Production
https://prod.org.br/article/doi/10.1590/0103-6513.20240021
Production
Research Article

A simulation-based optimization model for quality control in solid waste collection process

Jean Paul Morán-Zabala; Jesus Alejandro Alzate-Grisales; Mario Alejandro Bravo-Ortiz; Mario Andrés Valencia-Diaz; Cristian Giovanny Gómez-Marín; Alejandra Maria Restrepo-Franco; Juan Miguel Cogollo-Flórez

http://dx.doi.org/10.1590/0103-6513.20240021 Production, vol.34, e20240021, 2024
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Abstract

Paper aims: The Solid Waste Collection (SWC) process is fundamental to maintaining the healthiness of cities and protecting the environment. There is a lack of methodologies for integrating process quality control techniques to evaluate SWC performance. This article develops a methodological implementation with a simulation-based optimization technique to model SWC process.

Originality: Development of new simulation-based optimization techniques and tools that improve and complement the traditional analysis of variables in SWC Process.

Research method: Feasible solutions are obtained through an optimization stage and then solutions are used as inputs for the simulation stage.

Main findings: There is a high correlation between the total tons collected and the total time. It is possible to optimize the collection routes by integrating process quality control techniques to reduce the total travel time, which will reduce the operating costs and the environmental impact. Simulation results demonstrate a reduction in error of over 90% for each day, with an optimization of 55% in total times.

Implications for theory and practice: The methodology enables the collection of data and results that accurately reflect the behavior and performance of the SWC process. By studying the process variability and uncertainty, enhancing the reliability and robustness of the results.

Keywords

Goal programming applications, Monte Carlo simulation, Optimization model, Quality control model, Solid waste collection management

References

Ahmad, I. (2018). Implementation of quality control. In G. S. Zaman (Ed.), Quality control in laboratory. London: IntechOpen. http://doi.org/10.5772/intechopen.77060.

Abd Manaf, L., Samah, M. A. A., & Zukki, N. I. M. (2009). Municipal solid waste management in Malaysia: practices and challenges. Waste Management, 29(11), 2902-2906. http://doi.org/10.1016/j.wasman.2008.07.015. PMid:19540745.

Abdullah, K. H. (2023). Time flies, waste piles: a bibliometric analysis of solid waste management research. Ecocycles, 9(2), 59-70. http://doi.org/10.19040/ecocycles.v9i2.310.

Alam, P., & Ahmade, K. (2013). Impact of solid waste on health and the environment. International Journal of Sustainable Development and Green Economics, 2(1), 165-168.

Aljebory, K. M., & Alshebeb, M. (2014). Integration of statistical and engineering process control for quality improvement. a case study: chemical industry-national chlorine industries. Jordan Journal of Mechanical and Industrial Engineering, 8(4), 243-256.

Cárdenas-Cuervo, R. A., Serna-Uran, C. A., & Gomez-Marin, C. G. (2023). Analysis of users’ requirements for public waste management services using fuzzy inference. Mendel, 29(2), 169-180. http://doi.org/10.13164/mendel.2023.2.169.

Carrazza, S., & Cruz-Martinez, J. M. (2020). VegasFlow: accelerating Monte Carlo simulation across multiple hardware platforms. Computer Physics Communications, 254, 107376. http://doi.org/10.1016/j.cpc.2020.107376.

Cherif, M., Chabchoub, H., & Aouni, B. (2008). Quality control system design through the goal programming model and the satisfaction functions. European Journal of Operational Research, 186(3), 1084-1098. http://doi.org/10.1016/j.ejor.2007.04.025.

Cogollo-Florez, J., & Valencia-Mena, O. (2022). Analyzing process quality control variables using fuzzy cognitive maps. Management and Production Engineering Review, 13(3), 94-101. http://doi.org/10.24425/mper.2022.142386.

Gutiérrez Pulido, H., & De la Vara Salazar, R. (2013). Statistical quality control and Six Sigma (3rd ed.). México: McGraw Hill.

