Implementation of expert system for process control of fish processing

Abstract

This paper presents the development and implementation of expert systems for process control of fish processing. The plant is intended for primary fish processing, freezing and packaging. In order to improve the pace of production, an expert system based on fuzzy logic is designed and developed. Inputs in the fuzzy expert system are the speed of conveyors in the plant, the temperature of frozen fish and desired processed fish quantity. The expert system estimates amount of processed fish from each subsystem and the total quantity of processed fish. Expert system for management in such a facility sets the trends that benefit everyone from top level management to plant operators. The system could have more applications; the prediction of fish to be processed and to point out the problems in the sub-systems and failure of the machines.

Keywords

• expert system
• fish plant
• fuzzy logic