Decision Model for Medium-Term Municipal Waste Collection Optimisation
DOI:
https://doi.org/10.15611/pn.2024.5.08Keywords:
municipal waste schedule, decision-making model, optimisationAbstract
Aim: The article presents the process of municipal waste management, with particular emphasis on the organization of waste collection, and discusses the objectives of waste management, the principles of operation in Poland and order in municipalities, and various approaches to organizing waste collection. The rest of the article presents a decision model for schedule generation based on mixed integer programming (MIP). This model aims to minimise the number of resources involved while meeting the requirements regarding the frequency of waste collection. One distinguishing characteristic of the proposed method is its premise that transport-related work should remain constant throughout the entire year, irrespective of holidays or days off. To achieve this, the model incorporates schedule substitutions which enable the strategic adjustment of schedules for collection dates affected by holidays, while preventing significant spikes in waste collection volume on those days.
Methodology: The article proposes a decision model based on mixed integer programming (MIP), minimising the maximum amount of waste collected in one day.
Results: Using the proposed decision-making model, tests were carried out on a set of 35 instances corresponding to real problems of preparing waste collection schedules in cities in the Lower Silesian Voivodeship. The test results confirmed the model’s efficiency.
Implications and recommendations: The results obtained can be used in municipalities to create schedules and optimise the costs of municipal waste collection.
Originality/value: The model proposal presented in the article contains unique elements, such as a decision model for optimising municipal waste collection over the year and substitutions in the context of the waste collection schedule. Introducing test case analysis adds value by demonstrating the practical application of the model.
References
Cherrett, T., Allen, J., McLeod, F., Maynard, S., Hickford, A., & Browne, M. (2012). Understanding Urban Freight Activity – Key Issues for Freight Planning. Journal of Transport Geography, 24, 22-32.
Das, S., & Bhattacharyya, B. K. (2015). Optimization of Municipal Solid Waste Collection and Transportation Routes. Waste Management, 43(1), 9-18.
Fadda, E., Gobbato, L., Perboli, G., Rosano, M., & Tadei, R. (2018). Waste Collection in Urban Areas: A Case Study. Interfaces, 48(4), 307-322.
Ghiani, G., Lagan, D., Manni, E., Musmanno, R., & Vigo, D. (2014). Operations Research in Solid Waste Management: A Survey of Strategic and Tactical Issues. Computers and Operations Research, 44(4), 22-32.
Hemidat, S., Oelgemöller, D., Nassour, A., & Nells, M. (2017). Evaluation of Key Indicators of Waste Collection Using GIS Techniques as a Planning and Control Tool for Route Optimization. Waste Biomass Valor, 8, 1533-1554.
Hemmelmayr, V. C., Doerner, K. F., Hartl, R. F., & Vigo, D. (2014). Models and Algorithms for the Integrated Planning of Bin Allocation and Vehicle Routing in Solid Waste Management. Transportation Sci, 48(1), 103-120.
Hung-Yueh, L., Zong-Pei, T., Guan-Hwa, C., & Jehng-Jung, K. (2011). A Model for the Implementation of a Two-Shift Municipal Solid Waste and Recyclable Material Collection Plan that Offers Greater Convenience to Residents. Journal of the Air & Waste Management Association, 61(1), 55-62.
Kin, B., Verlinde, S., & Macharis, C. (2017). Sustainable Urban Freight Transport in Megacities in Emerging Markets. Sustainable Cities and Society, 32, 31-41.
Knickmeyer, D. (2020). Social Factors Influencing Household Waste Separation: A Literature Review on Good Practices to Improve the Recycling Performance of Urban Areas. Journal of Cleaner Production, 245.
Marseglia, G., Mesa, J. A., Ortega, F. A., & Piedra-de-la-Cuadra, R. (2022). A Heuristic for the Deployment of Collecting Routes for Urban Recycle Stations (eco-points). Socio-Economic Planning Sciences, 82, Part A.
Mes, M., Schutten, M., Rivera, A. P. (2014). Inventory Routing for Dynamic Waste Collection. Waste Management 34(9), 1564-1576.
Pal, M. S., & Bhatia, M., (2022). Lifetime Maximization of Bin Level IoT Sensor and Route Optimization for Smart Waste Management in Hilly City Shimla, India: a Comparative Analysis (2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT, pp. 1-6).
Shan-Huen, H., & Pei-Chun, L. (2015). Vehicle Routing–Scheduling for Municipal Waste Collection System under the “Keep Trash off the Ground” Policy. Omega, 55, 24-37.
Sosunova, I., & Porras, J. (2022). IoT-Enabled Smart Waste Management Systems for Smart Cities: A Systematic Review, IEEE Access, 10, 73326-73363.
Downloads
Published
Issue
Section
Categories
License
Copyright (c) 2025 Paweł Hanczar

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Accepted 2024-03-25
Published 2025-03-18