Industry 4.0 in Waste Management: Unleashing Efficiency Amidst Challenges

Syed Muhammad Hassan Zaidi; Imriaz Hussain; Syeda Nazia Ashraf; Shiza Riaz Memon

doi:10.33411/IJIST/1972

Authors

Syed Muhammad Hassan Zaidi Department of Artificial Intelligence and Mathematical Sciences, Sindh Madressatul Islam University, Karachi, Sindh, Pakistan
Imriaz Hussain Department of Artificial Intelligence and Mathematical Sciences, Sindh Madressatul Islam University, Karachi, Sindh, Pakistan
Syeda Nazia Ashraf Department of Computer Sciences, Sindh Madressatul Islam University, Karachi, Sindh, Pakistan
Shiza Riaz Memon Department of Computer Sciences, Sindh Madressatul Islam University, Karachi, Sindh, Pakistan

DOI:

https://doi.org/10.33411/IJIST/1972

Keywords:

Waste Management, Industry 4.0, Modern Technologies, Challenges in Waste Management.

Abstract

The purpose of this paper is to highlight the problem of garbage generation worldwide and the necessity of having a sustainable future. Waste is generated by various sources, which is why it is extremely necessary to adopt an effective waste management approach to reduce its adverse impact. But the real challenge is the sheer volume of garbage produced. Within the framework of Industry 4.0, the paper explores AI-based waste classification systems that make use of robotics, the Internet of Things (IOT). Examples of the potential impact of AI include applications like deep learning and predictive analytics. Evidence from the reviewed literature indicates that AI-based waste classification systems can achieve classification accuracies of up to 99%, AI-driven route optimization can reduce operational costs by approximately 25–35%, interoperability-enabled smart collection systems can improve collection efficiency by up to 40%, and optical AI sorting technologies can achieve approximately 95% sorting accuracy under controlled industrial conditions. Simultaneously, Industry 4.0's integration of robots as its foundation and IOT-enabled technologies open significant opportunities for advancement. It also pinpoints various obstacles to smart waste management, including limited resources, lack of awareness/skills, resistance to change, interoperability, and security concerns. Additionally, mitigation remedies and tools for these challenges contribute to effective waste management.

References

Amasuomo, Ebikapade ; Baird, Jim., “The concept of waste and waste management,” J. Manag. Sustain., vol. 6, no. 4, pp. 88–96, 2016, doi: https://doi.org/10.5539/jms.v6n4p88.

S. Singh, S. Ramakrishna, and M. K. Gupta, “Towards zero waste manufacturing: A multidisciplinary review,” J. Clean. Prod., vol. 168, pp. 1230–1243, Dec. 2017, doi: 10.1016/J.JCLEPRO.2017.09.108.

N. J. Sinthiya, T. A. Chowdhury, and A. K. M. B. Haque, “Artificial Intelligence Based Smart Waste Management—A Systematic Review,” Green Energy Technol., pp. 67–92, 2022, doi: 10.1007/978-3-030-96429-0_3/SAVE-RESEARCH.

P. Sharma and U. Vaid, “Emerging role of artificial intelligence in waste management practices,” IOP Conf. Ser. Earth Environ. Sci., vol. 889, no. 1, p. 012047, Nov. 2021, doi: 10.1088/1755-1315/889/1/012047.

B. Fang et al., “Artificial intelligence for waste management in smart cities: a review,” Environ. Chem. Lett. 2023 214, vol. 21, no. 4, pp. 1959–1989, May 2023, doi: 10.1007/S10311-023-01604-3.

A. L. Alfeo et al., “Urban Swarms: A new approach for autonomous waste management,” Proc. - IEEE Int. Conf. Robot. Autom., pp. 4233–4240, Mar. 2019, doi: 10.1109/ICRA.2019.8794020.

M. W. Rahman, R. Islam, A. Hasan, N. I. Bithi, M. M. Hasan, and M. M. Rahman, “Intelligent waste management system using deep learning with IoT,” J. King Saud Univ. - Comput. Inf. Sci., vol. 34, no. 5, pp. 2072–2087, May 2022, doi: 10.1016/J.JKSUCI.2020.08.016.

U. Soni, A. Roy, A. Verma, and V. Jain, “Forecasting municipal solid waste generation using artificial intelligence models—a case study in India,” SN Appl. Sci. 2019 12, vol. 1, no. 2, pp. 162-, Jan. 2019, doi: 10.1007/S42452-018-0157-X.

