Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.495071
Title: A hybrid fuzzy knowledge-based expert system and genetic algorithm for efficient selection and assignment of material handling equipment
Author: Mirhosseyni, Seyed Hamid Layegh
Awarding Body: university of nottingham
Current Institution: University of Nottingham
Date of Award: 2008
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Abstract:
The selection of the most appropriate Material Handling Equipment (MHE) types for handling operations within a production plant and the efficient configuration of them in order to attain an optimal solution for the entire problem is still a challenging and unsolved problem. As MH has a significant impact on the efficiency of the total production system, efficiently resolving it is a key task.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.495071  DOI: Not available
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