Mendeley
TY  _  JOUR
ID  -  1402121446018
TI  -  Presenting a Multi-Objective Model for the Allocation and Capacity Building of Industrial Wastewater Recycling Centers with the Aim of Minimizing Transportation Costs and Maximizing Recycled Water Production
JO  -  Journal of Innovation and Value Creation
JA  -  ES
LA  -  fa
SN  -  2717-0454
AU  -  mahmoodabadi mostafa
AU  -  abedi sadegh
AU  -  danesh shakib masoomeh
AD  -  
AD  -  دانشگاه آزاد اسلامی قزوین
AD  -  استادیار گروه مدیریت صنعتی دانشکده مدیریت و حسابداری دانشگاه ازاد اسلامی واحد قزوین 
Y1  -  2025
PY  -  2025
VL  -  26
IS  -  
SP  -  255
EP  -  274
KW  -  Industrial Wastewater Recycling
KW  -   Capacity Building
KW  -   Recycled Water Production
KW  -   Multi-Objective Model
KW  -   Grey Wolf Algorithm
DO  -  
N2  -  <p style="text-align: justify;">Wastewater, especially industrial wastewater, serves as a reservoir for pathogenic microorganisms capable of causing contamination and infection. If wastewater disposal management is not conducted with proper health and hygiene considerations, these microorganisms can spread through air, water, or via carriers to others. High competition among manufacturing industries, coupled with environmental pressures and internal requirements to reduce costs and delivery times, improve quality, and enhance suppliers' ability to produce diverse and new products in shorter timeframes, as well as the potential entry of foreign competitors into the industry, alongside environmental and health issues, necessitate better performance compared to other competitors in this industry, which provides a suitable context for this research. In this research, an intelligent model for planning and investing in urban surface wastewater collection infrastructure and its impact on pollutant dispersion was developed. After collecting data and modeling, and considering the problem's assumptions, it can determine the reduction of surface wastewater collection costs and the reduction of pollutant emissions to the environment based on the optimal routing of wastewater collection vehicles. Moreover, due to the NP-Hard nature of the problem, the multi-objective grey wolf optimization algorithm was used to minimize both objective functions under different scenarios and conditions. The results showed that the proposed model is capable of determining the problem in various dimensions from the perspective of increasing the number of wastewater collection vehicles, the number of candidate wastewater collection locations, the increase in wastewater accumulation at locations, the increase in the number of vehicles in the network, and the increase in the distance of candidate wastewater locations in a desirable manner to ensure that all accumulated wastewater at the candidate locations is collected by the network vehicles</p>
UR  - rimag.ir/en/Article/46018
L1  - rimag.ir/en/Article/Download/46018
ER  -  
