Not AvailableResponse Surface Methodology (RSM) approximates the relationship between one or more response
variables and a set of experimental variables or factors. In RSM, it is generally assumed that the observations
are independent and there is no effect of neighbouring units. But under the situation when the units are placed
linearly with no gaps there is high possibility of overlapping or neighbour effects from the adjacent units. So
including these effects into the model is of great importance in deciding the precision of the experiment. Further,
availability of resources and size of the experiment is important factor in conducting an experiment. As the size
increases, cost involved in conducting the experiment increases, thereby decreasing the precision of the
experiment. In this study, response surface designs incorporating neighbour effects have been considered.
Method of constructing First Order Rotatable Designs with Differential Neighbour Effects (FORDDNE) has
been developed in smaller number of runs.Not Availabl
