O impacto das medidas de performance no fortalecimento da resiliência das cadeias de suprimentos: uma revisão
DOI:
https://doi.org/10.47456/bjpe.v10i4.46012Palavras-chave:
cadeia de suprimentos, performance, resiliência, mediçãoResumo
As medidas da cadeia de suprimentos são fundamentais para avaliar o desempenho de uma empresa. O estudo examina a interação entre as medidas de desempenho da cadeia de suprimentos e os elementos que fortalecem a resiliência. Através da análise de um portfólio de 22 artigos, foram identificados 18 elementos que contribuem para a resiliência e um conjunto de 75 medidas relacionadas à cadeia de suprimentos. O estudo estabeleceu conexões entre essas métricas e os elementos-chave da resiliência, tendo em conta também variáveis logísticas e multifuncionais. Além disso, foi possível identificar no estudo como certas medidas citadas impactam de forma direta em outras medidas relacionadas à cadeia de suprimentos. O estudo sintetiza informações relevantes sobre medidas que podem ser utilizadas para aumentar a resiliência nas cadeias de suprimentos, servindo como uma base de conteúdo de pesquisa tanto no contexto acadêmico quanto gerencial.
Downloads
Referências
Accenture (2022) Supply Chain Disruptions Could Cost European Economies Up to €920 Billion in GDP by 2023, According to Accenture Report. Recuperado de: https://newsroom.accenture.com/news/2022/supply-chain-disruptions-could-cost-european-economies-up-to-920-billion-in-gdp-by-2023-according-to-accenture-report
Ali, A. et al.(2017). Analysing supply chain resilience: integrating the constructs in a concept mapping framework via a systematic literature review. Supply Chain Management , 22 (1), 16-39. http://dx.doi.org/10.1108/SCM-06-2016-0197. DOI: https://doi.org/10.1108/SCM-06-2016-0197
Akhavan, P., & Philsoophian, M. (2023). Improving of Supply Chain Collaboration and Performance by Using Block Chain Technology as a Mediating Role and Resilience as a Moderating Variable. Journal of the Knowledge Economy, 14(4), 4561–4582. https://doi.org/10.1007/s13132-022-01085-9 DOI: https://doi.org/10.1007/s13132-022-01085-9
Balfaqih, N. et al. (2016) Review of supply chain performance measurement systems: 1998–2015, DOI: https://doi.org/10.1016/j.compind.2016.07.002
Business Strategy and the Environment, 30(7), 2858–2886. https://doi.org/10.1002/bse.2776
Beamon, B. M. (1998) Supply chain design and analysis:: Models and methods, International Journal of Production Economics, Elsevier, 55(3), 281-294 DOI: https://doi.org/10.1016/S0925-5273(98)00079-6
Cabral, I. et al. (2012). A decision-making model for Lean, Agile, Resilient and Green supply chain management. International Journal of Production Research, 50(17), 4830–4845. https://doi.org/10.1080/00207543.2012.657970 DOI: https://doi.org/10.1080/00207543.2012.657970
Cardoso, S. R. et al.(2015). Resilience metrics in the assessment of complex supply-chains performance operating under demand uncertainty. Omega (UK), 56, 53–73. https://doi.org/10.1016/j.omega.2015.03.008 DOI: https://doi.org/10.1016/j.omega.2015.03.008
Cho, J.J.K et al. (2008), "Logistics capability, logistics outsourcing and firm performance in an e‐commerce market", International Journal of Physical Distribution & Logistics Management, 38(5), 336-359. https://doi.org/10.1108/09600030810882825 DOI: https://doi.org/10.1108/09600030810882825
