The 1996 Johnson stakeholder review of Australian engineering education recommended the development of a number of broadly defined attributes in all engineering graduates. The Institution of Engineers, Australia (now Engineers Australia) responded swiftly by switching the focus of its engineering course accreditation requirements from course content to graduate attribute outcomes. To maximise the effectiveness of this approach to the mechanical engineering discipline a clear understanding of the relative significance of a more detailed range of attributes to Australian industry is essential, yet the scope of the mechanical engineering profession is broad and views of individual practitioners contributing to debate on attribute requirements are largely influenced by their own often unique professional formation. The research presented in this thesis is unique in using a role based analysis of the relative significance of an extensive range of attributes considered relevant to Australian mechanical engineers. The study covers the six industries found to employ the greatest number of Australian mechanical engineers. The significance of these attributes in the core mechanical engineering roles of each industry are weighted according to the numbers of mechanical engineers employed in those roles. These attribute significance profiles are considered in the context of a study of the formative development of the profession under the extensive influence of 19th and 20th century UK and US practices and recent momentous changes in engineering employment and formation. A wide range of appropriate teaching strategies to develop the most significant attributes through proximal and distance learning are explored and a brief account of the candidate’s work in developing and assessing the use of technology to enhance flexible learning in the field of engineering education is also included in this thesis. Whilst major areas of the mechanical engineers knowledge base are considered as part of the main study, further case study based research is presented to assess in more detail the knowledge base requirements for Australia’s best performing manufacturing industry by ‘industry value added’ - Food, Beverage and Pharmaceuticals and as such provides an indication of the relevance of the content base of Australian mechanical (as well as chemical and electrical) engineering degree programs to an Australian industry sector.

No description available.

Thesis (Ph.D.)--University of Central Florida, 2008. / Advisers: Waldemar Karwowski, Linda Malone. Includes bibliographical references (p. 156-169).

Knowledge Based System (KBS) development is a difficult and challenging task, in particular in knowledge intensive domains. The traditional view of knowledge engineering is one of mining experts' knowledge and somehow transforming it into a machine usable form. This process, in general, suffers from insufficient or misconstrued representation of experts' problem solving behaviour. It is also unstructured and unduly biased at an early stage by design and implementation issues - normally in the form of incremental prototyping. We believe that both knowledge acquisition and KBS development for real life applications will require a 'structured' approach. This approach should harness a KBS developer's ability in extracting knowledge and developing systems. The structure should also be sufficiently flexible to allow the knowledge engineer to use his sense of creativity in developing a KBS. This thesis puts forward such a structured approach, in which KBS development is carried out in an engineering fashion. A process in which the worker is provided with an environment for developing knowledge based systems as an engineering process, as opposed to that of an artform or crafting. The main emphasis of this work is that part of the process which deals with the analysis and design phases in developing KBS. The analysis is performed at an 'epistemological' level, not coloured by design or implementation issues. The output of this phase captures both an expert's problem solving capability, and the business constraints placed upon the intended system. This is then used by the design process in order to create an optimal, workable, and elegant design architecture for the ultimate system.

The enterprises that deliver capability are trying to evolve into through-life businesses by shifting away from the traditional pattern of designing and manufacturing successive generations of products, towards a new paradigm centred on support, sustainability and the incremental enhancements of existing capabilities from technology insertions and changes to process. The provision of seamless through-life customer solutions depends heavily on management of information and knowledge between, and within the different parts of the supply chain enterprise. This research characterised and described Capability Engineering (CE) as applied in the defence enterprise and identified to BAE Systems important considerations for managing knowledge within that context. The terms Capability Engineering and Through Life Capability Management (TLCM), used synonymously in this thesis, denote a complex evolving domain that requires new approaches to better understand the different viewpoints, models and practices. The findings and novelty of this research is demonstrated through the following achievements: • Defined the problem space that Requirements Engineers can use in through-life management projects. • Made a contribution to the development of models for Systems Architects to enable them to incorporate 'soft' systems within their consideration. • Independently developed a TLCM activity model against which BAE Systems validated the BAE Systems TLCM activity model, which is now used by UK Ministry of Defence (MoD). • Developed, and published within INCOSE1, the INCOSE Capability Engineering ontology. • Through the novel analysis of a directly applicable case study, highlighted to Functional Delivery Managers the significance of avoiding the decoupling of information and knowledge in the context of TLCM. • Through experimentation and knowledge gained within this research, identified inadequacies in the TechniCall (rapid access to experts) service which led to the generation of requirements for an improved service which is now being implemented by BAE Systems. The results showed that managing knowledge is distinct when compared to information management. Over-reliance on information management in the absence of tacit knowledge can lead to a loss in the value of the information, which can result in unintended consequences. Capability is realised through a combination of component systems and Capability Engineering is equivalent to a holistic perspective of Systems Engineering. A sector-independent Capability Engineering ontology is developed to enable semantic interoperability between different domains i.e. defence, rail and information technology. This helped to better understand the dependencies of contributing component systems within defence, and supported collaboration across different domains. Although the evaluation of the ontology through expert review has been accomplished; the ontology, KM analysis framework and soft systems transitioning approach developed still need to undergo independent verification and validation. This requires application to other case studies to check and exploit their suitability. This Engineering Doctorate research has been disseminated through a number of peer reviewed publications.

