Modern organizations are faced with the very challenging problem of rapidly responding to continual external business pressures in order to sustain their competitiveness or to effectively perform mission-critical services. Difficulties arise because the continual evolution of systems and operational procedures that are performed in response to the external pressures eventually lead to sub-optimal configurations of the systems and processes that drive the organization.
The management of continuous business change is complicated by the current lack of effective mechanisms for rapidly responding to multiple change drivers.The use of inadequate change management methods and technologies introduces accidental complexities that significantly drive up the cost, risk and effort of making changes. These problems provide opportunities for developing and applying organization modeling approaches that seek to improve an organization’s ability to effectively evolve in response to changes in its business environment.
Modeling an organization to better support organizational evolution leads to what we call a Model Driven Organization (MDO), where an MDO is an organization where models are the primary means for interacting with, and evolving the systems that drive it.
def: A Model Driven Organization uses models in the analysis, design, simulation, delivery, operation, and maintenance of systems to address its strategic, tactical and operational needs and its relation to the wider environment.
An organization’s Enterprise Systems (ES) support a wide-range of business activities including planning, business intelligence, operationalization and reporting. ES are thus pivotal to a company’s competitiveness. Modeling technologies and approaches that address the development, analysis, deployment and maintenance of ES have started to emerge. Such technologies and approaches must support a much broader collection of use-cases than traditional technologies for systems design modeling. Current ES architectures do not adequately address the growing demands for inter-organizational collaboration, flexibility and advanced decision support in organizations.
Realizing the MDO vision will require research that cross-cuts many areas,including research on enterprise architectures, business process, work modeling, system requirements and design modeling, meta modeling, and models at run-time.
My workshop on AMINO – TowArds the Model DrIveN Organization, at MODELS 2013, seeks to bring together researchers and practitioners from a variety of MDD research domains to discuss the need, feasibility challenges and proposed realizations of aspects of this MDO vision.
This workshop aims to provide a forum to report and discuss advances and current research questions in applying modelling technologies to organizations in order to substantially improve their flexibility and economics.
I hope those of you who are at MODELS this year, make it to AMINO. I will also share updates from the workshop and conference here.
Vinay Kulkarni, Chief Scientist, TRDDC, Pune
Vinay is a Chief Scientist at Tata Consultancy Services. His research interests include model-driven software engineering, self-adaptive systems, and enterprise modeling. His work in model-driven software engineering has led to a toolset that has been used to deliver several large business-critical systems over the past 15 years. Much of this work has found way into OMG standards, three of which Vinay contributed to in a leadership role. Vinay has several patents to his credit, and has authored several papers in scholastic journals and conferences worldwide. A Visiting Professor at Middlesex University, London, Vinay serves on several program committees of international conferences. An alumnus of Indian Institute of Technology Madras, he can be reached at Tata Research Development and Design Centre, Pune, India.