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How to cite this paper
APA: Tarigan, Z., Siagian, H., Palumian, Y & Sutapa, I. (2023). The influence of the human-machine interface on operational performance through supply chain agility. Uncertain Supply Chain Management, 11(4), 1783-1788.
Chicago/Turabian: Tarigan, Z., Siagian, H., Palumian, Y & Sutapa, I. 2023. "The influence of the human-machine interface on operational performance through supply chain agility." Uncertain Supply Chain Management 11, no. 4 (2023): 1783-1788.
AMA: Tarigan, Z., Siagian, H., Palumian, Y & Sutapa, I. The influence of the human-machine interface on operational performance through supply chain agility. Uncertain Supply Chain Management. 2023;11(4):1783-1788.
References
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Basana, S.R., Siagian, H., Ubud, S., & Tarigan, Z.J.H. (2022). The effect of top management commitment on improving operational performance through green purchasing and green production. Uncertain Supply Chain Management, 10(4), 1479-1492, DOI: 10.5267/j.uscm.2022.6.008
Birasnav, M., & Bienstock, J. (2019). Supply chain integration, advanced manufacturing technology, and strategic leadership: An empirical study. Computers & Industrial Engineering, 130,142-157, doi.org/10.1016/j.cie.2019.01.021
Correa-Baena, J.-P., Hippalgaonkar, K., Duren, J.V., Jaffer, S., Chandrasekhar, V.R., Stevanovic, V., Wadia, C., Guha, S., & Buonassisi, T. (2018). Accelerating materials development via automation, machine learning, and high-performance computing. Joule, 2(8), 1410-1420, doi.org/10.1016/j.joule.2018.05.009.
Chan, A.T.L., Ngai, E.W.T., & Moon, K.K.L. (2017). The effects of strategic and manufacturing flexibilities and supply chain agility on firm performance in the fashion industry. European Journal of Operational Research, 259(2), 486-499, doi.org/10.1016/j.ejor.2016.11.006
Dubey, R., & Gunasekaran, A. (2015). Agile manufacturing: framework and its empirical validation. The International Journal of Advanced Manufacturing Technology, 76(9–12), 2147–2157.
Gandhi, A.V., Shaikh, A., & Sheorey, P.A. (2017). Impact of supply chain management practices on firm performance: Empirical evidence from a developing country. International Journal of Retail & Distribution Management, 45(4), 366-384, https://doi.org/10.1108/IJRDM-06-2015-0076
Gaudreault, J., Quimper, C.-G., Marier, P., Bouchard, M., Chéné, F., & Bouchard, J. (2017). Designing a generic human-machine framework for real-time supply chain planning. Journal of Computational Design and Engineering, 4(2), 69-85, doi.org/10.1016/j.jcde.2016.12.001
Geyi, D.G., Yusuf, Y., Menhat, M.S., Abubakar, T., & Ogbuke, N.J. (2020). Agile capabilities as necessary conditions for maximizing sustainable supply chain performance: An empirical investigation. International Journal of Production Economics, 222, 107501, doi.org/10.1016/j.ijpe.2019.09.022.
de Sousa Jabbour, A. B. L., Jabbour, C. J. C., Hingley, M., Vilalta-Perdomo, E. L., Ramsden, G., & Twigg, D. (2020). Sustainability of supply chains in the wake of the coronavirus (COVID-19/SARS-CoV-2) pandemic: lessons and trends. Modern supply chain research and applications, 2(3), 117-122.
Morariu, C., Morariu, O., Râileanu, S., and Borangiu, T. (2020). Machine learning for predictive scheduling and resource allocation in large-scale manufacturing systems. Computers in Industry, 120, 103244, doi.org/10.1016/j.compind.2020.103244
Serpen, G., & Khan, R.H. (2018). Real-time Detection of Human Falls in Progress: Machine Learning Approach. Procedia Computer Science, 140, 238-247, doi.org/10.1016/j.procs.2018.10.324.
Sharp, M., Ronay A.K., & Hedberg Jr, T. (2018). A survey of the advancing use and development of machine learning in smart manufacturing. Journal of Manufacturing Systems, 48 (Part C), 170-179, doi.org/10.1016/j.jmsy.2018.02.004.
Siagian, H., Ubud, S., Basana, S.R., & Tarigan, Z.J.H. (2022). The effect of amended order on firm resilience through supply chain coordination. Uncertain Supply Chain Management, 10(3), 1009-1022, DOI: 10.5267/j.uscm.2022.2.012
Somon, B., Campagne, A., Delorme, A., & Berberian, B. (2019). Human or not human? Performance monitoring ERPs during human agent and machine supervision. Neurolmage, 186, 266-277, doi.org/10.1016/j.neuroimage.2018.11.013
Suprapto, W., Tarigan, Z. J. H., & Basana, S. R. (2017, July). The influence of ERP system to the company performance seen through innovation process, information quality, and information sharing as the intervening variables. In Proceedings of the 1st International Conference on Education and Multimedia Technology (pp. 87-91).
