Decision Making Support System Using Intelligence Tools to Select Best Alternative in Design for Remanufacturing (Economy Indicator)

Abstract

Sustainable practice is needed in every manufacturing industry. To make this practice successfully implemented in manufacturing industry, three indicators must be look into. The three indicators are environmental, economy and social indicator. In this paper, only economy indicator will be looked into for the implementation of intelligence tools. Economy indicator obtained from Design for Remanufacturing (DFREM) consists of several variables where cost will be substituted into the variables. However, industries are unaware that with this practice, an industry can save money and reduce waste from finished part. The industry can implement the economy indicator equation and substitute the cheapest value from several option provided by the supplier. This may cost time but in long term return, DFReM can make an industry to save money. In this paper, three intelligence tools will be used to make the best selection of cost to be substitute in DFReM equation. The intelligence tools are Fuzzy Analytic Hierarchy Process (FAHP), Artificial Neural Network (ANN) and combination of both FAHP and ANN. The objective of this paper is to compare the output result obtained from three intelligence tool. The final result shows FAHP and ANN provides the best solution, followed by ANN and lastly FAHP. Therefore, combination of FAHP and ANN should be used for selecting alternatives from supplier hence applied in DFReM economy indicator equation.