A bi-objective model for robust resource-constrained project scheduling

Al-Fawzan, M. A.; Haouari, Mohamed

doi:10.1016/j.ijpe.2004.04.002

Cited by 201 publications

(114 citation statements)

References 20 publications

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“…The target group for the survey were engineers employed by contractors active in Lublin region, Poland. They were asked to assess frequency of occurrence and impact of the risk factors from the list using a five-point scale (1)(2)(3)(4)(5). In the course of the survey, 91 complete questionnaires were returned; the sample size was enough to consider it statistically representative: the minimum sample size was 83 (with 3% relative error and at 90% confidence interval).…”

Section: Proposed Methodology Of Predictive Schedulingmentioning

confidence: 99%

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Methodology for enhancing reliability of predictive project schedules in construction

Jaśkowski

2015

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Section: Proposed Methodology Of Predictive Schedulingmentioning

confidence: 99%

“…Schedule robustness is defined as the schedule's ability to stay valid despite minor changes in duration of processes (activities) -these changes being due to risk [1]. Two optimization strategies of different focuses are in use [28], namely:…”

Section: Introductionmentioning

confidence: 99%

Methodology for enhancing reliability of predictive project schedules in construction

Jaśkowski

2015

EiN

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“…Commonly, they suggest the use of surrogate measures for the resource constrained project scheduling problem. Al-Fawzan and Haouari (2005) use the sum of free slacks as a surrogate metric for measuring the robustness of a schedule. Kobylań ski and Kuchta (2007) discuss a limitation of this measure and propose using the minimum of all free slacks or the minimum of free slack/duration ratios.…”

Section: Measuring Robustnessmentioning

confidence: 99%

Robust scheduling and robustness measures for the discrete time/cost trade-off problem

Hazır

Haouari

Erel

2010

European Journal of Operational Research

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115

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a b s t r a c tProjects are often subject to various sources of uncertainties that have a negative impact on activity durations and costs. Therefore, it is crucial to develop effective approaches to generate robust project schedules that are less vulnerable to disruptions caused by uncontrollable factors. In this paper, we investigate the robust discrete time/cost trade-off problem, which is a multi-mode project scheduling problem with important practical relevance. We introduce surrogate measures that aim at providing an accurate estimate of the schedule robustness. The pertinence of each proposed measure is assessed through computational experiments. Using the insights revealed by the computational study, we propose a two-stage robust scheduling algorithm. Finally, we provide evidence that the proposed approach can be extended to solve a complex robust problem with tardiness penalties and earliness revenues.

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“…With regard to this problem, the time and resource estimation of project activities are considered as a critical task. This is because activities are subjected to delay with regard to uncontrollable factors that may increase their durations [3]. The current literature is enriched with models that have been proposed by researchers [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

“…This paper is developed based on two papers by Al-Fawzan and Haouari [3] and Abbasi et al [10]. Al-Fawzan and Haouari [3] proposed a bi-objective model in which two significant objectives were taken into account: 'makespan minimizing' and 'robustness maximizing'. The model was then solved using multi objective tabu search (MOTS).…”

Section: Introductionmentioning

confidence: 99%

A Robust Solution to Resource-Constraint Project Scheduling Problem

Mahalleh

Ashjari

Yousefi

et al. 2017

IJFIS

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This paper aims to propose a solution to the resource-constraint project scheduling problem (RCPSP). RCPSP is a significant scheduling problem in project management. Currently, there are insufficient studies dealing with the robustness of RCPSP. This paper improves the robustness of RCPSP and develops a Robust RCPSP, namely RRCSP. RRCSP is structured with relaxing a fundamental assumption that is 'the tasks start on time as planned'. Relaxing this assumption makes the model more realistic. The proposed solution minimizes the makespan while maximizing the robustness. Maximizing the robustness requires maximizing floating time of activities (it is NP hard). This creates more stability in the project finishing time. RCPSP stands as the root cause of many other problems such as multi-mode resourceconstrained project scheduling problems (MRCPSP), multi-skill resource-constrained project scheduling problem (MSRCPSP), or similar problems and hence proposing a solution to this problem contributes to pave a new line for future research in other mentioned areas. The applicability of the proposed model is examined through a numerical example.

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A bi-objective model for robust resource-constrained project scheduling

Cited by 201 publications

References 20 publications

Methodology for enhancing reliability of predictive project schedules in construction

Methodology for enhancing reliability of predictive project schedules in construction

Robust scheduling and robustness measures for the discrete time/cost trade-off problem

A Robust Solution to Resource-Constraint Project Scheduling Problem

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