Department of Automatic Control and Systems Engineering
University Politehnica of Bucharest
Advances in Service Systems Engineering:
a Modelling and Simulation Approach
Habilitation Thesis
Monica Drăgoicea
May 30, 2016
2
Contents
Thesis style and contents
Application context
Development context
A synthesis of the main contributions
Research roadmap – progress beyond the state-of-the-art
Conclusions
3
Main research topics keywords and time frames:
1993 - 2006: artificial intelligence, neural networks, mobile robotics, intelligent control systems applied in
mobile robotics;
2007 - 2010: real-time systems, model-driven development, requirements engineering, object-oriented
analysis and design;
2010 - 2014: Service Science, service systems, service innovation;
2014 - ...: service systems engineering, smart service design, modelling and simulation based systems
engineering (M&SBSE), agent technology and smart service design, smart transportation systems
4
R&D Topics:
Service Systems
Object Oriented Analysis and Design
Model Driven Development
Fuzzy systems
Mobile Robotics->
Multiagent Systems
Neural Networks
Projects and Grants:
Grant
DAAD
1993 1994 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
Service design - Resource Allocation
Service Systems Modelling
Intelligent Control
Systems
Real-Time Systems and Programming
Service Science (SSME) & Service Innovation
Smart Transportation & Intelligent Transport Systems
RD2-1.Evolution of the STSE process towards a full
development methodology
RD2-2. Computational justice for service systems
modelling
RD3. Resource allocation in service delivery
RD1-1.Agent technology in smart transport systems
design
RD1-2. Artificial Transportation Systems and
"Serious Games“
Multiagent Systems
Expert Systems with Applications,
Simulation: Transactions of the
Society for Modeling and Simulation
International , Journal of Enviromental
Engineering and Management,
International Journal of Artificial
Intelligence, Springer, …
PhD "Contributions
to the Design of
Adaptive
Control Systems
Using Neural
Techniques""
CRIS Project
2010-2011
Grant
CNCSIS AT
Grant
IBM
Faculty Contract CEEX
INSEED Project
2011 - 2013
Ris10
[BDI],
Ris11
[BDI],
Ris12
[BDI],
Rio1,
Vi8,
Vi9, Vn5
Ris5 [BDI],
Ris7 [BDI],
Ris10
[BDI],
Vis20, Vi5
Ris5 [BDI],
Vis16
[WOS:0002759
66900014],
Vis19 [BDI],
Vi4, Vi5, Vi6
Research activity: 2010 - present
Domain: Systems Engineering
a personal research domain:
Service Systems Engineering: a Modelling
and Simulation Approach
Aim:
engineering of IT-based smart customer-centric
services
Keywords for this thesis:
service systems
service innovation
service systems engineering
modelling
simulation
multi-agent systems
socio-technical description in service systems
5
Thesis style – cumulative
Monica Drăgoicea, João Falcão e Cunha, M. Patrascu: Self-organizing socio-technical description in service systems for
supporting smart user decisions in public transport. Expert Systems with Applications, Vol. 42, Issues 17-18, Pages 6329-
6341, October 2015
Monica Drăgoicea, Th. Borangiu, I. Voinescu: Service Interactions Modelling for Improved Management of Public
Transport Systems. SIMULATION: Transactions of The Society for Modeling and Simulation International, Vol. 92 no. 3,
pages 233-250, March 2016
Monica Drăgoicea, C. Chera, M. Patrascu: Value Co-Creation in a Virtual Smart Building Service Enterprise for Energy
Effciency and Economic Sustainability. Environmental Engineering and Management Journal, 14(5), Pages 1183-1194, May
2015
Monica Drăgoicea, D. Constantinescu, João Falcão e Cunha: Experience from a Modelling & Simulation Perspective in
Smart Transport Service Design and Development. In press, to be presented at IESS 1.6, 7th International Conference on
Exploring Services Science, Bucharest, Romania, May 2016
Th. Borangiu, V.E. Oltean, Monica Drăgoicea, João Falcão e Cunha, I. Iacob: Some Aspects Concerning a Generic Service
