A Comprehensive and Practical Framework for Reliable Scheduling in Project Management

Mansoorzadeh, Shiva; Yusof, Sha’ri Mohd; Mansoorzadeh, Shahriar; Zeynal, Hossein

doi:10.4028/www.scientific.net/amr.903.378

Cited by 3 publications

(3 citation statements)

References 16 publications

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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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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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“…On the other hand, Mansoorzadeh, Yusof, Mansoorzadeh, and Zeynal [34] proposed a framework based on the integration of risk management and Critical…”

Section: B Proactive Strategy To Solve the Psp With Random Duration Of Activitiesmentioning

confidence: 99%

Relative Average Deviation as Measure of Robustness in the Stochastic Project Scheduling Problem

Ortiz-Pimiento

Díaz-Serna

2019

Rev. Fac. Ing.

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In the Project Scheduling Problem (PSP), the solution robustness can be understood as the capacity that a baseline has to support the disruptions generated by unplanned events (risks). A robust baseline of the project can be obtained from redundancy based methods, which are considered proactive methods to solve the stochastic project scheduling problem. In this research, three redundancy based methods are evaluated and their performance is compared in terms of robustness. These methods add extra time to the original activities duration in order to face the eventualities that may appear during the project execution. In this article a new indicator to analyze the solution robustness to the Project Scheduling Problem with random duration of activities is proposed. This indicator called Relative Average Deviation (RAD) is defined as the margin of deviation of the activities’ start times in relation to their durations. The RAD is based in a traditional concept that seeks to minimize the value of the differences between the planned start times and the real executed start times. The planned start times were obtained from the project baseline generated by each redundancy based method and the real executed start times were obtained from a simulation process based on Monte Carlo technique. The new indicator was used to evaluate the robustness of three baselines generated by different methods but applied to the same case study. Finally, the results suggest that the Relative Average Deviation (RAD) facilitates the interpretation of the robustness concept because it focuses on analyzing the deviation margin associated with an activity.

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“…Their objectives have been to find an optimum solution for resource allocation, rescheduling, buffer insertion and project duration in CCPM. Another aspect is to improve CCPM reliability via combining it with the existing risk management techniques (Steyn, 2002;Mansoorzadeh and Yusof, 2011;Mansoorzadeh et al, 2014;Thipparate, 2014). One last aspect considered by improving studies has been identification of CCPM success factors by Repp and Wright (2013) and Simpson and Lynch (1999).…”

Section: Other Improvementsmentioning

confidence: 99%

The Impact of Soft Total Quality Management Practices on Employees’ Job Satisfaction: Evidence from Project Based Organizations in Pakistan

Amin¹,

Szabist²,

Ahmad³

2015

Project Management Development – Practice and Perspectives : Fourth International Scientific Conference on Project Management I

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A Comprehensive and Practical Framework for Reliable Scheduling in Project Management

Cited by 3 publications

References 16 publications

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

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

Relative Average Deviation as Measure of Robustness in the Stochastic Project Scheduling Problem

The Impact of Soft Total Quality Management Practices on Employees’ Job Satisfaction: Evidence from Project Based Organizations in Pakistan

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