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Application of fuzzy TOPSIS framework for selecting complex project in a case company

机译:应用模糊TOPSIS的框架在一个案例公司选择复杂的项目

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Purpose This study aims to propose a method known as the fuzzy technique for order preference by similarity to ideal solution (fuzzy TOPSIS) for complex project selection in organizations. To fulfill study objectives, the factors responsible for making a project complex are collected through literature review, which is then analyzed by fuzzy TOPSIS, based on three decision-makers’ opinions.Design/methodology/approach The selection of complex projects is a multi-criteria decision-making (MCDM) process for global organizations. Traditional procedures for selecting complex projects are not adequate due to the limitations of linguistic assessment. To crossover such limitation, this study proposes the fuzzy MCDM method to select complex projects in organizations.Findings A large-scale engine manufacturing company, engaged in the energy business, is studied to validate the suitability of the fuzzy TOPSIS method and rank eight projects of the case company based on project complexity. Out of these eight projects, the closeness coefficient of the most complex project is found to be 0.817 and that of the least complex project is found to be 0.274. Finally, study outcomes are concluded in the conclusion section, along with study limitations and future works.Research limitations/implications The outcomes from this research may not be generalized sufficiently due to the subjectivity of the interviewers. The study outcomes support project managers to optimize their project selection processes, especially to select complex projects. The presented methodology can be used extensively used by the project planners/managers to find the driving factors related to project complexity.Originality/value The presented study deliberately explained how complex projects in an organization could be select efficiently. This selection methodology supports top management to maintain their proposed projects with optimum resource allocations and maximum productivity.
机译:目的本研究旨在提出一个方法作为订单的模糊技术偏好(模糊TOPSIS)相似的理想解决方案在组织中复杂的项目选择。实现研究目标,负责任的因素做一个项目复杂的收集通过文献综述,然后分析由模糊指标值,基于三决策者的的意见。选择是一个多目标复杂的项目全球决策(指标)的过程组织。选择复杂的项目是不足够的语言评价的局限性。跨界这样的限制,本研究提出模糊指标方法选择复杂的项目在组织。制造公司,从事能源业务,研究来验证是否合适模糊TOPSIS和等级8根据工程项目的公司的复杂性。亲密系数最复杂的项目找到至少是0.817的吗复杂的项目是0.274。研究结果中得出的结论部分,研究的局限性和未来的工作原理。从本研究的结果可能不是广义足够由于主观性的面试官。项目经理优化他们的项目选择过程,特别是选择复杂项目。广泛使用的项目规划者/经理找到项目相关的驱动因素的复杂性。故意解释如何在一个复杂的项目组织可以选择有效。选择方法支持最高管理层维持他们的建议和优化项目资源分配和最大的生产力。

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