Process Model Building. In: Proceedings of the 5th International Conference on Exploring Service Science IESS 1.4, 5-7
February 2014, Geneva, Switzerland, LNBIP 169, M. Snene, M. Léonard (Eds.), Pages 1-16, Springer International
Publishing Switzerland, 2014
Monica Drăgoicea, Th. Borangiu, João Falcão e Cunha, V.E. Oltean, José Faria, St. Radulescu: Building an Extended
Ontological Perspective on Service Science. In: Proceedings of the 5th International Conference on Exploring Service
Science IESS 1.4, 5-7 February 2014, Geneva, Switzerland, LNBIP 169, M. Snene, M. Léonard (Eds.), Pages 17-30, Springer
International Publishing Switzerland, 2014
Monica Drăgoicea, L. Bucur, M. Patrascu,: A Service Oriented Simulation Architecture for Intelligent Building
Management. In: Proceedings of the 4th International Conference on Exploring Service Science 1.3, 7-8 February 2013,
Porto, Portugal, LNBIP 143, J.F. Cunha, M. Snene, and H. Nóvoa (Eds.), pages 14-28, Springer Verlag Berlin Heidelberg,
2013
6
Thesis style – cumulative
Th. Borangiu, Monica Drăgoicea, V.E. Oltean, I. Iacob: A Generic Service System Activity Model with Event-Driven
Operation Reconguring Capability. In: Springer book series "Studies in Computational Intelligence", book title "Service
Orientation in Holonic and Multi-Agent Manufacturing and Robotics", SCI 544, Th. Borangiu, D. Trentesaux, A. Thomas,
(Eds.), Pages 159-175, Springer International Publishing Switzerland, 2014
Monica Drăgoicea, Th. Borangiu: A Service Science Knowledge Environment in the Cloud. In: Springer book series "Studies
in Computational Intelligence", book title "Service Orientation in Holonic and Multi Agent Manufacturing and Robotics",
Th. Borangiu, A. Thomas, D. Trentesaux (Eds.), SCI 472, Pages 229-246, 2013
M. Patrascu, Monica Drăgoicea: Integrating Agents and Services for Control and Monitoring: Managing Emergencies in
Smart Buildings. In: Springer book series "Studies in Computational Intelligence", book title "Service Orientation in Holonic
and Multi-Agent Manufacturing and Robotics", SCI 544, Th. Borangiu, D. Trentesaux, A. Thomas (Eds.), Pages 209-224,
Springer International Publishing Switzerland, 2014
Monica Drăgoicea, M. Patrascu, G.A. Serea: Real Time Agent Based Simulation for Smart City Emergency Protocols.
Proceedings of ICSTCC 2014, 18th International Conference on System Theory, Control and Computing, 17-19 October
2014, Sinaia, Romania, 187-192, 2014
M. Patrascu, Monica Drăgoicea, A. Ion: Emergent Intelligence in Agents: a Scalable Architecture for Smart Cities.
Proceedings of ICSTCC 2014, 18th International Conference on System Theory, Control and Computing, 17-19 October
2014, Sinaia, Romania, 181-186, 2014
Monica Drăgoicea, Th. Borangiu: Case Studies for Education in Robotics: From Serious Games to "Technology to Teach
Technology" Platforms. In: Advances in Robot Design and Intelligent Control, Proceedings of the 24th International
Conference on Robotics in Alpe-Adria-Danube Region (RAAD), Springer Book Series: Advances in Intelligent Systems and
Computing, Volume 371, Pages 245-253, 2015
7
Thesis contents
8
Thesis contents
9
Contributions to the new research domain
6 main directions:
1. Increasing the impact of research for exploring Service Science - the Service Science Knowledge
Environment
[23] Dragoicea, M., Borangiu, Th., Cunha, J.F., Oltean, V.E., Faria, J., Radulescu, St.: Building an Extended Ontological
Perspective on Service Science. In M. Snene, M. Leonard (Eds.), Exploring Services Science, 17-30, Springer International
Publishing (2014)
[117] Dragoicea, M., Borangiu, Th.: A Service Science Knowledge Environment in the Cloud. In: Springer book series "Studies in
Computational Intelligence", book title "Service Orientation in Holonic and Multi Agent Manufacturing and Robotics", Th.