M. Dhar, A. Roy, and P. Mandal, “Smart Waste Management System Using IoT,” 2024 IEEE Silchar Subsect. Conf. SILCON 2024, 2024, doi: 10.1109/SILCON63976.2024.10910604.

S. Mdukaza, B. Isong, N. Dladlu, and A. M. Abu-Mahfouz, “Analysis of loT-enabled solutions in smart waste management,” Proc. IECON 2018 - 44th Annu. Conf. IEEE Ind. Electron. Soc., pp. 4639–4644, Dec. 2018, doi: 10.1109/IECON.2018.8591236.

T. J. Sheng et al., “An Internet of Things Based Smart Waste Management System Using LoRa and Tensorflow Deep Learning Model,” IEEE Access, vol. 8, pp. 148793–148811, 2020, doi: 10.1109/ACCESS.2020.3016255.

E. Alvarez-de-los-Mozos and A. Renteria, “Collaborative Robots in e-waste Management,” Procedia Manuf., vol. 11, pp. 55–62, Jan. 2017, doi: 10.1016/J.PROMFG.2017.07.133.

W. Czekała, J. Drozdowski, and P. Łabiak, “Modern Technologies for Waste Management: A Review,” Appl. Sci. 2023, Vol. 13, Page 8847, vol. 13, no. 15, p. 8847, Jul. 2023, doi: 10.3390/APP13158847.

D. V. Koraganji, R. Garimella, and P. Kandra, “Current trends and future challenges in smart waste management in smart cities,” Adv. Org. Waste Manag. Sustain. Pract. Approaches, pp. 395–406, Jan. 2022, doi: 10.1016/B978-0-323-85792-5.00027-7.

R. Kumar, R. K. Singh, and Y. K. Dwivedi, “Application of industry 4.0 technologies in SMEs for ethical and sustainable operations: Analysis of challenges,” J. Clean. Prod., vol. 275, p. 124063, Dec. 2020, doi: 10.1016/J.JCLEPRO.2020.124063.

T. Anagnostopoulos et al., “Challenges and Opportunities of Waste Management in IoT-Enabled Smart Cities: A Survey,” IEEE Trans. Sustain. Comput., vol. 2, no. 3, pp. 275–289, Jul. 2017, doi: 10.1109/TSUSC.2017.2691049.

F. Alshohoumi, M. Sarrab, A. AlHamadani, and D. Al-Abri, “Systematic Review of Existing IoT Architectures Security and Privacy Issues and Concerns,” Int. J. Adv. Comput. Sci. Appl., vol. 10, no. 7, pp. 232–251, 2019, doi: 10.14569/IJACSA.2019.0100733.

N. Abdullah, O. A. Alwesabi, and R. Abdullah, “IoT-based smart waste management system in a smart city,” Adv. Intell. Syst. Comput., vol. 843, pp. 364–371, 2019, doi: 10.1007/978-3-319-99007-1_35/SAVE-RESEARCH.

M. Aqeel, F. Ali, M. W. Iqbal, T. A. Rana, M. Arif, and M. R. Auwul, “A Review of Security and Privacy Concerns in the Internet of Things (IoT),” J. Sensors, vol. 2022, no. 1, p. 5724168, Jan. 2022, doi: 10.1155/2022/5724168.

J. Singh, R. Laurenti, R. Sinha, and B. Frostell, “Progress and challenges to the global waste management system,” Waste Manag. Res., vol. 32, no. 9, pp. 800–812, Sep. 2014, doi: 10.1177/0734242X14537868.

D. Sanghavi, S. Parikh, and S. A. Raj, “Industry 4.0: Tools and implementation,” Manag. Prod. Eng. Rev., vol. 10, no. 3, pp. 3–13, 2019, doi: 10.24425/MPER.2019.129593.

J. J. Fuertes, M. Á. Prada, J. R. Rodríguez-Ossorio, R. González-Herbón, D. Pérez, and M. Domínguez, “Environment for Education on Industry 4.0,” IEEE Access, vol. 9, pp. 144395–144405, 2021, doi: 10.1109/ACCESS.2021.3120517.

E. C. EZE, I. A. AWODELE, and S. I. EGWUNATUM, “Labour–Specific Factors Influencing The Volume Of Construction Waste Generation In The Construction Industry,” J. Proj. Manag. Pract., vol. 1, no. 2, pp. 1–16, Dec. 2021, doi: 10.22452/JPMP.VOL1NO2.1.