Chopra, S. & Meindl, P. (2016). Supply chain management: strategy, planning, and operation Tokyo: Pearson Education
Coşkun, A.E. & Erturgut, R. (2024) How Do Uncertainties Affect Supply-Chain Resilience? The Moderating Role of Information Sharing for Sustainable Supply-Chain Management. Sustainability, 16, 131. https://doi.org/10.3390/su16010131 DOI: https://doi.org/10.3390/su16010131
Elrod, C. et al. (2013). A Review of Performance Metrics for Supply Chain Management. Engineering Management Journal, 25(3), 39–50. https://doi.org/10.1080/10429247.2013.11431981 DOI: https://doi.org/10.1080/10429247.2013.11431981
Gong, D. C. et a. (2022). Framework for Developing a Knowledge Warehouse Towards a Resilient Semiconductor Assembly and Testing Firm. IEEE Access, 10, 3643–3658. https://doi.org/10.1109/ACCESS.2021.3139912 DOI: https://doi.org/10.1109/ACCESS.2021.3139912
González-Sanguino, C.(2020). Mental health consequences during the initial stage of the 2020 Coronavirus pandemic (COVID-19) in Spain. Brain Behav Immun. Jul (87) 172-176. https://doi.org/10.3389/fpsyt.2020.565474 DOI: https://doi.org/10.1016/j.bbi.2020.05.040
Gu, M. et al (2023) The effect of high-involvement human resource management practices on supply chain resilience and operational performance, Journal of Management Science and Engineering, 8 (2),176-190 https://doi.org/10.1016/j.jmse.2022.12.001 DOI: https://doi.org/10.1016/j.jmse.2022.12.001
Hägele, S. et al. (2022). Supply chain resilience: A tertiary study. International Journal of Integrated Supply Management, 16(1), 52. https://doi.org/10.1504/IJISM.2023.127660 DOI: https://doi.org/10.1504/IJISM.2023.127660
Hohenstein, N. O. et al. (2015) Research on the phenomenon of supply chain resilience: A systematic review and paths for further investigation. International Journal of Physical Distribution and Logistics Management, 45, 90–117. https://doi.org/10.1108/IJPDLM-05-2013-0128 DOI: https://doi.org/10.1108/IJPDLM-05-2013-0128
model: integrating agility, resilience and sustainability perspectives—lessons from and thinking beyond the COVID-19 pandemic. Ann Oper Res 319, 1411–1431 https://doi.org/10.1007/s10479-020-03640-6 DOI: https://doi.org/10.1007/s10479-020-03640-6
Karl, A. et al. (2018). Supply chain resilience and key performance indicators: A systematic literature review. Production. 28.
https://doi.org/10.1590/0103-6513.20180020. DOI: https://doi.org/10.1590/0103-6513.20180020
Kazemian, I. et al. (2022). A multi-attribute supply chain network resilience assessment framework based on SNA-inspired indicators. Operational Research, 22(3), 1853–1883. https://doi.org/10.1007/s12351-021-00644-3 DOI: https://doi.org/10.1007/s12351-021-00644-3
Kuo, H. A. et al.(2023). A semantic web-based risk assessment framework for collaborative planning to enhance overall supply chain effectiveness for semiconductor industry. Applied Soft Computing, 149. https://doi.org/10.1016/j.asoc.2023.110976 DOI: https://doi.org/10.1016/j.asoc.2023.110976
Le, T. T. (2023). How do food supply chain performance measures contribute to sustainable corporate performance during disruptions from the COVID-19 pandemic emergency? International Journal of Quality and Reliability Management, 40(5), 1233–1258.
