Abstract
This work aims to present the elements related to production and logistics that companies have used in the last four years and that can lead managers to a correct decision in times of uncertainty based on the literature review. During the pandemic caused by COVID-19, industrial companies in the automotive sector had to adapt to the sharp drop in demand, varying negatively by up to 40% from March to November 2020. As of December 2020, demand increased again, recovering the fall from the pandemic’s beginning. Thus, a supply chain did not have enough time to recover and meet that speed. Even with international air freight, there is still a halt in automaker’s production lines in the automotive sector. Illustrating that context, we studied a case in a company that operates in Brazil, which produces automotive components for a manufacturer of heavy cargo and passenger vehicles. The company was impacted by the COVID-19 pandemic due to its low level, heightened by its suppliers’ delays. The results indicated the need for the company to be prepared for the increase in costs and the search for strategies that minimize the negative impacts still caused by the pandemic context.
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References
Simangunsong, E., et al.: Supply-chain uncertainty: a review and theoretical foundation for future research. Int. J. Prod. Res. 50(16), 4493–4523 (2012)
Gyulai, D., et al.: Robust production planning and control for multi-stage systems with flexible final assembly lines. Int. J. Prod. Res. 55(13), 3657–3673 (2017)
Fung, Y.N., et al.: Sustainable product development processes in fashion: supply chains structures and classifications. Int. J. Prod. Econ. 231, 1–15 (2021)
Ho, W., et al.: Supply chain risk management: a literature review. Int. J. Prod. Res. 53(16), 5031–5069 (2015)
Xu, S., et al.: Disruption risks in supply chain management: a literature review based on bibliometric analysis. Int. J. Prod. Res. 58(11), 3508–3526 (2020)
Yin, R.K.: Estudo de caso: planejamento e métodos, 5th edn. Bookman, Porto Alegre (2015)
Chan, C.K., et al.: An integrated production-inventory model for deteriorating items with consideration of optimal production rate and deterioration during delivery. Int. J. Prod. Econ. 189, 1–13 (2017)
Fathi, M., et al.: An optimization model for material supply scheduling at mixed-model assembly lines. Procedia CIRP. 72, 1258–1263 (2018)
Taleizadeh, A.A., Sadegh, M.M.: A consignment stock scheme for closed loop supply chain with imperfect manufacturing processes, lost sales, and quality dependent return: multi levels structure. Int. J. Prod. Econ. 217, 298–316 (2019)
Sihag, N., et al.: The influence of manufacturing plant site selection on environmental impact of machining processes. Procedia CIRP. 80, 186–191 (2019)
Khalilabadi, G., et al.: A multi-stage stochastic programming approach for supply chain risk mitigation via product substitution. Comput. Ind. Eng. 149, 106786 (2020)
Gupta, N., et al.: Additive manufacturing cyber-physical system: supply chain cybersecurity and risk. IEEE Access. 8, 47322–47333 (2020)
Franco, D., et al.: Consolidated and inconclusive effects of additive manufacturing adoption: a systematic literature review. Comput. Ind. Eng. 148, 1–29 (2020)
Akbarian-Saravi, N., et al.: Development of a comprehensive decision support tool for strategic and tactical planning of a sustainable bioethanol supply chain: real case study, discussions and policy implications. J. Clean. Prod. 244, 1–19 (2020)
Kim, T.Y.: Improving warehouse responsiveness by job priority management: a European Distribution Centre field study. Comput. Ind. Eng. 139, 1–12 (2020)
Frontoni, E., et al.: Optimal stock control and procurement by reusing of obsolescences in manufacturing. Comput. Ind. Eng. 148, 1–12 (2020)
Liu, Z., et al.: Supply chain coordination with risk-averse retailer and option contract: supplier-led vs. retailer-led. Int. J. Prod. Econ. 223, 107518 (2020)
Pereira, D., et al.: Tactical sales and operations planning: a holistic framework and a literature review of decision-making models. Int. J. Prod. Econ. 228, 1–28 (2020)
Bhattacharya, K., De Sujit, K.: A robust two layer green supply chain modelling under performance based fuzzy game theoretic approach. Comput. Ind. Eng. 152, 107005 (2021)
Song, Z., et al.: Inventory strategy of the risk averse supplier and overconfident manufacturer with uncertain demand. Int. J. Prod. Econ. 234, 1–16 (2021)
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Sanches, A.M., de Souza, L.J., da Silva, S.L., de Lima, E.P., Gouvea da Costa, S.E. (2022). Consequences on Supply Chain Performance in Times of Scarcity During a COVID-19 Pandemic: A Case Study in an Automotive Industry. In: López Sánchez, V.M., Mendonça Freires, F.G., Gonçalves dos Reis, J.C., Costa Martins das Dores, J.M. (eds) Industrial Engineering and Operations Management. IJCIEOM 2022. Springer Proceedings in Mathematics & Statistics, vol 400. Springer, Cham. https://doi.org/10.1007/978-3-031-14763-0_24
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