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Knowledge and Decision Support for Material Handling Systems

Ziel

The objective of this project was to investigate the applicability of knowledge-based techniques for modelling material handling systems to improve the efficiency of the design process and to optimise performance and cost. The programme was as follows:-specify design of cost modelling functions and cost database
-define information and modelling structures for decision support within material handling systems
-implement modelling functions into decision support within the material handling system and generate a cost database for a special material handling application
-verify prototype for cost modelling in material handling application
-specify modelling knowledge base and develop a prototype implementation using suitable artificial intelligence tools
-integrate prototype and decision support system in one tool.
The objective of this project was to investigate the applicability of knowledge based techniques for modelling material handling systems to improve the efficiency of the design process and to optimize performance and cost. A prototype cost modeller has been completed. Categories of cost data and of cost calculation algorithms have been finalised. By using the manufacturing description method (MDM), a layout oriented representation.
A prototype cost modeller has been completed. Categories of cost data and of cost calculation algorithms have been finalised. By using the Manufacturing Description Method (MDM), a layout-oriented representation has been generated from a functionally oriented representation. Material handling system design knowledge has been classified as a major step towards the envisaged expert system.
The project was terminated prematurely after one year of work.

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Compagnie Générale de Productique
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