Abstract
This paper focuses its study in the generation of a Supply Chain Resilience strategy for a metal-transformation company located in the City of Puebla, Mexico. The study tends to strengthen the capacity of the company, in terms of resilience in case of any logistic or operational disruption caused by the negative impacts of a disaster. It was suggested to start with a Risk Management Analysis (RMA) following by a Business Continuity Plan implementation. Using the (Define, Measure, Analyze, Improve, and Control) DMAIC methodology, disturbing agents from a national federal agency were analyzed to detect potential risks on the complete Mapping Production Process of the company, to sort those risks per weighted damage impact later. The strategy set up would help to the Tool Manufacturer to control risks better and improve the resilience culture of the company. The risk cost impact was estimated to be reduced from 1.2 M USD to USD 500 k USD. In the second scenario, an AHP was used, but considering other aspects like infrastructure, roads, and so forth, the safety sites were found in the northwest, center-west, center-east, southwest, southeastern, and central areas of the state of Puebla.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Atlas_National_Risk. (2018). Retrieved from www.atlasnacionalderiesgos.gob.mx.
Biggs, D. (2011). Understanding resilience in a vulnerable industry: The case of reef tourism in Australia. 1ARC Centre of Excellence for Coral Reef Studies, 18. https://doi.org/10.5751/es-03948-160130.
Blos, M. F. (2009). Supply chain risk management (SCRM): A case study on the automotive and electronic a case study on the automotive and electronic. Supply Chain Management: An International Journal, 247–252. https://doi.org/10.1108/13598540910970072.
Breuer, C. S.-D. (2013). Collaborative risk management in sensitive logistics nodes. Performance Management: An International Journal, 331–351. https://doi.org/10.1108/TPM-11-2012-0036.
CENAPRED. (2018). Declaratorias sobre emergencia, desastre y contingencia climatológica a nivel municipal entre 2000 y 2017. National Center for Disaster. Retrieved from Prevention. Retrieved March 10, 2018, from https://datos.gob.mx/busca/dataset/declaratorias-sobre-emergencia-desastre-y-contingencia-climatologica/resource/41444ebe-6a35-4631-8f91-9237d5114488.
Chiang, W. L. (2003). The establishment of earthquake, typhoon and flood insurance. Research Reports for the Department of Insurance, Ministry.
Chung-Hung, T. C.-W. (2010). An earthquake disaster management mechanism based on risk assessment information for the tourism industry-a case study from the island of Taiwan. Tourism Management, 470–481. https://doi.org/10.1016/j.tourman.2009.05.008.
Cruz, A. M. (2015). Emerging issues for natech disaster risk management in Europe. Journal of Risk Research, 37–41. https://doi.org/10.1080/13669870600717657.
Economy_Department_of_the_Mexican_Republic. (2016, August). Cenapred. Retrieved from Coordinación Nacional de Protección Civil http://www.cenapred.gob.mx/es/documentosWeb/Enaproc/FenomenoAntrop.pdf.
El_ Universal, I. (2018). Businessmen urge the government to fight insecurity in Mexico. El Universal (p. 1).
FONDEN. (2018). 2015–2018. Recursos autorizados por declaratoria de desastre. National System of Civil Protection. Retrieved from http://www.proteccioncivil.gob.mx/es/ProteccionCivil/Recursos_Autorizados_por_Declaratoria_de_Desastre.
Hoa, W. (2015). Supply chain risk management: A literature review. International Journal of Production Research, 5031–5069. https://doi.org/10.1080/00207543.2015.1030467.
Kreimer, A. (1999). Managing disaster risk in Mexico. Washington DC: The International Bank for Reconstruction.
Leat, P., & Revoredo‐Giha, C. (2013). Risk and resilience in agri-food supply chains: The supply chain management, 219–231. https://doi.org/10.1002/9781118937495.ch10.
Messner, F., and Green, C. (2007). Fundamental issues in the economic evaluation of flood damage. In Evaluating flood damages: Guidance and recommendations on principles and methods. Messner, F ., Penning-Rowsell, E., Green, C.H., Meyer, V., Tunstall, S. and van der Veen, A. (Eds) FLOODsite Report, T09-06-01, Wallington, 95–105.