Borangiu, A. Thomas, D. Trentesaux (Eds.), SCI 472, 229-246 (2013)
2. Socio-technical description in service systems
[54] Dragoicea, M., Cunha, J.F., Patrascu, M.: Self-organising socio-technical description in service systems for supporting smart
user decisions in public transport. Expert Systems with Applications, 42(17-18), 6329-6341 (2015)
3. Service-oriented design and service innovation
[135] Dragoicea, M., Chera, C., Patrascu, M.: Value Co-Creation in a Virtual Smart Building Service Enterprise for Energy
Efficiency and Economic Sustainability. Environmental Engineering and Management Journal, 14(5), 1183-1194 (2015)
[145] Dragoicea, M., Patrascu, M., Bucur, L.: Service Orientation for Intelligent Building Management: An IoS an IoT
Perspective, UNITE 2nd Doctoral Symposium R&D in Future Internet and Enterprise Interoperability, Sofia, Bulgaria, 79{86
(2012)
[146] Dragoicea, M., Bucur, L., Patrascu, M.: A Service Oriented Simulation Architecture for Intelligent Building Management,
In: Exploring Service Science, LNBIP 143, J.F. Cunha, M. Snene, H. Novoa (Eds.), Springer Berlin Heidelberg, 14-28 (2013)
10
Contributions to the new research domain
4. A Modelling & Simulation perspective in smart service design
[54] Dragoicea, M., Cunha, J.F., Patrascu, M.: Self-organising socio-technical description in service systems for supporting smart
user decisions in public transport. Expert Systems with Applications, 42(17-18), 6329-6341 (2015)
[130] Dragoicea, M., Constantinescu, D., Cunha, J.F.: Experience from a Modelling & Simulation Perspective in Smart Transport
Service Design and Development. In press, to be presented in IESS 1.6, 7th International Conference on Exploring Services
Science, 25-27 May 2016, Bucharest, Romania (2016), LNBIP 247, pp. 75–88, 2016. DOI: 10.1007/978-3-319-32689-4 6
5. Modelling value co-creation interactions in an activity-type service system
[28] Borangiu, Th., Dragoicea, M., Oltean, V.E., Iacob, I.: A Generic Service System Activity Model with Event-Driven Operation
Reconfiguring Capability. In Service Orientation in Holonic and Multi-Agent Manufacturing and Robotics, SCI 544, Th.
Borangiu, D. Trentesaux, A. Thomas, (Eds.), 159-175, Springer (2014)
[131] Dragoicea, M., Borangiu, Th., Voinescu, I.: Service Interactions Modelling for Improved Management of Public Transport
Systems. SIMULATION: Transactions of The Society for Modeling and Simulation International, Vol. 92 no. 3, pages 233-250,
March 2016
11
Contributions to the new research domain
6. Agent-based simulation in service design
a. Simulating value co-creation interactions for customer experience integration in public transport
services
[54] Dragoicea, M., Cunha, J.F., Patrascu, M.: Self-organising socio-technical description in service systems for supporting
smart user decisions in public transport. Expert Systems with Applications, 42(17-18), 6329-6341 (2015)
b. Depicting value co-creation interactions in the SSyst type service system
[131] Dragoicea, M., Borangiu, Th., Voinescu, I.: Service Interactions Modelling for Improved Management of Public
Transport Systems. SIMULATION: Transactions of The Society for Modeling and Simulation International, Vol. 92 no. 3,
pages 233-250, March 2016
c. Integrating agents and services for control and monitoring
[147] Patrascu, M., Dragoicea, M.: Integrating Agents and Services for Control and Monitoring: Managing Emergencies in
Smart Buildings. In: Service Orientation in Holonic and Multi-Agent Manufacturing and Robotics, SCI 544, Borangiu Th.,
Trentesaux D., Thomas A. (Eds.), Springer, 209-224 (2014)
[148] Patrascu, M., Dragoicea, M.: Integrating Services and Agents for Control and Monitoring: A Smart Building
Perspective. Preprints of the International Workshop on "Service Orientation in Holonic and Multi Agent Manufacturing
and Robotics" SOHOMA13, Valenciennes, France, June 20-22, 167-180 (2013)
d. Agent based simulation to support IOC development for Smarter Cities
[133] Dragoicea, M., Patrascu, M., G.A. Serea: Real Time Agent Based Simulation for Smart City Emergency Protocols.