Hannan, M. A., Lipu, M. H., Akhtar, M., Begum, R. A., Al Mamun, M. A., Hussain, A., Mis, M. S., & Basri, H. (2020). Solid waste collection optimization objectives, constraints, modeling approaches, and their challenges toward achieving sustainable development goals. Journal of Cleaner Production, 277, 123557. http://doi.org/10.1016/j.jclepro.2020.123557.

Hossain, M. S., Santhanam, A., Norulaini, N. N., & Omar, A. M. (2011). Clinical solid waste management practices and its impact on human health and environment: a review. Waste Management, 31(4), 754-766. http://doi.org/10.1016/j.wasman.2010.11.008. PMid:21186116.

Ignizio, J. P. (1983). Generalized goal programming an overview. Computers & Operations Research, 10(4), 277-289. http://doi.org/10.1016/0305-0548(83)90003-5.

Koot, M., Mes, M. R., & Iacob, M. E. (2021). A systematic literature review of supply chain decision making supported by the Internet of Things and Big Data Analytics. Computers & Industrial Engineering, 154, 107076. http://doi.org/10.1016/j.cie.2020.107076.

Li, P., Wu, H. J., & Chen, B. (2013). RSW-MCFP: a resource-oriented solid waste management system for a mixed rural-urban area through Monte Carlo simulation-based fuzzy programming. Mathematical Problems in Engineering, 10, 780354. http://doi.org/10.1155/2013/780354.

Lu, X., Pu, X., & Han, X. (2020). Sustainable smart waste classification and collection system: a bi-objective modeling and optimization approach. Journal of Cleaner Production, 276, 124183. http://doi.org/10.1016/j.jclepro.2020.124183.

Lyeme, H. A., Mushi, A., & Nkansah-Gyekye, Y. (2017). Implementation of a goal programming model for solid waste management: a case study of Dar es Salaam-Tanzania. International Journal for Simulation and Multidisciplinary Design Optimization, 8, A2. http://doi.org/10.1051/smdo/2016018.

Mangoro, N., & Kubanza, N. S. (2023). Community perceptions on the impacts of solid waste management on human health and the environment in Sub-Saharan African Cities: a study of Diepsloot, Johannesburg, South Africa. Development Southern Africa, 40(6), 1214-1233. http://doi.org/10.1080/0376835X.2023.2219698.

Martín-Pascual, J., Fernández-González, J. M., Ceccomarini, N., Ordoñez, J., & Zamorano, M. (2020). The study of economic and environmental viability of the treatment of organic fraction of municipal solid waste using Monte Carlo simulation. Applied Sciences, 10(24), 9028. http://doi.org/10.3390/app10249028.

Mascarenhas, L. C., Ness, B., Oloko, M., & Awuor, F. O. (2021). Multi-criteria analysis of municipal solid waste treatment technologies to support decision-making in Kisumu, Kenya. Environmental Challenges, 4, 100189. http://doi.org/10.1016/j.envc.2021.100189.

Morán-Zabala, J. P., & Cogollo-Flórez, J. M. (2023a). A goal programming-Monte Carlo simulation methodology for modeling process quality control. Management and Production Engineering Review, 14(2), 70-78. http://doi.org/10.24425/mper.2023.146024.

Morán-Zabala, J. P., & Cogollo-Flórez, J. M. (2023b). Designing a process quality control framework using Monte Carlo simulation. Dyna, 90(229), 19-24. http://doi.org/10.15446/dyna.v90n229.107557.

Pamukçu, H., Yapıcıoğlu, P. S., & Yeşilnacar, M. İ. (2023). Investigating the mitigation of greenhouse gas emissions from municipal solid waste management using ant colony algorithm, Monte Carlo simulation and LCA approach in terms of EU Green Deal. Waste Management Bulletin, 1(2), 6-14. http://doi.org/10.1016/j.wmb.2023.05.001.