Merza, M. (2013). A composite indicator model to assess natural disaster risks in industry on a spatial level. Journal of Risk Research, 16(9), 1077–1099. https://doi.org/10.1080/13669877.2012.737820.
Norrman, A. (2004). Ericsson’s proactive supply chain risk management approach after a serious sub-supplier accident. International Journal of Physical Distribution & Logistics Management, 434–456. https://doi.org/10.1108/09600030410545463.
Pascaline, W. (2018). Economic losses poverty and disasters. United Nations Office for Disaster Risk Reduction UNISDR, 31. https://doi.org/10.13140/RG.2.2.35610.08643.
Ponomarov, S. Y., & Holcomb, M. C. (2009). Understanding the concept of supply chain resilience. The International Journal of Logistics Management, 124–143. https://doi.org/10.1108/09574090910954873.
Sertyesilisik, B. (2017). Building information modeling as a tool for enhancing disaster resilience of the construction industry. Safety Engineering, 9–18. https://doi.org/10.1515/tvsbses-2017-0002.
Simba, S. W. (2017). Supply chain risk management processes for resilience: A study of South African grocery manufacturers. Journal of Transport and Supply Chain Management, 1–13. https://doi.org/10.4102/jtscm.v11i0.325.
Sun, M.-Z. (2018). Vessel traffic risk assessment based on uncertainty analysis in the risk matrix. Algorithms MDPI, 1–12. https://doi.org/10.3390/a11050060.
UK-DFIF. (2011 November). GOV.UK. Retrieved from Department for International Development https://www.gov.uk/government/organisations/department-for-international-development#content.
Van-der-Veen, G. (2017). Indirect economic damage: Concepts and guideline in evaluating flood damages. Flood site report, 95–105.
Wieland, T. J. (2013). The influence of relational competencies on supply chain resilience: A relational view. International Journal of Physical Distribution & Logistics Management, 300–320. https://doi.org/10.1108/IJPDLM-08-2012-0243.
World_Economic_Forum. (2008, January). Building resilience to natural disasters: A framework for private sector engagement. WEF (pp. 1–20).
Author information
Authors and Affiliations
Corresponding author
Appendix 15.1—Complete Risk Matrix Development, Self-production (2018)
Appendix 15.1—Complete Risk Matrix Development, Self-production (2018)
No | Impact of Risk | Risk Description | Category | Risk Owner | % | RPN (Prob) (%) | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
I | R | S | O | Q | B | Occ (%) | Det (%) | Imp (%) | |||||
1 | —Absense | Drought Effects | X | HR, Prod | 20 | 80 | 60 | 10 | |||||
2 | Low Temp | X | HR, Prod | 80 | 40 | 60 | 19 | ||||||
3 | Toxic Substances | X | HR, Prod | 20 | 80 | 60 | 10 | ||||||
4 | —Brakes in the process | Electric Storm | X | X | X | X | HR, Prod | 80 | 40 | 80 | 26 | ||
5 | —Emmisions Excess | Toxic Substances | X | X | HR, Prod | 20 | 80 | 60 | 10 | ||||
6 | —Energy over consumption | Low Temp | X | X | HR, Prod | 80 | 40 | 60 | 19 | ||||
7 | —Enviromental Legal Problems | Drought Effects | X | HR, Prod | 20 | 80 | 40 | 6 | |||||
8 | Low Temp | X | HR, Prod | 80 | 40 | 40 | 13 | ||||||
9 | Toxic Substances | X | HR, Prod | 20 | 80 | 40 | 6 | ||||||
10 | —Human Injury | Flooding | X | X | HR, Prod | 60 | 60 | 20 | 7 | ||||
11 | —Labor Sickness | Drought Effects | X | X | HR, Prod | 20 | 80 | 60 | 10 | ||||
