Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.625461
Title: A methodology for analysing some interdependent systems in business and economics
Author: Nelson, Carl William
Awarding Body: University of Manchester
Current Institution: University of Manchester
Date of Award: 1970
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Abstract:
The thesis seeks to compare and extend a number of analytical and simulation procedures to a series of progressively more complex activity-analysis problems which are common to business application and economic theory. Beginning with two industrial examples, which are used to illustrate the nature of linear production interdependencies and the relevance and limitations of a Leontief-type input-output approach to such static single time period problems, the thesis explores further analytical contributions to a more difficult "general logistics problem" incorporating decisions concerning the allocation, scheduling and investment of resources in an environment that is both interdependent and subject to stochastic variation. In one delimited logistics problem the Hitchcock-Koopmans algorithm is amalgamated with an extension of an algorithm proposed by Dantzig and Fulkerson to derive a shipping schedule that minimises the number of vehicles necessary to satisfy a known demand in4a network of origins and destinations. A multi- stage linear programming procedure with more realistically detailed properties is then proposed, but quickly abandoned because of implied computational requirements. It is therefore argued that simulation procedures offer the only operational means for studying such analytically and computationally intractable problems. This approach is fraught with its own difficulties, not the least of which is choosing among contending decision rules once the model is constructed. Such a choice is attempted following statistical guidelines in a stochastic logistics simulation experiment. The text concludes with the means for choosing among alternative resource allocation rules in a computer simulated abstract economy.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.625461  DOI: Not available
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