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   a robust optimization of a discrete time-cost-environment trade-off project scheduling problem  
   
نویسنده salmasnia ali ,heydarnezhad elahe ,mokhtari hadi
منبع international journal of industrial engineering and production research - 2024 - دوره : 35 - شماره : 2 - صفحه:87 -104
چکیده    One of the important problems in managing construction projects is selecting the best alternative for activities’ execution to minimize the project’s total cost and time. however, uncertain factors often have negative effects on activity duration and cost. therefore, it is crucial to develop robust approaches for construction project scheduling to minimize sensitivity to disruptive noise factors. additionally, existing methods in the literature rarely focus on environmentally conscious construction management. achieving these goals requires incorporating the project scheduling problem with multiple objectives. this study proposes a robust optimization approach to determine the optimal construction operations in a project scheduling problem, considering time, cost, and environmental impacts (tce) as objectives. an analytical algorithm based on benders decomposition is suggested to address the robust problem, taking into account the inherent uncertainty in activity time and cost. to evaluate the performance of the proposed solution approach, a computational study is conducted using real construction project data. the case study is based on the wall of the east coast of amirabad port in iran. the results obtained using the suggested solution approach are compared to those of the cplex solver, demonstrating the appropriate performance of the proposed approach in optimizing the time, cost, and environment trade-off problem. 
کلیدواژه time-cost-environment trade off problem ,project scheduling ,multi-objective optimization ,robust optimization ,benders decomposition.
آدرس university of qom, faculty of technology, department of industrial engineering, iran, tarbiat modares university, faculty of industrial engineering, iran, university of kashan, faculty of engineering, department of industrial engineering, iran
پست الکترونیکی mokhtari_ie@kashanu.ac.ir
 
     
   
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