Evaluating Manufacturing Machines Using ELECTRE Method: A Decision Support Approach

This study presents an application of the decision support system (DSS) Elimination Et Choix Traduisant La Realite method in the manufacturing sector. The aim was to rank five different machines based on seven criteria: cost, efficiency, speed, reliability, ease of use, maintenance, and environmental impact. The ELECTRE method was employed to normalize the decision matrix, calculate the concordance and discordance matrices, determine the comprehensive concordance and discordance indices, and finally, establish a dominance matrix to rank the alternatives. The results indicated that Machine 4 was the optimal choice, followed by Machine 1, Machine 2, Machine 3, and Machine 5. However, the study also highlighted the sensitivity of the ELECTRE method to the weights of the criteria and the assumption of criteria independence. Future research directions include exploring methods for accurate weight determination, comparing results with other multi-criteria decision-making methods, and integrating the ELECTRE method with other decision-making tools.