Design determines 70% of cost? A review of implications for design evaluation

This paper disputes the fact that product design determines 70% of costs and the implications that follow for design evaluation tools. Using the idea of decision chains, it is argued that such tools need to consider more of the downstream business activities and should take into account the current and future state of the business rather than some idealized view of it. To illustrate the argument, a series of experiments using an enterprise simulator are described that show the benefit from the application of a more holistic 'design for' technique. Design For the Existing Environment.

The role of science in policy making

This thesis aims to consider the role played by science in policy making. Firstly, two decision models are considered, synoptic rationality which depends heavily on formal information and comprehensive planning, and disjointed incrementalism, under which decisions are made in a fragmented and remedial manner via the interaction of interested partisans and with little necessity for formal information. Secondly, different descriptions of scientific activity are discussed and a broadly Kuhnian view of science is supported, with what is regarded as a `fact' being heavily influenced by social factors. It is suggested that scientific controversies are more likely to occur in policy related science but for reasons that are intrinsic to science rather than due to some correctable aberration. A number of case studies, including two `in-depth' studies into maternal deprivation and the relationship between hyperactivity and food additives, support this contention and also show that whilst scientific findings can raise issues they cannot aid in the resolution of these as the synoptic model suggests that they should. Instead information supports and legitimates value based policy views, with actual policy decisions arrived at via negotiation and aiming at a balancing of partisan pressures, as suggested by the incremental model. Not only does information not aid the resolution of policy disputes, it cannot do so. When policy is disputed, scientific findings are also likely to be disputed and further research merely attracts more highly destructive criticism. This is termed the over critical model. When policy is decided then there is reduced impetus to critically test scientific ideas; this is termed the under critical model. Both of these situations act to the detriment of science. The main conclusion drawn is that the belief that science is essential to decision making is misleading and may serve to mask rather than illuminate areas of dispute.