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For the goal planner, reality stops at the boundaries of the problem. For the objective- planner, it stops at the boundaries set by feasibility and to some extent by responsibility. For the ideal-planner, there are no "real" boundaries.
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If the story of my early years with Russ sound like they were years of battle, then the sound is correct.
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The complete analysis of the methods of scientific inference shows that the theory of inference in science demands the use of ethical judgments
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Analysis of the mathematical form and underlying principles of games was made by von Neumann " as early as 1928. In this early work von Neumann was not so much interested in executive-type problems as he was in the logical foundations of quantum mechanics. It was not until 1944, when von Neumann and Morgenstern published their now well known Theory of Games and Economic Behavior, that the mathematical treatment of games "took fire."
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The scientist has to have a way of thinking about the environment of a system that is richer and more subtle than a mere looking at for boundaries. He does this by noting that, when we say that something lies 'outside' the system, we mean that system can do relatively little about its characteristics or its behavior. Environment, in effect, makes up the things and people that are 'fixed' or 'given', from the system's point of view.
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No science has ever been born on a specific day. Each science emerges out of a convergence of an increased interest in some class of problems and the development of scientific methods, techniques, and tools which are adequate to solve these problems. Operations Research (O. R.) is no exception. Its roots are as old as science and the management function. It's name dates back only to 1940.
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Suppose we consider, not the rationality of holism, but its spirituality. Holism traditionally says that a collection of beings may have a collective property that cannot be inferred from the properties of its members.
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Deception, in turn, suggests morality: the morality of deceiving people into thinking something is so when it is not.[...] The moral principle is this: whoever attempts to tame a part of a wicked problem, but not the whole, is morally wrong.
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I am often inclined to put the implementation questions first, ie, "Can anything be changed?" Should the implementation question not accompany the whole process from its very beginning to its very end?
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This text grew from the lecture material for the "Short Course in Operations Research" which has been offered annually (since 1952) by Case Institute of Technology.
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Everybody's daily life consists of problems arising from what you decided yesterday. Managers understand that. Mathematicians want to solve a theorem, publish the results and walk away clean. Managers never walk away clean. The real world is a very dirty place.
Clarity is supposed to be the objective of science. I disagree. I think the objective of science is confusion, because confusions carries you into problems.
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A systems approach begins when first you see the world through the eyes of another.
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If the chance of error alone were the sole basis for evaluating methods of inference, we would never reach a decision, but would merely keep increasing the sample size indefinitely.
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To know that we are measuring real change we need to have a strong theoretical base.
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In general, we can say that the larger the system becomes, the more the parts interact, the more difficult it is to understand environmental constraints, the more obscure becomes the problem of what resources should be made available, and deepest of all, the more difficult becomes the problem of the legitimate values of the system.
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It's not as though we can expect that next year or a decade from now someone will find the correct systems approach and all deception will disappear. This, in my opinion, is not in the nature of systems. What is in the nature of systems is a continuing perception and deception, a continuing re-viewing of the world, of the whole system, and of its components. The essence of the systems approach, therefore, is confusion as well as enlightenment. The two are inseparable aspects of human living.
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How can we design improvement in large systems without understanding the whole system, and if the answer is that we cannot, how is it possible to understand the whole system?
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We have overwhelming evidence that available information plus analysis does not lead to knowledge. The management science team can properly analyse a situation and present recommendations to the manager, but no change occurs. The situation is so familiar to those of us who try to practice management science that I hardly need to describe the cases.
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A system may actually exist as a natural aggregation of component parts found in Nature, or it may be a man-contrived aggregation – a way of looking at a problem which results from a deliberate decision to assume that a set of elements are related and constitute such a thing called 'a system.
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However a systems problem is solved—by a planner, scientist, politician, antiplanner, or whomever—the solution is wrong, even dangerously wrong. There is bound to be deception in any approach to the system.
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An objective of O. R. as it emerged from this evolution of industrial organization, is to provide managers of the organizations with a scientific basis for solving problems involving the interaction of the components of the organization in the best interest of the organization as a whole. A decision which is best for the organization as a whole is called optimum decision.
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Ethical judgments can be [should be] included in the scope of science
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Quote of the day
Nobody ever did anything very foolish except from some strong principle.
William Lamb, 2nd Viscount Melbourne
C. West Churchman
Born:
August 29, 1913
Died:
March 21, 2004
(aged 90)
Bio:
Charles West Churchman was an American philosopher and systems scientist, who was Professor at the School of Business Administration and Professor of Peace and Conflict Studies at the University of California, Berkeley.
Most used words:
system
problems
science
knowledge
human
approach
nature
management
decision
collection
scientist
moral
deception
scientific
operations
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