The kind of problems we can solve
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		    Comment programming, network analysis techniques, simulation
 
 The kind of problems we can solve1
 
 languages, systems dynamics, queueing theory, stochastic processes and forecasting techniques such as exponential smoothing.
 
 What kind of problems are we - the OR/MS community
 
 - able to treat in order to contribute to reasonable
 
 solutions? Two opinions have been expressed at the
 
 But (to anticipate the reply from the opinion 1 camp)
 
 international conference "Education in Systems Science" (systems science as a synonym of OR/MS) just 10 years ago:
 
 is this maturity - the dramatic narrowing of the
 
 application field (towards opinion 2) and the reduction of
 
 the OR understanding from interdisciplinarity and systems methodology to a mathematical tool-kit?
 
 Opinion 1: 'Systems science can contribute to (almost) any problem just by the frame of systems thinking"
 
 lt can be continued to throw arguments back and
 
 forth: but this would not bring us any further, and it seems to be difficult to change someone's firm support of any or
 
 Opinion 2: "Systems science has limited tools which allow only for the solution of problems within a limited
 
 both opinions - e.g. to reduce an opinion 1 supporter's understanding to opinion 2 or to perforate the opinion 2 supporter's fence in the direction of opinion 1.
 
 ran ge"
 
 (see B.A. Bayraktar et al. (eds) (1979): Education in Systems Science, Report and Proceedings, Taylor and Francis, London).
 
 What is needed instead is mutual understanding
 
 between the two sub-communities of OR/MS.
 
 lt seems as if not much has changed since, with
 
 HEINER MULLER-MERBACH
 
 respect to both opinions:
 
 1. IFORS Letter from the President, No.25. January 1988
 
 Opinion 1 refers to the problem-oriented
 
 representatives of OR/MS for whom
 
 the characteristics of lie in its interdisciplinarity, in the team approach, OR/MS in its systemic methodology, in its understanding of the world as interdependent systems. For them, any tool whether mathematical or non-mathematical - remains a tool, a means to an end.
 
 Opinion 2 gets support from those members of the OR/MS societies who define the field through those mathematical tools which were invented and developed within the culture of OR/MS and which are preferably discussed in the OR/MS literature. These tools can be applied to certain kinds of problems and thus contribute
 
 to their solutions. But their range of possible applications is limited. For this part of the OR/MS community there is no doubt that the mathematical tools define the content and the potential of OR/MS.
 
 Who is right? Which of both opinions defines real
 
 OR/MS? There is no independent Judge:
 
 One the one hand, the historic roots of OR would support opinion 1. lt is historic truth that in early OR (19405 and early 1 950s) the mathematical tool-kit of OR
 
 was tiny and the field was characterized by the
 
 interdisciplinary systems approach. On the other hand - as supporters of opinion 2 might argue - OR was quite immature at that time and reached maturity through the 1950s and early 1 960s when the basic m		
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