An Ergo–Green–Lean Framework for Sustainability Performance Assessment in Coffee Agroindustry
DOI:
https://doi.org/10.9744/jti.28.2.139%20-%20151Keywords:
Ergo–Green–Lean, Fuzzy AHP, Manufacturing Performance, Sustainability Assessment, Coffee ProcessingAbstract
There is growing pressure in the manufacturing sector to address operational efficiency alongside environmental and worker well-being. However, major existing sustainability assessment methods have notable flaws: most evaluate ergonomic, environmental, and operational performance separately. This approach cannot identify cross-dimensional performance gaps, nor can it support integrated operational decision-making. To address this issue, this study proposes an integrated Ergonomic-Green-Lean (EGL) manufacturing performance assessment framework for the coffee agroindustry. The method uses the Fuzzy Analytical Hierarchy Process (Fuzzy AHP) to determine indicator weights under uncertain expert judgment, and a Traffic Light System (TLS) for performance level classification. The calculated weights for the three dimensions are 0.36 for ergonomics, 0.34 for lean practices, and 0.30 for green practices. However, ergonomics made the lowest actual contribution to performance. The overall EGL performance index reached 67.7%, which falls in the medium range. The core finding is that there is a clear mismatch between the strategic importance of human factors in this production system and their actual performance. The proposed EGL framework links indicator importance with realized operational performance, enabling the identification of importance–performance mismatches and supporting more coordinated improvement priorities.
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[1] B. Bigliardi, E. Bottani, E. Gianatti, L. Monferdini, B. Pini, and A. Petroni, "Sustainable additive manufacturing in the context of Industry 4.0: A literature review," Procedia Computer Science, vol. 232, pp. 766-774, 2024.doi:https://doi.org/10.1016/j.procs.2024.01.076
[2] F. Hermundsdottir and A. Aspelund, "Competitive sustainable manufacturing - Sustainability strategies, environmental and social innovations, and their effects on firm performance," Journal of Cleaner Production, vol. 370, p. 133474, 2022. doi: https://doi.org/10.1016/j.jclepro.2022.133474
[3] J. Bhamu, J. Bhadu, and K. Sangwan, "Lean manufacturing implementation in ceramic industry: A case study," Sustainable Production, Life Cycle Engineering and Management, 2020. doi: https://doi.org/10.1007/978-3-030-44248-4_3
[4] C. Cimini, A. Lagorio, S. Cavalieri, O. Riedel, C. E. Pereira, and J. Wang, "Human-technology integration in smart manufacturing and logistics: Current trends and future research directions," Computers & Industrial Engineering, vol. 169, p. 108261, 2022. doi: https://doi.org/10.1016/j.cie.2022.108261
[5] S. E. Mudiyanselage, P. H. Nguyen, M. S. Rajabi, and R. Akhavian, "Automated workers’ ergonomic risk assessment in manual material handling using sEMG wearable sensors and machine learning," Electronics, vol. 10, no. 20, p. 2558, 2021. doi: https://doi.org/10.3390/electronics10202558
[6] G. L. Tortorella, G. Narayanamurthy, and M. Thurer, "Identifying pathways to a high-performing lean automation implementation: An empirical study in the manufacturing industry," International Journal of Production Economics, vol. 231, p. 107918, 2021. doi: https://doi.org/10.1016/j.ijpe.2020.107918
[7] M. Kumar and M. Mani, "Sustainability assessment in manufacturing for effectiveness: Challenges and opportunities," Frontiers in Sustainability, vol. 3, p. 837016, 2022. doi: https://doi.org/10.3389/frsus.2022.837016