Proceedings of ICSTCC 2014, 18th International Conference on System Theory, Control and Computing, 17-19 October
2014, Sinaia, Romania, 187-192 (2014)
[134] Patrascu, M., Dragoicea, M., A. Ion: Emergent Intelligence in Agents: a Scalable Architecture for Smart Cities.
Proceedings of ICSTCC 2014, 18th International Conference on System Theory, Control and Computing, 17-19 October
2014, Sinaia, Romania, 181-186 (2014)
12
Application context – service economy
the service sector accounts now for over 70% of the activities and employment in the more
advanced economies, and has been growing in all countries
innovation in services is critical for sustainable societies
increasing support from information technologies in providing new services
service organizations are introducing today new business models - oriented towards the
service customer
service customer’s experience is supposed to be embedded in the new service offerings and enterprise
design through social computing and social software
the society - as a whole - is facing fundamental changes in the way its members interact with
the service organizations, make informed (smart) decisions, work, and access new service
offerings
a special approach to organize service systems activities in order to customize service offerings based
on the customers requirements
13
Application context - definitions
Service systems engineering (SSE)
(BKCASE def.): … a multidisciplinary approach to manage and design value co-creation of a service
system
It extends the holistic view of a system to a customer-centric, end-to-end view of service system
design.
Service systems engineers - the role of an integrator by considering the interface requirements
for the interoperability of service system entities, not only for technical integration, but also for
the processes and organization required for optimal customer experience during service
operations
SEBoK v. 1.5.1 released 18 December 2015 - BKCASE, Body of Knowledge and Curriculum to
Advance Systems Engineering,, http://www.bkcase.org/
http://sebokwiki.org/wiki/Service_Systems_Engineering
14
Application context - definitions
Service systems engineering (SSE)
Why SSE is different?
emphasis on people and human behaviour
focus on Engineering (design, operations, problem solving) rather than on Business
emphasis on process over product
focus on customer interaction with service processes and systems
15
Development context:
INCOSE systems engineering vision for 2025:
the evolution of the systems engineering endeavours in a model-based or
model driven context
application domain: service systems engineering
MBSE: Model-Based Systems Engineering
a Systems Engineering paradigm, emphasizes the application of rigorous
visual modelling principles and best practices to Systems Engineering
activities such as requirements analysis, validation and verification; system
architecture specification, …
from traditional Systems Engineering processes that are document-based and
code-centric -> more effective processes that are requirements-driven and
architecture-centric
M&SBSE: Modelling and Simulation-Based Systems Engineering
supports an effective systems engineering process in which the model is still
central, but it reinforces that this model should be executable
therefore, besides centralising experiences and successful best practices in the
systems engineering endeavour, an M&SBSE process should naturally
integrate design options to validate design using an executable
representation of requirements
16 INCOSE: International Council on Systems Engineering, http://www.incose.org/
Main results
Socio-technical description in service systems
actual service systems can be described as complex socio-technical systems, integrating business
functions, technology and human resources, whose aim is the creation of value and benefit through
the generated services
[54] Monica Drăgoicea, João Falcão e Cunha, Monica Pătraşcu: Self-organising socio-technical description in service systems for
supporting smart user decisions in public transport. Expert Systems with Applications, 42(17-18), 6329-6341 (2015)
Highlights
Exploration to transpose service science principles to guide service systems design
Modelling of value co-creation service interactions embedding customer experience
Description of the Socio-Technical Systems Engineering (STSE) process
Exploratory case study of a real time information and travel planning service
Integration guidelines of the STSE process steps with Presage2 multi-agent platform
17
Main application driver – agent technology
Agent Directed Simulation initiative describes different forms of agent-related research,
expressing:
agent simulation - the use of simulation for agents
agent supported-simulation, and agent-based simulation - the use of agents for simulation
agent-based system modelling and simulation relates to understanding system response,
predicting behaviour and defining emergent behaviours
18
STSE: Socio-Technical Systems Engineering process
19
Dragoicea, M., Cunha, J.F., Patrascu, M.: Self-organising socio-technical description
in service systems for supporting smart user decisions in public transport. Expert
Systems with Applications, 42(17-18), 6329-6341 (2015)
STSE: Socio-Technical Systems Engineering process
20
Step 1 Step 2 Step 3 Step 4
STSE: Socio-
technical systems
engineering process
Output:
Social need
identification
Scenario
definition
Formal model
design
Agent based
operational
modelling
Requirements
document
Use case
model
Agent based
architectural model
Agent based
implementation
