A conditional analytic technique for evaluating interdependent decisions, based on Bellman's 'Principle of Optimality' is proposed. The procedure computes both the present and future impacts of a decision and permits: (1) each decision to be evaluated independently; (2) an accurate and more...

Although quadratic programming (QP) is often studied as a methodology by decision scientists, little emphasis seems to be given to the type of decision science problems that can be so modeled. This paper reviews and extends some of the applied and methodological areas where QP is applicable,...

A primary cause for the failure of both formal and informal management information systems to live up to expectations stems from the designer's lack of awareness or improper conception of the interfaces existing between information and man, its user. This underscores the need for a better...

Motivated by an aggregate production-planning problem in an actual global manufacturing network, we examine the impact of exchange-rate uncertainty on the choice of optimal production policies when the allocation decision can be deferred until the realization of exchange rates. This leads to the...