[8] S. Hendiani, H. Liao, M. Bagherpour, M. Tvaronavičienė, A. Banaitis, and J. Antuchevičienė, "Analyzing the status of sustainable development in the manufacturing sector using multi-expert multi-criteria fuzzy decision-making and integrated triple bottom lines," International Journal of Environmental Research and Public Health, vol. 17, 2020. doi: https://doi.org/10.3390/ijerph17113800
[9] S. Dewi, R. Febrianti, and D. Utama, "An integrated method for manufacturing sustainability assessment in tire industry: A case study in Indonesian," International Journal of Sustainable Engineering, vol. 16, pp. 1-12, 2023. doi: https://doi.org/10.1080/19397038.2023.2276936
[10] G. Contini and M. Peruzzini, "Sustainability and Industry 4.0: Definition of a set of key performance indicators for manufacturing companies," Sustainability, vol. 14, no. 17, p. 11004. 2022. doi: https://doi.org/10.3390/su141711004
[11] A. S. Kemala and D. L. Widaningrum, "Integrating lean manufacturing and environmental sustainability: A framework for the automotive component industry," Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri, vol. 27, no. 2, pp. 213-224, 2025.doi:10.9744/jti.27.2.213-224
[12] A. Cherrafi, S. Elfezazi, K. Govindan, J. Garza‐Reyes, K. Benhida, and A. Mokhlis, "A framework for the integration of green and lean six sigma for superior sustainability performance," International Journal of Production Research, vol. 55, pp. 4481-4515, 2017.doi: https://doi.org/10.1080/00207543.2016.1266406
[13] A. Colim et al., "Lean manufacturing and ergonomics integration: Defining productivity and wellbeing indicators in a human–robot workstation," Sustainability, vol. 13, no. 4, p. 1931. doi: https://doi.org/10.3390/su13041931
[14] I. Surya, S. Sukaria, M. Nazaruddin, and U. Ciptomulyono, "Development of a lean and green indicators for sustainability assessment in processing manufacturing industries: A Delphi approach," Journal of Electrical Systems, 2024. doi: https://doi.org/10.52783/jes.1447
[15] K. Zekhnini, A. Cherrafi, I. Bouhaddou, A. Chaouni Benabdellah, and S. Bag, "A model integrating lean and green practices for viable, sustainable, and digital supply chain performance," International Journal of Production Research, vol. 60, no. 21, pp. 6529-6555, 2022. doi: https://doi.org/10.1080/00207543.2021.1994164
[16] A. K. Garside, T. Y. Rosiani, A. Amanda, T. E. Saputro, and E. e Oliveira, "Enhanced sustainability assessment framework for plywood manufacturing: A multi-method approach using Delphi technique, BWM, and S-VSM," Jurnal Optimasi Sistem Industri, vol. 23, no. 2, pp. 188-206, 2025. doi: https://doi.org/10.25077/josi.v23.n2.p188-206.2024
[17] T. Y. Rosiani, R. I. Septian, and I. Masudin, "Integrating lean six sigma, Delphi, AHP and TOPSIS for waste minimization in sustainable manufacturing: A case of concrete paving block (CPB) production," Circular Economy and Sustainability, vol. 6, no. 3, p. 217, 2026. doi: https://doi.org/10.1007/s43615-026-00947-7
[18] C. N. Wang, C. Chou, T.-T. Dang, H. Nguyen, and N.-A.-T. Nguyen, "Integrating triple bottom line in sustainable chemical supplier selection: A compromise decision-making-based spherical fuzzy approach," Processes, 2022.doi: https://doi.org/10.3390/pr10050889
[19] T. Y. Rosiani, M.-H. Li, and D. Rahmasari, "An integrated framework for ergonomic performance assessment in food manufacturing: A case study using Ergo-VSM, AHP, and TLS," Jurnal Optimasi Sistem Industri, vol. 24, no. 1, pp. 84-101, 2025. doi: https://doi.org/10.25077/josi.v24.n1.p84-101.2025
