2018
DOI: 10.15302/j-fem-2018088
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Planning projects with scarce resources: Yesterday, today and tomorrow's research challenges

Abstract: This paper is an invited request to describe the main research challenges in the domain of resourceconstrained project scheduling. The paper is split up in three parts. In today's challenges, research endeavors that have received a significant, but still not enough, attention have been described. In tomorrow's research challenges, some promising research avenues for future research have been given. Finally, in yesterday's challenge, a research topic that started decades ago, is said to have still a huge potent… Show more

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Cited by 4 publications
(2 citation statements)
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“…For instance, our approaches can be applied to DMUs with variable returns to scale. The structure of DMUs can also be extended to highly complex networks [56]. However, this paper ignores the efficiency of sub-stages, and future studies may consider keeping both the overall and sub-stage efficiencies invariable.…”
Section: Discussionmentioning
confidence: 99%
“…For instance, our approaches can be applied to DMUs with variable returns to scale. The structure of DMUs can also be extended to highly complex networks [56]. However, this paper ignores the efficiency of sub-stages, and future studies may consider keeping both the overall and sub-stage efficiencies invariable.…”
Section: Discussionmentioning
confidence: 99%
“…have been adopted to automatically generate construction plans. A great deal of research efforts have also been made to optimize the construction schedules by reasonably arranging time and resources based on the given activity network (Faghihi, Nejat, Reinschmidt, & Kang, 2015;Vanhoucke, 2018;Zhou, Love, Wang, Teo, & Irani, 2013). While much progress has been made in automating the development of construction plans, many existing approaches performed limited ability of constraint reasoning to verify whether the construction plan satisfies the time and cost constraints.…”
Section: Introductionmentioning
confidence: 99%