model (executable)
V-model for a
systems engineering
process
Output:
Concept of
Operations
System
Specification
High level design Detailed design
Requirements
document
System
requirements
document
and use case
model
Architectural
analysis model
Software
implementation
model
(executable)
Table 1. The STSE process and the V-model for a systems engineering process
Dragoicea, M., Cunha, J.F., Patrascu, M.: Self-organising socio-technical description
in service systems for supporting smart user decisions in public transport. Expert
Systems with Applications, 42(17-18), 6329-6341 (2015)
STSE: Socio-Technical Systems Engineering process
Step 1. Social needs identification. The stakeholders’ needs are identified, and value co-creation
interactions are defined.;
a requirements document is created to define overall system functionalities and performance criteria for
system validation if a new service process development is motivated
Step 2. Scenario definition. Value propositions are defined and a use case model is created to comply with
the user identified needs;
definition of the agent based simulation scenarios, allowing to validate different aspects of social interaction
between the service consumer and provider; output is the use case model
Step 3. Formal model design. The output of this stage is the proposed architecture of the agent based
model, consisting of:
a set of agents, the environment in which they operate, agent communication protocol, and the set of general
rules according to which they execute their actions and access resources
Step 4. Agent based operational modelling. The functional requirements are transformed into a coherent
description of the service functionalities through model execution
a value-proposition-based interactions phase, in which the customer and provider may negotiate in terms of
value propositions; investigate: a) the level of service quality promised by the provider against the needs of
the customer, and b) the cost of the service utilization against the requested price that the customer has to pay.
21
Main results
A Modelling & Simulation perspective in smart service design
Highlights
a high level visual modelling approach assisted by model execution and simulation tools
from a Service Systems Engineering perspective, the outcomes of this process are artefacts that
automatically support consistency among design steps and effective integration of customer
experience and stakeholder requirements through iterative cycles related to service design
case study of engineering smart customer-centric services with IT support
the Socio-Technical Systems Engineering (STSE) process is proposed to guide improved design
of new real time information service that provides integrated information for trip planning in a
city
this is an example of validation of service design through simulation using an executable
representation of requirements
[54] Dragoicea, M., Cunha, J.F., Patrascu, M.: Self-organising socio-technical description in service systems for supporting smart
user decisions in public transport. Expert Systems with Applications, 42(17-18), 6329-6341 (2015)
[130] Dragoicea, M., Constantinescu, D., Cunha, J.F.: Experience from a Modelling & Simulation Perspective in Smart Transport
Service Design and Development. In press, to be presented in IESS 1.6, 7th International Conference on Exploring Services
Science, May 2016, Bucharest, Romania (2016), LNBIP 247, pp. 75–88, 2016, Springer, DOI: 10.1007/978-3-319-32689-4 6
22
Application – modelling example
integration of agent-based modelling and simulation experience into the development of smart transport
information services
emphasises the role of the development platform that provides tools for model analysis, validation,
simulation, and real-time animation
the developed models can be defined consistently with user needs
23
[130] Dragoicea, M., Constantinescu, D., Cunha, J.F.: Experience from a Modelling & Simulation Perspective in Smart Transport
Service Design and Development. In press, to be presented in IESS 1.6, 7th International Conference on Exploring Services
Science, May 2016, Bucharest, Romania (2016), LNBIP 247, pp. 75–88, 2016, Springer, DOI: 10.1007/978-3-319-32689-4 6
Summary of research directions 2 and 4
we explored the possibility to transpose service science principles to guide improved service
design
we approached a M&SBSE perspective in order to model value co-creation service
interactions embedding customer experience
we defined and applied a specific system engineering process - Socio-Technical Systems
Engineering (STSE) – specifically tailored for service systems engineering
we created and exploratory case study of a real time information and travel planning service
we presented integration guidelines of the STSE process steps with:
Presage2, a simulation platform for rapid prototyping of Agent Societies, and with
Rational Rhapsody development platform, for embedded, real time or technical
application software development based on the UML and SysML modelling standards,
offering support for high-level modelling, and model execution through simulation and
real-time animation
24
Summary of research directions 2 and 4
we discussed the possibility of integrating agent-based modelling and simulation experience
into the development of improved services
we suggested that we can formalize service design activities towards the integration of
customer experience, validated through service interaction modelling
on our specific case study, we created an agent based executable model which seems suitable
for:
