Purpose

This purpose of this study is to structure complex problems to be solved with greater efficiency, optimising the relationship between root causes (RC) relevance of the problem and utilisation of human resources to treat them, minimising the use of manpower in problem-solving activity and thus contributing to greater productivity within organisations.

Design/methodology/approach

The authors built an approach under the concepts of theory of constraints and multiattribute and multiobjective decision-making methods that were applied in a real complex problem of the low development of Brazilian space industry, by theoretical perspective. Also, the authors submitted it in a simulation environment to assess in which situations it is successful considering number of problem’s RC, system complexity and number of people in the system.

Findings

The approach was successful on the real case, finding the optimal relationship between the RC relevance and the number of people involved to treat them. For certain complex problem inputs configurations, simulation results reveal that the approach is reliable obtaining more than 95% chance of success in finding the optimal relationship, when comparing with traditional prioritising methods.

Originality/value

This approach introduces an unprecedented way to locate and evaluate non-physical constraints within a system, which is used to determine RC relevance, as well as an unprecedented way of defining a single optimal solution for structuring a problem, considering the relevance of RC and the use of human resources. The approach is useful for organisations in general which often need managing complex problems with few resources.

中文翻译：

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稀缺人力资源环境下复杂问题管理的决策方法

目的

本研究的目的是构建需要以更高效率解决的复杂问题，优化问题的根本原因 (RC) 相关性与处理这些问题的人力资源之间的关系，最大限度地减少在解决问题活动中对人力的使用和从而有助于提高组织内的生产力。

设计/方法/方法

作者在约束理论和多属性、多目标决策方法的概念下建立了一种方法，从理论角度应用于巴西航天工业发展缓慢的实际复杂问题。此外，作者在模拟环境中提交了它，以评估在考虑问题的 RC 数量、系统复杂性和系统中的人数的情况下它是成功的。

发现

该方法在真实案例中取得了成功，找到了 RC 相关性与参与治疗的人数之间的最佳关系。对于某些复杂的问题输入配置，仿真结果表明，与传统的优先排序方法相比，该方法在找到最佳关系时获得超过 95% 的成功机会是可靠的。

原创性/价值

这种方法引入了一种前所未有的方法来定位和评估系统内的非物理约束，该方法用于确定 RC 相关性，以及一种前所未有的定义用于构建问题的单一最优解的方法，考虑到 RC 的相关性和人力资源的利用。该方法对于通常需要用很少资源管理复杂问题的一般组织很有用。