Abstract
The study of supply chains and the manufacture of finished goods is one of the main topics related to the impacts of globalization. In the context of Latin American and Caribbean regions, it is essential to understand the supply chain impacts on sustainability and its resilience to exceptional events. The COVID-19 pandemic culminated in supply crises worldwide, including medicines and hospital supplies. This problem embodies the need to identify and implement alternatives that allow for cost reduction and efficiency while maintaining a solid and sustainable supply chain of this supply. This chapter elucidates the factors that influence the sustainability and resilience of supply chains by modeling the chain as a graph or network. The model allows the network visualization and the generation and analysis of complex network metrics. Graph characterization uses these metrics and provides attributes for resilience and sustainability analysis. Considering the health crisis generated by the COVID-19 pandemics, the case study was selected based on the production chain of one of the leading manufacturers and distributors of essential medicines of the Brazilian Unified Health System (SUS) Fiocruz/Farmanguinhos laboratory. After presenting the proposed methodology to approach the problem and practical application in the case study, the benefits of modeling via graphs and complex systems are discussed, ranging from greater visibility of chain flows, better comparison between different configurations of supply chains, in addition to greater autonomy for decision-making by industrial managers.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
(2022) Gephi – The Open Graph Viz Platform. In: Gephi.org. https://gephi.org/. Accessed 24 Jan 2022
(2022) Google Colaboratory. In: Colab.research.google.com. https://colab.research.google.com/?utm_source=scs-index. Accessed 24 Jan 2022
(2022) https://hbrbr.com.br/o-coronavirus-e-um-alerta-para-a-gestao-da-cadeia-de-suprimentos/. Accessed 7 Feb 2022
(2022) https://www.pwc.com.br/pt/estudos/servicos/consultoria-negocios/2020/covid-19/covid-19-supply-chain.html. Accessed 1 Feb 2022
(2022) NetworkX — NetworkX documentation. In: Networkx.org. https://networkx.org/. Accessed 9 Feb 2022
(2022) Portal de Compras do Governo Federal. https://www.gov.br/compras/pt-br. Accessed 3 Jan 2022
(2022) Vista do Fluxo de informação na cadeia de abastecimento do foodservice durante o período da pandemia COVID-19 | Sistemas & Gestão. In: Revista sg.uff.br. https://www.revistasg.uff.br/sg/article/view/1719/1463#:~:text=Os%20dados%20coletados%20foram%20tabulados,pandemia%20e%20durante%20a%20quarentena. Accessed 22 Feb 2022
Aguila J, ElMaraghy W (2019) Supply chain resilience and structure: an evaluation framework. Proc Manuf 28:43–50. https://doi.org/10.1016/j.promfg.2018.12.008
Araujo R, Souza A, Braga J (2020) Who was affected by the sortage of penicillin for syphilis in Rio de Janeiro, 2013–2017? Revista de Saude Publica. https://doi.org/10.11606/s1518-8787.2020054002196
Barabási A, Albert R (1999) Emergence of scaling in random networks. Science 286:509–512. https://doi.org/10.1126/science.286.5439.509
Barbosa C, Azevedo A (2019) Assessing the impact of performance determinants in complex MTO/ETO supply chains through an extended hybrid modelling approach. Int J Prod Res 57:3577–3597
Biernath A (2021) Vacina contra Covid: O que está por trás da corrida de governadores e prefeitos para antecipar a vacinação. BBC News Brasil
Bifulco F, Tregua M, Amitrano C, D’Auria A (2016) ICT and sustainability in smart cities management. Int J Public Sect Manag 29:132–147. https://doi.org/10.1108/ijpsm-07-2015-0132
Boccaletti S, Latora V, Moreno Y et al (2006) Complex networks: structure and dynamics. Phys Rep 424:175–308. https://doi.org/10.1016/j.physrep.2005.10.009
