Application of Generic Multi-criteria Economic Model for Line Balancing to a Hypothetical Organization Using Soft Computing Techniques


  • Poornima G. Naik Professor, Department of Mechanical, Kolhapur Institute of Technology’s College of Engineering, Gokul Shirgaon, Kolhapur, Maharashtra, India
  • Girish R. Naik Professor, Department of Computer Studies, Chhatrapati Shahu Institute of Business Education and Research, Kolhapur, Maharashtra, India


Fuzzy optimization, Genetic Algorithm, Mamdani Inference System, Overall Equipment Effectiveness, Simulink, Theory of Constraints


Total Productive Manufacturing (TPM) is feasible only if the Overall Equipment Effectiveness (OEE) of the production line meets world-class standards. In the current research, crisp and fuzzy simulation models are developed and implemented for exploring OEE parameters for a hypothetical manufacturing organization. As OEE parameters, availability, performance efficiency, and quality, in turn, depend on several other parameters, a sort of cascaded effect is generated which can effectively be modeled as Cascaded Fuzzy Inference System (CFIS). CFIS is developed and compared with its crisp counterpart. The nature of membership functions is reflected in the fuzzy model and the trend is decided by the overlap of membership functions. The current work is beneficial to any small and medium scale manufacturing organization hosting a single channel multi-phase production line and provides the necessary support from manufacturing method selection to design and analysis of production line, determining optimum service level, performing sensitivity analysis on critical components of the production line, determining OEE and comparing it with world-class standards.


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