Robust Optimization for the Resource-Constrained Project Scheduling Problem with Duration Uncertainty

Artigues, Christian; Leus, Roel; Nobibon, Fabrice Talla

doi:10.1007/978-3-319-05915-0_10

Cited by 5 publications

(3 citation statements)

References 44 publications

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“…The benefit of the technology depends on the project environment, resource allocation and tasks execution. Complex decision-making for resource assignments to the related activities causes a problem because of tasks and resources constraints (Artigues et al , 2015). The need to satisfy the project constraints is a critical factor of a planning solution to achieve the project objectives (Qazi et al , 2016).…”

Section: Resultsmentioning

confidence: 99%

Construction project planning and scheduling as a dynamic system: a content analysis of the current status, technologies and forward action

Nwadigo

Naismith

Ghaffarianhoseini

et al. 2021

SASBE

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PurposeDynamic planning and scheduling forms a widely adopted smart strategy for solving real-world problems in diverse business systems. This paper uses deductive content analysis to explore secondary data from previous studies in dynamic planning and scheduling to draw conclusions on its current status, forward action and research needs in construction management.Design/methodology/approachThe authors searched academic databases using planning and scheduling keywords without a periodic setting. This research collected secondary data from the database to draw an objective comparison of categories and conclusions about how the data relates to planning and scheduling to avoid the subjective responses from questionnaires and interviews. Then, applying inclusion and exclusion criteria, we selected one hundred and four articles. Finally, the study used a seven-step deductive content analysis to develop the categorisation matrix and sub-themes for describing the dynamic planning and scheduling categories. The authors used deductive analysis because of the secondary data and categories comparison. Using the event types represented in a quadrant mapping, authors delve into where, when, application and benefits of the classes.FindingsThe content analysis showed that all the accounts and descriptions of dynamic planning and scheduling are identifiable in an extensive research database. The content analysis reveals the need for multi-hybrid (4D BIM-Agent based-discrete event-discrete rate-system dynamics) simulation modelling and optimisation method for proffering solutions to scheduling and planning problems, its current status, tools and obstacles.Originality/valueThis research reveals the deductive content analysis talent in construction research. It also draws direction, focuses and raises a question on dynamic planning and scheduling research concerning the five-integrated model, an opportunity for their integration, models combined attributes and insight into its solution viability in construction.

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Section: Resultsmentioning

confidence: 99%

Construction project planning and scheduling as a dynamic system: a content analysis of the current status, technologies and forward action

Nwadigo

Naismith

Ghaffarianhoseini

et al. 2021

SASBE

View full text Add to dashboard Cite

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“…Time-dependence as well as private knowledge and control of human performance can be captured by assuming the task processing times to be uncertain or vague. Depending on the type of uncertainty or vagueness and the risk attitude of the decision makers, different types of stochastic scheduling approaches [138,139], robust scheduling [140], or fuzzy scheduling [141] can be used. Alternatively, uncertainty can also be reduced by following decentralized approaches in which scheduling is managed by staff or team members disposing of exclusive domain knowledge.…”

Section: Optimization and Simulation Of Collaborative Human-machine T...mentioning

confidence: 99%

Engineering Human–Machine Teams for Trusted Collaboration

Alhaji

Beecken

Ehlers

et al. 2020

BDCC

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The way humans and artificially intelligent machines interact is undergoing a dramatic change. This change becomes particularly apparent in domains where humans and machines collaboratively work on joint tasks or objects in teams, such as in industrial assembly or disassembly processes. While there is intensive research work on human–machine collaboration in different research disciplines, systematic and interdisciplinary approaches towards engineering systems that consist of or comprise human–machine teams are still rare. In this paper, we review and analyze the state of the art, and derive and discuss core requirements and concepts by means of an illustrating scenario. In terms of methods, we focus on how reciprocal trust between humans and intelligent machines is defined, built, measured, and maintained from a systems engineering and planning perspective in literature. Based on our analysis, we propose and outline three important areas of future research on engineering and operating human–machine teams for trusted collaboration. For each area, we describe exemplary research opportunities.

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“…Among the many project scheduling problems dealing with uncertainty, the research on robust project scheduling has received an ever-growing attention (Demeulemeester and Herroelen, 2011;Bruni et al, 2017;Lamas and Demeulemeester, 2017;Ma et al, 2018). A robust project scheduling approach enables the generation of a proactive BS that is protected as much as possible against disruptions and deploys a reactive policy reasonably whenever a conflict in the ongoing schedule occurs (Artigues et al, 2015;Davari and Demeulemeester, 2017). The literature has distinguished between two types of robustness measures: quality robustness and solution robustness.…”

Section: Introductionmentioning

confidence: 99%

The integration of resource allocation and time buffering for bi-objective robust project scheduling

Liang

Cui

et al. 2019

International Journal of Production Research

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In the recent decades, the recognition that uncertainty lies at the heart of modern project management has induced considerable research efforts on robust project scheduling for dealing with uncertainty in a scheduling environment. The literature generally provides two main strategies for the development of a robust predictive project schedule, namely robust resource allocation and time buffering. Yet, the previous studies seem to have neglected the potential benefits of an integration between the two. Besides, few efforts have been made to protect simultaneously the project due date and the activity start times against disruptions during execution, which is desperately demanded in practice. In this paper, we aim at constructing a proactive schedule that is not only short in time but also less vulnerable to disruptions. Firstly, a bi-objective optimization model with a proper normalization of the two components is proposed in the presence of activity duration variability. Then a two-stage heuristic algorithm is developed which deals with a robust resource allocation problem in the first stage and optimally determines the position and the size of time buffers using a simulated annealing algorithm in the second stage. Finally, an extensive computational experiment on the PSPLIB network instances demonstrates the superiority of the combination between resource allocation and time buffering as well as the effectiveness of the proposed two-stage algorithm for generating proactive project schedules with composite robustness.

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Robust Optimization for the Resource-Constrained Project Scheduling Problem with Duration Uncertainty

Cited by 5 publications

References 44 publications

Construction project planning and scheduling as a dynamic system: a content analysis of the current status, technologies and forward action

Construction project planning and scheduling as a dynamic system: a content analysis of the current status, technologies and forward action

Engineering Human–Machine Teams for Trusted Collaboration

The integration of resource allocation and time buffering for bi-objective robust project scheduling

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