This PhD project aims to develop a cost modelling system to support lean product and process development. The system enables the designers to assess the design along with associated manufacturing processes and provides decision support at an early development stage. Design assessment at early development stage can help designers to take proactive decisions, eliminate mistakes and enhance product value. The developed cost modelling system to support lean product and process development incorporates three lean product and process development enablers, namely set-based concurrent engineering, knowledge-based engineering, and mistake-proofing (poka-yoke). To facilitate above explained lean enablers, the system architecture contains six modules, six separate groups of database, a CAD modelling system, and a user interface. The system modules are: (i) value identification; (ii) manufacturing process/machines selection; (iii) material selection; (iv) geometric features specification; (v) geometric features and manufacturability assessment; and (vi) manufacturing time and cost estimation. The group of database includes: (i) geometric features database, (ii) material database, (iii) machine database, (iv) geometric features assessment database, (v) manufacturability assessment database, and (vi) previous projects cost database. A number of activities have been accomplished to develop the cost modelling system. Firstly, an extensive literature review related to cost estimation, and lean product and process development was performed. Secondly, a field study in European industry and a case study analysis were carried out to identify current industrial practices and challenges. Thirdly, a cost modelling system to support lean product and process development was developed. Finally, validation of the system was carried out using real life industrial case studies. The system provides a number of benefits, as it enables designers to incorporate lean thinking in cost estimation. It takes into consideration downstream manufacturable process information at an early upstream stage of the design and as a result the designer performs the process concurrently and makes decisions quickly. Moreover, the system helps to avoid mistakes during product features design, material and manufacturing process selection, and process parameters generation; hence it guides toward a mistake-proof product development. The main feature of the system, in addition to manufacturing cost estimation, is set-based concurrent engineering support; because the system provides a number of design values for alternative design concepts to identify the feasible design region. The major contribution of the developed system is the identification and incorporation of three major lean product and process development enablers, namely set-based concurrent engineering, knowledge-based engineering and poka-yoke (mistake-proofing) in the cost modelling system. A quantification method has been proposed to eliminate the weaker solution among several alternatives; therefore only the feasible or strong solution is selected. In addition, a new cost estimation process to support lean product and process development has been developed which assists above explained three lean product and process development enablers.

