رزومه


EN
هادی مختاری

هادی مختاری

دانشیار

دانشکده: دانشکده مهـندسـی

گروه: مهندسی صنایع

مقطع تحصیلی: دکترای تخصصی

رزومه
EN
هادی مختاری

دانشیار هادی مختاری

دانشکده: دانشکده مهـندسـی - گروه: مهندسی صنایع مقطع تحصیلی: دکترای تخصصی |

My Web Links:

ORCID: orcid.org/۰۰۰۰-۰۰۰۲-۵۲۹۷-۵۸۴۱

Scopus: www.scopus.com

Google-Scholar: www.scholar.google.com

 

My Research IDs:

Scopus ID: 35724525700

ORCID: 0000-0002-5297-5841

ResearcherID: H-۳۸۳۳-۲۰۱۵

نمایش بیشتر

Optimizing water sustainability: integrating blockchain technology in the water and wastewater supply chain management

نویسندگانهادی مختاری,سعید دهنوی آرانی
نشریهOperational Research
شماره صفحات39
شماره مجلد26
ضریب تاثیر (IF)ثبت نشده
نوع مقالهFull Paper
تاریخ انتشار2026-03-16
رتبه نشریهعلمی - پژوهشی
نوع نشریهالکترونیکی
کشور محل چاپایران
نمایه نشریهJCR ,SCOPUS
کلید واژه هاSupply chain design · Water distribution · Wastewater collection · Blockchain technology · Mathematical optimization

چکیده مقاله

The water and wastewater supply chain plays a pivotal role in promoting sustainability by ensuring access to clean water for diverse applications while effectively managing wastewater to mitigate environmental pollution. Efficient management of this supply chain is essential for conserving water resources, protecting ecosystems, and improving public health. Optimizing key processes such as treatment, distribution, and recycling can significantly reduce water losses and energy consumption. In this context, blockchain technology emerges as a promising solution to enhance transparency, traceability, and operational efficiency by securely recording transactions and data flows. However, blockchain adoption also entails operational energy use, social impacts, and fixed infrastructure costs that must be carefully balanced against its potential benefits. This study proposes a comprehensive water and wastewater supply chain framework incorporating dams, groundwater and surface water sources, treatment plants, reservoirs, demand zones, recycling collection centers, and industrial users. Water is collected from multiple sources, treated, stored, distributed to consumers, and subsequently collected for recycling and industrial reuse. To support optimal network design, a mixed-integer linear programming model is developed and validated through an illustrative case study.