O. Ayeni, “Smart Waste Management in the Age of Industry 4.0: IoT, AI and Blockchain Applications in Circular Economy Systems,” World J. Adv. Res. Rev., vol. 28, no. 1, pp. 379–391, Oct. 2025, doi: 10.30574/WJARR.2025.28.1.3358.

A. Addas, M. N. Khan, and F. Naseer, “Waste management 2.0 leveraging internet of things for an efficient and eco-friendly smart city solution,” PLoS One, vol. 19, no. 7, p. e0307608, Jul. 2024, doi: 10.1371/JOURNAL.PONE.0307608.

A. M. Alabdali, “Blockchain based solid waste classification with AI powered tracking and IoT integration,” Sci. Reports 2025 151, vol. 15, no. 1, pp. 15197-, Apr. 2025, doi: 10.1038/s41598-025-97030-2.

K. Ahmed, M. Kumar Dubey, A. Kumar, and S. Dubey, “Artificial intelligence and IoT driven system architecture for municipality waste management in smart cities: A review,” Meas. Sensors, vol. 36, p. 101395, Dec. 2024, doi: 10.1016/J.MEASEN.2024.101395.

Rima Grati, Faiza Loukil, Khouloud Boukadi & Mourad Abed, “A blockchain-based framework for circular end-of-life vehicle processing,” Cluster Comput., vol. 27, pp. 707–720, 2023, [Online]. Available: https://link.springer.com/article/10.1007/s10586-023-03981-4

D. B. Olawade et al., “Smart waste management: A paradigm shift enabled by artificial intelligence,” Waste Manag. Bull., vol. 2, no. 2, pp. 244–263, Jun. 2024, doi: 10.1016/J.WMB.2024.05.001.

Imtiaz Hussain, Syed Muhmmad Hassan Zaidi, Usman Khan, & Adnan Ahmed, “Sentiment Analysis Classification of ChatGPT Tweets Using Machine Learning and Deep Learning Algorithms,” J. Comput. Biomed. Informatics, vol. 8, no. 1, 2024, [Online]. Available: https://jcbi.org/index.php/Main/article/view/725

Syed Muhammad Hassan, Syed Asif Ali, Basit Hassan, Imtiaz Hussain, Maaz Rafiq, Saeed A. Awan, “Hybrid Features Binary Classification of Imbalance Stroke Patients Using Different Machine Learning Algorithms,” Int. J. Biol. Biomed. Eng., vol. 16, pp. 154–160, 2022, doi: 10.46300/91011.2022.16.20.

“An application of correspondence analysis, detrended correspondence analysis, and canonical correspondence analysis with reference to the vegetation and environment of calcareous hills around Karachi”, [Online]. Available: https://www.researchgate.net/publication/351092695_An_application_of_Correspondence_analysis_Detrended_correspondence_analysis_and_canonical_correspondence_analysis_with_reference_to_the_vegetation_and_environment_of_calcareous_hills_around_Karachi

Imtiaz Husain, NasirUddin Khan, ShahidShaukat S, “Mathematical techniques to study the spatial pattern of Meloidogyne javanica in relation to soil fungi and soil characteristics in a tomato-grown field,” Res. J. Recent Sci, vol. 4, no. 12, pp. 60–67, 2015, [Online]. Available: https://www.isca.me/rjrs/archive/v4/i12/9.ISCA-RJRS-2014-923.php

“Enhancing Lung Cancer Detection with Hybrid Machine Learning: Integrating Ant Colony Optimization”, [Online]. Available: https://www.researchgate.net/publication/384688161_Enhancing_Lung_Cancer_Detection_with_Hybrid_Machine_Learning_Integrating_Ant_Colony_Optimization

Syed Asif Ali, Dr Imtiaz Husain, Basit Hassan Qureshi, “Proficient masked face recognition method using deep learning convolution neural network in COVID-19 pandemic,” Int. J. Circuits Syst. Signal Process., vol. 15, pp. 1751–1758, 2021, doi: 10.46300/9106.2021.15.189.

Syed Muhammad Hassan, Imran Khan Keerio, “A hybrid approach to stance detection and sentiment analysis using BERT and VADER in Reddit discussions on the Israel–Palestine conflict,” Spectr. Emerg. Sci., vol. 3, no. 10, pp. 1391–1401, 2025, doi: 10.5281/zenodo.17487178.