obtaining qualitative simulation results, and
performing quantitative evaluations on operational aspects in transport service delivery
25
Main results
Service-oriented design and service innovation
… next generation IT development deals more with integrating existing software than creating
new applications - new software engineering lifecycles for this domain needed … (M. Brian
Blake, PhD, University of Miami)
fact: … a natural tendency to distribute system functionalities over the ubiquitous computing
devices in the environment
a new generation of applications shift from the centralized, local desktop applications
toward the provision for distributed geo-spatial services and components
software modularity and reuse: restructure applications as a set of connected
services, and focus on distributed access, data availability and inter-operability of
functionalities exposed as services
[135] Dragoicea, M., Chera, C., Patrascu, M.: Value Co-Creation in a Virtual Smart Building Service Enterprise for Energy
Efficiency and Economic Sustainability. Environmental Engineering and Management Journal, 14(5), 1183-1194 (2015)
[145] Dragoicea, M., Patrascu, M., Bucur, L.: Service Orientation for Intelligent Building Management: An IoS an IoT
Perspective, UNITE 2nd Doctoral Symposium R&D in Future Internet and Enterprise Interoperability, Sofia, Bulgaria, 79{86
(2012)
[146] Dragoicea, M., Bucur, L., Patrascu, M.: A Service Oriented Simulation Architecture for Intelligent Building Management,
In: Exploring Service Science, LNBIP 143, J.F. Cunha, M. Snene, H. Novoa (Eds.), Springer Berlin Heidelberg, 14-28 (2013)
26
Main results
Service-oriented design and service innovation
Highlights
Exploration to transpose service science principles to guide service systems design
using the “building system” concept - the building “product” itself is seen as a support
for service provisioning and improvement
the requirements definition of buildings’ conceptual phase does not focus on the
building structure itself, but on the services it can provide to the specific customers
(stakeholders)
the building construction not only shelters human activities, but it can be evaluated
also against its major impact on the services provided to the community
Description of the Virtual Smart Building Service Enterprise (VSBSE) concept
Exploratory case study of modelling, virtualising, and managing complex services,
including energy consumption
Integration guidelines of the VSBSE process steps in an operational loop with a Smart
Building Controller exposed as a service
27
Main results
Service-oriented design and service innovation
a novel perspective to develop an innovated services ecosystem for smart buildings
different stakeholder categories to interact in order to develop, publish, compose, discover,
integrate and use specific functionalities exposed as services for smart building management
28
Main results
Service-oriented design and service innovation
stakeholders benefiting from this sort of approach:
Software service providers: software developers, develop and publish IT services that can be discovered by
the application integrators that develop services
Cloud providers: They host the entire informational infrastructure that provide access to the different building
subsystems, through the Smart Building Management solution;
Building administrators: They get a real-time overview of the entire building to better manage different
operational aspects like power consumption, comfort levels etc.;
Home owners: People who live or work inside the building getting remote access to their homes and offices;
Emergency units: They have an easier access to the locations inside the building, without interfering with the
management of utilities during their interventions;
Constructors: They use building related data acquired through smart sensors for future developments;
Household goods manufacturers: This category of stakeholders refers to manufacturing units that produce
different kinds of home appliances and devices;
City halls and seismology institutions: They use data to develop intervention procedures in case of
emergencies;
Smart community: New service business models in European cities should prove their economic sustainability
through the empowerment of their citizens who can actively evaluate and become aware of sustainable
resource consumption;
Smart government: A modern city involves many actors, like local communities, authorities, nongovernmental
organizations, agencies, integrating people, resources, technology and organizations that provide services.
29
Main results
Modelling value co-creation interactions in an activity-type service system
Highlights
using service science principles for engineering and realizing improved public transport
services
a value co-creation perspective for the management of public transport service operations
allowing to capture requirements for software intensive service systems
approaches specific implementation issues of the activity-based model of the generic
service system (Ssyst)
using a developed agent-based model for the analysis of service systems operational
capabilities, validated through simulation
business scenario related to the management of public transport services
agent-based model executed with the Presage2 multi-agent programming platform
[28] Borangiu, Th., Dragoicea, M., Oltean, V.E., Iacob, I.: A Generic Service System Activity Model with Event-Driven Operation
Reconfiguring Capability. In Service Orientation in Holonic and Multi-Agent Manufacturing and Robotics, SCI 544, Th.
