A multimode resource-constrained project scheduling problem (MRCPSP) may have multifeasible solutions, due to its nature of targeting multiobjectives. Given the NP-hard MRCPSP and intricate multiobjective algorithms, finding the optimized result among those solutions seems impossible. This paper adopts data envelopment analysis (DEA) to evaluate a series of solutions of an MRCPSP and to find an appropriate choice in an objective way. Our approach is applied to a typical MRCPSP in practice, and the results validate that DEA is an effective and objective method for MRCPSP solution selection.

中文翻译：

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基于DEA方法的多模式资源约束项目调度方案选择

多模式资源受限的项目调度问题 (MRCPSP) 可能有多种可行的解决方案，因为它具有针对多目标的性质。鉴于 NP-hard MRCPSP 和复杂的多目标算法，在这些解决方案中找到优化结果似乎是不可能的。本文采用数据包络分析（DEA）来评估MRCPSP的一系列解决方案，并客观地找到合适的选择。我们的方法在实践中应用于典型的 MRCPSP，结果证明 DEA 是一种有效且客观的 MRCPSP 解决方案选择方法。