Determining the timing of project control points using a facility location model and simulation

Sabeghi, Narjes; Tareghian, Hamed Reza; Demeulemeester, Erik; Taheri, Hassan

doi:10.1016/j.cor.2015.03.006

Cited by 16 publications

(4 citation statements)

References 14 publications

(29 reference statements)

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“…In the study of prefabricated buildings, scholars found that a reasonable scheduling plan has an important impact on the successful implementation of the entire prefabricated building project in the construction process of prefabricated concrete residential construction [42]. The scheduling problem of prefabricated construction projects belongs to RCPSP.…”

Section: Prefabricated Building Scheduling Problemmentioning

confidence: 99%

Scheduling Optimization of Prefabricated Construction Projects by Genetic Algorithm

2021

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Prefabricated buildings are the direction of the future development of the construction industry and have received widespread attention. The effective execution of prefabricated construction project scheduling should consider resource constraints and the supply arrangement of prefabricated components. However, the traditional construction resource-constrained project scheduling implementation method cannot simultaneously consider the characteristics of the linkage between component production and on-site assembly construction. It cannot also fully adapt to the scheduling implementation method of the prefabricated construction projects. It is difficult to work out a reasonable project schedule and resource allocation table. In order to determine the relevant schedule parameters that can reflect the actual construction situation of the prefabricated building and meet the scheduling requirements of the prefabricated project, this study proposes a prefabricated construction project scheduling model that considers project resource constraints and prefabricated component supply constraints. Additionally, it improves the design of traditional genetic algorithms (GAs). Research results of the experimental calculation and engineering application show that the proposed project scheduling optimization model and GA are effective and practical, which can help project managers in effectively formulating prefabricated construction project scheduling plans, reasonably allocating resources, reducing completion time, and improving project performance.

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Section: Prefabricated Building Scheduling Problemmentioning

confidence: 99%

Scheduling Optimization of Prefabricated Construction Projects by Genetic Algorithm

2021

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“…Furthermore, there has been an attempt to apply project simulation to managing project scope and the functionalities of the project product (Artto et al 2001). In (Sabeghi et al 2015), we can find an application of simulation to project control; the best timing for control points is determined by means of simulation. In (Kennedy et al 2011), the dependence between project complexity and team communication and performance is examined, also by means of simulation.…”

Section: Use Of Simulation In Project Managementmentioning

confidence: 99%

Application of Simulation to Selecting Project Strategy for Autonomous Research Projects at Public Universities

Kuchta

Stanek²

2020

Administrative Sciences

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The definition of the success of research projects implemented at public universities is far from being unequivocal. The success of a research project has to be in line with both the public university’s and the funding institution’s policies, as well as with the personal objectives and ambitions of the researchers. Once the success definition for the research project has been determined, the strategy of implementation must be defined. The omission of this step may result in effort lost (public money, time, enthusiasm, etc.) after being directed toward objectives which do not fit with either the public university’s or the funding agency’s policies, nor with the researchers’ personal objectives. This paper discusses this problem and proposes a model where simulation is used to choose the project strategy that best fits the selected research project success definition in the context of the policy of a given public university, the preferences of its researchers, and the policy of the funding agencies. The model is illustrated by means of a case study—a real world research project implemented at a public university in a European country, where the policy of subsidizing public universities has been changing both very regularly and in a highly unpredictable manner. It is shown how various project strategies can lead to multiple project outcomes, which are then evaluated in different ways depending on the point of view of public university policy or of the researchers, the funding agencies, and/or society. The main conclusion is that applying simulation to a research project before it starts may contribute significantly to the optimization of time, effort, and resource usage with the objective of project success maximization in the context of public university policy and the objectives of the researchers.

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“…Sabeghi et al [ 12 ] proposed a dynamic control approach in which they used an adapted facility location model (FLM) coupled with a computer simulation tool and a project crashing model to dynamically determine the timing of the control points in a project’s lifecycle. Weights were assigned to each project activity based on the degree of its importance and criticality.…”

Section: Literature Reviewmentioning

confidence: 99%

Project Management Monitoring Based on Expected Duration Entropy

Kashi

Rozenes

Ben‐Gal

2020

Entropy

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Projects are rarely executed exactly as planned. Often, the actual duration of a project’s activities differ from the planned duration, resulting in costs stemming from the inaccurate estimation of the activity’s completion date. While monitoring a project at various inspection points is pricy, it can lead to a better estimation of the project completion time, hence saving costs. Nonetheless, identifying the optimal inspection points is a difficult task, as it requires evaluating a large number of the project’s path options, even for small-scale projects. This paper proposes an analytical method for identifying the optimal project inspection points by using information theory measures. We search for monitoring (inspection) points that can maximize the information about the project’s estimated duration or completion time. The proposed methodology is based on a simulation-optimization scheme using a Monte Carlo engine that simulates potential activities’ durations. An exhaustive search is performed of all possible monitoring points to find those with the highest expected information gain on the project duration. The proposed algorithm’s complexity is little affected by the number of activities, and the algorithm can address large projects with hundreds or thousands of activities. Numerical experimentation and an analysis of various parameters are presented.

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Determining the timing of project control points using a facility location model and simulation

Cited by 16 publications

References 14 publications

Scheduling Optimization of Prefabricated Construction Projects by Genetic Algorithm

Scheduling Optimization of Prefabricated Construction Projects by Genetic Algorithm

Application of Simulation to Selecting Project Strategy for Autonomous Research Projects at Public Universities

Project Management Monitoring Based on Expected Duration Entropy

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