Low-Pressure Die Casting Machine Selection Using a Combined AHP and TOPSIS Method
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Abstract
Decision making is the process of making choices by identifying a decision, gathering information, and assessing alternative solutions. This research is standing with the decision to change the foundry department with low-pressure die casting technologies. It is highly related to machine selection, which should meet the requirements of the manufacturer. However, this decision-making process is rather complicated because various parameters must be considered such as melting rate, production cycle time, the capacity of the furnace, energy consumption, etc. Hence, a decision support system has been developed in this article using a combined Analytic Hierarchy Process (AHP) and Technique of Order Preference Similarity to the Ideal Solution (TOPSIS) method to select the best Low Pressure Die Casting (LPDC) machine among a list of machine alternatives. A case study of brass valve manufacturing in Thailand is used to illustrate the presented method. The results from the study showed that decision-makers can effectively select new LPDC machinability as expected.
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