Data-Driven Optimization of Resource Allocation in Wastewater Treatment Plant Construction Projects Using Hybrid Simulation Models

@article{1703893,
      author = {Pratik Bhikhubhai Panchal},
      title = {Data-Driven Optimization of Resource Allocation in Wastewater Treatment Plant Construction Projects Using Hybrid Simulation Models},
      journal = {Iconic Research And Engineering Journals},
      year = {2022},
      volume = {6},
      number = {5},
      pages = {210-222},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1703893.pdf},
      abstract = {Continued development of wastewater treatment plants (WWTPs) as essential sustainable urban infrastructure encounters leading barriers from poor resource planning and resulting budget excesses and building delays. Traditionally, Planning methods show difficulty adjusting for complex WWTP projects mainly because uncertainty exists regarding labor productivity, material availability, and environmental limitations. The article investigates data-based optimization techniques for WWTP resource distribution through combination models of Discrete Event Simulation (DES) with System Dynamics (SD). Such integrated models help projects reach more accurate risk assessments by analyzing both stepwise operational occurrences and sustained interlocking processes that influence extended execution needs. This hybrid simulation framework uses construction data history, site inputs, predictive analytics, and optimization algorithms to analyze several resource allocation options. The approach used in a case study shows that it elevates decision-making abilities, resulting in better projects, expenses, and eq resource management. A sensitivity analysis method within the research checks how different conditions affect the model's stability. Hybrid simulation techniques lead to positive project results and sustainable infrastructure development by aligning construction methods with environmental and operational objectives. This article ends with recommendations for project managers and policymakers, followed by proposed research avenues involving connecting with digital twin technology and live IoT data streams.},
      keywords = {Wastewater Treatment Plants, Construction Optimization, Resource Allocation, Hybrid Simulation Models, Discrete Event Simulation, System Dynamics, Data-Driven Decision Making.},
      month = {November},
  }