https://doi.org/10.1108/IJQRM-03-2022-0089 DOI: https://doi.org/10.1108/IJQRM-03-2022-0089
Maharjan, R. & Kato, H. (2024). Can logistics and supply chain resilience strategies minimize the impacts of disruptions: evidence from Japan. International Journal of Logistics Management. https://doi.org/10.1108/IJLM-12-2022-0487 DOI: https://doi.org/10.1108/IJLM-12-2022-0487
Mandal, S. (2014). Supply chain resilience: a state-of-the-art review and research directions, International Journal of Disaster Resilience in the Built Environment, 5(4), 427-453. https://doi.org/10.1108/IJDRBE-03-2013-0003 DOI: https://doi.org/10.1108/IJDRBE-03-2013-0003
Martins, V.M. et al. (2021). Resilience in the supply chain management: understanding critical aspects and how digital technologies can contribute to Brazilian companies in the COVID-19 context. Modern Supply Chain Research and Applications. https://doi.org/10.1108/MSCRA-05-2021-0005 DOI: https://doi.org/10.1108/MSCRA-05-2021-0005
Mohammad, W. et al., (2022). The Global Semiconductor Chip Shortage: Causes, Implications, and Potential Remedies. IFAC-PapersOnLine. 55. 476-483. https://doi.org/10.1016/j.ifacol.2022.09.439 DOI: https://doi.org/10.1016/j.ifacol.2022.09.439
Mostafa, N. A., et al. (2024). Impacts of COVID-19 and the Russian–Ukrainian Conflict on Food Supply Chain: A Case Study from Bread Supply Chain in Egypt. Sustainability (Switzerland), 16(3). https://doi.org/10.3390/su16030994 DOI: https://doi.org/10.3390/su16030994
Munir, M. et al. (2024). Building resilient supply chains: Empirical evidence on the contributions of ambidexterity, risk management, and analytics capability.
https://doi.org/10.1016/j.techfore.2023.123146. DOI: https://doi.org/10.1016/j.techfore.2023.123146
Negri, M. et al. (2021). Integrating sustainability and resilience in the supply chain: A systematic literature review and a research agenda. Business Strategy and the Environment,. 30(7), 2858-2886
https://doi.org/10.1002/bse.2776 DOI: https://doi.org/10.1002/bse.2776
Patidar, A. et al. (2023). Supply chain resilience and its key performance indicators: an evaluation under Industry 4.0 and sustainability perspective. Management of Environmental Quality: An International Journal, 34(4), 962–980. https://doi.org/10.1108/MEQ-03-2022-0091 DOI: https://doi.org/10.1108/MEQ-03-2022-0091
Ponomarov, S.Y. & Holcomb, M.C. (2009), Understanding the concept of supply chain resilience, The International Journal of Logistics Management, Vol. 20 No. 1, 124-143. https://doi.org/10.1108/09574090910954873 DOI: https://doi.org/10.1108/09574090910954873
Qi, Y. et al. (2023). Developing supply chain resilience through integration: An empirical study on an e-commerce platform. Journal of Operations Management, 69(3), 477–496. https://doi.org/10.1002/joom.1226 DOI: https://doi.org/10.1002/joom.1226
Queiroz, M.M. et al. (2022) Impacts of epidemic outbreaks on supply chains: mapping a research agenda amid the COVID-19 pandemic through a structured literature review. Ann Oper Res 319, 1159–1196 (2022).
https://doi.org/10.1007/s10479-020-03685-7 DOI: https://doi.org/10.1007/s10479-020-03685-7
Rahman, T. et al. (2022). Key performance indicators for a sustainable recovery strategy in health-care supply chains: COVID-19 pandemic perspective. Journal of Asia Business Studies, 16(3), 472–494. https://doi.org/10.1108/JABS-05-2021-0200 DOI: https://doi.org/10.1108/JABS-05-2021-0200
Ram, M. et al. (2022), Guest editorial: recent. communications in system reliability, quality and supply chain management, International Journal of Quality and Reliability Management, Vol. 39 No. 3, pp. 673-674.
https://doi.org/10.1108/IJQRM-03-2022-414 DOI: https://doi.org/10.1108/IJQRM-03-2022-414
Ravet, D (2012). An exploration of facility location metrics in international supply chain. Trends in International Business 2012, 19. https://hal.science/hal-00747397
Ribeiro, J. P., & Barbosa-Póvoa, A. P. F. D. (2023). A responsiveness metric for the design and planning of resilient supply chains. Annals of Operations Research, 324(1–2), 1129–1181. https://doi.org/10.1007/s10479-022-04521-w DOI: https://doi.org/10.1007/s10479-022-04521-w
SAWYERR, E. & HARRISON, C. (2020) Developing resilient supply chains: lessons from high-reliability organizations. Supply Chain Management, 25 (1), 77- https://doi.org/10.1108/SCM-09-2018-0329 DOI: https://doi.org/10.1108/SCM-09-2018-0329
Sangwa, N. R. et al. (2023). Lean performance measurement system for an Indian automotive supply chain. International Journal of Quality and Reliability Management, 40(5), 1292–1315.
