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    Developing an Optimum Material Procurement Schedule by Integrating Construction Program and Budget Using NSGA-II

    Source: Journal of Construction Engineering and Management:;2021:;Volume ( 147 ):;issue: 004::page 04021017-1
    Author:
    Santu Kar
    ,
    Chirag Kothari
    ,
    Kumar Neeraj Jha
    DOI: 10.1061/(ASCE)CO.1943-7862.0002028
    Publisher: ASCE
    Abstract: Procuring the correct materials at the right time and for the lowest cost is essential in construction. This fact underlines the importance of an optimized material procurement schedule integrated with the construction schedule/program. However, few studies examine the development of a material procurement schedule by integrating the construction schedule and optimizing material costs as well as any material shortage impact. In addition, budget constraints and maximum storage capacity are rarely captured in existing models for material procurement optimization. To address these shortcomings, an optimization model is developed using the nondominated sorting genetic algorithm II (NSGA-II) and executed in MATLAB R2017a. This model was implemented in a construction project that developed a material delivery schedule based on the budget constraints and maximum storage capacity for five majorly used building materials, resulting in a costs saving of 31.17% and a reduction in shortage impact of 83.47% compared with the actual delivery schedule. The developed model also incorporates the minimum order quantity and standard shipping size as well as avoiding surplus materials, leading to sustainable procurement of materials. Construction practitioners can use this model for procuring materials when facing budget constraints in a construction project with the lowest cost and least shortage and without excess or insufficient purchasing. The model will aid in completing the project within the stipulated time and budgeted cost.
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      Developing an Optimum Material Procurement Schedule by Integrating Construction Program and Budget Using NSGA-II

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    contributor authorSantu Kar
    contributor authorChirag Kothari
    contributor authorKumar Neeraj Jha
    date accessioned2022-02-01T00:09:36Z
    date available2022-02-01T00:09:36Z
    date issued4/1/2021
    identifier other%28ASCE%29CO.1943-7862.0002028.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4271003
    description abstractProcuring the correct materials at the right time and for the lowest cost is essential in construction. This fact underlines the importance of an optimized material procurement schedule integrated with the construction schedule/program. However, few studies examine the development of a material procurement schedule by integrating the construction schedule and optimizing material costs as well as any material shortage impact. In addition, budget constraints and maximum storage capacity are rarely captured in existing models for material procurement optimization. To address these shortcomings, an optimization model is developed using the nondominated sorting genetic algorithm II (NSGA-II) and executed in MATLAB R2017a. This model was implemented in a construction project that developed a material delivery schedule based on the budget constraints and maximum storage capacity for five majorly used building materials, resulting in a costs saving of 31.17% and a reduction in shortage impact of 83.47% compared with the actual delivery schedule. The developed model also incorporates the minimum order quantity and standard shipping size as well as avoiding surplus materials, leading to sustainable procurement of materials. Construction practitioners can use this model for procuring materials when facing budget constraints in a construction project with the lowest cost and least shortage and without excess or insufficient purchasing. The model will aid in completing the project within the stipulated time and budgeted cost.
    publisherASCE
    titleDeveloping an Optimum Material Procurement Schedule by Integrating Construction Program and Budget Using NSGA-II
    typeJournal Paper
    journal volume147
    journal issue4
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/(ASCE)CO.1943-7862.0002028
    journal fristpage04021017-1
    journal lastpage04021017-14
    page14
    treeJournal of Construction Engineering and Management:;2021:;Volume ( 147 ):;issue: 004
    contenttypeFulltext
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