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Data Envelopment Analysis (DEA) and TOPSIS to Select Welding Process at Storage Tank in the Food and Beverage Industry

机译:数据包络分析(DEA)和TOPSIS在食品和饮料行业的储罐中选择焊接工艺

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Selection of the most appropriate welding process usually depends on the experiences of a welder or follows the common welding process in similar companies. However, this approach ignores typically many criteria that can be affecting the suitable welding process selection. Therefore, knowledge automation through knowledge-based systems will significantly improve the decision-making process. The purpose of this research propose integrated data envelopment analysis (DEA) and technique for order of preference by similarity to ideal solution (TOPSIS) approach for investigating the best welding process for storage tank in the food and beverage industry. The proposed approach compares each decision-making units (DMUs) with two virtual DMUs called ideal DMU (IDMU) and anti-ideal DMU (ADMU). Furthermore, the final result is determined by the relative closeness (RC) index. The proposed approach is used to give a ranking for six welding processes that are commonly used in the storage tank manufacturing.
机译:选择最合适的焊接工艺通常取决于焊工的经验,或者遵循类似公司的通用焊接工艺。但是,这种方法通常会忽略许多会影响合适的焊接工艺选择的标准。因此,通过基于知识的系统进行知识自动化将大大改善决策过程。这项研究的目的是提出一种综合数据包络分析(DEA)和与理想解决方案(TOPSIS)相似的优先顺序技术,以研究食品和饮料行业储罐的最佳焊接工艺。所提出的方法将每个决策单元(DMU)与两个虚拟DMU(称为理想DMU(IDMU)和反理想DMU(ADMU))进行比较。此外,最终结果由相对接近度(RC)指数确定。所提出的方法用于对储罐制造中常用的六个焊接工艺进行排名。

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