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Utilizing fuzzy logic controller in manufacturing facilities design: Machine and operator allocation

Tariq Tashtoush, Azmi Alazzam, Ali Rodan

2020Cogent Engineering10 citationsDOIOpen Access PDF

Abstract

In this paper, a fuzzy logic controller will be introduced and discussed that can be applied for manufacturing systems. Our proposed control system will utilize fuzzy logic principles to find the optimum number of machines and operators assignment by developing the heuristic relations between the inputs and the outputs of the controller. The project inputs are the desired daily production and the average product processing time by each machine. The production process is assumed to be automated and the routing of products to these machines will be automated and requires negligible time. All machines are also assumed identical in both the functionality (manufacturing process) and the service time. Given the inputs as the number of products and the average service time, the goal of this controller will be to determine the number of the machines and the number of the operators needed to meet the production demand.

Topics & Concepts

Fuzzy logicController (irrigation)Routing (electronic design automation)HeuristicComputer scienceProgrammable logic controllerProcess (computing)Production (economics)Operator (biology)Fuzzy electronicsControl engineeringFuzzy control systemIndustrial engineeringEngineeringMathematical optimizationFuzzy set operationsEmbedded systemArtificial intelligenceMathematicsChemistryTranscription factorRepressorBiochemistryAgronomyOperating systemGeneMacroeconomicsEconomicsBiologyAdvanced Manufacturing and Logistics OptimizationScheduling and Optimization AlgorithmsFuzzy Logic and Control Systems