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Combining DEA and ARIMA Models for Partner Selection in the Supply Chain of Vietnam’s Construction Industry
Mathematics ( IF 2.3 ) Pub Date : 2020-05-27 , DOI: 10.3390/math8060866
Han-Khanh Nguyen

The competition between enterprises in the construction market is fierce. If enterprises are unable to afford financial and technological capabilities, they could go bankrupt. Therefore, the implementation of alliances between businesses can help increase their competitiveness. In this study, the authors simultaneously used data envelopment analysis (DEA), the Grey model (GM (1,1)), and autoregressive integrated moving average (ARIMA) to choose a suitable strategic partner to boost the strength of each business and cut the cost of transportation and personnel in an attempt to help managers come up with suitable solutions, offer sustainability, and develop creative management. The results show that the chosen solution improves the business efficiency of construction businesses and offers cost savings on materials, production, and transportation. Management agencies can use the results of this study to propose suitable orientations, strengthen decision-making, and ensure strategic planning to develop the construction sector in Vietnam.

中文翻译:

结合DEA和ARIMA模型在越南建筑业供应链中选择合作伙伴

建筑市场企业之间的竞争十分激烈。如果企业负担不起财务和技术能力,则它们可能会破产。因此,实施企业之间的联盟可以帮助提高其竞争力。在这项研究中,作者同时使用数据包络分析(DEA),灰色模型(GM(1,1))和自回归综合移动平均线(ARIMA)来选择合适的战略合作伙伴,以增强每项业务的实力并削减为了帮助管理人员提出合适的解决方案,提供可持续性并发展创意管理而需要的运输和人员成本。结果表明,所选解决方案提高了建筑企业的业务效率,并节省了材料,生产和运输的成本。
更新日期:2020-05-27
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