Challenges and Current Developments for Sensing, Smart and Sustainable Enterprise Systems
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This report evaluates the methods required for capturing the enterprise-based reality to gain the ultimate sustainability requirements. It discusses the challenges and current developments for sensing, smart, and sustainable enterprise systems.
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Running head: SMART AND SUSTAINABLE ENTERPRISE SYSTEMS
SMART AND SUSTAINABLE ENTERPRISE SYSTEMS
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SMART AND SUSTAINABLE ENTERPRISE SYSTEMS
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SMART AND SUSTAINABLE ENTERPRISE SYSTEMS
Table of Contents
Introduction: 2
Discussion: 3
The Sensing, Smart and Sustainable Enterprise as a complex adaptive system 3
Complexity of S^3-Enterprise Systems: 5
Architectures and languages for the S^3-Enterprise: 6
Methods for model management and education: 7
Conclusions: 7
References: 8
Table of Contents
Introduction: 2
Discussion: 3
The Sensing, Smart and Sustainable Enterprise as a complex adaptive system 3
Complexity of S^3-Enterprise Systems: 5
Architectures and languages for the S^3-Enterprise: 6
Methods for model management and education: 7
Conclusions: 7
References: 8
SMART AND SUSTAINABLE ENTERPRISE SYSTEMS
Introduction:
The report aims in evaluating and discussing the issues as well as the emerging trends
for the development for sensing, smart and sustainable enterprise systems. The scope of
technology has advanced over a significant period of time which in turn evolves the
Information and Communication Technology. The future digital enterprises are devised as the
new enterprise models are required for the future [1]. The report evaluates the methods that
are required for capturing the enterprise based reality to gain the ultimate sustainability
requirements.
Increased competition around the globe drives firms to become economically,
environmentally and socially more sustainable. Enterprises must develop real smart systems
to respond quickly and flexibly to altering environments to be genuinely sustainable. A lot of
data and information is provided by mobile devices, social networks and real time systems
[2]. Intelligent choices are necessary which take into consideration a great deal of data.
Sensing systems must be capable of handling, organizing, and analyzing all data or
information sources to supply the portion of the intelligent systems. S^3-Enterprise needs to
assist next generation data technologies.
Traditional companies lack patterns, skills, procedures and techniques to address
today's hyper-connected, flat world challenges. If existing companies do not enhance their
digital capabilities, they will not survive in future. Digital skills comprise the ability of the
work organizations to use the computer and their services as well as the applications of the
ICT system but also using depictions that are digital in form to promote and enhance
company value [3].
Introduction:
The report aims in evaluating and discussing the issues as well as the emerging trends
for the development for sensing, smart and sustainable enterprise systems. The scope of
technology has advanced over a significant period of time which in turn evolves the
Information and Communication Technology. The future digital enterprises are devised as the
new enterprise models are required for the future [1]. The report evaluates the methods that
are required for capturing the enterprise based reality to gain the ultimate sustainability
requirements.
Increased competition around the globe drives firms to become economically,
environmentally and socially more sustainable. Enterprises must develop real smart systems
to respond quickly and flexibly to altering environments to be genuinely sustainable. A lot of
data and information is provided by mobile devices, social networks and real time systems
[2]. Intelligent choices are necessary which take into consideration a great deal of data.
Sensing systems must be capable of handling, organizing, and analyzing all data or
information sources to supply the portion of the intelligent systems. S^3-Enterprise needs to
assist next generation data technologies.
Traditional companies lack patterns, skills, procedures and techniques to address
today's hyper-connected, flat world challenges. If existing companies do not enhance their
digital capabilities, they will not survive in future. Digital skills comprise the ability of the
work organizations to use the computer and their services as well as the applications of the
ICT system but also using depictions that are digital in form to promote and enhance
company value [3].
SMART AND SUSTAINABLE ENTERPRISE SYSTEMS
Successful businesses must become viable and depend on the structure of digital
businesses. The transition or the change of the company into a digital company involves
beneficial disruptions to business models, business operations, value chains and modelling
and main performance indicators and the strategic utilization of ICT. The notion of sensor
economies describes companies linked to various intelligent device types for gaining real
time data from their network and to provide apps with information and information from a
range of settings (for instance, factory information, social networks, customer based
behaviour, resource mobilization and supply chains) [4]. In order of carrying out analysis and
decision-making in actual and digital realms, the sensing company combines sensor ideas
with mobile technology and dispersed type of intelligence. This idea is the framework of the
future Internet of Things business.
