Using a risk-based approach to project scheduling: A case illustration from semiconductor manufacturing

Zafra-Cabeza, Ascensión; Ridao, Miguel A.; Camacho, Eduardo F.

doi:10.1016/j.ejor.2007.06.021

Cited by 28 publications

(14 citation statements)

References 21 publications

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“…Later, Zafra-Cabeza et al [35][36] proposed a novel approach that not only took into account the random duration of each activity but also the impact of the possible risks of a project. The formulated mathematical model uses a Model Predictive Control (MPC) technique to evaluate the risks impact of a project and the possibility of carrying out mitigation actions.…”

Section: A Relevant Literature Review For the Scheduling Problem In Npdpmentioning

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: A Relevant Literature Review For the Scheduling Problem In Npdpmentioning

confidence: 99%

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

Pimiento

Serna

2020

DYNA

View full text Add to dashboard Cite

show abstract

“…Gone et al [4] proposed a time-disturbance analysis method to optimize the utilization of activity floats, so that the delay of the project schedule can be minimized; Zafra-Cabeza et al [5] adopted a "p-timed Petri net" to represent the risk measure of an activity and developed a method to reduce the impact of risks; Yi and Langford [6] analyzed the safety disasters occurred in the past to develop a safety planning method for the project safety manager to focus on the concentration of safety risks in the project. Kilic et al [7] proposed a Genetic Algorithm to optimize the multiobjective optimization problem of project scheduling, considering four attributes: indirect costs, operation costs, risk reduction costs, and delay punishment costs; Schatteman et al [8] proposed a computer-aided risk management system to identify, analyze, and quantity the major risk factors, and to estimate their impacts to the project schedule so that risk reduction actions are planned; Zafra-Cabeza et al [9] conducted a Monte Carlo simulation of High-tech factory construction project using risk optimization techniques to optimize project cost and schedule.…”

Section: Integration Of Risk Management and Schedulingmentioning

confidence: 99%

A Risk-Based Critical Path Scheduling Method (II) : A Visual Approach System Using BIM

Chang¹,

Yu²,

Cheng³

2017

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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The traditional construction schedule planning methods are mostly based on the project activities list broken down by the experienced engineers who primarily analyze the work content of construction drawings, and the activity durations estimated by simulating the construction process according to the conditions of the construction site. However, such an approach does not only give hard time the new engineers without experience, but is also unable to capture the dynamic risk factors while estimating the construction duration. As a result, the planned schedule is usually inaccurate and ineffective. To tackle the abovementioned problem, this paper presents a BIM-based Visual Risk critical path Scheduling System (BIM-VRcpSS) to assist the construction scheduler in developing a more accurate and effective schedule. The proposed BIMVRcpSS provides functions of risk-based Critical Path Scheduling Method (R-CPSM) based on seven different risk levels. It also equips the construction schedulers with a 3D BIM visual simulation tool to better estimate the activity durations compared with the traditional 2D approaches. Moreover, with the aid of a cloud data based system, the construction schedulers are able to fine-tune duration estimates by considering the impacts of different risk factors without spatial and time limitations. As such, the proposed BIM-VRcpSS can increase the duration estimation accuracy of construction activities, and improve the traditional scheduling approaches.

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“…Other literature related to the integration between risk management and scheduling includes: (1) Application of risk analysis to float utilization and optimization [20][21]; (2) Application of risk evaluation to scheduling optimization [22][23]; (3) Risk-based scheduling and safety programming [24]; (4) Algorithm of risk reduction [25]; (5) Integration of risk management and scheduling technique [26]; (6) Case study of risk-based scheduling application [27]; (7) Quantitative method for risk analysis [28] [29]; (8) Integration of schedule control and risk information [30]. From the above literature, it is found that the integration of risk management with scheduling techniques can be beneficial to project management.…”

Section: The Integration Of Risk Management and Schedulingmentioning

confidence: 99%

A Risk-Based Critical Path Scheduling Method (I) : Model and Prototype Application System

Chang¹,

Yu²,

Cheng³

2017

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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The traditional cost-based Earned Value Management (EVM) method, and the related Earned Schedule Management (ESM) and Earned Duration Management (EDM), for construction project schedule control has been founded on the basis of Planned Value (PV). However, the relevant risk factors are usually not taken into account while the scheduler is estimating the duration of an activity. As a result, de facto value of PV is far away from the original planned one when the risk scenarios occur to the activities. To tackle the abovementioned problem, the current research proposes a Risk-based Critical Path Scheduling Method (R-CPSM) that assist the scheduler to take into account the spatial and various resource constraints as well as the environmental influences when he/she is planning the schedule of a project. A computer program to implement the proposed R-CPSM, namely Riskbased Critical Path Scheduling System (R-CPSS), is developed to test the feasibility of R-CPSM. The proposed R-CPSS is proved to be able to improve the problems of the traditional EVM schedule control methods due to the inaccurate estimation of the PV.

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Using a risk-based approach to project scheduling: A case illustration from semiconductor manufacturing

Cited by 28 publications

References 21 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•

A Risk-Based Critical Path Scheduling Method (II) : A Visual Approach System Using BIM

A Risk-Based Critical Path Scheduling Method (I) : Model and Prototype Application System

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