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Sustainable supply chain for disaster management: structural dynamics and disruptive risks

  • S.I. : Design and Management of Humanitarian Supply Chains
  • Published:
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Abstract

This study explores the operational characteristics of supply chain operations during disaster scenarios within Bangladesh and the profound impact of disruption risks due to poor operational effectiveness and structural dynamics within the supply chain network. Via the analysis of representative case studies and interviews with over 500 stakeholders, we identify and analyse the many structural and administrative complexities and subsequent disruption risks surrounding the utilisation of traditional supply chain infrastructures for emergency disaster scenarios. The findings illustrate the severe impact of poor demand estimation, inadequate selection of supply items, bureaucratic and extended chain of administration, poor central coordination among the participating organizations, absence of interoperability, poor infrastructure, and lack of information sharing. We propose a new emergency supply chain infrastructure to mitigate these threats offering contribution to the literature as well as support to disaster relief efforts within Bangladesh.

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References

  • ADRC (Asia Disaster Reduction Centre). (2019). Information on disaster risk reduction of the member countries. https://www.adrc.asia/nationinformation.php?NationCode=50&Lang=en&Mode=country.

  • Alessandra, C. (2012). Humanitarian logistics: Cross-sector cooperation in disaster relief management, chapter 2, p 13, Springer.

  • Ali, I., Nagalingam, S., & Gurd, B. (2017). Building resilience in SMEs of perishable product supply chains: enablers, barriers and risks. Production Planning & Control, 28(15), 1236–1250.

    Article  Google Scholar 

  • Altay, N., & Labonte, M. (2014). Challenges in humanitarian information management and exchange: Evidence from Haiti. Disasters, 38(S1), S50–S72.

    Article  Google Scholar 

  • Ambulkar, S., Blackhurst, J., & Grawe, S. (2015). Firm’s resilience to supply chain disruptions: Scale development and empirical examination. Journal of Operations Management, 33–34(34), 111–122.

    Article  Google Scholar 

  • Balcik, B., & Beamon, B. M. (2008). Facility location in humanitarian relief. International Journal of Logistics: Research and Applications, 11(2), 101–121.

    Article  Google Scholar 

  • Balcik, B., Beamon, B. M., Krejci, C. C., Muramatsu, K. M., & Ramirez, M. (2010). Coordination in humanitarian relief chains: Practices, challenges and opportunities. International Journal of Production Economics, 126(1), 22–34.

    Article  Google Scholar 

  • Beamon, B. M., & Balcik, B. (2008). Performance measurement in humanitarian relief chains. International Journal of Public Sector Management, 21(1), 4–25.

    Article  Google Scholar 

  • Berman, O., Krass, D., & Menezes, M. B. C. (2007). Facility reliability issues in network P-median problems: Strategic centralization and co-location e®ects. Operations Research, 55, 332–350.

    Article  Google Scholar 

  • Blackhurst, J., Craighead, C. W., Elkins, D., & Handfield, R. B. (2005). An empirically derived agenda of critical research issues for managing supply-chain disruptions. International Journal of Production Research, 43(19), 4067–4081.

    Article  Google Scholar 

  • Bui, T., Cho, S., Sankaran, S., & Sovereign, M. (2000). A framework for designing a global information network for multinational humanitarian assistance/disaster relief. Information Systems Frontiers, 1(4), 427–442.

    Article  Google Scholar 

  • Campos, P. F., Trucco, P., & Huaccho Huatuco, L. (2019). Managing structural and dynamic complexity in supply chains: Insights from four case studies. Production Planning and Control, 30, 1–13.

    Google Scholar 

  • Cavinato, J. L. (2004). Supply chain logistics risks: From the back room to the board room. International Journal of Physical Distribution and Logistics Management, 34(5), 383–387.

    Article  Google Scholar 

  • Chopra, Sunil, & Sodhi, Man Mohan S. (2004). Managing risk to avoid supply-chain breakdown. Sloan Management Review, 46(1), 53–61.

    Google Scholar 

  • Coleman, Les. (2006). Frequency of man-made disasters in the 20th century. Journal of Contingencies and Crisis Management, 14(1), 3–11.

    Article  Google Scholar 

  • Cui, T., Ouyang, Y., & Shen, Z.-J. M. (2010). Reliable facility location design under the risk of disruptions. Operations Research, 58(4-Part-1), 998–1011.

    Article  Google Scholar 

  • Davis, L. B., Samanlioglu, F., Qu, X., & Root, S. (2013). Inventory planning and coordination in disaster relief efforts. International Journal of Production Economics, 141(2), 561–573.

    Article  Google Scholar 

  • Diallo, C., Venkatadri, U., Khatab, A., & Bhakthavatchalam, S. (2017). State of the art review of quality, reliability and maintenance issues in closed-loop supply chains with remanufacturing. International Journal of Production Research, 55(5), 1277–1296.

    Article  Google Scholar 

  • Diniz, J. D. A. S., & Fabbe-Costes, N. (2007). Supply chain management and supply chain orientation: key factors for sustainable development projects in developing countries?. InternationalJournal of Logistics: Research and Applications, 10(3), 235–250.