Discussion:
The Sensing, Smart and Sustainable Enterprise as a complex adaptive system
The article describes the S^3- Enterprise as an adaptive system which is determined as
a complex system. For facing the challenges in the implementation of the Digital Enterprise it
has been recommend by the authors of the article about the development of the Sensing,
smart and sustainable Enterprise. The meaning of sustainability for an organization or an
enterprise directly implies the social, economic, environmental and the ethical assessed
concerns required for the organization. The process of implementation of the issues regarding
the sustainability within an enterprise and all the working structures of the organizations are
indulged with new metrics such as the competences, business process models which are
relatively new kind of approach. The approach has also been termed by many authors as a
part of circular economy [6]. The sustainability approach creates an enterprise a green
sustainable enterprise hat has the knowledge of dealing with life cycle management. For
Successful businesses must become viable and depend on the structure of digital
businesses. The transition or the change of the company into a digital company involves
beneficial disruptions to business models, business operations, value chains and modelling
and main performance indicators and the strategic utilization of ICT. The notion of sensor
economies describes companies linked to various intelligent device types for gaining real
time data from their network and to provide apps with information and information from a
range of settings (for instance, factory information, social networks, customer based
behaviour, resource mobilization and supply chains) [4]. In order of carrying out analysis and
decision-making in actual and digital realms, the sensing company combines sensor ideas
with mobile technology and dispersed type of intelligence. This idea is the framework of the
future Internet of Things business.
Discussion:
The Sensing, Smart and Sustainable Enterprise as a complex adaptive system
The article describes the S^3- Enterprise as an adaptive system which is determined as
a complex system. For facing the challenges in the implementation of the Digital Enterprise it
has been recommend by the authors of the article about the development of the Sensing,
smart and sustainable Enterprise. The meaning of sustainability for an organization or an
enterprise directly implies the social, economic, environmental and the ethical assessed
concerns required for the organization. The process of implementation of the issues regarding
the sustainability within an enterprise and all the working structures of the organizations are
indulged with new metrics such as the competences, business process models which are
relatively new kind of approach. The approach has also been termed by many authors as a
part of circular economy [6]. The sustainability approach creates an enterprise a green
sustainable enterprise hat has the knowledge of dealing with life cycle management. For
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SMART AND SUSTAINABLE ENTERPRISE SYSTEMS
implementing such policies or the sustainable enterprise policy the organizations needs
improvised and rectified business models that will follow new metrics and use new
sustainable technologies and techniques in the process of manufacturing and all kind of
system based levels.
The use of accelerating techniques such as networks, mobility, big data analysis,
cloud computing, cyber physical systems, safety, social computing and the types of the
sensors must be leveraged. The mentioned increasing innovations create a profound effect on
business processes and corporate policies. Digital society, digital design, digital clients,
digital production, digital healthcare, digital logistics, digital services and digital power will
be impacted and become digital in the next couple of years. In order for a digital company to
be competitive and viable, it needs to sensitize its environment and then act on perceived data
[5]. This vision of the enterprises are known as the S^3 approach for the company (sensor,
intelligent and sustainable business).
According to the author, the matter of Sensing, Smart and Sustainable policy
implementation in the enterprises have a very important role to play in the strategy and
operations that fit in with the dynamic based changes in the progressing and competitive
market. For developing the required digital based strategy for the implementation of the
sustainability and smart changes in the enterprise, the enterprise authorities’ needs to depend
on a smart and comprehensive approach [7]. This approach can only be obtained by the
implementation of the Enterprise Architecture. The Enterprise Architecture is approaches that
are generally known as the model driven approaches.
For creating sustainability within the new age enterprises, the enterprises needs to
adapt the digital based strategy where the participation of all the stakeholders related to the
implementing such policies or the sustainable enterprise policy the organizations needs
improvised and rectified business models that will follow new metrics and use new
sustainable technologies and techniques in the process of manufacturing and all kind of
system based levels.
