Operational Supply Chain Risk Management on Apparel Industry Based on Supply Chain Operation Reference (SCOR)
Article Sidebar
Main Article Content
Abstract
The occurrence of uncertainty requires proper handling to avoid the adverse effects called risk. Risk tends to arise in the supply chain process called supply chain risk. The purpose of this research is to identify the possible level of risk that occurs and has the potential to disrupt supply chain activities, determine priority risk sources based on Supply Chain Operation References (SCOR). The object of this research is the apparel industry, which is a company engaged in fashion and apparel production. This study uses a qualitative and quantitative approach, the value of the instrument is assessed based on the results of the Aggregate Risk Potential (ARP) calculation in the House of Risk method phase 1. The results showed that there were 39 correlations between risk events and risk agents, with 22 correlations with a high scale and 1 correlation with a low scale, and 15 correlations on a medium scale.
Article Details
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
References
M. Abdel-Basset, M. Gunasekaran, M. Mohamed, and N. Chilamkurti, “A framework for risk assessment, management and evaluation: Economic tool for quantifying risks in supply chain,” Futur. Gener. Comput. Syst., vol. 90, no. 1, pp. 489–502, 2019.
S. A. Giorgetto, “Risk and crisis management. An overview,” Econ. Aziend. Online-, vol. 12, no. 1, pp. 1–12, 2021.
H.-O. Pörtner et al., “Climate change 2022: Impacts, adaptation and vulnerability,” IPCC Sixth Assess. Rep., 2022.
S. Prakash, G. Soni, and A. P. S. Rathore, “A critical analysis of supply chain risk management content: a structured literature review,” J. Adv. Manag. Res., 2017.
A. Azadegan, M. Mellat Parast, L. Lucianetti, R. Nishant, and J. Blackhurst, “Supply chain disruptions and business continuity: An empirical assessment,” Decis. Sci., vol. 51, no. 1, pp. 38–73, 2020.
S. DuHadway, S. Carnovale, and B. Hazen, “Understanding risk management for intentional supply chain disruptions: Risk detection, risk mitigation, and risk recovery,” Ann. Oper. Res., vol. 283, no. 1, pp. 179–198, 2019.
A. S. Aydiner, E. Tatoglu, E. Bayraktar, S. Zaim, and D. Delen, “Business analytics and firm performance: The mediating role of business process performance,” J. Bus. Res., vol. 96, pp. 228–237, 2019.
W. Viriyasitavat and D. Hoonsopon, “Blockchain characteristics and consensus in modern business processes,” J. Ind. Inf. Integr., vol. 13, pp. 32–39, 2019.
M. Xu et al., “Supply chain sustainability risk and assessment,” J. Clean. Prod., vol. 225, pp. 857–867, 2019.
T. Rasheed, “Supply Chain Sustainability Through Green Practices in Manufacturing: A Case Study from Pakistan: Supply Chain Sustainability,” South Asian J. Oper. Logist., vol. 1, no. 1, pp. 57–71, 2022.
V. H. Remko, “Research opportunities for a more resilient post-COVID-19 supply chain–closing the gap between research findings and industry practice,” Int. J. Oper. Prod. Manag., vol. 40, no. 4, pp. 341–355, 2020.
D. Ivanov, Structural dynamics and resilience in supply chain risk management, vol. 265. Springer, 2018.
R. Sharma, A. Shishodia, S. Kamble, A. Gunasekaran, and A. Belhadi, “Agriculture supply chain risks and COVID-19: mitigation strategies and implications for the practitioners,” Int. J. Logist. Res. Appl., pp. 1–27, 2020.
H. Taherdoost and A. Brard, “Analyzing the process of supplier selection criteria and methods,” Procedia Manuf., vol. 32, pp. 1024–1034, 2019.
T. J. Pettit, K. L. Croxton, and J. Fiksel, “The evolution of resilience in supply chain management: a retrospective on ensuring supply chain resilience,” J. Bus. Logist., vol. 40, no. 1, pp. 56–65, 2019.