Syed Muhammad Hassan Zaidi, Saeed Ahmed, Imtiaz Husain, Basit Hasan Qureshi, Sulaman Ahmad Naz, “A Hybrid Ai-Based University Students Queries Chatbot Using Nlp And Sbert Technologies,” Spectr. Eng. Sci., vol. 3, no. 10, pp. 275–288, 2025, [Online]. Available: https://thesesjournal.com/index.php/1/article/view/1183

M. Abdallah, M. Abu Talib, S. Feroz, Q. Nasir, H. Abdalla, and B. Mahfood, “Artificial intelligence applications in solid waste management: A systematic research review,” Waste Manag., vol. 109, pp. 231–246, May 2020, doi: 10.1016/J.WASMAN.2020.04.057.

A. A. A. Ahmed and A. Asadullah, “Artificial Intelligence and Machine Learning in Waste Management and Recycling,” Eng. Int., vol. 8, no. 1, pp. 43–52, May 2020, doi: 10.18034/EI.V8I1.498.

S. M. H. Zaidi et al., “Unsupervised classification of multi-class chart images: A comparison of customized CNNs and transfer learning techniques,” PeerJ Comput. Sci., vol. 11, 2025, doi: 10.7717/PEERJ-CS.3148/.

S. M. H. Zaidi, A. H. Khan, S. A. Shaikh, and I. Hussain, “Making STEM Subjects Graphs Accessible for Blind and Visually Impaired Students Using Document Understanding Transformer (DONUT) Model,” Int. J. Online Biomed. Eng., vol. 21, no. 14, pp. 4–19, Dec. 2025, doi: 10.3991/IJOE.V21I14.58675.

K. Pardini, J. J. P. C. Rodrigues, O. Diallo, A. K. Das, V. H. C. de Albuquerque, and S. A. Kozlov, “A Smart Waste Management Solution Geared towards Citizens,” Sensors 2020, Vol. 20, Page 2380, vol. 20, no. 8, p. 2380, Apr. 2020, doi: 10.3390/S20082380.

T. Ali, M. Irfan, A. S. Alwadie, and A. Glowacz, “IoT-Based Smart Waste Bin Monitoring and Municipal Solid Waste Management System for Smart Cities,” Arab. J. Sci. Eng. 2020 4512, vol. 45, no. 12, pp. 10185–10198, Jun. 2020, doi: 10.1007/S13369-020-04637-W.

A. Matin, M. R. Islam, X. Wang, H. Huo, and G. Xu, “AIoT for sustainable manufacturing: Overview, challenges, and opportunities,” Internet of Things, vol. 24, p. 100901, Dec. 2023, doi: 10.1016/J.IOT.2023.100901.

“(PDF) Internet of things in Smart Environment: Concept, Applications, Challenges, and Future Directions.” Accessed: Jul. 27, 2026. [Online]. Available: https://www.researchgate.net/publication/335207701_Internet_of_things_in_Smart_Environment_Concept_Applications_Challenges_and_Future_Directions

“LoraGateway - Tisalabs.” Accessed: Jul. 26, 2026. [Online]. Available: https://www.tisalabs.com/lora-gateway/

I. Laskurain-Iturbe, G. Arana-Landín, B. Landeta-Manzano, and N. Uriarte-Gallastegi, “Exploring the influence of industry 4.0 technologies on the circular economy,” J. Clean. Prod., vol. 321, p. 128944, Oct. 2021, doi: 10.1016/J.JCLEPRO.2021.128944.

M. Javaid, A. Haleem, R. P. Singh, and R. Suman, “Substantial capabilities of robotics in enhancing industry 4.0 implementation,” Cogn. Robot., vol. 1, pp. 58–75, Jan. 2021, doi: 10.1016/J.COGR.2021.06.001.

R. Sarc, A. Curtis, L. Kandlbauer, K. Khodier, K. E. Lorber, and R. Pomberger, “Digitalisation and intelligent robotics in value chain of circular economy oriented waste management – A review,” Waste Manag., vol. 95, pp. 476–492, Jul. 2019, doi: 10.1016/J.WASMAN.2019.06.035.

L. Q. Thao, “An automated waste management system using artificial intelligence and robotics,” J. Mater. Cycles Waste Manag. 2023 256, vol. 25, no. 6, pp. 3791–3800, Sep. 2023, doi: 10.1007/S10163-023-01796-4.

R. S. Batth, A. Nayyar, and A. Nagpal, “Internet of Robotic Things: Driving Intelligent Robotics of Future - Concept, Architecture, Applications and Technologies,” Proc. - 4th Int. Conf. Comput. Sci. ICCS 2018, pp. 151–160, Jul. 2018, doi: 10.1109/ICCS.2018.00033.