Purkayastha, D., Majumder, M., & Chakrabarti, S. (2019). Municipal solid waste collection time optimization using AHP, GMDH and ANN. In A. S. Kalamdhad, J. Singh & K. Dhamodharan (Eds.), Advances in waste management: select proceedings of recycle (pp. 43-57). Singapore: Springer. http://doi.org/10.1007/978-981-13-0215-2_4.

Sadati, S. A., Zaukeri Getabi, P., & Rabbani, M. (2024). A sustainable modelling for solid waste management using analytical hierarchy process, Monte Carlo simulation and NSGA-III. International Journal of Systems Science: Operations & Logistics, 11(1), 2301603. http://doi.org/10.1080/23302674.2023.2301603.

Saha, J. K., Panwar, N., & Singh, M. V. (2010). An assessment of municipal solid waste compost quality produced in different cities of India in the perspective of developing quality control indices. Waste Management, 30(2), 192-201. http://doi.org/10.1016/j.wasman.2009.09.041. PMid:19857948.

Sanjeevi, V., & Shahabudeen, P. (2015). Development of performance indicators for municipal solid waste management (PIMS): a review. Waste Management & Research, 33(12), 1052-1065. http://doi.org/10.1177/0734242X15607428. PMid:26475776.

Sengupta, S. (1981). Goal programming approach to a type of quality control problem. The Journal of the Operational Research Society, 32(3), 207-211. http://doi.org/10.1057/jors.1981.43.

Tchobanoglous, G. (2009). Solid waste management. In N. L. Nemerow, F. J. Agardy, P. Sullivan & J. A. Salvato (Eds.), Environmental engineering: environmental health and safety for municipal infrastructure, land use and planning, and industry (pp. 177-308). New Jersey: Wiley. http://doi.org/10.1002/9780470432822.ch3.

Tian, B. G., Si, J. T., Zhao, Y., Wang, H. T., & Hao, J. M. (2007). Approach of technical decision-making by element flow analysis and Monte-Carlo simulation of municipal solid waste stream. Journal of Environmental Sciences, 19(5), 633-640. http://doi.org/10.1016/S1001-0742(07)60105-3. PMid:17915696.

Valdés-Manuel, J. I., & Cogollo-Flórez, J. M. (2022). Monitoring overdispersed process in clinical laboratories using control charts. Dyna, 89(224), 28-33. http://doi.org/10.15446/dyna.v89n224.103666.

Volsuuri, E., Owusu-Sekyere, E., & Imoro, A. Z. (2023). Quality analysis of solid waste management services in Ghana: a gap score approach. Cleaner Waste Systems, 4, 100071. http://doi.org/10.1016/j.clwas.2022.100071.

Wajs, W., Bieda, B., & Tadeusiewicz, R. (2000). Project cost analysis for Niepolomice municipal solid waste using the Monte Carlo simulation. WIT Transactions on Ecology and the Environment, 45, 10. http://doi.org/10.2495/RISK000221.

Zaccariello, L., Cremiato, R., & Mastellone, M. L. (2015). Evaluation of municipal solid waste management performance by material flow analysis: theoretical approach and case study. Waste Management & Research, 33(10), 871-885. http://doi.org/10.1177/0734242X15595284. PMid:26253498.

Zaeimi, M. B., & Rassafi, A. A. (2021). Optimization model for integrated municipal solid waste system using stochastic chance-constraint programming under uncertainty: a case study in Qazvin, Iran. Journal of Advanced Transportation, 2021, 55. http://doi.org/10.1155/2021/9994853.

Ziraba, A. K., Haregu, T. N., & Mberu, B. (2016). A review and framework for understanding the potential impact of poor solid waste management on health in developing countries. Archives of Public Health, 74(1), 55. http://doi.org/10.1186/s13690-016-0166-4. PMid:28031815.
 

Submitted date:
03/01/2024

Accepted date:
06/05/2024

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