E. Manavalan and K. Jayakrishna, “A review of Internet of Things (IoT) embedded sustainable supply chain for industry 4.0 requirements,” Comput. Ind. Eng., vol. 127, pp. 925–953, 2019.
A. F. Trillo-Cabello, J. A. Carrillo-Castrillo, and J. C. Rubio-Romero, “Perception of risk in construction. Exploring the factors that influence experts in occupational health and safety,” Saf. Sci., vol. 133, p. 104990, 2021.
S. K. Ariffin, T. Mohan, and Y.-N. Goh, “Influence of consumers’ perceived risk on consumers’ online purchase intention,” J. Res. Interact. Mark., 2018.
W. Leal Filho et al., “Sustainable Development Goals and sustainability teaching at universities: Falling behind or getting ahead of the pack?,” J. Clean. Prod., vol. 232, pp. 285–294, 2019.
H. Zhu and F. Deng, “How to influence rural tourism intention by risk knowledge during COVID-19 containment in China: Mediating role of risk perception and attitude,” Int. J. Environ. Res. Public Health, vol. 17, no. 10, p. 3514, 2020.
J. R. Ríos, D. F. M. Duque, and J. C. O. Gómez, “Operational supply chain risk identification and prioritization using the SCOR model,” Ing. y Univ., vol. 23, no. 1, pp. 1–12, 2019.
G. Baryannis, S. Validi, S. Dani, and G. Antoniou, “Supply chain risk management and artificial intelligence: state of the art and future research directions,” Int. J. Prod. Res., vol. 57, no. 7, pp. 2179–2202, 2019.
T. Rebs, M. Brandenburg, and S. Seuring, “System dynamics modeling for sustainable supply chain management: A literature review and systems thinking approach,” J. Clean. Prod., vol. 208, pp. 1265–1280, 2019.
U. D. Widianti, T. Harihayati, and S. Sufaatin, “Risk project management analysis,” in IOP Conference Series: Materials Science and Engineering, 2018, vol. 407, no. 1, p. 12087.
W. Liu et al., “Integrated participatory and collaborative risk mapping for enhancing disaster resilience,” ISPRS Int. J. Geo-Information, vol. 7, no. 2, p. 68, 2018.
J. El Baz and S. Ruel, “Can supply chain risk management practices mitigate the disruption impacts on supply chains’ resilience and robustness? Evidence from an empirical survey in a COVID-19 outbreak era,” Int. J. Prod. Econ., vol. 233, p. 107972, 2021.
A. Calatayud, J. Mangan, and M. Christopher, “The self-thinking supply chain,” Supply Chain Manag. An Int. J., 2018.
I. Setyowinarno, J. D. Asmoro, and Y. Amrozi, “Analisis Perancangan Si-stok Untuk Mengurangi Bullwhip Effect Dalam Industri Garmen,” Method. J. Tek. Inform. dan Sist. Inf., vol. 6, no. 2, pp. 24–28, 2020.
F. Jia, S. Yin, L. Chen, and X. Chen, “The circular economy in the textile and apparel industry: A systematic literature review,” J. Clean. Prod., vol. 259, p. 120728, 2020.
A. Clarke-Sather and K. Cobb, “Onshoring fashion: Worker sustainability impacts of global and local apparel production,” J. Clean. Prod., vol. 208, pp. 1206–1218, 2019.
É. Lèbre et al., “The social and environmental complexities of extracting energy transition metals,” Nat. Commun., vol. 11, no. 1, pp. 1–8, 2020.
F. Lestari, A. Mas’ari, S. Meilani, I. N. Riandika, and A. B. A. Hamid, “Risk Mitigation Via Integrating House of Risk and Probability Impact Matrix in Halal Food Supply Chain,” J. Tek. Ind., vol. 22, no. 2, pp. 138–154, 2021.
D. Apriyani, R. Nurmalina, and B. Burhanuddin, “Evaluasi Kinerja Rantai Pasok Sayuran Organik dengan Pendekatan Supply Chain Operation Reference (SCOR),” Mix J. Ilm. Manaj., vol. 8, no. 2, pp. 312–335, 2018.
