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    Evaluating efficiency in construction projects with the TOPSIS model and NDEA method considering environmental effects and undesirable data
    (Springer Science+Business Media, 2021-05-30)
    Today, project stakeholders seek to reduce the total costs and durations of projects while increasing their quality levels. Also, the governments have paid more attention to the environmental effects of projects. This study tackles the time–cost–quality-environmental effects trade-off project scheduling problem. Various activity execution modes are evaluated using the network data envelopment analysis (NDEA) method to select the best modes in order to mitigate the environmental impacts, along with reducing the duration and cost of project implementation and enhancing the overall quality of the project. The method of ideal and anti-ideal virtual units is applied to rank the efficient execution modes. In addition, the TOPSIS method is utilized to rank the different execution modes of each activity. Finally, the results of two methods are compared. The findings show that the selection of an efficient execution mode for each activity leads to a trade-off between the four project objectives including time, cost, quality, environmental impacts. The shortest project duration and the lowest total project cost were obtained using the NDEA-Nuo method, the highest quality level was gained by the NDEA-INP method, and the minimum environmental impacts of the entire project were attained by the TOPSIS method. Also, the lowest amount of resource consumption was obtained using the TOPSIS method, so that the daily consumption amount of each resource was less than the other two methods. As a result, the project management team can apply either the NDEA or TOPSIS method based on the organizational policy.
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    Towards sustainable project scheduling with reducing environmental pollution of projects: fuzzy multi-objective programming approach to a case study of Eastern Iran
    (Springer Science+Business Media, 2022-05-09)
    Implementation of projects with an acceptable quality level in the minimum cost and time has always been the ultimate goal of managers and decision-makers in the construction industry. On the other hand, the construction industry is responsible for creating various environmental problems. Therefore, reducing the environmental destructive effects of project implementation is of utmost importance. The aim of this paper is to consider the environmental pollution along with the project iron triangle of cost, time, and quality in the scheduling of the construction projects. A multi-objective multi-mode resource-constraint project scheduling model is presented considering the generalized precedence constraints between project activities as well as the limitation of renewable resources and non-renewable resources. In this study, the environmental effects of construction projects as well as the three conflicting goals of cost (budget), time (duration), and quality are taken into account. Also, the limitations of renewable and non-renewable resources as well as the generalized activity precedence relationships are incorporated into the proposed model. The proposed model was implemented on a rural water supply project including 25 activities and was solved using the fuzzy goal programming approach with GAMS software. Different combinations of activity modes were presented along with the start time of each activity considering four objective functions. The results showed that this project would be completed in 190 days, at the cost of $15,394, with the quality level of 0.835, and environmental effects of 0.372, which are between the optimal and worst objective functions values. In addition, the sensitivity analysis indicates the high efficiency of the proposed model and its capability in assisting project managers and planners.