Integration of expert system and analytic hierarchical process for the selection and evaluation of R&D projects in the pharmaceutical industry

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Title: Integration of expert system and analytic hierarchical process for the selection and evaluation of R&D projects in the pharmaceutical industry
Author: Uwais, Syed Muhammad
Description: Government regulations and other external cost containment efforts which control the price of the research drugs directly or indirectly would force these research based companies to re-focus their research into less risky areas, and reorganize and restructure their research projects. This situation needs to have the scientific tools which can comprehensively aid decision-makers to systematically organize their decision making process to reach the right resource allocating decisions. The objective of this research was to create a model PC-based decision support system for the pharmaceutical research and development resource allocation managers, using AHP (Analytic Hierarchial Process) as its mathematical model and its integration with an expert system. The system aids R&D resource allocation managers not only to utilize their knowledge systematically but also to benefit from the previously structured knowledge to reach the best logical decisions with minimum uncertainty. Simulated cases for pharmaceutical R&D organizations and their research were evaluated by pharmaceutical experts. Decisions related knowledge was analyzed and structured in the form of various rules, demons, and procedures of the expert system. The accomplishments of this research provide a solid base for future development of advance decision support systems in a real pharmaceutical research and development environment.
Permanent Link: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1178823422
http://hdl.handle.net/2374.OX/13968
Date: 1995

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