[20] R. Alyamani and S. Long, "The application of fuzzy analytic hierarchy process in sustainable project selection," Sustainability, vol. 12, no. 20, p. 8314, 2020. doi: https://doi.org/10.3390/su12208314
[21] T. Y. Rosiani, D. M. Utama, and A. Syaputri, "A hybrid BWM–sustainable VSM framework for assessing manufacturing sustainability: Evidence from Indonesia's coffee industry," Jurnal Teknik Industri, vol. 26, no. 2, pp. 201-220, 2025.doi: https://doi.org/10.22219/JTIUMM.Vol26.No2.201-220
[22] R. F. LeBouf et al., "Exposures and emissions in coffee roasting facilities and cafés: diacetyl, 2, 3-pentanedione, and other volatile organic compounds," Frontiers in public health, vol. 8, p. 561740, 2020.doi: https://doi.org/10.3389/fpubh.2020.561740
[23] K. Tsigkou et al., "Coffee processing waste: Unlocking opportunities for sustainable development," Renewable and Sustainable Energy Reviews, vol. 210, p. 115263, 2025. doi: https://doi.org/10.1016/j.rser.2024.115263
[24] A. Gupta and I. Shaikh, "Sustainable supplier selection criteria for HVAC manufacturing firms: A multi-dimensional perspective using the Delphi–fuzzy AHP method," Logistics, 2024. doi: https://doi.org/10.3390/logistics8040103
[25] R. Cerchione, M. Morelli, R. Passaro, and I. Quinto, "A critical analysis of the integration of life cycle methods and quantitative methods for sustainability assessment," Corporate Social Responsibility and Environmental Management, 2024. doi: https://doi.org/10.1002/csr.3010
[26] S. Vinodh, K. Jayakrishna, V. Kumar, and R. Dutta, "Development of decision support system for sustainability evaluation: a case study," Clean Technologies and Environmental Policy, vol. 16, no. 1, pp. 163-174, 2015. doi: https://doi.org/10.1007/s10098-013-0613-7
[27] S. Hartini, U. Ciptomulyono, M. Anityasari, and Sriyanto, "Manufacturing sustainability assessment using a lean manufacturing tool," International Journal of Lean Six Sigma, vol. 11, no. 5, pp. 943-971, 2020. doi: https://doi.org/10.1108/IJLSS-12-2017-0150
[28] L. Tapia-Cayetano, N. Barrientos-Ramos, F. Maradiegue-Tuesta, and C. Raymundo-Ibañez, "Lean manufacturing model of waste reduction using standardized work to reduce the defect rate in textile MSEs," 2020. doi: https://doi.org/10.18687/laccei2020.1.1.356
[29] H. W. Tan, K. R. Jamaludin, and H. Hamzah, "Work-in-progress inventory control case study in lean management," International Journal of Engineering & Technology, 2018. doi: https://doi.org/10.14419/ijet.v7i3.4.16770
[30] A. Mubin, D. M. Utama, and R. C. Nusantara, "Manufacturing sustainability assessment comprising physical and mental workload: An integrated modified SVSM and AHP approach," Process Integration and Optimization for Sustainability, vol. 7, no. 1, pp. 407-417, 2023. doi: https://doi.org/10.1007/s41660-022-00300-z
[31] A. L. Helleno, A. J. I. de Moraes, and A. T. Simon, "Integrating sustainability indicators and Lean Manufacturing to assess manufacturing processes: Application case studies in Brazilian industry," Journal of Cleaner Production, vol. 153, pp. 405-416, 2017. doi: https://doi.org/10.1016/j.jclepro.2016.12.072
[32] D. Domínguez-Alfaro, I. Mendoza-Muñoz, M. I. Montoya-Reyes, O. Y. Vargas-Bernal, and G. Jacobo-Galicia, "Design and implementation of integral Ergo-Value Stream Mapping in a metal-mechanical company to improve ergonomic and productive conditions: A case study," Logistics, vol. 7, no. 4. 2023. doi: https://doi.org/10.3390/logistics7040100
[33] A. Varghese, V. Panicker, and J. George, "Posture assessment of rubber tappers: A comparative analysis of OWAS, REBA, RULA, and PERA methods," La Medicina del Lavoro, vol. 116, 2025. doi: https://doi.org/10.23749/mdl.v116i3.15875