Tarigan, Z. J. H., Lianto, & Basana, S. R., (2019). The impact of organizational commitment on upgrading ERP for maintaining the quality of information and the ERP performance. IOP Conf. Series: Materials Science and Engineering, 473, 012051, DOI:10.1088/1757-899X/473/1/012051
Tarigan, Z.J.H., Oktavio, A., Soeprapto, W., Harjanti, D. Malelak, M.I., & Basana, S.R., (2021). Key user ERP capability maintaining ERP sustainability through effective design of business process and integration data management. International Journal of Data and Network Science, 5(3), 283-294, DOI: 10.5267/j.ijdns.2021.6.005
Tarigan, Z.J.H., & Siagian, H. (2021). The effects of strategic planning, purchasing strategy and strategic partnership on operational performance, Uncertain Supply Chain Management, 9(2), 363-372, DOI: 10.5267/j.uscm.2021.2.006
Tarigan, Z.J.H., Siagian, H., & Jie, F. (2021). Impact of Internal Integration, Supply Chain Partnership, Supply Chain Agility, and Supply Chain Resilience on Sustainable Advantage. Sustainability, 13(10):5460. https://doi.org/10.3390/su13105460
Truong, H.Q., Sameiro, M., Fernandes, A.C., Sampaio, P., Duong, B.A.T., Duong, H.H., & Vilhenac, E. (2017). Supply chain management practices and firms' operational performance. International Journal of Quality & Reliability Management, 34 (2), 176-193, https://doi.org/10.1108/IJQRM-05-2015-0072
Vanderhaegen, F., Wolff, M., Ibarboure, S., & Mollard, R. (2019). Heart-Computer Synchronization Interface to control human-machine symbiosis: a new human availability support for cooperative systems. IFAC-PapersOnLine, 52(19), 91-96, doi.org/10.1016/j.ifacol.2019.12.116
Zhang, J., Li, S., Zhang, S., & Dai, R. (2019). Manufacturer encroachment with quality decision under asymmetric demand information. European Journal of Operational Research, 273(1), 217-236, doi.org/10.1016/j.ejor.2018.08.002.
Arief, A.M. (2020). [Confide to the government, industry players: recovery in domestic demand is the key] Curhat ke pemerintah, pelaku industri: pemulihan permintaan domestik jadi kunci. Accessed on June 15, 2023, from https://ekonomi.bisnis.com/read/20200602/257/1247648/curhat-ke-pemerintah-pelaku-industri-pemulihan-permintaan-domestik-jadi-kunci
Basana, S.R., Siagian, H., Ubud, S., & Tarigan, Z.J.H. (2022). The effect of top management commitment on improving operational performance through green purchasing and green production. Uncertain Supply Chain Management, 10(4), 1479-1492, DOI: 10.5267/j.uscm.2022.6.008
Birasnav, M., & Bienstock, J. (2019). Supply chain integration, advanced manufacturing technology, and strategic leadership: An empirical study. Computers & Industrial Engineering, 130,142-157, doi.org/10.1016/j.cie.2019.01.021
Correa-Baena, J.-P., Hippalgaonkar, K., Duren, J.V., Jaffer, S., Chandrasekhar, V.R., Stevanovic, V., Wadia, C., Guha, S., & Buonassisi, T. (2018). Accelerating materials development via automation, machine learning, and high-performance computing. Joule, 2(8), 1410-1420, doi.org/10.1016/j.joule.2018.05.009.
Chan, A.T.L., Ngai, E.W.T., & Moon, K.K.L. (2017). The effects of strategic and manufacturing flexibilities and supply chain agility on firm performance in the fashion industry. European Journal of Operational Research, 259(2), 486-499, doi.org/10.1016/j.ejor.2016.11.006
Dubey, R., & Gunasekaran, A. (2015). Agile manufacturing: framework and its empirical validation. The International Journal of Advanced Manufacturing Technology, 76(9–12), 2147–2157.
