A scientometrics survey on project scheduling

被引:0
|
作者
Ghaeli, M. R. [1 ]
Sadi-Nezhad, Soheil [2 ]
机构
[1] Dept Commerce & Business Adm, New Westminster, BC, Canada
[2] Univ Waterloo, Dept Stat & Actuarial Sci, Waterloo, ON, Canada
关键词
Project scheduling; Highly cited; Country; Scientometrics; PARTICLE SWARM OPTIMIZATION; HYBRID GENETIC ALGORITHM; NEURAL DYNAMICS MODEL; DISCOUNTED CASH FLOWS; RESOURCE CONSTRAINTS; HEURISTIC PROCEDURES; BRANCH; ROBUST; SEARCH; CLASSIFICATION;
D O I
10.5267/j.jpm.2019.1.006
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In project management, a schedule is considered as a list a project's milestones, activities, and deliverables, normally with some start and finish time schedule, which are estimated by some information incorporated in the project schedule including resource allocation, budget, task duration, and linkages of dependencies and scheduled events. This paper presents a comprehensive review of the studies associated with project scheduling. The study uses Scopus database as a primary search engine and covers 3370 records over the period 1963-2019. The records are statistically analyzed and categorized in terms of different criteria. Based on the survey, "decision support systems" is the keyword which has carried the highest densities followed by heuristics methods. Among the most cited articles, papers published by researchers in Germany have received the highest citations (9084), followed by United States (7058) and Belgium with 4853 citations. (C) 2019 by the authors; licensee Growing Science, Canada.
引用
收藏
页码:165 / 176
页数:12
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