Abstract

In this competitive world, industries are looking for smart technologies to compete; these technologies help R&D people to explicit the ideas and bring the product to the market at shorter lead times and with affordable cost. Each AM machine has its own unique capabilities in manufacturing a product, utilising materials, material intake and wastages. Machine and material costs are the significant parameters, which play a major role in cost estimation of the prototypes. Costs of both machine and materials are prime factors in AM and it can be helpful for cost reduction due to their uniqueness. However, an alternate strategy is being concentrated on process optimization and consumption of material to reduce the overall cost of the prototype. In this paper, multi criterion decision making (MCDM) technique, namely, best-worst method (BWM), was adopted to select the suitable material for the product. This is along with the end user expectations in AM. In the initial phase, the suitable machine to be selected from the available machines is based on the parameters like cost, accuracy, variety of materials and material wastage. From the variety of materials, the suitable material was selected based on the respondent requirement. The criteria that influenced more in the overall cost of the product manufacture through AM is identified and used. According to BWM, the criteria to be selected by the decision maker based on the respondent expectations are identified. In BWM method, pairwise comparisons are carried out between the best and worst criterion suggested by the decision makers, as that it leads to the selection of the suitable material. Here, a demonstration of such a selection is detailed; this is certainly based on the respondent requirements. The result attained through the proposed methodology can be varied based upon the respondent requirements and further machine availabilities. In conclusion, the end result helps to identify the suitable machine and build materials for the prototype to be produced based on the respondent requirements.

中文翻译：

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通过最佳-最差方法（BWM）选择合适的增材制造机器和材料

摘要

在这个竞争激烈的世界中，各行业都在寻找智能技术来竞争。这些技术可帮助研发人员明确想法，并以更短的交货时间和可承受的成本将产品推向市场。每台AM机器在利用物料，物料摄入量和浪费来制造产品时都有其独特的功能。机器和材料成本是重要的参数，在原型成本估算中起着重要作用。机器和材料的成本都是增材制造的主要因素，由于它们的独特性，有助于降低成本。但是，另一种策略集中在工艺优化和材料消耗上，以降低原型的总体成本。本文采用多准则决策（MCDM）技术，即最差方法（BWM），为产品选择合适的材料。这与最终用户对AM的期望一致。在初始阶段，要从可用的机器中选择合适的机器是基于参数，例如成本，准确性，材料种类和材料浪费。从各种材料中，根据受访者的要求选择合适的材料。确定并使用对通过AM制造产品的总成本影响更大的标准。根据BWM，确定了决策者根据受访者的期望选择的标准。在BWM方法中，决策者建议的最佳和最差标准之间进行成对比较，因为这样可以选择合适的材料。这里，详细说明了这种选择；这当然是基于受访者的要求。通过提出的方法获得的结果可以根据响应者的要求和其他机器可用性而有所不同。总之，最终结果有助于根据受访者的需求确定合适的机器并为要生产的原型制造材料。