Borangiu, D. Trentesaux, A. Thomas, (Eds.), 159-175, Springer (2014)
[131] Dragoicea, M., Borangiu, Th., Voinescu, I.: Service Interactions Modelling for Improved Management of Public Transport
Systems. SIMULATION: Transactions of The Society for Modeling and Simulation International, Vol. 92 no. 3, pages 233-250,
March 2016
30
Main results
Modelling value co-creation interactions in an activity-type service system
31
Dragoicea, M., Borangiu, Th., Voinescu, I.: Service Interactions Modelling for Improved Management of
Public Transport Systems. SIMULATION: Transactions of The Society for Modeling and Simulation
International, Vol. 92 no. 3, pages 233-250, March 2016
Main results
Modelling value co-creation interactions in an activity-type service system
32
Dragoicea, M., Borangiu, Th., Voinescu, I.: Service Interactions Modelling for Improved Management of Public Transport Systems.
SIMULATION: Transactions of The Society for Modeling and Simulation International, Vol. 92 no. 3, pages 233-250, March 2016
33
Research roadmap
a new research domain is approached (2010 - 2015):
Service Systems Engineering: a modelling and simulation approach
integrating Service Science concepts, its consequences and usability into the design of user-centric,
IT-based smart services
three main research directions:
Service Systems Modelling
Resource allocation in service delivery
Smart Transport Systems
34
Research perspective …
Smarter Cities
advanced today as a perspective for urban sustainability and relates to the European
Agenda aiming to support an integrated and intelligent development evolution for growth
of urban areas
many solutions that are imagined and introduced in common practice today to solve the
problems confronting cities involve "systems of systems" (SoS) integration
these solutions are related to Smarter Healthcare, Smarter Buildings, Smarter Education,
Smarter Transportation, …
… aiming to predict, manage, and integrate operations at city level
35
Future research directions
Service Systems Modelling
RD1. Service systems modelling and customer experience
RD1-1. Evolution of the STSE process towards a full development methodology
RD1-2. Computational justice for service systems modelling
Resource allocation in service delivery
RD3. Resource allocation in service delivery
Smart Transport Systems
RD2. Smart transport systems
RD2-1. Agent technology in smart transport systems design
RD2-2. Artificial Transportation Systems and "Serious Games“
36
Thanks to:
University Politehnica of Bucharest, Faculty of Automatic Control and Computers: Theodor Borangiu, Virginia
Ecaterina Oltean, Iulia Voinescu, Monica Patrascu, Stefan Rădulescu, Silvia Anton, Florin Anton, Silviu Răileanu,
Andreea Ion, George Serea, Vlad Costica, Marius Stan, Denisa Constantinescu, Denis Cioata
Politehnica University of Timisoara, Faculty of Automation and Computers:: Radu Precup
Technical University Gh. Asachi, Iasi, Faculty of Automatic Control and Computers: Octavian Păstrăvanu
University of Porto, Portugal, Faculty of Engineering - FEUP: João Falcão e Cunha (Dean), José Faria, Maria
Henriqueta Nóvoa, Lia Patrício, Rosaldo Rossetti, Teresa Galvão Dias, Marta Campos Ferreira
Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia, Portugal: Ricardo Jardim Gonçalves, Carlos
Agostinho, João Sarraipa
Imperial College, London, UK: Jeremy Pitt, Didac Busquets
University of Coimbra, Portugal: Jorge Cardoso
University of Geneva, Switzerland: Michel Paul Léonard
Università Cattolica del Sacro Cuore, Milan, and Università Telematica Internationale Uninettuno, Rome, Italy: Marco
De Marco
Afeka Tel Aviv Academic College of Engineering, Israel: Shai Rozenes
Sami Shamoon College of Engineering, Beer Sheva, Israel: Adi Wolfson
IBM Global University Relations: Diem Ho, Jim Spohrer, director, Global University Programs at IBM
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