The schedule hierarchy in a construction project generally has multiple levels. The highest level is a milestone schedule, and is represented in bar chart format. The middle level is an integrated project schedule, and is represented in the Critical Path Method (CPM) format. The lowest level is a detailed working schedule, and is usually represented by a bar chart. Traditional scheduling techniques, such as the Arrow Diagramming Method, or the Precedence Diagramming Method, cannot represent all the schedules within a schedule hierarchy in identical formats. However, the Beeline Diagramming Method (BDM) technique can represent all kinds of schedule, within a schedule hierarchy, in CPM format. I describe the basic concepts, principles, interpretation methods, and schedule computation methods of the BDM as a new networking technique that can represent all kinds of overlapping relationships between activities. I then present an example of representing all levels of schedules within a schedule hierarchy, using the BDM technique, as well as BDM networks of levels 2, 3, and 4, in a real construction project.
Abstract. In recent years, interest in and studies on urban regeneration projects have increased. New urban regeneration projects, i.e., redevelopment projects, are being used to help solve the social and economic problems caused by antiquated buildings and degraded infrastructure. However, such projects can offer no performance guarantees because they have various and complex stakeholders and their huge scale exposes them to many risks. We propose a risk performance index to improve the efficiency of general performance measurement for mega projects by extending the existing cost/schedulebased performance measurement system to include the risks of such mega projects. The risk performance index method proposed in this study is similar to the conventional EVMS and makes it possible to perform a three-dimensional integrated performance measurement of cost/schedule/risk through 18 indexes and variables.
:The risk analysis phase of construction risk management process is subdivided into the qualitative risk analysis that plays a major role, and the quantitative risk analysis acting as a supportive role. The traditional calculation method for quantifying a risk value that has been applied so far is an equation to multiply a probability by an impact simply, but its result shows the low risk value biased distribution. Although another equation that shows the high risk biased distribution as an alternative of traditional method was proposed, both of the low or high risk biased equations do not match with the statistical general knowledge that most natural phenomenons are close to the normal distribution. This study proposes a new risk value calculation method that is concentrated to the moderate risk value. Because the risk value distribution by a new method shows a normal shape similar to natural phenomenon, it helps to choose a middle level not biased to the low or high levels when choosing the level of risk response. Furthermore, it could contribute to improve the flexibility and rationality of risk analysis method by providing additional options for the risk value calculation.
The Critical Path Method (CPM) has gradually increased in importance in the construction industry since the Arrow Diagramming Method (ADM) and the Precedence Diagramming Method (PDM) were introduced in 1956 and 1961, respectively. In an improvement over the ADM, the PDM is able to represent overlapping relationships between consecutive activities. It is limited to representing overlapping relationships only as four combinations that connect the starting and finishing points of two consecutive activities, however; it cannot express the relationships at the exact point of interrelation if that point is in the middle of the activity's duration. Further, when two consecutive activities have respective multiple milestones that should be connected independently, the PDM cannot represent the multiple overlapping relationships precisely. This research proposes the Beeline Diagramming Method (BDM) as a new networking technique that can represent all kinds of overlapping relationships between activities. The basic concept, principle, interpretation methods, and schedule computation methods of the BDM are defined in this paper.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.