D. Sinaga, S. Madelan, and A. B. Saluy, “Analysis Supply Chain Management Performance Using SCOR Method in Compressor Distributor Company at PT. Pola Petro Development,” Int. J. Innov. Sci. Res. Technol., vol. 6, no. 2, pp. 91–102, 2021.
S. Xu, X. Zhang, L. Feng, and W. Yang, “Disruption risks in supply chain management: a literature review based on bibliometric analysis,” Int. J. Prod. Res., vol. 58, no. 11, pp. 3508–3526, 2020.
U. R. de Oliveira, L. S. Espindola, I. R. da Silva, I. N. da Silva, and H. M. Rocha, “A systematic literature review on green supply chain management: Research implications and future perspectives,” J. Clean. Prod., vol. 187, pp. 537–561, 2018.
G. Zhao et al., “Blockchain technology in agri-food value chain management: A synthesis of applications, challenges and future research directions,” Comput. Ind., vol. 109, pp. 83–99, 2019.
L. Li, P. Uyttenhove, and V. Van Eetvelde, “Planning green infrastructure to mitigate urban surface water flooding risk–A methodology to identify priority areas applied in the city of Ghent,” Landsc. Urban Plan., vol. 194, p. 103703, 2020.
K. Yildiz and M. T. Ahi, “Innovative decision support model for construction supply chain performance management,” Prod. Plan. Control, vol. 33, no. 9–10, pp. 894–906, 2022.
P. Dutta, T.-M. Choi, S. Somani, and R. Butala, “Blockchain technology in supply chain operations: Applications, challenges and research opportunities,” Transp. Res. part e Logist. Transp. Rev., vol. 142, p. 102067, 2020.
S. Tomasiello, M. Uzair, and E. Loit, “ANFIS with fractional regularization for supply chains cost and return evaluation.,” 2021.
M. Chilwesa, A. Akbarnezhad, M. Gharehchaei, A. Castel, R. Lloyd, and S. Foster, “Using the Double Ring Test to Assess the Effect of Type of Aggregate Used on Thermal Cracking Potential,” in ACMSM25: Proceedings of the 25th Australasian Conference on Mechanics of Structures and Materials, 2019, vol. 37, p. 337.
L. Y. Lee et al., “Practice and technique of using face mask amongst adults in the community: a cross-sectional descriptive study,” BMC Public Health, vol. 20, no. 1, pp. 1–11, 2020.
D. Ivanov and A. Dolgui, “OR-methods for coping with the ripple effect in supply chains during COVID-19 pandemic: Managerial insights and research implications,” Int. J. Prod. Econ., vol. 232, p. 107921, 2021.
S. Ratnasari, M. Hisjam, and W. Sutopo, “Supply chain risk management in newspaper company: House of risk approach,” in AIP Conference Proceedings, 2018, vol. 1931, no. 1, p. 30016.
S. R. Nugraheni, R. Yuniarti, and R. A. Sari, “The Analysis of Supply Chain Risk on Ready to Drink (RTD) Product using House of Risk Method,” J. Eng. Manag. Ind. Syst., vol. 5, no. 1, pp. 46–57, 2017.
M. Li, H. Wang, D. Wang, Z. Shao, and S. He, “Risk assessment of gas explosion in coal mines based on fuzzy AHP and bayesian network,” Process Saf. Environ. Prot., vol. 135, pp. 207–218, 2020.
Y. Zeng and D. C. J. Yeo, “Assessing the aggregated risk of invasive crayfish and climate change to freshwater crabs: A Southeast Asian case study,” Biol. Conserv., vol. 223, pp. 58–67, 2018.
B. Deng, “Counterparty risk, central counterparty clearing and aggregate risk,” Ann. Financ., vol. 13, no. 4, pp. 355–400, 2017.
D. B. Paillin and J. M. Tupan, “The supply chain risk assessment for tuna during the Covid-19 pandemic in Ambon by using the House of Risk Method,” in IOP Conference Series: Earth and Environmental Science, 2021, vol. 797, no. 1, p. 12024.