structural Monitoring

DESURBS

Urban Resilience

E-TESTING

Development of a DSS distributed over the Internet for laboratory

tests in aerospace integrating intelligent sensor networks

ClientTest Lab e-Testing

Losa de carga de 12x12 metros

Máquina de 15 MN servidor Webadquisición datos

video IP

sensores inalambricos

· Datos en tiempo real· Descarga de informes· Acceso histórico datos· Sistema de alarmas

(SSL)

Aeronautics Testing

DOTNAC: Development and Optimization of THz NDT on Aeronautics Composite Multi-layered Structures

Aeronautics Testing

Logistics and Transport

MOS4MOS/WIDERMOS: Monitoring And Operation Services For Motorways Of The Sea

Partners:

• Work Package 4 – Operational and Design

tools

• Develop Decision Support System for geo-

infrastructure carbon-driven project appraisal

• ESR15 (PhD awarded by CIMNE with secondment to

industrial beneficiary Kempfert Geotechnik GmbH)

Rahmat Kazemi will join you soon!

Thank you!