12 | Low Temp | X | X | HR, Prod | 80 | 40 | 60 | 19 | |||||
13 | Toxic Substances | X | X | HR, Prod | 20 | 80 | 60 | 10 | |||||
14 | —Land Cracks | Flooding | X | X | HR, Prod | 60 | 60 | 80 | 29 | ||||
15 | —Machinery Overheat | Drought Effects | X | X | X | HR, Prod | 20 | 80 | 80 | 13 | |||
16 | —Machinery substance leak | Toxic Substances | X | X | X | HR, Prod | 20 | 80 | 100 | 16 | |||
17 | —Material undelivered | Earthquake | X | HR, Prod | 40 | 60 | 60 | 14 | |||||
18 | Flooding | X | HR, Prod | 60 | 60 | 60 | 22 | ||||||
19 | Hard Hails | X | HR, Prod | 80 | 20 | 60 | 10 | ||||||
20 | Volcanic Eruption | X | HR, Prod | 60 | 60 | 60 | 22 | ||||||
21 | —Pipe Ropture | Earthquake | X | X | X | HR, Prod | 40 | 60 | 100 | 24 |
Total Risk Value | Initial Risk Values | Action plan mitigation | Investment Req | % | RPN (Prob) (%) | Future Risk Values | ||||
---|---|---|---|---|---|---|---|---|---|---|
Probability of Occurrence (%) | Predicted Risk Value | Occ (%) | Det (%) | Imp (%) | Probability of Occurrence (%) | Predicted Risk Value | ||||
$120,000 | 10 | $11,520 | Water/Gatorade dispensers in the worksations | $1100 | 20 | 80 | 20 | 3 | 3 | $3840 |
$120,000 | 19 | $23,040 | Special cold extractors in strategic manufacturing zones | 800 | 80 | 40 | 20 | 6 | 6 | $7680 |
$120,000 | 10 | $11,520 | Add in the OSHAS risks procidure a Toxic substance control plan for each cell | $0 | 20 | 80 | 20 | 3 | 3 | $3840 |
$120,000 | 26 | $30,720 | Invest on an energy plant where needed to avoid disaster | $700 | 80 | 40 | 40 | 13 | 13 | $15,360 |
$120,000 | 10 | $11,520 | Add in the OSHAS risks procidure a Toxic substance control plan for each cell | $0 | 20 | 80 | 20 | 3 | 3 | $3840 |
$120,000 | 19 | $23,040 | Special cold extractors in strategic manufacturing zones | 800 | 80 | 40 | 20 | 6 | 6 | $7680 |
$120,000 | 6 | $7680 | Preventive action machinery check up | $0 | 20 | 80 | 0 | 0 | 0 | $0 |
$120,000 | 13 | $15,360 | Special cold extractors in strategic manufacturing zones | 800 | 80 | 40 | 0 | 0 | 0 | $0 |
$120,000 | 6 | $7680 | Add in the OSHAS risks procidure a Toxic substance control plan for each cell | $0 | 20 | 80 | 0 | 0 | 0 | $0 |
$120,000 | 7 | $8640 | Set a plan for exit emergency and alternative line manufacturer somewhere else by coorporate | 1800 | 60 | 60 | 0 | 0 | 0 | $0 |
$120,000 | 10 | $11,520 | Water/Gatorade dispensers in the worksations | $800 | 20 | 80 | 20 | 3 | 3 | $3840 |
$120,000 | 19 | $23,040 | Special cold extractors in strategic manufacturing zones | 800 | 80 | 40 | 20 | 6 | 6 | $7680 |
$120,000 | 10 | $11,520 | Add in the OSHAS risks procidure a Toxic substance control plan for each cell | $0 | 20 | 80 | 20 | 3 | 3 | $3840 |
$120,000 | 29 | $34,560 | Set a plan for exit emergency and alternative line manufacturer somewhere else by coorporate | 1800 | 60 | 60 | 40 | 14 | 14 | $17,280 |
$120,000 | 13 | $15,360 | Machine cooler’s | $800 | 20 | 80 | 40 | 6 | 6 | $7680 |
$120,000 | 16 | $19,200 | Add in the OSHAS risks procidure a Toxic substance control plan for each cell | $0 | 20 | 80 | 60 | 10 | 10 | $11,520 |
$120,000 | 14 | $17,280 | Set up a contingency plan for earthquakes | $450 | 40 | 60 | 20 | 5 | 5 | $5760 |
$120,000 | 22 | $25,920 | Set a plan for exit emergency and alternative line manufacturer somewhere else by coorporate | 1800 | 60 | 60 | 20 | 7 | 7 | $8640 |
