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A bi-objective model for robust resource-constrained project scheduling

机译:鲁棒的资源受限项目调度的双目标模型

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A common problem which arises in project management is the fact that the planned schedule is often disrupted by several uncontrollable factors like additional time that might be required for rework and correction of detected defects. As a result, project managers are often unable to meet the promised completion dates. It is therefore vital to take into account such possible disruptions and their potential negative consequences at the project schedule design stage. In this paper, we address the issue of designing a project schedule which is not only short in time, but also less vulnerable to disruptions due to reworks and other undesirable conditions. To that aim, we introduce the concept of schedule robustness and we develop a bi-objective resource-constrained project scheduling model. We consider the objectives of robustness maximization along with makespan minimization. We develop a tabu search algorithm in order to generate an approximate set of efficient solutions. Several variants of the algorithm are tested and compared on a large set of benchmark problems.
机译:在项目管理中出现的一个常见问题是,计划进度通常会受到一些不可控因素的干扰,例如,返工和纠正发现的缺陷可能需要额外的时间。结果,项目经理常常无法达到承诺的完成日期。因此,至关重要的是在项目进度表设计阶段考虑此类可能的干扰及其潜在的负面影响。在本文中,我们解决了设计项目进度表的问题,该进度表不仅时间短,而且不易因返工和其他不良条件而中断。为此,我们引入了进度计划稳健性的概念,并开发了一个双目标资源受限的项目计划模型。我们考虑了鲁棒性最大化和最小化跨度的目标。我们开发了禁忌搜索算法,以生成一组近似的有效解。在大量基准测试问题上测试并比较了该算法的几种变体。

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