https://doi.org/10.1108/IJQRM-03-2022-0113 DOI: https://doi.org/10.1108/IJQRM-03-2022-0113
Shi, X. et al.(2023). Supply chain resilience: new challenges and opportunities. International Journal of Logistics Research and Applications. https://doi.org/10.1080/13675567.2023.2262396 DOI: https://doi.org/10.1080/13675567.2023.2262396
Shishodia, A. et al. (2023). Supply chain resilience: A review, conceptual framework and future research. International Journal of Logistics Management, 34(4), 879–908.
https://doi.org/10.1108/IJLM-03-2021-0169 DOI: https://doi.org/10.1108/IJLM-03-2021-0169
Singh, C. S. et al. (2019). Performance indicators for supply chain resilience: review and conceptual framework. Journal of Industrial Engineering International, 15, 105–117. https://doi.org/10.1007/s40092-019-00322-2 SEURING, S. (2008). Assessing the Rigor of Case Study Research in Supply Chain Management. Supply Chain Management: An International Journal. 13. 128-137. https://doi.org/10.1108/13598540810860967 DOI: https://doi.org/10.1108/13598540810860967
Sun, K. X. et al. (2023). Enhancing supply chain resilience in SMEs: a deep Learning-based approach to managing Covid-19 disruption risks. Journal of Enterprise Information Management, 36(6), 1508–1532. https://doi.org/10.1108/JEIM-06-2023-0298 DOI: https://doi.org/10.1108/JEIM-06-2023-0298
Torres-Vergara, J. I. et al. (2023). Resilient and sustainable supply chain criteria for performance evaluation: selection and ranking through fuzzy Delphi. Benchmarking.
https://doi.org/10.1108/BIJ-05-2022-0283 DOI: https://doi.org/10.1108/BIJ-05-2022-0283
Tundys, B. & Yudi , F. (2019). Sustainable Supply Chain Management - Key Performance Indicators (KPI) as an Element for Measuring of Processes. Transport Economics and Logistics, 83, 31–50. https://doi.org/10.26881/etil.2019.83.03 DOI: https://doi.org/10.26881/etil.2019.83.03
Werner, M. J. E. et al (2021). Exploring Organizational Resilience Through Key Performance Indicators. Journal of Industrial and Production Engineering, 38(1), 51–65. https://doi.org/10.1080/21681015.2020.1839582 DOI: https://doi.org/10.1080/21681015.2020.1839582
Zamiela, C. et al. (2022). Enablers of resilience in the healthcare supply chain: A case study of U.S healthcare industry during COVID-19 pandemic. Research in Transportation Economics, 93. https://doi.org/10.1016/j.retrec.2021.101174 DOI: https://doi.org/10.1016/j.retrec.2021.101174
Zhu, J. & Liu,W. (2020) A tale of two databases: the use of Web of Science and Scopus in academic papers. Scientometrics, 123(1), 321-335.
DOI: 10.1007/s11192-020-03387-8 DOI: https://doi.org/10.1007/s11192-020-03387-8

Downloads
Publicado
Como Citar
Edição
Seção
Licença
Copyright (c) 2024 Suzana Matsuyama, Gisele de Lorena Diniz Chaves (Autor)

Este trabalho está licenciado sob uma licença Creative Commons Attribution 4.0 International License.

Atribuição 4.0 internacional CC BY 4.0 Deed
Esta licença permite que outros remixem, adaptem e desenvolvam seu trabalho não comercialmente, contanto que eles creditem a você e licenciem suas novas criações sob os mesmos termos.