The role of government research establishments : a study of the concept of public patronage for applied research and development

This thesis follows the argument that, to fully understand the current position of national research laboratories in Great Britain one needs to study the historical development of the government research establishment as a specific social institution. A particular model is outlined in which it is argued that institutional characteristics evolve through the continual interplay between internal development and environmental factors within a changing political and economic context, and that the continuous development of an institution depends on its ability to adapt to changes in its operational environment. Within this framework important historical precedents for formal government institutional support for applied research are identified. and the transition from private to public patronage documented. The emergence and consolidation of government research laboratories in Britain is described in detail. The subsequent relative decline of public laboratories is interpreted in terms of the undermining of a traditional role resulting in legitimation crisis. It is concluded that it is no longer feasible to consider the public research laboratory as a coherent institutional form, and that the future of each individual laboratory can only be considered in relation to the institutional needs of its own sphere of operation. Nevertheless the laboratories have been forced into decline in an essentially unplanned way which may have serious consequences for the maintenance of the scientific and technical infrastructures, necessary for material progress in the national context.

Setting parameters in MRP for the effective management of bought-out inventory in a JIT assembly environment

In recent years, UK industry has seen an explosive growth in the number of `Computer Aided Production Management' (CAPM) system installations. Of the many CAPM systems, materials requirement planning/manufacturing resource planning (MRP/MRPII) is the most widely implemented. Despite the huge investments in MRP systems, over 80 percent are said to have failed within 3 to 5 years of installation. Many people now assume that Just-In-Time (JIT) is the best manufacturing technique. However, those who have implemented JIT have found that it also has many problems. The author argues that the success of a manufacturing company will not be due to a system which complies with a single technique; but due to the integration of many techniques and the ability to make them complement each other in a specific manufacturing environment. This dissertation examines the potential for integrating MRP with JIT and Two-Bin systems to reduce operational costs involved in managing bought-out inventory. Within this framework it shows that controlling MRP is essential to facilitate the integrating process. The behaviour of MRP systems is dependent on the complex interactions between the numerous control parameters used. Methodologies/models are developed to set these parameters. The models are based on the Pareto principle. The idea is to use business targets to set a coherent set of parameters, which not only enables those business targets to be realised, but also facilitates JIT implementation. It illustrates this approach in the context of an actual manufacturing plant - IBM Havant. (IBM Havant is a high volume electronics assembly plant with the majority of the materials bought-out). The parameter setting models are applicable to control bought-out items in a wide range of industries and are not dependent on specific MRP software. The models have produced successful results in several companies and are now being developed as commercial products.

Operational issues in access networks:past, present, and future

Future network operation will be influenced by business and ownership models and the regulatory environment as future superfast and flexible broadband networks emerge. This paper discusses the issues affecting operators and network operations as network evolution progresses.