A. Zhang, V. G. Venkatesh, Y. Liu, M. Wan, T. Qu, and D. Huisingh, “Barriers to smart waste management for a circular economy in China,” J. Clean. Prod., vol. 240, p. 118198, Dec. 2019, doi: 10.1016/J.JCLEPRO.2019.118198.

S. K. Adanu, S. F. Gbedemah, and M. K. Attah, “Challenges of adopting sustainable technologies in e-waste management at Agbogbloshie, Ghana,” Heliyon, vol. 6, no. 8, p. e04548, Aug. 2020, doi: 10.1016/J.HELIYON.2020.E04548.

Y. A. Fatimah, K. Govindan, R. Murniningsih, and A. Setiawan, “Industry 4.0 based sustainable circular economy approach for smart waste management system to achieve sustainable development goals: A case study of Indonesia,” J. Clean. Prod., vol. 269, p. 122263, Oct. 2020, doi: 10.1016/J.JCLEPRO.2020.122263.

E. Fidje, M. Haddara, and M. Langseth, “Sustainable Smart Waste Management Adoption Challenges in Developing Countries,” Procedia Comput. Sci., vol. 219, pp. 905–914, Jan. 2023, doi: 10.1016/J.PROCS.2023.01.366.

P. Teimoory, “Towards robust security in smart payment systems: challenges and solutions,” Smart Cities Reg. Dev. J., vol. 9, no. 3, pp. 29–38, May 2025, doi: 10.25019/ZP8NVA19.

M. A. K. Basuony, R. I. Elseidi, and E. K. A. Mohamed, “The impact of corporate social responsibility on firm performance: Evidence form a mena country,” Corp. Ownersh. Control, vol. 12, no. 1CONT9, pp. 761–774, Sep. 2014, doi: 10.22495/COCV12I1C9P1.

R. Sánchez-Corcuera et al., “Smart cities survey: Technologies, application domains and challenges for the cities of the future,” Int. J. Distrib. Sens. Networks, vol. 15, no. 6, Jun. 2019, doi: 10.1177/1550147719853984;

K. Wang, Y. Zhao, R. K. Gangadhari, and Z. Li, “Analyzing the Adoption Challenges of the Internet of Things (IoT) and Artificial Intelligence (AI) for Smart Cities in China,” Sustain. 2021, Vol. 13, Page 10983, vol. 13, no. 19, p. 10983, Oct. 2021, doi: 10.3390/SU131910983.

T. D. Bui and M. L. Tseng, “Understanding the barriers to sustainable solid waste management in society 5.0 under uncertainties: a novelty of socials and technical perspectives on performance driving,” Environ. Sci. Pollut. Res. 2021 2911, vol. 29, no. 11, pp. 16265–16293, Oct. 2021, doi: 10.1007/S11356-021-16962-0.

M. Sharma, S. Joshi, D. Kannan, K. Govindan, R. Singh, and H. C. Purohit, “Internet of Things (IoT) adoption barriers of smart cities’ waste management: An Indian context,” J. Clean. Prod., vol. 270, p. 122047, Oct. 2020, doi: 10.1016/J.JCLEPRO.2020.122047.

M. Javaid, A. Haleem, R. P. Singh, R. Suman, and E. S. Gonzalez, “Understanding the adoption of Industry 4.0 technologies in improving environmental sustainability,” Sustain. Oper. Comput., vol. 3, pp. 203–217, Jan. 2022, doi: 10.1016/J.SUSOC.2022.01.008.

J. S. da M. Reis et al., “Striding towards Sustainability: A Framework to Overcome Challenges and Explore Opportunities through Industry 4.0,” Sustain. 2021, Vol. 13, Page 5232, vol. 13, no. 9, p. 5232, May 2021, doi: 10.3390/SU13095232.

“(PDF) AI And The Environment : Toward Sustainable Development And Conservation.” Accessed: Jul. 27, 2026. [Online]. Available: https://www.researchgate.net/publication/372717931_AI_And_The_Environment_Toward_Sustainable_Development_And_Conservation

R. S. Gbadegbe, D. Vigbedor, B. Asemsro, C. Asigbe, and M. Quashie, “Waste Management Practices in the Textile Industry: A Review,” J. Sustain. Dev., vol. 18, no. 5, p. 82, Sep. 2025, doi: 10.5539/JSD.V18N5P82.

Arvita Agus Kurniasari, “Automatic Pill Counting Using YOLOv8 to Improve Medication Distribution Accuracy,” Int. J. Public Heal. Excell., vol. 5, no. 2, pp. 28–33, 2026, doi: 10.55299/ijphe.v5i2.1724.