Budiman S, Rau H (2019) A mixed-integer model for the implementation of postponement strategies in the globalized green supply chain network. Comput Ind Eng 137:106054. https://doi.org/10.1016/j.cie.2019.106054
Chaves L (2020) Desabastecimento de medicamentos no Brasil e no mundo: uma reflexão sobre suas causas e estratégias de enfrentamento para a garantia do acesso a medicamentos. PHD, Escola Nacional de Sáude Pública, Fiocruz
Chaves L, Souza P (2021) Desabastecimento de medicamentos no Brasil. Boletim Observium 1:5
Chen X, Xi Z, Jing P (2017) A unified framework for evaluating supply chain reliability and resilience. IEEE Trans Reliab 66:1144–1156. https://doi.org/10.1109/tr.2017.2737822
Christopher M, Ryals L (1999) Supply chain strategy: its impact on shareholder value. Int J Logist Manag 10:1–10. https://doi.org/10.1108/09574099910805897
Chopra S, Meindl P (2002) Gerenciamento da cadeia de suprimentos. Prentice Hall
Chowdhury P, Paul K, Kaisar S, Moktadir M (2021) Covid-19 pandemic related supply chain studies: a systematic review. Transp Res E Logist Transp Rev 148:102271. https://doi.org/10.1016/j.tre.2021.102271
Cohen MA, Mallik S (1997) Global supply chains: research and applications. Prod Oper Manag 6:199–199. https://doi.org/10.1111/j.1937-5956.1997.tb00006.x
Costa D (2020) Teoria de redes complexas como abordagem para análise da cobertura de serviços de saúde. PhD, Universidade de Brasilia
Dahis R (2022) Redes Complexas – Rafael Dahis. In: Gta.ufrj.br. https://www.gta.ufrj.br/ensino/eel879/trabalhos_vf_2009_2/dahis/. Accessed 24 Feb 2022
Dente S, Hashimoto S (2020) Covid-19: a pandemic positive and negative outcomes on resources and wate flows and stocks. Resour Conserv Recly 161:104979. https://doi.org/10.1016/j.resconrec.2020.104979
Edwards C, Muhle E, Wolma K et al. (2018) Identification of tipping points in supply chain dynamics using effective dimension and resilience index. In: 2018 Annual IEEE International Systems Conference (SysCon). https://doi.org/10.1109/syscon.2018.8369556
Ferreira M, Macau E (2012) Construindo Modelos de Redes Complexas. In: Mtc-m16c.sid.inpe.br. http://mtc-m16c.sid.inpe.br/col/sid.inpe.br/mtc-m18/2013/04.17.13.54/doc/@indice.htm#f. Accessed 10 Jan 2022
Flood R, Carson E (1993) Dealing with complexity: an introduction to the theory and application of system science. Plenum Press
Fonseca L, Azevedo A (2020) Covid-19: outcomes for global supply chains, management & marketing. Chall Knowl Soc 15:424–438. https://doi.org/10.2478/mmcks-2020-0025
Furlan BR (2019) A influência da centralidade de rede no processo de difusão de inovações. Tese de Doutorado. Universidade de São Paulo
García-Arca J, Garrido A, Prado-Prado J (2017) “Sustainable packaging logistics”. The link between sustainability and competitiveness in supply chains. Sustainability 9:1098. https://doi.org/10.3390/su9071098
Holland JH (2014) Complexity: A Very Short Introduction. [s.i.]: Oxford University Press. Disponível em: https://www.veryshortintroductions.com/view/10.1093/actrade/9780199662548.001.0001/actrade-9780199662548
Ivanov D, Dolgui A (2019) New disruption risk management perspectives in supply chains: Digital twins, the ripple effect, and resileanness. IFAC-PapersOnLine 52(13):337–342
Jabbarzadeh A, Haughton M, Pourmehdi F (2019) A robust optimization model for efficient and green supply chain planning with postponement strategy. Int J Prod Econ 214:266–283. https://doi.org/10.1016/j.ijpe.2018.06.013
Johnson A, Papi-Thornton D, Stauch J (2019) In: Mtroyal.ca. https://www.mtroyal.ca/nonprofit/InstituteforCommunityProsperity/_pdfs/ssdata_icp_mts_2020.pdf. Accessed 10 Feb 2022
Juan A, Kelton W, Currie C, Faulin J (2018) Simheuristics applications: dealing with uncertainty in logistics, transportation, and other supply chain areas. In: 2018 Winter Simulation Conference (WSC), pp 3048–3059. https://doi.org/10.1109/WSC.2018.8632464
Latapy M, Magnien C (2008) Complex network measurements: estimating the relevance of observed properties. In: IEEE INFOCOM 2008 – the 27th conference on computer communications. https://doi.org/10.1109/infocom.2008.227