$120,000 | 10 | $11,520 | Wear special protectors for hears when noice surpasses 85 decibels, NOM 011 | $100 | 80 | 20 | 20 | 3 | 3 | $3840 |
$120,000 | 22 | $25,920 | Plan in place, improve procidure applying a Kizen | $0 | 60 | 60 | 20 | 7 | 7 | $8640 |
$120,000 | 24 | $28,800 | Set up a contingency plan for earthquakes | $450 | 40 | 60 | 60 | 14 | 14 | $17,280 |
$120,000 | 6 | $7680 | Invest on an energy plant where needed to avoid disaster | $700 | 80 | 40 | 0 | 0 | 0 | $0 |
$120,000 | 7 | $8640 | Set a plan for exit emergency and alternative line manufacturer somewhere else by coorporate | 1800 | 60 | 60 | 0 | 0 | 0 | $0 |
$120,000 | 7 | $8640 | Set a plan for exit emergency and alternative line manufacturer somewhere else by coorporate | 1800 | 60 | 60 | 0 | 0 | 0 | $0 |
$120,000 | 6 | $7680 | Special cold extractors in strategic manufacturing zones | 800 | 80 | 40 | 0 | 0 | 0 | $0 |
$120,000 | 24 | $28,800 | Set up a contingency plan for earthquakes | $450 | 40 | 60 | 60 | 14 | 14 | $17,280 |
$120,000 | 10 | $11,520 | Set up a contingency plan for earthquakes | $450 | 40 | 60 | 0 | 0 | 0 | $0 |
$120,000 | 14 | $17,280 | Set a plan for exit emergency and alternative line manufacturer somewhere else by coorporate | 1800 | 60 | 60 | 0 | 0 | 0 | $0 |
$120,000 | 6 | $7680 | Wear special protectors for hears when noice surpasses 85 decibels, NOM 011 | $100 | 80 | 20 | 0 | 0 | 0 | $0 |
$120,000 | 14 | $17,280 | Plan in place, improve procidure applying a Kizen | $0 | 60 | 60 | 0 | 0 | 0 | $0 |
$120,000 | 16 | $19,200 | Wear special protectors for hears when noice surpasses 85 decibels, NOM 011 | $100 | 80 | 20 | 60 | 10 | 10 | $11,520 |
$120,000 | 6 | $7680 | Invest on an energy plant where needed to avoid disaster | $700 | 80 | 40 | 0 | 0 | 0 | $0 |
$120,000 | 10 | $11,520 | Set up a contingency plan for earthquakes | $450 | 40 | 60 | 0 | 0 | 0 | $0 |
$120,000 | 14 | $17,280 | Set a plan for exit emergency and alternative line manufacturer somewhere else by coorporate | 1800 | 60 | 60 | 0 | 0 | 0 | $0 |
$120,000 | 24 | $28,800 | Set up a contingency plan for earthquakes | $450 | 40 | 60 | 60 | 14 | 14 | $17,280 |
$120,000 | 16 | $19,200 | Wear special protectors for hears when noice surpasses 85 decibels, NOM 011 | $100 | 80 | 20 | 60 | 10 | 10 | $11,520 |
$120,000 | 36 | $43,200 | Plan in place, improve procidure applying a Kizen | $0 | 60 | 60 | 60 | 22 | 22 | $25,920 |
$120,000 | 24 | $28,800 | Set up a contingency plan for earthquakes | $450 | 40 | 60 | 60 | 14 | 14 | $17,280 |
$120,000 | 32 | $38,400 | Invest on an energy plant where needed to avoid disaster | $700 | 80 | 40 | 60 | 19 | 19 | $23,040 |
$120,000 | 36 | $43,200 | Set a plan for exit emergency and alternative line manufacturer somewhere else by coorporate | 1800 | 60 | 60 | 60 | 22 | 22 | $25,920 |
$120,000 | 10 | $11,520 | Set up a contingency plan for earthquakes | $450 | 40 | 60 | 0 | 0 | 0 | $0 |
$120,000 | 14 | $17,280 | Set a plan for exit emergency and alternative line manufacturer somewhere else by coorporate | 1800 | 60 | 60 | 0 | 0 | 0 | $0 |
$120,000 | 10 | $11,520 | Set up a contingency plan for earthquakes | $450 | 40 | 60 | 0 | 0 | 0 | $0 |