The use of accelerating techniques such as networks, mobility, big data analysis,
cloud computing, cyber physical systems, safety, social computing and the types of the
sensors must be leveraged. The mentioned increasing innovations create a profound effect on
business processes and corporate policies. Digital society, digital design, digital clients,
digital production, digital healthcare, digital logistics, digital services and digital power will
be impacted and become digital in the next couple of years. In order for a digital company to
be competitive and viable, it needs to sensitize its environment and then act on perceived data
[5]. This vision of the enterprises are known as the S^3 approach for the company (sensor,
intelligent and sustainable business).
According to the author, the matter of Sensing, Smart and Sustainable policy
implementation in the enterprises have a very important role to play in the strategy and
operations that fit in with the dynamic based changes in the progressing and competitive
market. For developing the required digital based strategy for the implementation of the
sustainability and smart changes in the enterprise, the enterprise authorities’ needs to depend
on a smart and comprehensive approach [7]. This approach can only be obtained by the
implementation of the Enterprise Architecture. The Enterprise Architecture is approaches that
are generally known as the model driven approaches.
For creating sustainability within the new age enterprises, the enterprises needs to
adapt the digital based strategy where the participation of all the stakeholders related to the
SMART AND SUSTAINABLE ENTERPRISE SYSTEMS
enterprise is needed for the successful information of the changes and create more sustainable
environment for the organization in the modern age [8].
The previously discussed agents are the additional element types that are responsible
for sensing and knowing the trend of the environment of the business market and act upon the
state that has been sensed by them from the present scenario of the world. The agents are
expected to act and react proactively and also sense and act before the progress of the event.
The capability of the agents to make the appropriate reasoning helps them to know and
predict the event and act before changes are implemented in the market.
Complexity of S^3-Enterprise Systems:
The part of sensing and developing the understanding for the business infrastructure
of an enterprise is highly required for developing as well as maintaining the sustainability in
the business process of the organization [9]. This causes nonlinearity in the procedure and
this non linearity structure creates more difficulties in the course of prediction from the
digital based system after knowing the structure. The article clearly describes that the there
are several elements of the system which may have several relationships among the elements
in a complex system. There are more element types present that are termed as the agents in
the complex systems [10].
The digitalization of the strategies requires the concepts of sensing, smart and
sustainable systems within all kinds of the organization or an enterprise. The concept also
plays a vital role in Decisions and operations to respond to active transformations in the
market which has gradually transformed into more competitive in nature [11].
The digital strategy which is termed as the sensing, smart and sustainable enterprise
can be developed by the help of the Enterprise Architecture as the EA has the ability of
enterprise is needed for the successful information of the changes and create more sustainable
environment for the organization in the modern age [8].
The previously discussed agents are the additional element types that are responsible
for sensing and knowing the trend of the environment of the business market and act upon the
state that has been sensed by them from the present scenario of the world. The agents are
expected to act and react proactively and also sense and act before the progress of the event.
The capability of the agents to make the appropriate reasoning helps them to know and
predict the event and act before changes are implemented in the market.
Complexity of S^3-Enterprise Systems:
The part of sensing and developing the understanding for the business infrastructure
of an enterprise is highly required for developing as well as maintaining the sustainability in
the business process of the organization [9]. This causes nonlinearity in the procedure and
this non linearity structure creates more difficulties in the course of prediction from the
digital based system after knowing the structure. The article clearly describes that the there
are several elements of the system which may have several relationships among the elements
in a complex system. There are more element types present that are termed as the agents in
the complex systems [10].
The digitalization of the strategies requires the concepts of sensing, smart and
sustainable systems within all kinds of the organization or an enterprise. The concept also
plays a vital role in Decisions and operations to respond to active transformations in the
market which has gradually transformed into more competitive in nature [11].
The digital strategy which is termed as the sensing, smart and sustainable enterprise
can be developed by the help of the Enterprise Architecture as the EA has the ability of
SMART AND SUSTAINABLE ENTERPRISE SYSTEMS
representing the approach in a very standard way which is ideal for the developing the
concept of the Sensing, smart and sustainable Enterprise.
