IIT Mandi researchers use AI-enhanced operations research algorithms for wastewater management

Dr Atul Dhar and Dr Satvasheel Powar, School of Engineering – IIT Mandi (Image – Official Press Release)

Researchers from the Indian Institute of Technology at IIT Mandi used artificial intelligence, AI-enhanced operational research tools to select appropriate wastewater management methods. AI has been used to meet the socio-economic needs specific to certain environments.
The findings of the IIT Mandi researchers have been recognized and published in the Journal of Cleaner Production. The published article was authored by Dr. Atul Dhar and Dr. Sarvasheel Powar. Both are associate professors at IIT Mandi School of Engineering.

“While the choice of water treatment methods for a given society used to be based on human intuition, such an approach is no longer valid given the scale of the activity, the diversity of techniques available , the complexity of the current socio-economic fabric. society, and several conflicting criteria that need to be considered,” Dr. Satvasheel Powar said while explaining the research.

Powar further explained that the inspiration for the research is derived from the concept of “appropriate technology, AT” which was introduced by British economist EF Schumacher. According to the original definition, AT means that “any choice must be consistent with the cultural, social, economic and political institutions of society”.

“Given a specific set of sustainability criteria and their importance, Biopipe, MBR and SBR were ranked as the most sustainable options by MOORA and TOPSIS, which was validated by data analysis. Our research has shown that the SWARA-MOORA methodology is reliable and simple, and fuzzification further improves the stability of the results,” Dr. Atul Dhar said while further explaining the research.

According to the official press release, while the study was initially conducted to select the most environmentally friendly wastewater treatment technology, it can then be applied to any multi-criteria selection problem ranging from a consumer product investments and socio-cultural policies.

Sharon D. Cole