A mathematical model for sustainable landfill allocation and waste management
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2025.16.1.08Keywords:
Landfill sites, Transportation cost, Emission cost, Landfill allocation, Cost Minimization, Sustainability, Waste managementDimensions Badge
Issue
Section
License
Copyright (c) 2025 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
With a population of 7.4 billion, the world is experiencing rapid population growth, contributing to increased waste production. Landfill construction and usage have increased as a result of this exponential rise in waste generation. Selecting a landfill site is crucial to sustainable solid waste management because it guarantees that the waste produced in a community or area is disposed of safely. This study establishes an LP model for cities with high per capita waste generation that takes into account several cost considerations. Furthermore, waste management is addressed, with a particular emphasis on construction and demolition waste (CDW) and municipal solid waste (MSW) by including emission costs and the transportation cost of both of these wastes to their respective landfills. The result demonstrates how the most efficient landfill satisfying the requirements is allocated. A Python code was developed to determine the landfill allocation for MSW and CDW. Seven landfills are assigned to each city for MSW and four landfills to the cities that met the CDW constraints and optimized the total cost of 4,25,03,971, which is the lowest amount required for the process of transporting both MSW and CDW from their collection areas to their respective dumping sites. This study aids in determining which landfills require additional development to accommodate their long-term usage.Abstract
How to Cite
Downloads
Similar Articles
- Esther Princess G, Navigating the challenges of moonlighting: A study of employee experiences in the FMCG sector in India , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- M. Kohila, S. Rethinavalli, A P2ECAM: A Trust-Preserving Cross-Cloud Data Migration Model For Resource-Constrained Mobile Devices Using Certificate-Free Elliptic Curve Cryptography , The Scientific Temper: Vol. 17 No. 02 (2026): The Scientific Temper
- Priydarshi Shireesh, Tiwari Atul Kumar, Singh Prashant, Rai Kumud, Mishra Dev Brat, Comparative Water Quality Analysis in Beso River in District Jaunpur, Azamgarh and Ghazipur Uttar Pradesh , The Scientific Temper: Vol. 12 No. 1&2 (2021): The Scientific Temper
- Nithya Raju , Shruthi Deivigarajan, Sindhuja Santhakumar, Sneha Balamurugan, Challenges encountered by healthcare professionals in monitoring adverse events due to medical devices-A review , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Rupesh Mandal, Bobby Sharma, Dibyajyoti Chutia , Smart flood monitoring in Guwahati city: A LoRa-based AIoT and edge computing sensor framework , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Suprabha Amit Kshatriya, Jaymin K Bhalani, Early detection of fire and smoke using motion estimation algorithms utilizing machine learning , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Vaishali Yeole, Rushikesh Yeole, Pradheep Manisekaran, Analysis and prediction of stomach cancer using machine learning , The Scientific Temper: Vol. 16 No. Spl-1 (2025): The Scientific Temper
- Adedotun Adedayo F, Odusanya Oluwaseun A, Adesina Olumide S, Adeyiga J. A, Okagbue, Hilary I, Oyewole O, Prediction of automobile insurance fraud claims using machine learning , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Neha Verma, Beyond likes & clicks: Empowering role of social media marketing in value creation , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- P. S. Dheepika, V. Umadevi, An optimized approach for detection and mitigation of DDoS attack cloud using an ensembled deep learning approach , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
<< < 15 16 17 18 19 20 21 22 23 24 > >>
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- Nalini S, Ritha W, Inventory model considering trade discounts and scrap disposal with sustainability , The Scientific Temper: Vol. 16 No. 04 (2025): The Scientific Temper
- Saarumathi R, Ritha W, Impregnable inventory stewardship for a closed loop supply chain besides energy usage, defective production and green investment manoeuvring pentagonal fuzzy number , The Scientific Temper: Vol. 16 No. 01 (2025): The Scientific Temper
- Vinodini R, Ritha W, The economic order quantity model for sustainable green inventory considers deterioration impact on the real-time replacement and various reorder points with imperfect quality items , The Scientific Temper: Vol. 16 No. 04 (2025): The Scientific Temper
- Nalini S., Ritha W, Sustainable inventory model with environmental factors using permissible delay in payments , The Scientific Temper: Vol. 16 No. 04 (2025): The Scientific Temper
- Vinodini R, Ritha W, A green inventory model for deteriorating items while producing overtime with nonlinear cost and stock dependent demand , The Scientific Temper: Vol. 16 No. 01 (2025): The Scientific Temper
- Saarumathi R, Ritha W, Conglomerate Charge and Merchandise Swayed Inventory Model for Fragile Vendibles , The Scientific Temper: Vol. 16 No. 01 (2025): The Scientific Temper
- Vinodini R, Ritha W, Sasitharan Nagapan, The green inventory model for sustainable environment that includes degrading products and backordering with integration of environmental cost , The Scientific Temper: Vol. 16 No. 08 (2025): The Scientific Temper
- Modenisha U, W. Ritha, Sasitharan Nagapan, Analysing the cost structure of construction sectors considering carbon emission factors , The Scientific Temper: Vol. 16 No. 08 (2025): The Scientific Temper