Regardless of levels of intelligence approved to the agents, interactions between the
agent and its environment will over time affect all components of the scheme and the whole
system. This implies the Non-linear interactions among agents. There is a multitude of
reasons for this nonlinearity. For example, agents can take into account distinct dimensions of
the observed setting or observing distinct components of it that have a distinct interpretation
of interactions. Nevertheless, noticeably complicated and chaotic impacts are already noticed
in models of renowned easy features, including certain nonlinear variables [12]. This non-
linearity prevents the worldwide system from being predicted by summarizing the behaving
and states of the individual agents. It is has high importance in realizing that although the
company system cannot predict how it acts and is considered that the behaviour is not altered.
Architectures and languages for the S^3-Enterprise:
Smart agents and as well as the smart systems requires the attribute of planning
models and decision-making models. The key elements required for S^3-Enterprise consist of
engineering system which is based on models and operations based on the model. First, the
notion of service must be included in all elements of the company. Secondly, prevalent
central ontology is necessary for negotiation for a varied type of supply network that
comprises of providers from several areas, leaving information to ontologies that are
dependent on domain and are also derived from the core. The core ontology facilitates the
fundamental exchange of data and the interoperation of smart IT systems that help decision-
makers. Third, independent intelligent agents can be used in these information systems.
These units need models to be implemented.
representing the approach in a very standard way which is ideal for the developing the
concept of the Sensing, smart and sustainable Enterprise.
Regardless of levels of intelligence approved to the agents, interactions between the
agent and its environment will over time affect all components of the scheme and the whole
system. This implies the Non-linear interactions among agents. There is a multitude of
reasons for this nonlinearity. For example, agents can take into account distinct dimensions of
the observed setting or observing distinct components of it that have a distinct interpretation
of interactions. Nevertheless, noticeably complicated and chaotic impacts are already noticed
in models of renowned easy features, including certain nonlinear variables [12]. This non-
linearity prevents the worldwide system from being predicted by summarizing the behaving
and states of the individual agents. It is has high importance in realizing that although the
company system cannot predict how it acts and is considered that the behaviour is not altered.
Architectures and languages for the S^3-Enterprise:
Smart agents and as well as the smart systems requires the attribute of planning
models and decision-making models. The key elements required for S^3-Enterprise consist of
engineering system which is based on models and operations based on the model. First, the
notion of service must be included in all elements of the company. Secondly, prevalent
central ontology is necessary for negotiation for a varied type of supply network that
comprises of providers from several areas, leaving information to ontologies that are
dependent on domain and are also derived from the core. The core ontology facilitates the
fundamental exchange of data and the interoperation of smart IT systems that help decision-
makers. Third, independent intelligent agents can be used in these information systems.
These units need models to be implemented.
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SMART AND SUSTAINABLE ENTERPRISE SYSTEMS
MDSEA defines a structure for the modelling of the service system at three abstract
levels which are almost same as the MDA / MDI and they are as follows:
(1) Business Service Modelling (BSM),
(2) TEC and TEC Modelling (TSM) [13].
Business Service Modelling indicates the models that are worldwide used for the
activity of the company or group of companies, as well as the connections between any of
these companies. The BSM models must be autonomous from future techniques used for the
different resources.
In this sense, it is helpful not only to help comprehend the issue, but also to bridge the
gap between field professionals and developers who construct the service system.
Methods for model management and education:
Business architectures as well as the business methods recorded under ISO norms
15704, 19439 and 19440 form the basis for companies to document the truth of their
business. The basic understanding of these norms is to construct a business model to capture
all business content, structure and specifications for enhancing its inclusion and cooperation.
To provide the S^3-Enterprise with a complementary methodology of these ISO standards,
step by step are to be used in designing and building enterprise models and model
architectures.
In the communication and comprehension of a company the variety of business
models offers wide and diverse opinions, but diversity can effectively generate hurdles for
attaining the objective of business integration [13]. Business modelling is therefore
developing from traditional process-based methods in order to address business cooperation
and associated interoperability problems.
MDSEA defines a structure for the modelling of the service system at three abstract
levels which are almost same as the MDA / MDI and they are as follows:
(1) Business Service Modelling (BSM),
(2) TEC and TEC Modelling (TSM) [13].