[34] V. Arumugaprabu, S. Ajith, J. Jerendran, K. Naresh, and P. S. Rama Sreekanth, "Hazard identification and risk assessment using integrated exposure frequency and legislation requirements (HIRA-FL) in construction sites," Materials Today: Proceedings, vol. 56, pp. 1247-1250, 2022. doi: https://doi.org/10.1016/j.matpr.2021.11.178
[35] D. M. Utama, T. Y. Rosiani, D. R. Wijaya, and R. W. Wardana, "Assessment of barriers and strategies for halal certification adoption in MSMEs using the fuzzy AHP-fuzzy TOPSIS method," Jurnal Teknik Industri, vol. 26, no. 2, pp. 237-258, 2025. doi: https://doi.org/10.22219/JTIUMM.Vol26.No2.239-260
[36] D.-Y. Chang, "Applications of the extent analysis method on fuzzy AHP," European Journal of Operational Research, vol. 95, no. 3, pp. 649-655, 1996. doi: https://doi.org/10.1016/0377-2217(95)00300-2
[37] K. Karuppiah, B. Sankaranarayanan, S. Ali, and G. Kabir, "Role of ergonomic factors affecting production of leather garment-based SMEs of India: Implications for social sustainability," Symmetry, vol. 12, p. 1414, 2020. doi: https://doi.org/10.3390/sym12091414
[38] F. Hussain, M. Uzair, M. A. Islam, and M. Shafiq, "Implementation of ergonomics and lean manufacturing principles to improve work environment and performance of soccer ball production line," Journal of Applied Research in Technology & Engineering, 2023. doi: https://doi.org/10.4995/jarte.2024.20075
[39] S. V. Nejat, S. A. Darestani, M. Omidvari, and M. Adibi, "Evaluation of green lean production in textile industry: a hybrid fuzzy decision-making framework," Environmental Science and Pollution Research, vol. 29, pp. 11590-11611, 2021. doi: https://doi.org/10.1007/s11356-021-16211-4
[40] O. Adiyanto, T. Budiyanto, and F. Maruf, "Assessing and improving work postures in the manufacturing industry to mitigate musculoskeletal disorders using rapid upper limb assessment (RULA)," BIS Health and Environmental Science, 2025. doi: https://doi.org/10.31603/bishes.255
[41] S. Kulaç and A. Kiraz, "An integrated ergonomic risk assessment framework based on fuzzy logic and IVSF-AHP for optimising ergonomic risks in a mixed-model assembly line," Ergonomics, vol. 67, pp. 2009-2029, 2024. doi: https://doi.org/10.1080/00140139.2024.2368270
[42] B. Rathore, A. Pundir, R. Iqbal, and R. Gupta, "Development of fuzzy based ergonomic-value stream mapping (E-VSM) tool: a case study in Indian glass artware industry," Production Planning & Control, vol. 34, pp. 1618-1638, 2022. doi: https://doi.org/10.1080/09537287.2022.2035447
[43] D. M. Utama, N. Ardiyanti, and A. A. Putri, "A new hybrid method for manufacturing sustainability performance assessment: a case study in furniture industry," Production & Manufacturing Research, vol. 10, no. 1, pp. 760-783, 2022. doi: https://doi.org/10.1080/21693277.2022.2141366
[44] I. Pratiwi and T. Adhitama, "Ergonomic risk evaluation to minimize musculoskeletal disorders in SMEs leather shoes at Indonesia," Jurnal Ilmiah Teknik Industri, 2022. doi: https://doi.org/10.23917/jiti.v21i2.19502
[45] H. Fazi, N. Mohamed, M. Rashid, and A. Rose, "Ergonomics study for workers at food production industry," vol. 90, p. 1003, 2016. doi: https://doi.org/10.1051/matecconf/20179001003
[46] R. Rathi, M. S. Kaswan, J. A. Garza-Reyes, J. Antony, and J. Cross, "Green lean six sigma for improving manufacturing sustainability: Framework development and validation," Journal of Cleaner Production, vol. 345, p. 131130, 2022. doi: https://doi.org/10.1016/j.jclepro.2022.131130
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