Robustness and Optimality as Criteria for Strategic Decisions

TLDR: In this paper, the authors discuss the nature of the problem situations for which alternative decision criteria are more appropriate than optimality as an operational research criterion and develop a measure of the flexibility which an initial decision of a plan maintains for achieving near-optimal states in conditions of uncertainty.

Abstract: The use of "optimality" as an operational research criterion is insufficiently discriminating. Ample evidence exists that for many problems simple optimization (particularly profit maximization) does not represent the aims of management. In this paper we discuss the nature of the problem situations for which alternative decision criteria are more appropriate. In particular the structure of strategic planning problems is analysed. The provisional commitment involved in a plan (in contrast to the irrevocable commitment of a decision) leads to the development of a particular criterion, robustness—a measure of the flexibility which an initial decision of a plan maintains for achieving near-optimal states in conditions of uncertainty. The robustness concept is developed through the case study of a sequential factory location problem.