Business Service Modelling indicates the models that are worldwide used for the
activity of the company or group of companies, as well as the connections between any of
these companies. The BSM models must be autonomous from future techniques used for the
different resources.
In this sense, it is helpful not only to help comprehend the issue, but also to bridge the
gap between field professionals and developers who construct the service system.
Methods for model management and education:
Business architectures as well as the business methods recorded under ISO norms
15704, 19439 and 19440 form the basis for companies to document the truth of their
business. The basic understanding of these norms is to construct a business model to capture
all business content, structure and specifications for enhancing its inclusion and cooperation.
To provide the S^3-Enterprise with a complementary methodology of these ISO standards,
step by step are to be used in designing and building enterprise models and model
architectures.
In the communication and comprehension of a company the variety of business
models offers wide and diverse opinions, but diversity can effectively generate hurdles for
attaining the objective of business integration [13]. Business modelling is therefore
developing from traditional process-based methods in order to address business cooperation
and associated interoperability problems.
SMART AND SUSTAINABLE ENTERPRISE SYSTEMS
Conclusions:
In this article the author has provided the vision and the information on the main part
of the article which is the challenges and current developments for sensing smart and
sustainable Enterprise systems. The report concludes that the new and innovative types of the
enterprise models help to create more feasibility for the enterprises in bringing sustainability
changes within the organizations with the help of the models that have been described in the
article. The article discusses about the various authors on how they depicted the subject about
the challenges that are faced in the course of current developments for sensing smart and
sustainable changes in the Enterprise systems.
Conclusions:
In this article the author has provided the vision and the information on the main part
of the article which is the challenges and current developments for sensing smart and
sustainable Enterprise systems. The report concludes that the new and innovative types of the
enterprise models help to create more feasibility for the enterprises in bringing sustainability
changes within the organizations with the help of the models that have been described in the
article. The article discusses about the various authors on how they depicted the subject about
the challenges that are faced in the course of current developments for sensing smart and
sustainable changes in the Enterprise systems.
SMART AND SUSTAINABLE ENTERPRISE SYSTEMS
References:
G. Weichhart, A. Molina, D. Chen, L.E. Whitman, and F. Vernadat, 2016. Challenges and
current developments for sensing, smart and sustainable enterprise systems. Computers in
Industry, 79, pp.34-46.
J. Miranda, R. Pérez-Rodríguez, V. Borja, P.K. Wright and A. Molina, 2019. Sensing, smart
and sustainable product development (S3 product) reference framework. International
Journal of Production Research, 57(14), pp.4391-4412.
D. Chavarría-Barrientos, R. Batres, P.K. Wright, and A. Molina, 2018. A methodology to
create a sensing, smart and sustainable manufacturing enterprise. International Journal of
Production Research, 56(1-2), pp.584-603.
J. Miranda, R. Pérez-Rodríguez, V. Borja, P.K. Wright, and A. Molina, 2017. Integrated
Product, Process and Manufacturing System Development Reference Model to develop
Cyber-Physical Production Systems-The Sensing, Smart and Sustainable Microfactory Case
Study. IFAC-PapersOnLine, 50(1), pp.13065-13071.
D. Chavarria-Barrientos, R. Batres, R. Perez, P.K. Wright, and A. Molina, 2016, October. A
step towards customized product realization: methodology for sensing, smart and sustainable
enterprise. In Working Conference on Virtual Enterprises (pp. 327-339). Springer, Cham.
H. Mauricio-Moreno, J. Miranda, D. Chavarría, M. Ramírez-Cadena, and A. Molina, 2015.
Design S3-RF (Sustainable x Smart x Sensing-Reference Framework) for the future
manufacturing enterprise. IFAC-PapersOnLine, 48(3), pp.58-63.
M.A. Moisescu, and I.S. Sacala, 2016. Towards the development of interoperable sensing
systems for the future enterprise. Journal of Intelligent Manufacturing, 27(1), pp.33-54.
References:
G. Weichhart, A. Molina, D. Chen, L.E. Whitman, and F. Vernadat, 2016. Challenges and
current developments for sensing, smart and sustainable enterprise systems. Computers in
Industry, 79, pp.34-46.
