A Product Life Cycle Ontology for Additive Manufacturing

The manufacturing industry is evolving rapidly, becoming more complex, more interconnected, and more geographically distributed. Competitive pressure and diversity of consumer demand are driving manufacturing companies to rely more and more on improved knowledge management practices. As a result, multiple software systems are being created to support the integration of data across the product life cycle. Unfortunately, these systems manifest a low degree of interoperability, and this creates problems, for instance when different enterprises or different branches of an enterprise interact. Common ontologies (consensus-based controlled vocabularies) have proved themselves in various domains as a valuable tool for solving such problems. In this paper, we present a consensus-based Additive Manufacturing Ontology (AMO) and illustrate its application in promoting re-usability in the field of dentistry product manufacturing

Achieving manufacturing excellence through the integration of enterprise systems and simulation

This paper discusses the significance of the enterprise systems and simulation integration in improving shop floor’s short-term production planning capability. The ultimate objectives are to identify the integration protocols, optimisation parameters and critical design artefacts, thereby identifying key ‘ingredients’ that help in setting out a future research agenda in pursuit of optimum decision-making at the shop floor level. While the integration of enterprise systems and simulation gains a widespread agreement within the existing work, the optimality, scalability and flexibility of the schedules remained unanswered. Furthermore, there seems to be no commonality or pattern as to how many core modules are required to enable such a flexible and scalable integration. Nevertheless, the objective of such integration remains clear, i.e. to achieve an optimum total production time, lead time, cycle time, production release rates and cost. The issues presently faced by existing enterprise systems (ES), if properly addressed, can contribute to the achievement of manufacturing excellence and can help identify the building blocks for the software architectural platform enabling the integration

An approach to resource modelling in support of the life cycle engineering of enterprise systems

Enterprise modelling can facilitate the design, analysis, control and construction of contemporary enterprises which can compete in world-wide Product markets. This research involves a systematic study of enterprise modelling with a particular focus on resource modelling in support of the life cycle engineering of enterprise systems. This led to the specification and design of a framework for resource modelling. This framework was conceived to: classify resource types; identify the different functions that resource modelling can support, with respect to different life phases of enterprise systems; clarify the relationship between resource models and other modelling perspectives provide mechanisms which link resource models and other types of models; identify guidelines for the capture of information - on resources, leading to the establishment of a set of resource reference models. The author also designed and implemented a resource modelling tool which conforms to the principles laid down by the framework. This tool realises important aspects of the resource modeffing concepts so defined. Furthermore, two case studies have been carried out. One models a metal cutting environment, and the other is based on an electronics industry problem area. In this way, the feasibility of concepts embodied in the framework and the design of the resource modelling tool has been tested and evaluated. Following a literature survey and preliminary investigation, the CIMOSA enterprise modelling and integration methodology was adopted and extended within this research. Here the resource modelling tool was built by extending SEWOSA (System Engineering Workbench for Open System Architecture) and utilising the CIMBIOSYS (CINI-Building Integrated Open SYStems) integrating infrastructure. The main contributions of the research are that: a framework for resource modelling has been established; means and mechanisms have been proposed, implemented and tested which link and coordinate different modelling perspectives into an unified enterprise model; the mechanisms and resource models generated by this research support each Pfe phase of systems engineering projects and demonstrate benefits by increasing the degree to which the derivation process among models is automated

Developing a Model-Based Systems Engineering (MBSE) Land Domain Construct for Marine Corps Systems Command

NPS NRP Technical ReportThe purpose of this research is to consider four major areas for designing and analyzing an ontology, and conceptual data model (CDM) that can be applied across the Land Domain. Focus area 1 considers the importance of designing a generic (simple) ontology that comprehensively represents the system across the lifecycle. As such, an ontology that will serve as the foundation of the Land Domain will be described. Focus area 2 analyzes the relationships between entities defined within the ontology. System structure identifies the elements of the system that connect and interact with each other to achieve the system's purpose, and depicts how behavior will emerge within the system. A previously developed generic CDM will be analyzed, and further defined where needed, to serve as the basis of a common terminology and structure for the Land Domain. Focus area 3 considers the ontology as a foundation for an authoritative source of truth. This research will demonstrate the utility of having authoritative data within a defined structure, and validate the generic ontology and CDM using an example mission thread. Finally, focus area 4 will design a roadmap (modeling plan) depicting the recommended path to transition from document-based systems engineering to a true MBSE-based Land Domain.Marine Corps Systems Command (MARCORSYSCOM)This research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrpChief of Naval Operations (CNO)Approved for public release. Distribution is unlimited.