Gandhi, A.V., Shaikh, A., & Sheorey, P.A. (2017). Impact of supply chain management practices on firm performance: Empirical evidence from a developing country. International Journal of Retail & Distribution Management, 45(4), 366-384, https://doi.org/10.1108/IJRDM-06-2015-0076
Gaudreault, J., Quimper, C.-G., Marier, P., Bouchard, M., Chéné, F., & Bouchard, J. (2017). Designing a generic human-machine framework for real-time supply chain planning. Journal of Computational Design and Engineering, 4(2), 69-85, doi.org/10.1016/j.jcde.2016.12.001
Geyi, D.G., Yusuf, Y., Menhat, M.S., Abubakar, T., & Ogbuke, N.J. (2020). Agile capabilities as necessary conditions for maximizing sustainable supply chain performance: An empirical investigation. International Journal of Production Economics, 222, 107501, doi.org/10.1016/j.ijpe.2019.09.022.
de Sousa Jabbour, A. B. L., Jabbour, C. J. C., Hingley, M., Vilalta-Perdomo, E. L., Ramsden, G., & Twigg, D. (2020). Sustainability of supply chains in the wake of the coronavirus (COVID-19/SARS-CoV-2) pandemic: lessons and trends. Modern supply chain research and applications, 2(3), 117-122.
Morariu, C., Morariu, O., Râileanu, S., and Borangiu, T. (2020). Machine learning for predictive scheduling and resource allocation in large-scale manufacturing systems. Computers in Industry, 120, 103244, doi.org/10.1016/j.compind.2020.103244
Serpen, G., & Khan, R.H. (2018). Real-time Detection of Human Falls in Progress: Machine Learning Approach. Procedia Computer Science, 140, 238-247, doi.org/10.1016/j.procs.2018.10.324.
Sharp, M., Ronay A.K., & Hedberg Jr, T. (2018). A survey of the advancing use and development of machine learning in smart manufacturing. Journal of Manufacturing Systems, 48 (Part C), 170-179, doi.org/10.1016/j.jmsy.2018.02.004.
Siagian, H., Ubud, S., Basana, S.R., & Tarigan, Z.J.H. (2022). The effect of amended order on firm resilience through supply chain coordination. Uncertain Supply Chain Management, 10(3), 1009-1022, DOI: 10.5267/j.uscm.2022.2.012
Somon, B., Campagne, A., Delorme, A., & Berberian, B. (2019). Human or not human? Performance monitoring ERPs during human agent and machine supervision. Neurolmage, 186, 266-277, doi.org/10.1016/j.neuroimage.2018.11.013
Suprapto, W., Tarigan, Z. J. H., & Basana, S. R. (2017, July). The influence of ERP system to the company performance seen through innovation process, information quality, and information sharing as the intervening variables. In Proceedings of the 1st International Conference on Education and Multimedia Technology (pp. 87-91).
Tarigan, Z. J. H., Lianto, & Basana, S. R., (2019). The impact of organizational commitment on upgrading ERP for maintaining the quality of information and the ERP performance. IOP Conf. Series: Materials Science and Engineering, 473, 012051, DOI:10.1088/1757-899X/473/1/012051
Tarigan, Z.J.H., Oktavio, A., Soeprapto, W., Harjanti, D. Malelak, M.I., & Basana, S.R., (2021). Key user ERP capability maintaining ERP sustainability through effective design of business process and integration data management. International Journal of Data and Network Science, 5(3), 283-294, DOI: 10.5267/j.ijdns.2021.6.005
Tarigan, Z.J.H., & Siagian, H. (2021). The effects of strategic planning, purchasing strategy and strategic partnership on operational performance, Uncertain Supply Chain Management, 9(2), 363-372, DOI: 10.5267/j.uscm.2021.2.006
Tarigan, Z.J.H., Siagian, H., & Jie, F. (2021). Impact of Internal Integration, Supply Chain Partnership, Supply Chain Agility, and Supply Chain Resilience on Sustainable Advantage. Sustainability, 13(10):5460. https://doi.org/10.3390/su13105460
Truong, H.Q., Sameiro, M., Fernandes, A.C., Sampaio, P., Duong, B.A.T., Duong, H.H., & Vilhenac, E. (2017). Supply chain management practices and firms' operational performance. International Journal of Quality & Reliability Management, 34 (2), 176-193, https://doi.org/10.1108/IJQRM-05-2015-0072
Vanderhaegen, F., Wolff, M., Ibarboure, S., & Mollard, R. (2019). Heart-Computer Synchronization Interface to control human-machine symbiosis: a new human availability support for cooperative systems. IFAC-PapersOnLine, 52(19), 91-96, doi.org/10.1016/j.ifacol.2019.12.116
Zhang, J., Li, S., Zhang, S., & Dai, R. (2019). Manufacturer encroachment with quality decision under asymmetric demand information. European Journal of Operational Research, 273(1), 217-236, doi.org/10.1016/j.ejor.2018.08.002.