Multi‐Objective Mathematical Programming Approach to Construction Laborer Assignment with Equity Consideration

Yi, Wen; Wang, Shuaian

doi:10.1111/mice.12239

Cited by 15 publications

(7 citation statements)

References 55 publications

(70 reference statements)

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“…In another review article, Zavadskas et al [52] presented a comprehensive analysis of the application of HMCDM methods for sustainability problems, including technology or product development/selection, personnel selection and company management, site selection, supply chains, etc. Yi and Wang [53] presented a multi-objective mathematical programming approach for construction laborer assignment with equity consideration. Pons et al [54] published an article devoted to the application of MCDM methods for the assessment of sustainability in architectural and engineering design; Penades-Pla et al [55] overviewed the sustainable design of bridges.…”

Section: Introductionmentioning

confidence: 99%

Sustainable Decision-Making in Civil Engineering, Construction and Building Technology

et al. 2017

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Sustainable decision-making in civil engineering, construction and building technology can be supported by fundamental scientific achievements and multiple-criteria decision-making (MCDM) theories. The current paper aims at overviewing the state of the art in terms of published papers related to theoretical methods that are applied to support sustainable evaluation and selection processes in civil engineering. The review is limited solely to papers referred to in the Clarivate Analytic Web of Science core collection database. As the focus is on multiple-criteria decision-making, it aims at reviewing how the papers on MCDM developments and applications have been distributed by period of publishing, by author countries and institutions, and by journals. Detailed analysis of 2015-2017 journal articles from two Web of Science categories (engineering civil and construction building technology) is presented. The articles are grouped by research domains, problems analyzed and the decision-making approaches used. The findings of the current review paper show that MCDM applications have been constantly growing and particularly increased in the last three years, confirming the great potential and prospects of applying MCDM methods for sustainable decision-making in civil engineering, construction and building technology.

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Section: Introductionmentioning

confidence: 99%

Sustainable Decision-Making in Civil Engineering, Construction and Building Technology

et al. 2017

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“…Florez (2017) investigated the problem of determining optimal crew formation. Some other researchers focused on work productivity, for example, Yi and Wang (2017), who investigated the work-rest design problem for improving productivity, and Yi and Wang (2016), who investigated the assignment optimization of laborers in the construction field with the objectives of productivity and occupational health and safety. Lumsden (1968) first proposed the concept of natural rhythm, which refers to the productivity achieved by an optimum crew size (Arditi et al, 2002b).…”

Section: Linear Scheduling and Lobmentioning

confidence: 99%

Resource Leveling Based on Line of Balance and Constraint Programming

Tang

Sun

Liu

et al. 2018

Computer aided Civil Eng

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This study investigated resource leveling problems concerning linear construction projects based on the line of balance (LOB) technique and constraint programming. In addition, an LOB‐based scheduling optimization model for resource leveling is proposed. This model retains the advantages of the conventional models, including multiple‐resource management and natural rhythm concept, and showcases new abilities: scheduling optimization without specifying a fixed schedule; scheduling optimization on more comprehensive optimization objects and variable values; maintaining continuity of resource while completely eliminating the occurrence of idle time; handling more comprehensive constraints after the addition of logical constraints and explicit expression of certain new constraints. The flexibility, practicality, and solution quality of the proposed model were enhanced accordingly. Further, a scheduling system was developed to assist in schedule optimization and visualization. Lastly, effectiveness of the proposed model was verified based on four case studies involving three case projects investigated in extant LOB‐based studies.

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“…Detailed descriptions of LOB that have existed for more than two generations are delegated to another literature (Hegazy, 1999) to allow the readers to access it. In addition, a mixed-integer linear programming method was used to reduce operation completion time, cost, and resource (Yi & Wang, 2016;Tao, Wu, Hu, & Xu, 2020) and balance multiskilled workers engaged in labor-intensive operation (Florez, 2017), albeit for different objectives.…”

Section: Introductionmentioning

confidence: 99%

Stochastic resource leveling optimization method for trading off float consumption and project completion probability

Gwak

Lee

2021

Computer aided Civil Eng

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Existing resource leveling (RL) approaches fall short of analyzing the trade-off relation between the total float consumption and project completion probability in a real-life project RL problem. This article presents a stochastic resource leveling optimization (SOLO) method that minimizes the total float consumption along with maximizing the project completion probability. It initializes the earliest start times of noncritical activities, measures the level of resource fluctuations of each candidate solution, computes the probability of completing a project in a target deadline by executing simulation-based scheduling, and identifies optimal solution(s) (i.e., optimal start times of noncritical activities) by implementing genetic algorithm, thereby identifying an optimal resource-leveled baseline.The study is of value to practitioners because SOLO considers both the amount of total float consumption and project completion probability. This study facilitates experimentation with different computation time-saving options given various constraints (i.e., the residual of project completion probabilities, threshold of release and rehire, ratio of criticality index, and number of critical activities). Test cases verify the validity of the computational method.How to cite this article: Gwak H-S, Lee D-E. Stochastic resource leveling optimization method for trading off float consumption and project completion probability.

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Multi‐Objective Mathematical Programming Approach to Construction Laborer Assignment with Equity Consideration

Cited by 15 publications

References 55 publications

Sustainable Decision-Making in Civil Engineering, Construction and Building Technology

Sustainable Decision-Making in Civil Engineering, Construction and Building Technology

Resource Leveling Based on Line of Balance and Constraint Programming

Stochastic resource leveling optimization method for trading off float consumption and project completion probability

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