Woodworking industry plays an important role in the development of Vietnam’s economy. The efficiency of woodworking process depends a lot on the machinery used in the woodworking process. Selecting the best option among a variety of machines is tedious and complex work. However, if the choice of machine is based only on the subjective opinion of the customer, it will lead to mistakes. That mistake is understood that the customer will choose the option that is not the best among the machines proposed by the supplier. Instead, machine selection must be based on all machine parameters. This is called multi-criteria decision making (MCDM). There are MCDM methods, when used it is necessary to know the weights of the criteria. However, there are also methods that do not need to know the weights of the criteria. CRADIS (Compromise Ranking of Alternatives from Distance to Ideal Solution) is a method that, when used, is required to weight the criteria. In contrast, this problem is unnecessary when using the CURLI (Collaborative Unbiased Rank List Integration) method. In this study, three kinds of machinery commonly used for small business in woodworking field were selected. The three kinds of machinery mentioned in this study include wood milling machine, wood saw machine, wood planer. The SPC (Symmetry Point of Criterion) method was used to calculate the weights of the criteria for each kind of machinery. This is the youngest method among the methods of determining the weights for the criteria, it was only found in 2023. The two methods include CRADIS and CURLI were used to rank the machinery kinds. The result showed that in all the surveyed situation, the best alternative is always determined consistently when using CRADIS and CURLI methods. Accordingly, three best alternatives with three different machinery kinds (milling machine, saw machine and planer) were found in this study

Choosing the best option out of the many available options is always the goal to be achieved in all areas. However, the parameters (criteria) in each alternative are not the same, sometimes contradictory. In this situation, choosing the best option is an extremely difficult decision for the decision maker. Multi-criteria decision making (MCDM) is the ranking of alternatives based on the criteria of each alternative. More than one hundred multi-criteria decision-making methods have been proposed by the inventors. They are being used in many different fields. However, for decision makers, choosing an appropriate method to use in each specific case is a difficult task. CURLI (Collaborative Unbiased Rank List Integration) is a multi-criteria decision making method that distinguishes it from all others. That difference is reflected in the fact that when applying this method, the decision maker does not need to normalize the data nor determine the weights for the criteria. However, it will take a long time for decision makers to apply this method, especially when the number of options to rank is large. This study carried out the development of a new MCDM method based on the CURLI method. This new method is named CURLI-2. Many different examples are presented to evaluate the effectiveness of the proposed method. In each example, the result of ranking the alternatives using the CURLI-2 method has been compared with those using other different MCDM methods. The best alternative determined when using the CURLI-2 method always coincides with the use of existing MCDM methods. Using CURLI-2 method to rank alternatives will be much faster and simpler than using CURLI method. This is the advantage of CURLI-2 method compared with CURLI method

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