Application of multi criteria decision making method to select and validate the material of a flywheel design

Abstract A flywheel is an inertial energy-storage device. Focus is to optimize the design of flywheel regarding to the manufacturing aspects. To elect a proper material for an object is intricate and laborious task as an enormous number of materials with multifarious properties are available. It is inevitability of regular and skilled approach to select material and choose best alternative for a product. The aim is to select appropriate weight for each criterion is one of the main points in multi attribute decision making method (MADM). The AHP and Entropy methods are used to select appropriate subjective and objective weight criterion respectively while the COPRAS and TOPSIS are applied for the selection procedure for the optimal alternative among the several materials which are used for flywheel. Finally, definitive response from MADM is used for the non-classical algorithm namely as Genetic Algorithm (GA) presented for weight optimization of flywheel design with respect to specified set of constraints.