Leadership and institutional factors in endogenous regional economic development

Literature on the relationship between leadership and entrepreneurship as it applies to endogenous growth in a regional context is reviewed and used to explore a research agenda for work on this topic. A leadership/entrepreneurship analytical approach is developed and applied on a pilot basis to the Greater Washington D.C. region and its sub-parts. The results are assessed and used to further refine the model and to identify some of the more provocative policy implications of this work. The implications for regional planning process are also considered.

Knowledge based improvement:simulation and artificial intelligence for identifying and improving human decision-making in an operations systems

The performance of most operations systems is significantly affected by the interaction of human decision-makers. A methodology, based on the use of visual interactive simulation (VIS) and artificial intelligence (AI), is described that aims to identify and improve human decision-making in operations systems. The methodology, known as 'knowledge-based improvement' (KBI), elicits knowledge from a decision-maker via a VIS and then uses AI methods to represent decision-making. By linking the VIS and AI representation, it is possible to predict the performance of the operations system under different decision-making strategies and to search for improved strategies. The KBI methodology is applied to the decision-making surrounding unplanned maintenance operations at a Ford Motor Company engine assembly plant.

The economic development case for regional governance

This article examines the economic case for a strong regional tier and suggests that further research is required to identify the level at which certain responsibilities or policy initiatives are most effectively administered.

Combining data driven programming with component based software development:with applications in geovisualisation and dynamic data driven application systems

Software development methodologies are becoming increasingly abstract, progressing from low level assembly and implementation languages such as C and Ada, to component based approaches that can be used to assemble applications using technologies such as JavaBeans and the .NET framework. Meanwhile, model driven approaches emphasise the role of higher level models and notations, and embody a process of automatically deriving lower level representations and concrete software implementations. The relationship between data and software is also evolving. Modern data formats are becoming increasingly standardised, open and empowered in order to support a growing need to share data in both academia and industry. Many contemporary data formats, most notably those based on XML, are self-describing, able to specify valid data structure and content, and can also describe data manipulations and transformations. Furthermore, while applications of the past have made extensive use of data, the runtime behaviour of future applications may be driven by data, as demonstrated by the field of dynamic data driven application systems. The combination of empowered data formats and high level software development methodologies forms the basis of modern game development technologies, which drive software capabilities and runtime behaviour using empowered data formats describing game content. While low level libraries provide optimised runtime execution, content data is used to drive a wide variety of interactive and immersive experiences. This thesis describes the Fluid project, which combines component based software development and game development technologies in order to define novel component technologies for the description of data driven component based applications. The thesis makes explicit contributions to the fields of component based software development and visualisation of spatiotemporal scenes, and also describes potential implications for game development technologies. The thesis also proposes a number of developments in dynamic data driven application systems in order to further empower the role of data in this field.

An assessment of the industry cluster approach as a tool for local economic development:the case of the new media industry in Birmingham

Industry cluster policies are a current trend in local economic development programmes and represent a major shift from traditional approaches. This trend has been coupled by an increasing interest in new media industry as a significant focus for regional development strategies. In England clusters and new media industry have therefore come to be seen as important tools in promoting local and regional economic development. This study aimed to ascertain the success of these policies. In order to achieve the aims of the study, the Birmingham new media industry was chosen for the study. In addition to an extensive review of the literature, semi-structured interviews were conducted with new media firms and Business Support Agencies (BSAs) offering programmes to promote the development of the new media industry cluster. The key findings of the thesis are that the concerns of new media industry when choosing their location do not conform to the industry cluster theory. Moreover, close proximity in geographical location of the industries does not mean there is collaboration and any costs saved as a result of close proximity to similar firms are at present seen as irrelevant because of the type of products they offer. Building trust between firms is the key in developing the new media industry cluster and the BSAs can act as a broker and provide neutral ground to develop it. The key policy recommendations are that new media industry is continually changing and research must continuously track and analyse cluster dynamics in order to be aware of emerging trends and future developments that can positively and negatively affect the cluster. Policy makers need to keep in mind that there is no uniform tool kit to foster the different sectors in cluster development. It is also important for them to be winning support and trust of new media firms since this is key in the success of the cluster. When cluster programs are introduced they must explain their benefits to industries more effectively in order to encourage them to participate in programmes. The general conclusions of the thesis are that clusters are a potentially important tool in local economic development policy and that the new media industry has a considerable growth potential. The kinds of relationships which cluster theory suggests develop between do not, as yet, appear to exist within the new media cluster. There are however, steps that the BSAs can take to encourage their development. Thus, the BSAs need to ensure that they establish an environment that enables growth of the industry.

A knowledge-based system for process planning in a seamless steel tube plant

The thesis describes the work carried out to develop a prototype knowledge-based system 'KBS-SETUPP' to generate process plans for the manufacture of seamless tubes. The work is specifically related to a plant in which hollows are made from solid billets using a rotary piercing process and then reduced to required size and finished properties using the fixed plug cold drawing process. The thesis first discusses various methods of tube production in order to give a general background of tube manufacture. Then a review of the automation of the process planning function is presented in terms of its basic sub-tasks and the techniques and suitability of a knowledge-based system is established. In the light of such a review and a case study, the process planning problem is formulated in the domain of seamless tube manufacture, its basic sub-tasks are identified and capabilities and constraints of the available equipment in the specific plant are established. The task of collecting and collating the process planning knowledge in seamless tube manufacture is discussed and is mostly fulfilled from domain experts, analysing of existing manufacturing records specific to plant, textbooks and applicable Standards. For the cold drawing mill, tube-drawing schedules have been rationalised to correspond with practice. The validation of such schedules has been achieved by computing the process parameters and then comparing these with the drawbench capacity to avoid over-loading. The existing models cannot be simulated in the computer program as such, therefore a mathematical model has been proposed which estimates the process parameters which are in close agreement with experimental values established by other researchers. To implement the concepts, a Knowledge-Based System 'KBS- SETUPP' has been developed on Personal Computer using Turbo- Prolog. The system is capable of generating process plans, production schedules and some additional capabilities to supplement process planning. The system generated process plans have been compared with the actual plans of the company and it has been shown that the results are satisfactory and encouraging and that the system has the capabilities which are useful.