multi objective optimization model

Iran's geopolitical, economic, and social factors have significantly impacted international water resources alongside climatic influences in recent years. Consequently, identifying and implementing strategies to address a potential water crisis in the Harirud region has become crucial. This research primarily aims to uncover the factors influencing integrated water management in the Harirud basin. The findings will enhance decision-makers and policymakers' understanding of water resource utilization and management behaviors during drought periods. The sustainable development model serves as the theoretical framework for this study. The statistical sample comprises 12 interviewers and 128 subject-related experts, selected through a multi-stage technique with proportional allocation. Results from structural equation modeling indicate that geopolitical-hydrodynamic, technical-economic, institutional-legal, social-cultural, and infrastructural-physical variables exert the most significant influence on the adoption of water resource management policies. Practically, this research advocates for Integrated Basin Water Management (IBWM), with results offering vital policy implications to assist decision-makers in conserving international water resources.

The sustainable supplier selection (SSS) problem is an integral part of project procurement management. In this paper, a new extended grey relational analysis (GRA) based on the complex proportional assessment (COPRAS) is applied for SSS problems for using the merits of these two methods simultaneously. Furthermore, a new multi-objective optimization model (MOOM) is developed to obtain the objective weights of criteria. Moreover, to illustrate the uncertainty of real SSS problems and derived uncertainty of experts’ judgments, grey numbers are employed. To reduce the reliance on the experts, a new MOOM is developed for criteria’ weights determination. Finally, the performance of the introduced method is demonstrated by solving a numerical example.

Project procurement is one of the essential parts of the project covering a large portion of project costs. Supplier selection is one of the significant issues in project procurement. The appropriate supplier must be selected before ordering the materials needed for the project. Hence, a new combination of COPRAS and GRA methods is presented for choosing the best project’s supplier under uncertain conditions in this paper. Moreover, the weight of criteria is specified utilizing the multi-objective optimization model (MOOM). Furthermore, in group decision-making, decision-makers' importance is different because of varying education, views,  and experience. Hence, determining the weights of decision-makers is inevitable. Nevertheless, decision-makers' importance is specified by a new version of a combination of COPRAS and GRA methods. To evaluate the proposed model's performance, a numerical example is solved, and the results are investigated.