$120,000 | 14 | $17,280 | Set a plan for exit emergency and alternative line manufacturer somewhere else by coorporate | 1800 | 60 | 60 | 0 | 0 | 0 | $0 |
$120,000 | 6 | $7680 | Wear special protectors for hears when noice surpasses 85 decibels, NOM 011 | $100 | 80 | 20 | 0 | 0 | 0 | $0 |
$120,000 | 14 | $17,280 | Plan in place, improve procidure applying a Kizen | $0 | 60 | 60 | 0 | 0 | 0 | $0 |
$120,000 | 13 | $15,360 | Wear special protectors for hears when noice surpasses 85 decibels, NOM 011 | $100 | 80 | 20 | 40 | 6 | 6 | $7680 |
$120,000 | 26 | $30,720 | Invest on an energy plant where needed to avoid disaster | $700 | 80 | 40 | 40 | 13 | 13 | $15,360 |
$120,000 | 24 | $28,800 | Set up a contingency plan for earthquakes | $450 | 40 | 60 | 60 | 14 | 14 | $17,280 |
$120,000 | 36 | $43,200 | Set a plan for exit emergency and alternative line manufacturer somewhere else by coorporate | 1800 | 60 | 60 | 60 | 22 | 22 | $25,920 |
$120,000 | 36 | $43,200 | Plan in place, improve procidure applying a Kizen | $0 | 60 | 60 | 60 | 22 | 22 | $25,920 |
$120,000 | 29 | $34,560 | Set a plan for exit emergency and alternative line manufacturer somewhere else by coorporate | 1800 | 60 | 60 | 40 | 14 | 14 | $17,280 |
$120,000 | 29 | $34,560 | Set a plan for exit emergency and alternative line manufacturer somewhere else by coorporate | 1800 | 60 | 60 | 40 | 14 | 14 | $17,280 |
$120,000 | 7 | $8640 | Set a plan for exit emergency and alternative line manufacturer somewhere else by coorporate | 1800 | 60 | 60 | 0 | 0 | 0 | $0 |
$120,000 | 5 | $5760 | Set up a contingency plan for earthquakes | $450 | 40 | 60 | 0 | 0 | 0 | $0 |
$120,000 | 14 | $17,280 | Set up a contingency plan for earthquakes | $450 | 40 | 60 | 20 | 5 | 5 | $5760 |
$120,000 | 10 | $11,520 | Fans on workstations | $450 | 20 | 80 | 20 | 3 | 3 | $3840 |
$120,000 | 19 | $23,040 | Special cold extractors in strategic manufacturing zones | 800 | 80 | 40 | 20 | 6 | 6 | $7680 |
$120,000 | 10 | $11,520 | Add in the OSHAS risks procidure a Toxic substance control plan for each cell | $0 | 20 | 80 | 20 | 3 | 3 | $3840 |
$120,000 | 36 | $43,200 | Plan in place, improve procidure applying a Kizen | $0 | 60 | 60 | 60 | 22 | 22 | $25,920 |
$120,000 | 13 | $15,360 | Wear special protectors for hears when noice surpasses 85 decibels, NOM 011 | $100 | 80 | 20 | 40 | 6 | 6 | $7680 |
$120,000 | 36 | $43,200 | Plan in place, improve procidure applying a Kizen | $0 | 60 | 60 | 60 | 22 | 22 | $25,920 |
$120,000 | 5 | $5760 | Set up a contingency plan for earthquakes | $450 | 40 | 60 | 0 | 0 | 0 | $0 |
$120,000 | 13 | $15,360 | Invest on an energy plant where needed to avoid disaster | $700 | 80 | 40 | 0 | 0 | 0 | $0 |
$120,000 | 6 | $7680 | Wear special protectors for hears when noice surpasses 85 decibels, NOM 011 | $100 | 80 | 20 | 0 | 0 | 0 | $0 |
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Hernandez-Zitlalpopoca, R., Sánchez-Partida, D., Cano-Olivos, P., Caballero-Morales, SO. (2021). Development of a Resilience Strategy for a Supply Chain of a Tool Manufacturer. In: Disaster Risk Reduction in Mexico. Springer, Cham. https://doi.org/10.1007/978-3-030-67295-9_15
Download citation
DOI: https://doi.org/10.1007/978-3-030-67295-9_15
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-67294-2
Online ISBN: 978-3-030-67295-9
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)