Fuzzy Clustering Chaotic-Based Differential Evolution for Resource Leveling in Construction Projects

Cheng, Min‐Yuan; Tran, Duc-Hoc; Hoang, Nhat‐Duc

doi:10.3846/13923730.2014.982699

Cited by 20 publications

(7 citation statements)

References 40 publications

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“…Moreover, Xu et al (2015) presented a bi-level model with several decision makers for a project scheduling problem in a random fuzzy environment, where both interests of the project owner (maximization of benefit and minimization of project completion time) and contractor (minimization of costs) were considered. Cheng et al (2016) introduced a new optimization model with the title of Fuzzy Clustering Chaotic-based Differential Evolution (FCDE) for solving Resource Leveling (FCDE-RL), where FCDE was developed by integration of differential evolution with c-mean fuzzy clustering and chaos techniques for solving complex optimization problems. Furthermore, Tran et al (2016) …”

Section: Fuzzy Schedulingmentioning

confidence: 99%

Resource-constrained project scheduling problem: review of past and recent developments

Habibi¹,

Barzinpour²,

Sadjadi³

2018

10.5267/j.jpm

108

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The project scheduling problem is both practically and theoretically of paramount importance. From the practical perspective, improvement of project scheduling as a critical part of project management process can lead to successful project completion and significantly decrease of the relevant costs. From the theoretical perspective, project scheduling is regarded as one of the interesting optimization issues, which has attracted the attention of many researchers in the area of operations research. Therefore, the project scheduling issue has been significantly evaluated over time and has been developed from various aspects. In this research, the topics related to Resource-Constrained Project Scheduling Problem (RCPSP) are reviewed, recent developments in this field are evaluated, and the results are presented for future studies. In this regard, first, the standard problem of RCPSP is expressed and related developments are presented from four aspects of resources, characteristics of activities, type of objective functions, and availability level of information. Following that, details about 216 articles conducted on RCPSP during 1980-2017 are expressed. At the end, in line with the statistics obtained from the evaluation of previous articles, suggestions are made for the future studies in order to help the development of new issues in this area.

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Section: Fuzzy Schedulingmentioning

confidence: 99%

Resource-constrained project scheduling problem: review of past and recent developments

Habibi¹,

Barzinpour²,

Sadjadi³

2018

10.5267/j.jpm

108

View full text Add to dashboard Cite

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“…In CPM scheduling, resource smoothing algorithms adjust scheduling activities that do not belong to the critical path within the constraints of their float (Cheng et al 2014). Thus, resource smoothing in CPM achieves similar results as LBMS for non-critical tasks.…”

Section: Resource Smoothingmentioning

confidence: 97%

Improving workflow and resource usage in construction schedules through location-based management system (LBMS)

Olivieri

Seppänen

Granja

2018

Construction Management and Economics

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Critical Path Method (CPM), a planning and controlling technique, is widely used in the construction industry. However, CPM is criticized for its lack of workflow and inability to schedule continuous resource usage. Location-Based Management System (LBMS) fill these gaps and has been implemented in many construction projects. We propose that LBMS will improve schedules and project performance, addressing CPM's main shortcomings. This study is composed of three case studies. CPM schedules were analyzed and were improved using LBMS tools. The resulting schedules show improved workflows, crew balancing, resource usage and had fewer interruptions, without affecting project duration. Furthermore, LBMS schedules were optimized with only a few scheduling operations and fewer planning elements. The computational benefit of LBMS increases with the number of locations and tasks in a schedule. Project managers will benefit from a simpler scheduling process and better resource flow.

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“…Hariga and El-Sayegh (2011) examined the resource levelling problem with the objective of minimizing the total costs of the variations in resource usage and the associated costs of splitting preemptive activities. Cheng et al (2017) introduced a method based on fuzzy clustering for solving resource levelling problems in construction projects. Damci and Polat (2014) reviewed the impact of different objective functions of resource levelling on resource usage.…”

Section: Resource Levelling In Projectsmentioning

confidence: 99%

Resource levelling in projects considering different activity execution modes and splitting

Khalilzadeh

2021

JEDT

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Purpose This study aims to develop a mathematical programming model for preemptive multi-mode resource-constrained project scheduling problems in construction with the objective of levelling resources considering renewable and non-renewable resources. Design/methodology/approach The proposed model was solved by the exact method and the genetic algorithm integrated with the solution modification procedure coded with MATLAB software. The Taguchi method was applied for setting the parameters of the genetic algorithm. Different numerical examples were used to show the validation of the proposed model and the capability of the genetic algorithm in solving large-sized problems. In addition, the sensitivity analysis of two parameters, including resource factor and order strength, was conducted to investigate their impact on computational time. Findings The results showed that preemptive activities obtained better results than non-preemptive activities. In addition, the validity of the genetic algorithm was evaluated by comparing its solutions to the ones of the exact methods. Although the exact method could not find the optimal solution for large-scale problems, the genetic algorithm obtained close to optimal solutions within a short computational time. Moreover, the findings demonstrated that the genetic algorithm was capable of achieving optimal solutions for small-sized problems. The proposed model assists construction project practitioners with developing a realistic project schedule to better estimate the project completion time and minimize fluctuations in resource usage during the entire project horizon. Originality/value There has been no study considering the interruption of multi-mode activities with fluctuations in resource usage over an entire project horizon. In this regard, fluctuations in resource consumption are an important issue that needs the attention of project planners.

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Fuzzy Clustering Chaotic-Based Differential Evolution for Resource Leveling in Construction Projects

Cited by 20 publications

References 40 publications

Resource-constrained project scheduling problem: review of past and recent developments

Resource-constrained project scheduling problem: review of past and recent developments

Improving workflow and resource usage in construction schedules through location-based management system (LBMS)

Resource levelling in projects considering different activity execution modes and splitting

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