J. Miranda, R. Pérez-Rodríguez, V. Borja, P.K. Wright and A. Molina, 2019. Sensing, smart
and sustainable product development (S3 product) reference framework. International
Journal of Production Research, 57(14), pp.4391-4412.
D. Chavarría-Barrientos, R. Batres, P.K. Wright, and A. Molina, 2018. A methodology to
create a sensing, smart and sustainable manufacturing enterprise. International Journal of
Production Research, 56(1-2), pp.584-603.
J. Miranda, R. Pérez-Rodríguez, V. Borja, P.K. Wright, and A. Molina, 2017. Integrated
Product, Process and Manufacturing System Development Reference Model to develop
Cyber-Physical Production Systems-The Sensing, Smart and Sustainable Microfactory Case
Study. IFAC-PapersOnLine, 50(1), pp.13065-13071.
D. Chavarria-Barrientos, R. Batres, R. Perez, P.K. Wright, and A. Molina, 2016, October. A
step towards customized product realization: methodology for sensing, smart and sustainable
enterprise. In Working Conference on Virtual Enterprises (pp. 327-339). Springer, Cham.
H. Mauricio-Moreno, J. Miranda, D. Chavarría, M. Ramírez-Cadena, and A. Molina, 2015.
Design S3-RF (Sustainable x Smart x Sensing-Reference Framework) for the future
manufacturing enterprise. IFAC-PapersOnLine, 48(3), pp.58-63.
M.A. Moisescu, and I.S. Sacala, 2016. Towards the development of interoperable sensing
systems for the future enterprise. Journal of Intelligent Manufacturing, 27(1), pp.33-54.
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SMART AND SUSTAINABLE ENTERPRISE SYSTEMS
G. Weichhart, W. Guédria, and Y. Naudet, 2016. Supporting interoperability in complex
adaptive enterprise systems: A domain specific language approach. Data & Knowledge
Engineering, 105, pp.90-106.
D. Romero, and F.B. Vernadat, 2016. Future perspectives on next generation enterprise
information systems. Computers in Industry, 79(1).
A. Sobczak, 2013, September. Methods of the assessment of enterprise architecture practice
maturity in an organization. In International Conference on Business Informatics
Research (pp. 104-111). Springer, Berlin, Heidelberg.
A. Fleischmann, U. Kannengiesser, W. Schmidt, and C. Stary, 2013, November. Subject-
oriented modeling and execution of multi-agent business processes. In 2013 IEEE/WIC/ACM
International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies
(IAT) (Vol. 2, pp. 138-145). IEEE.
A. Fleischmann, W. Schmidt, C. Stary, S. Obermeier, and E. Börger, 2012. Subject-oriented
business process management. Springer Science & Business Media.
G. Weichhart, and D. Wachholder, 2014, April. On the interoperability contributions of S-
BPM. In International Conference on Subject-Oriented Business Process Management (pp.
3-19). Springer, Cham.
G. Weichhart, W. Guédria, and Y. Naudet, 2016. Supporting interoperability in complex
adaptive enterprise systems: A domain specific language approach. Data & Knowledge
Engineering, 105, pp.90-106.
D. Romero, and F.B. Vernadat, 2016. Future perspectives on next generation enterprise
information systems. Computers in Industry, 79(1).
A. Sobczak, 2013, September. Methods of the assessment of enterprise architecture practice
maturity in an organization. In International Conference on Business Informatics
Research (pp. 104-111). Springer, Berlin, Heidelberg.
A. Fleischmann, U. Kannengiesser, W. Schmidt, and C. Stary, 2013, November. Subject-
oriented modeling and execution of multi-agent business processes. In 2013 IEEE/WIC/ACM
International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies
(IAT) (Vol. 2, pp. 138-145). IEEE.
A. Fleischmann, W. Schmidt, C. Stary, S. Obermeier, and E. Börger, 2012. Subject-oriented
business process management. Springer Science & Business Media.
G. Weichhart, and D. Wachholder, 2014, April. On the interoperability contributions of S-
BPM. In International Conference on Subject-Oriented Business Process Management (pp.
3-19). Springer, Cham.
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