RQ-Tech, A Strategic-Level Approach for Conceptualizing Enterprise Architectures

The purpose of this study is to present a system-theoretic based methodology and corresponding model for Enterprise Architecture development. Enterprise Architecture models can assist managers by illustrating the systemic relationships of their business and the impact their decisions can make. Unfortunately, today\u27s modeling practices are proprietary, time-consuming, and generally ineffective as tools for communicating strategic-level planning across and down all levels of the enterprise. This research explored the most significant factors that must be considered when translating authoritative text and rich pictures of business doctrine into semantic models. An ontology, namely RQ-Tech, was used to parse and tag representative samples of strategic, operational, and tactical Department of Defense Joint doctrine publications and the results were analyzed with respect to how well the data could represent a holistic model of the business enterprise. The results of this research have the potential to add to the existing body of knowledge in systems theory, systems-based methods, and software engineering by expanding the domain of systems methodologies useful for assessment and evaluation of complex systems. This generalizable and transportable framework, the RQ-Tech methodology, was found to be useful for focusing attention on solving the right business enterprise problems

Novel processes for smart grid information exchange and knowledge representation using the IEC common information model

This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.The IEC Common Information Model (CIM) is of central importance in enabling smart grid interoperability. Its continual development aims to meet the needs of the smart grid for semantic understanding and knowledge representation for a widening domain of resources and processes. With smart grid evolution the importance of information and data management has become an increasingly pressing issue not only because far more data is being generated using modern sensing, control and measuring devices but also because information is now becoming recognised as the ‘integral component’ that facilitates the optimal flexibility required of the smart grid. This thesis looks at the impacts of CIM implementation upon the landscape of smart grid issues and presents research from within National Grid contributing to three key areas in support of further CIM deployment. Taking the issue of Enterprise Information Management first, an information management framework is presented for CIM deployment at National Grid. Following this the development and demonstration of a novel secure cloud computing platform to handle such information is described. Power system application (PSA) models of the grid are partial knowledge representations of a shared reality. To develop the completeness of our understanding of this reality it is necessary to combine these representations. The second research contribution reports on a novel methodology for a CIM-based model repository to align PSA representations and provide a knowledge resource for building utility business intelligence of the grid. The third contribution addresses the need for greater integration of information relating to energy storage, an essential aspect of smart energy management. It presents the strategic rationale for integrated energy modeling and a novel extension to the existing CIM standards for modeling grid-scale energy storage. Significantly, this work has already contributed to a larger body of work on modeling Distributed Energy Resources currently under development at the Electric Power Research Institute (EPRI) in the USA.Dr. Martin Bradley on behalf of National Grid Plc. and the Engineering and Physical Sciences Research Council (EPSRC

The RQ-Tech Methodology: A New Paradigm for Conceptualizing Strategic Enterprise Architectures

The purpose of this research is to develop and apply a system-theoretic based methodology and corresponding model for Enterprise Architecture development. Enterprise Architectures can assist managers by illustrating the systemic relationships within an organization and the impact changes to the organization could make. Unfortunately, today\u27s modeling practices are proprietary, time-consuming, and generally ineffective as tools for understanding the consequences of strategic-level planning decisions across all levels of the enterprise. This research supports the conclusion that system-specific solutions produce islands of technology and can be prevented by employing better enterprise change planning. This research combined the practice of Enterprise Architectures with a modern perspective grounded in Systems Theory and the theory regarding the computer science-oriented Semantic Web to present a distinctive methodology for developing models. A review of literature in all three areas provided an illustration of the overlap common to all three domains. It provided support for critical thinking concerning how to enrich the Enterprise Architecture practice. This research was conducted to answer to two primary questions. The first research question investigated the most significant factors to consider when translating authoritative text and rich pictures into semantic models. The second research question qualitatively measured the extent to which models aligned to important organizational guidance are useful for representing the organization as a whole. Reusable Quality Technical Architectures (RQ-Tech) is the methodology developed from this research. It demonstrates that a complex system of systems organization that must creatively respond to a variety of events can be holistically represented using a dynamic model. RQ-Tech techniques provide ways to map and link the multitudes of scope-level authoritative business documents so that together they can effectively represent the nature and essence of the organization as one organic structure. The marriage of authorized enterprise documentation and the Semantic Web produces a model of the holistic enterprise. This model had previously only been experienced at a tacit level by those exceptionally well-trained in the depth and breadth of organizational culture, supporting laws, policies and related publications. This research effort provides the vision that encourages a paradigm shift away from the mechanistic approach toward organizational change to analogy of a socially connected, interdependent enterprise. New horizons for using the common language of the Semantic Web to capture an understanding of the many interactive systems of the enterprise are substantiated. The research concludes with identification of future research themes prompted by this investigation