Essentials of fuzzy modeling and control
Essentials of fuzzy modeling and control
Enterprise resource planning systems: systems, life cycle, electronic commerce, and risk
Enterprise resource planning systems: systems, life cycle, electronic commerce, and risk
Multi-objective fuzzy assembly line balancing using genetic algorithms
Journal of Intelligent Manufacturing
A fuzzy ANP model for supplier selection as applied to IC packaging
Journal of Intelligent Manufacturing
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The established tendency towards demassovization of production and its orientation to the customers' unique needs puts forward the demand for cost reduction by employing highly productive reconfigurable equipment and software to enable optimization. This paper presents a comparison of scenarios built on the application of the fuzzy logic approach in the Enterprise Resource Planning system of a small size production factory in Bulgaria in order to ensure optimal balancing of the workload of assembly-testing flow lines for hydraulic cylinders. A Sugeno fuzzy classifier is suggested for two scenarios to provide flexibility in directing cylinders with different specific parameters to proper lines. It is based on a classification scheme that considers possible overlapping of groups of hydraulic cylinders. The decision on the line assigned is made accounting also for the minimal cylinder delay time. The efficiency of the scenarios is assessed by simulation using a complex criterion that accounts for lines idle time and cylinders delay time.