Lathi B (2007) Sinais e sistemas lineares (2a. ed). Grupo A – Bookman
Li Y, Zobel C, Seref O, Chatfield D (2020) Network characteristics and supply chain resilience under conditions of risk propagation. Int J Prod Econ 223:107529. https://doi.org/10.1016/j.ijpe.2019.107529
Metz J (2007) Redes complexas: conceitos e aplicações. ICMC – São Carlos 1:1–2
Mikhail M, El-Beheiry M, Afia N (2019) Incorporating resilience determinants in supply chain network design model. J Model Manag 14:738–753. https://doi.org/10.1108/jm2-05-2018-0057
Paul SK, Chowdhury P (2020) Strategies for managing the impacts of disruptions during COVID-19: an example of toilet paper. Glob J Flex Syst Manag 21(3):283–293
Ponnambalam L, Long D, Sarawgi D et al (2014) Multi-agent models to study the robustness and resilience of complex supply chain networks. In: 2014 international conference on intelligent autonomous agents, networks and systems. https://doi.org/10.1109/inagentsys.2014.7005717
Ponomarov S, Holcomb M (2009) Understanding the concept of supply chain resilience. Int J Logist Manag 20:124–143. https://doi.org/10.1108/09574090910954873
PWC (2021) Impact of COVID-19 on the supply chain industry. PWC, [s. l.]
Rodrigues F (2007) Caracterização,classificação e análise de redes complexas. PhD, Universidade de São Paulo
Sarkis J (2020) Supply chain sustainability: learning from the COVID-19 pandemic. Int J Oper Prod Manag, ahead-of-print(ahead-of-print). https://doi.org/10.1108/ijopm-08-2020-0568
Sterman JD (2001) System dynamics modeling: tools for learning in a complex world. Calif Manag Rev 43(4):8–25
Tuni A, Rentizelas A (2019) An innovative eco-intensity based method for assessing extended supply chain environmental sustainability. Int J Prod Econ 217:126–142. https://doi.org/10.1016/j.ijpe.2018.08.028
Van Hoek R, Gibson B, Johnson M (2020) Talent management for a post‐COVID‐19 supply chain–The critical role for managers. J Bus Logist
Vivas R, Sant’Anna A, Esquerre K, Freires F (2020) Integrated method combining analytical and mathematical models for the evaluation and optimization of sustainable supply chains: a Brazilian case study. Comput Ind Eng 139:105670. https://doi.org/10.1016/j.cie.2019.01.044
Wang JW et al (2013a) On petri net implementation of proactive resilient holistic supply chain networks. Int J Adv Manuf Technol 69(1–4):427–437
Wang J, Ip W, Muddada R et al (2013b) On petri net implementation of proactive resilient holistic supply chain networks. Int J Adv Manuf Technol 69:427–437. https://doi.org/10.1007/s00170-013-5022-x
Wang J et al. (2018) Management of a holistic supply chain network for proactive resilience: Theory and case study. Comput Ind Eng 125:668–677
Acknowledgments
This research is part of the INCT of the Future Internet for Smart Cities funded by CNPq proc. 465446/2014-0, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance Code 001, FAPESP proc. 14/50937-1, and FAPESP proc. 15/24485-9.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Section Editor information
Rights and permissions
Copyright information
© 2023 Springer Nature Switzerland AG
About this entry
Cite this entry
Gonçalves de Misquita e Silva, G., Stringhini, D. (2023). Analysis of Supply Chain Sustainability and Resilience. In: Aguilar-Rivera, N., Borsari, B., R. B. de Brito, P., Andrade Guerra, B. (eds) SDGs in the Americas and Caribbean Region. Implementing the UN Sustainable Development Goals – Regional Perspectives. Springer, Cham. https://doi.org/10.1007/978-3-031-16017-2_68
Download citation
DOI: https://doi.org/10.1007/978-3-031-16017-2_68
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-16016-5
Online ISBN: 978-3-031-16017-2
eBook Packages: Earth and Environmental ScienceReference Module Physical and Materials ScienceReference Module Earth and Environmental Sciences