Timely Project Completion Probability and Stability Cost on the Interaction among Uncertainty of Random Duration, Service Level and Feeding Buffer in a RCPSP Environment

Zhang, Xiaoming; Cui, Nanfang; Bie, Li; Chai, Yaguang

doi:10.1109/icmss.2011.5998239

Cited by 3 publications

(3 citation statements)

References 2 publications

(1 reference statement)

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“…Shi and Gong [21] took into account components such as scarcity of resources, complexity of the network and the project manager's risk profile. Zhang, Cui, Bie, and Chai [22] concluded that there is a high degree of interaction between the size of the feeding buffer, the level of service, the uncertainty of the activities duration and the whole project duration. Liu, Chen, and Peng [23] used the entropy concept to calculate the buffer size from the resource utilization factor, the network complexity and the risk aversion.…”

Section: Relevant Literature Review On Redundancy Based Methodsmentioning

confidence: 99%

Management and Production Engineering Review

Ortiz-Pimiento

Díaz-Serna

2019

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Redundancy based methods are proactive scheduling methods for solving the Project Scheduling Problem (PSP) with non-deterministic activities duration. The fundamental strategy of these methods is to estimate the activities duration by adding extra time to the original duration. The extra time allows to consider the risks that may affect the activities durations and to reduce the number of adjustments to the baseline generated for the project. In this article, four methods based on redundancies were proposed and compared from two robustness indicators. These indicators were calculated after running a simulation process. On the other hand, linear programming was applied as the solution technique to generate the baselines of 480 projects analyzed. Finally, the results obtained allowed to identify the most adequate method to solve the PSP with probabilistic activity duration and generate robust baselines.

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Section: Relevant Literature Review On Redundancy Based Methodsmentioning

confidence: 99%

Management and Production Engineering Review

Ortiz-Pimiento

Díaz-Serna

2019

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“…According to the scientific literature review carried out in this research for the period 1996-2019, the solution techniques most frequently used to solve the RCPSP with random duration of activities were the Genetic Algorithms [5][6][7][8][9][10][11][12][13][14][15][16] and the Critical Chain Method [17][18][19][20][21][22][23][24][25][26][27][28]. The RCPSP with random duration of activities and stochastic tasks insertion was presented by [29].…”

Section: Resource Constrained Project Scheduling Problem With Random mentioning

confidence: 99%

An optimization model to solve the resource constrained project scheduling problem RCPSP in new product development projects•

Pimiento

Serna

2020

DYNA

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New product development projects (NPDP) face different risks that may affect the scheduling. In this article, the purpose was to develop an optimization model to solve the RCPSP in NPDP and obtain a robust baseline for the project. The proposed model includes three stages: the identification of the project’s risks, an estimation of activities’ duration, and the resolution of an integer linear program. Two versions of the model were designed and compared in order to select the best one. The first version uses a method to estimate the activities’ duration based on the expected value of the impact of the risks and the second version uses a method based on the judgmental risk analysis process. Finally, the two version of the model were applied to a case study and the best version of the model was identified using a robustness indicator that analyses the start times of the baselines generated.

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“…Shi and Gong (2009) analyzed the scarce resources, network complexity and the project manager's risk profile. Zhang, Cui, Bie and Chai (2011), identified a high degree of interaction between feed buffer size, service level, uncertainty on activities duration and total project duration. Liu, Chen and Peng (2012) analyzed the resource utilization factor, the network complexity and the risk aversion.…”

Section: Cc/bm Applied To Rcpspmentioning

confidence: 99%

The project scheduling problem with non-deterministic activities duration: A literature review

Pimiento

Serna

2018

JIEM

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Abstract:Purpose: The goal of this article is to provide an extensive literature review of the models and solution procedures proposed by many researchers interested on the Project Scheduling Problem with nondeterministic activities duration.Design/methodology/approach: This paper presents an exhaustive literature review, identifying the existing models where the activities duration were taken as uncertain or random parameters. In order to get published articles since 1996, was employed the Scopus database. The articles were selected on the basis of reviews of abstracts, methodologies, and conclusions. The results were classified according to following characteristics: year of publication, mathematical representation of the activities duration, solution techniques applied, and type of problem solved.Findings: Genetic Algorithms (GA) was pointed out as the main solution technique employed by researchers, and the Resource-Constrained Project Scheduling Problem (RCPSP) as the most studied type of problem. On the other hand, the application of new solution techniques, and the possibility of incorporating traditional methods into new PSP variants was presented as research trends.Originality/value: This literature review contents not only a descriptive analysis of the published articles but also a statistical information section in order to examine the state of the research activity carried out in relation to the Project Scheduling Problem with non-deterministic activities duration.

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Timely Project Completion Probability and Stability Cost on the Interaction among Uncertainty of Random Duration, Service Level and Feeding Buffer in a RCPSP Environment

Cited by 3 publications

References 2 publications

Management and Production Engineering Review

Management and Production Engineering Review

An optimization model to solve the resource constrained project scheduling problem RCPSP in new product development projects•

The project scheduling problem with non-deterministic activities duration: A literature review

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