Comparison of Cross-Entropy Based MCDM Approach for Selection of Material in Sugar Industry

One of the major problems faced in engineering is the selection of the material which is most suitable for the product. Material selection from a large number with diverse mechanical, physical and chemical properties and choosing the best material which is the most satisfying for making the job is a very complex process. Material selection is important as it determines durability, reliability and cost of the product. Selection of suitable material which gives maximum performance with minimum cost is often observed to be a multi-criterion decision-making (MCDM) problem with different objectives. This chapter presents an integrated approach to select the suitable material to be used as base of induction cookware which can give maximum performance with minimum cost. In the integrated approach the weights of the criteria are computed using the cross-entropy method and ranking of the alternatives is done using the different MCDM methods. The methods are further illustrated with an example and the result obtained from different cross-entropy MCDM methods are compared for finding the most suitable method for serving the purpose

Application of Type-2 Fuzzy AHP-ARAS for Selecting Optimal WEDM Parameters

Machining of the nickel-based alloy is very demanding due to its extreme mechanical properties, for example, higher fatigue strength, better corrosion and creep resistance feature, substantial work hardening capability, and appreciable tensile and shear strength. Owing to these properties, the selection of machining parameters is a major challenge for modern machining industries. Therefore, the present experimental work is carried out to select the best parametric combination of the wire electrical discharge machining (WEDM) machine for reducing machining cost and human effort. The Trapezoidal Interval Type-2 fuzzy number (T2FS) integrated Analytical Hierarchy Process (AHP)-based Additive Ratio Assessment (ARAS) method is used for selecting the best WEDM process parameters of Inconel-800 superalloy. Finally, the results were compared with some existing multi-criteria decision-making methods to confirm the validity of the adopted method. The comparison shows that Type-2 Fuzzy AHP-ARAS synergy can help to formulate the problem and facilitate the assessment and ranking of WEDM process parameters when multiple criteria are jointly considered