A simulation comparison of methods for new product location

Includes bibliographical references (p. 29-31)

Random polytopes: Their definition, generation and aggregate properties

The definition of random polytope adopted in this paper restricts consideration to those probability measures satisfying two properties. First, the measure must induce an absolutely continuous distribution over the positions of the bounding hyperplanes of the random polytope; and second, it must result in every point in the space being equally as likely as any other point of lying within the random polytope. An efficient Monte Carlo method for their computer generation is presented together with analytical formulas characterizing their aggregate properties. In particular, it is shown that the expected number of extreme points for such random polytopes increases monotonically in the number of constraints to the limiting case of a polytope topologically equivalent to a hypercube. The implied upper bound of 2 n where n is the dimensionality of the space is significantly less than McMullen's attainable bound on the maximal number of vertices even for a moderate number of constraints.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/47911/1/10107_2005_Article_BF01585093.pd

A simulation comparison of methods for new product location / BEBR No.932

Bibliography: p. [38]-39

Diffstrat : an analytical procedure for generating optimal new product concepts for a differentiated-type strategy

Includes bibliographical references (p.26-28)

Using Operational Planning Horizons for Determining Setup Changes

scheduling horizons decision support systems operations management

Reply

Reply to commentaries (Dodson, J. A., J. B. Brodsky. 1987. Commentary. 202–203 and Johnson, R. M. 1987. Commentary. 204–205.) to authors' paper (Sudharshan, D., J. H. May, A. D. Shocker. 1987. A simulation comparison of methods for new product location. 182–201.).