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    Multiskilled Project Management Workforce Assignment across Multiple Projects Regarding Competency

    Source: Journal of Construction Engineering and Management:;2020:;Volume ( 146 ):;issue: 012
    Author:
    Mohsen Sarihi
    ,
    Vahid Shahhosseini
    ,
    Mohammad Taghi Banki
    DOI: 10.1061/(ASCE)CO.1943-7862.0001938
    Publisher: ASCE
    Abstract: Contractors attempt to manage optimal collection of human capital that can optimize the company’s performance. The skills and competency of human resources contribute considerably to the competitive advantage of the firm. Yet the skill shortage problem encourages utilizing strategies that bring more flexibility to workforce management. Multiskilling has been suggested as a potential strategy that assists workforce assignment across multiple projects. However, it brings new challenges for company workforce managers. This study contributes to the construction project management body of knowledge by proposing a simulation framework for assigning multiskilled, mainly managerial, workforces across multiple projects of one company. Meanwhile, it is a combination of a staffng and scheduling decision model, incorporating workers’ competency status. A cohesive mathematical model using the cost objective function optimizes the entire allocation process toward minimizing resource usage and fluctuations, minimizing costs, and maximizing social sustainability. Ultimately, a validation example incorporating diverse workers’ competency data is provided to exemplify how the optimization model performs in an academic setting compared with three commonly used methods in workforce assignment. This approach provides insight into simulating workforce assignments across multiple projects regarding competency.
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      Multiskilled Project Management Workforce Assignment across Multiple Projects Regarding Competency

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4268351
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    contributor authorMohsen Sarihi
    contributor authorVahid Shahhosseini
    contributor authorMohammad Taghi Banki
    date accessioned2022-01-30T21:31:23Z
    date available2022-01-30T21:31:23Z
    date issued12/1/2020 12:00:00 AM
    identifier other%28ASCE%29CO.1943-7862.0001938.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4268351
    description abstractContractors attempt to manage optimal collection of human capital that can optimize the company’s performance. The skills and competency of human resources contribute considerably to the competitive advantage of the firm. Yet the skill shortage problem encourages utilizing strategies that bring more flexibility to workforce management. Multiskilling has been suggested as a potential strategy that assists workforce assignment across multiple projects. However, it brings new challenges for company workforce managers. This study contributes to the construction project management body of knowledge by proposing a simulation framework for assigning multiskilled, mainly managerial, workforces across multiple projects of one company. Meanwhile, it is a combination of a staffng and scheduling decision model, incorporating workers’ competency status. A cohesive mathematical model using the cost objective function optimizes the entire allocation process toward minimizing resource usage and fluctuations, minimizing costs, and maximizing social sustainability. Ultimately, a validation example incorporating diverse workers’ competency data is provided to exemplify how the optimization model performs in an academic setting compared with three commonly used methods in workforce assignment. This approach provides insight into simulating workforce assignments across multiple projects regarding competency.
    publisherASCE
    titleMultiskilled Project Management Workforce Assignment across Multiple Projects Regarding Competency
    typeJournal Paper
    journal volume146
    journal issue12
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/(ASCE)CO.1943-7862.0001938
    page12
    treeJournal of Construction Engineering and Management:;2020:;Volume ( 146 ):;issue: 012
    contenttypeFulltext
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