Mechanical assembly is an important step during product realization, which is an integrative process that brings together the parts of the assembly, the people performing the assembly and the various technologies that are involved. Assembly planning involves deciding on the assembly sequence, the tooling and the processes to be used. Assembly planning should enable the actual assembly process to be as effective as possible.Assembly plans may have to be revised due to issues arising during assembly. Many of these revisions can be avoided at the planning stage if assembly planners have prior knowledge of these issues and how to resolve them. General guidelines to make assembly easier (e.g. Design for Assembly) are usually suited for mass-manufactured assemblies and are applied where similar issues are faced regularly. However, for very specific issues that are unique to some domains only, such as aircraft assembly, only expert knowledge in that domain can identify and resolve the issues. Assembly experts are the sources of knowledge for identifying and resolving these issues. If assembly planners could receive assembly experts’ advice about the potential issues and resolutions that are likely to occur in a given assembly situation, they could use this advice to revise the assembly plan in order to avoid these issues. This link between assembly experts and planners can be provided using knowledge based systems. Knowledge-based systems contain a knowledge base to store experts’ knowledge, and an inference engine that derives certain conclusions using this knowledge. However, knowledge acquisition for such systems is a difficult process with substantial resistance to being automated. Methods reported in literature propose various ways of addressing the problem of automating knowledge acquisition. However, there are many limitations to these methods, which have been the motivations for the research work reported in this thesis. This thesis proposes a dialog-like method of questioning an expert to automatically acquire knowledge from assembly experts. The questions are asked in the context of an assembly situation shown to them. During the interviews, the knowledge required for diagnosing potential issues and resolutions are identified. The experts were shown a situation, and asked to identify issues and suggest solutions. The above knowledge is translated into the rules for a knowledge based system. This knowledge based system can then be used to advise assembly planners about potential issues and solutions in an assembly situation. After a manual verification, the questioning procedure has been implemented on computer as a software named EXpert Knowledge Acquisition and Validation (ExKAV). A preliminary evaluation of ExKAV has been carried out, in which assembly experts interacted with the tool using the researcher as an intermediary. The results of these sessions have been discussed in the thesis and assessed against the original research objectives. The current limitations of the procedure and its implementation have been highlighted, and potential directions for improving the knowledge acquisition process are discussed.

<p>Managing the highly dynamic and interdependent systems within a district energy system is an intricately complex undertaking. A district energy manager is expected to make decisions that will result in the achievement of the district’s goals, often with limited capital and personnel resources. What has been lacking in the tools available to a district energy manager is an established decision-making framework with which to process the complex internal and external variables involved to effectively develop and evaluate options to make successful decisions.<br><a></a></p> <p> </p> <p>While capitalizing on the experience of seasoned district energy managers and a literature review of current methodologies, this dissertation assesses the strengths and weaknesses of the methodologies currently available to managers of district energy systems and presents a new and more comprehensive decision-making framework. A system of systems engineering approach is applied, and multiple relevant case studies are analyzed. Procedures for significantly mitigating many of the external risks to a district energy system are developed and documented. </p> <p> </p> <p>The main contribution of this dissertation is a unique decision-making framework with a holistic approach encompassing the complexity, emergence, and interdependency of district energy subsystems. This framework will aid a district energy manager in making successful decisions which meet the goals of the district.</p>

Tutoring is one of the most effective instruction methods. Computer as an Intelligent Tutor is an area of research since many decades. Technology advancement in Information and Communication Technology (ICT) can be used in developing Web – based Intelligent Tutoring System (WITS), which provides individualized tutoring at the same time to large number of students geographically distributed. Intelligent Tutoring System requires knowledge representation of expert, student and instructional strategy. While web technology promises many attractive features to build web based ITS, it would still be a challenge to represent knowledge objects that are scalable, reusable and platform independent. It is required to derive generalized knowledge representation framework which can be used in developing WITS for many courses. This research work proposes an instruction System Design (ISD) model based framework in development of WITS for Control Systems. ADDIE model is selected in development of WITS. Front end analysis is conducted to identify the learning goals of a course. Proposed research work presents a Bloom - Vincenti framework for preparing learning objectives for engineering courses. Problem Based Learning (PBL) is selected as instruction strategy. Then it presents an ontology based knowledge representation framework for expert module, tutoring module, and student module. Ontology for expert module is proposed on the course structure, instruction system, instruction material ontology, and Bloom – Vincenti Taxonomy. Ontology for student module is also proposed on course structure and Bloom – Vincenti Taxonomy. Tutoring module consists of ontology about the facts of the instruction material and rule base based on the categories of engineering knowledge (Vincenti) and cognitive skill (Bloom’s Taxonomy). Proposed way of knowledge representation supports scalability, and reusability. Prototype Web – based Intelligent Tutoring System for first level course on Control Systems is developed. JAVA technology used in development of Web – based Intelligent Tutoring System (WITS), makes WITS platform independent. Web – based Intelligent Tutoring System for Control Systems is deployed at laboratory level and its efficacy is tested for first two modules of a course.