Optimization of C&D Waste Supply Chain Using Rs–Gis Network Modeling for Pcmc
DOI:
https://doi.org/10.63856/9786pt12Keywords:
C&D Waste, GIS, Remote Sensing, Route Optimization, PCMC, Supply ChainAbstract
Rapid urbanization in Pimpri-Chinchwad Municipal Corporation (PCMC) has significantly increased Construction and Demolition (C&D) waste generation, creating challenges in transportation and disposal. This review paper presents an analytical overview of the application of Remote Sensing (RS) and Geographic Information Systems (GIS) for optimizing waste supply chain networks. The study evaluates existing waste management practices, identifies inefficiencies in routing and facility planning, and highlights the advantages of GIS-based network modeling integrated with shortest path algorithms. The findings indicate that spatial analysis and optimized routing can substantially reduce transportation distance, fuel consumption, and operational cost. The review emphasizes the importance of integrating geospatial technologies with optimization models to enhance sustainability and efficiency in urban waste management systems.
References
1. S. Sahoo et al., “Routing optimization for waste management,” Interfaces, 2005.
2. V. Sanjeevi and P. Shahabudeen, “GIS-based waste transportation optimization,” 2016.
3. M. Abdallah et al., “Dynamic waste collection optimization,” 2019.
4. N. Kapadia and R. Mehta, “IoT-based waste routing systems,” 2023.
5. S. Das and B. Bhattacharyya, “GIS optimization in waste management,” 2024.
6. Comparison of Existing vs Proposed Method
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Author(s)

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.



