Elyes Lamine

Conceptual model of risk: towards a risk modeling language

Nowadays organisations are subjects to frequent changes requiring continuous strategic alignment of business processes subject to increasing compliance requirements. We suggest a holistic integration of process management and risk management supporting a robust management of business processes while improving organisations resilience. The integration is based on a conceptual integration of risks and processes through meta-models. This paper is about a unified conceptual model of risk, which is a foundation for defining a semi-formal risk modelling language.

A Semantic Reasoning Method Towards Ontological Model for Automated Learning Analysis

Semantic reasoning can help solve the problem of regulating the evolving and static measures of knowledge at theoretical and technological levels. The technique has been proven to enhance the capability of process models by making inferences, retaining and applying what they have learned as well as discovery of new processes. The work in this paper propose a semantic rule-based approach directed towards discovering learners interaction patterns within a learning knowledge base, and then respond by making decision based on adaptive rules centred on captured user profiles. The method applies semantic rules and description logic queries to build ontology model capable of automatically computing the various learning activities within a Learning Knowledge-Base, and to check the consistency of learning object/data types. The approach is grounded on inductive and deductive logic descriptions that allows the use of a Reasoner to check that all definitions within the learning model are consistent and can also recognise which concepts that fit within each defined class. Inductive reasoning is practically applied in order to discover sets of inferred learner categories, while deductive approach is used to prove and enhance the discovered rules and logic expressions. Thus, this work applies effective reasoning methods to make inferences over a Learning Process Knowledge-Base that leads to automated discovery of learning patterns/behaviour.

A System Architecture Supporting the Agile Coordination of Homecare Services

Dependent people (especially the elderly) are nowadays surrounded by various health services, as well as by social and multi-technology monitoring devices. The PASPORD research project focuses on improving the management of processes involved in home care. These processes are known to be collaborative: their activities spread over different organizations, are carried out by diverse health or logistical actors. These activities must be coordinated by an integrated system, which is the purpose of the present project. However, the deployment of such a process takes place in a very dynamic and uncertain environment. In this paper, we seek to characterize and model this complex process. On the basis of its features, we define the principles of a system architecture to support the collaboration between the stakeholders and provide agility to overcome difficulties induced by its specificity.

Collaborative Process Driven Risk Management for Enterprise Agility

Small-medium enterprises (SMEs) gain their strengths from flexible market orientation, agile value chains and cluster-based innovation capacity. The changing global business environment challenges organizations to aim for agility and performance driven management through process focused thinking. For the future collaboration of SMEs with their partners, the agility aim of the Digital Ecosystem paradigm demands for an explicit risk management and collaboration support. This involves an explicit management of the business process by combining continuous process improvement and process reengineering. However, the outcome of process management effort is risky because of the lack of operational information about the future process. The paper analyzes the possible contribution of risk management to support the management of business processes in order to increase the maturity of organizations. The concept is applied in a process simulation example for furniture production. Collaboration support is provided to allow the real-time sharing and interaction of the parties involved, e.g. in case of deviations from the agreed upon target process.

Ontology-Based Workflow Design for the Coordination of Homecare Interventions

ICT are recognized as key opportunity to improve healthcare practices ,in the homecare domain particularly in relation to care interventions. However, despite all the advances accomplished in this field, a problem of coordination and continuity of personalized care remains. Given these needs, workflow management systems appear to be an appropriate tool for supporting the communication between the different stakeholders involved in the homecare ecosystem. Nevertheless, the specific characteristics of homecare processes make the design of such workflows a real challenge. In order to help with the conception of these workflows, we propose in this paper an approach based on ontology matching between homecare domain models and semantic representation of Business Process Modeling Notations (BPMN). This approach leads to the design of custom workflow coordinated interventions for a given patient according to his profile.

A model driven engineering approach for business continuity management in e-Health systems

Nowadays e-Health systems recognize the benefits of new Information and Communication Technology (ICT) in the delivery of healthcare services. While these modern technologies have enhanced practices in the healthcare sector, the potential of failures to interrupt a process is still important. This risk of system downtime may induce significant impacts on patient safety. Thus, ensuring business resilience has proven to be increasingly challenging as the healthcare field employs more ICT applications and all signs for the future point to even more reliance on digital data. In this context, we propose an approach based on Business Continuity Management (BCM) to ensure the ability to operate in spite of unforeseen events and to quickly recover from any type of business interruption. The basic purpose of this paper is to define a formal description of a Business Continuity Plan (BCP), following an approach grounded in Model-Driven Engineering (MDE).

Risk driven process engineering in digital ecosystems: Modelling risk

Organizations are looking for enhanced agility, which is promoted by enterprise engineering approaches. Since the business environment is becoming more and more unpredictable, business process management as part of enterprise engineering is supposed to tackle value creation challenges but also the ones related to value preservation. The aim for agility and required approaches are an essential requirement for many Digital Ecosystem Domains, such as in The Future of Energy. Here, procurers of energy have to be orchestrated in the Energy Market. Our research emphasizes risk driven business process design. A graphical modelling language for risk driven business process engineering was introduced in former papers. This paper extends the language and handles questions related to modelling risk in an organizational context.

Aspects of the BPRIM Language for Risk Driven Process Engineering

Nowadays organizations are exposed to frequent changes in business environment requiring continuous alignment of business processes on business strategies. This agility requires methods promoted in enterprise engineering approaches. Risk consideration in enterprise engineering is getting important since the business environment is becoming more and more competitive and unpredictable. Business processes are subject to the same quality requirements as material and human resources. Thus, process management is supposed to tackle value creation challenges but also the ones related to value preservation. Our research considers risk driven business process design as an integral part of enterprise engineering. A graphical modelling language for risk driven business process engineering was introduced in former research. This paper extends the language and handles questions related to modelling risk in organisational context.

Business Process and Risk Models Enrichment: Considerations for Business Intelligence

Business intelligence (BI) as a paradigm with methods and tools substantially improves decisions with regard to business evolutions. Through the emerging business process management approaches, it becomes possible to link BI-tools with the underlying process models. This paper explains how process models can be enriched with risk models in the context of business intelligence.

Towards a semi-formal modeling language supporting collaboration between risk and process manager

Nowadays organisations are subjects to frequent changes requiring continuous alignment of business processes. In the adaptive digital business ecosystems (DBEs), agile value chains and the cluster-based bundling of business partners are an essential characteristic. While the resulting flexibility holds opportunities, it increases initially uncertainty. In order to support such organisations to increase their maturity, we suggest a synchronisation of the lifecycles of process management and risk management by integrating both processes. This integration is based on a common modelling language. From the process management perspective, there are number of semi-formal modelling languages while these are missing for risk management. This paper is about a semi-formal modelling language supporting collaboration between the risk management team and the process management one. The synchronised lifecycle appears therefore as the collaboration mechanism coordinating the activities of the heterogeneous team.