    Article  Google Scholar 

  • Disaster Management Bureau. (2015). National plan for disaster management, standing orders on disaster. Government of the People’s Republic of Bangladesh.

  • Dolgui, A., Ivanov, D., Sokolov, B. (2018). Ripple effect in the supply chain: An analysis and recent literature. International Journal of Production Research, Invited Special Issue 55th Volume Anniversary of IJPR, 56(1–2), 414–430.

  • Dreyer, H. C., Strandhagen, J. O., Hvolby, H.-H., Romsdal, A., & Alfnes, E. (2016). Supply chain strategies for specialty foods: a Norwegian case study. Production Planning and Control, 27(11), 878–893.

    Article  Google Scholar 

  • Dubey, R., Ali, S. S., Aital, P., & Venkatesh, V. G. (2014). Mechanics of humanitarian supply chain agility and resilience and its empirical validation. International Journal of Services and Operations Management, 17(4), 367–384.

    Article  Google Scholar 

  • Dubey, R., Altay, N., & Blome, C. (2019a). Swift trust and commitment: The missing links for humanitarian supply chain coordination? Annals of Operations Research, 283(1), 159–177.

    Article  Google Scholar 

  • Dubey, R., Gunasekaran, A., & Ali, S. S. (2015). Exploring the relationship between leadership, operational practices, institutional pressures and environmental performance: A framework for green supply chain. International Journal of Production Economics, 160(February), 120–132.

    Article  Google Scholar 

  • Dubey, R., Gunasekaran, A., Bryde, D. J., Dwivedi, Y. K., & Papadopoulos, T. (2020). Blockchain technology for enhancing swift-trust, collaboration and resilience within a humanitarian supply chain setting. International Journal of Production Research, 1–18.

  • Dubey, R., Gunasekaran, A., Childe, S. J., Fosso Wamba, S., Roubaud, D., & Foropon, C. (2019b). Empirical investigation of data analytics capability and organizational flexibility as complements to supply chain resilience. International Journal of Production Research, 1–19.

  • Dubey, R., Gunasekaran, A., & Papadopoulos, T. (2019c). Disaster relief operations: Past, present and future. Annals of Operations Research, 283(1–2), 1–8.

    Article  Google Scholar 

  • Dubey, R., Gunasekaran, A., Papadopoulos, T., Childe, S., Shibin, K., & Wamba, S. (2017). Sustainable supply chain management: Framework and further research directions. Journal of Cleaner Production, 142(Part 2), 1119–1130.

    Article  Google Scholar 

  • Dwivedi, Y. K., Shareef, M. A., Mukerji, B., Rana, N. P., & Kapoor, K. K. (2018). Involvement in emergency supply chain for disaster management: A cognitive dissonance perspective. International Journal of Production Research, 56(21), 6758–6773.

    Article  Google Scholar 

  • Garcia-Garcia, G., Woolley, E., & Rahimifard, S. (2015). A framework for a more efficient approach to food waste management. International Journal of Food Engineering, 1(1), 65e72.

    Google Scholar 

  • Gebresenbet, G., & Bosona T. (2012). Logistics and Supply Chains in Agriculture and Food, Pathways to Supply Chain Excellence. Groznik, A. (Ed.) InTech. Available from: http://www.intechopen.com/books/pathways-tosupply-chainexcellence/logistics-chains-in-foodandagriculture-sector.

  • Gopal, P. R. C., & Thakkar, J. (2016). Analysing critical success factors to implement sustainable supply chain practices in indian automobile industry: A case study. Production Planning and Control, 27(12), 1005–1018.

    Article  Google Scholar 

  • Gunasekaran, A., Dubey, R., Fosso Wamba, S., Papadopoulos, T., Hazen, B. T., & Ngai, E. W. (2018). Bridging humanitarian operations management and organisational theory. International Journal of Production Research, 56(21), 6735–6740.

    Article  Google Scholar 

  • Gupta, W., He, B., & Sethi, S. P. (2015). Contingent sourcing under supply disruption and competition. International Journal of Production Research, 53(10), 3006–3027.

    Article  Google Scholar 

  • Hendricks, K. B., & Singhal, V. R. (2005). An empirical analysis of the effect of supply chain disruptions on long-run stock price and equity risk of the firm. Production and Operations Management, 14(1), 35–52.

    Article  Google Scholar 

  • Hishamuddin, H., Sarker, R. A., & Essam, D. (2013). A recovery model for a two-echelon serial supply chain with consideration of transportation disruption. Computers & Industrial Engineering, 64(2), 552–561.

    Article  Google Scholar 

  • Hou, J., Zeng, A. Z., & Zhao, L. (2010). Coordination with a backup supplier through buy-back contract under supply disruption. Transportation Research Part E: Logistics and Transportation Review, 46(6), 881–895.

    Article  Google Scholar 

  • Hu, X., Gurnani, H., & Wang, L. (2013). Managing risk of supply disruptions: Incentives for capacity restoration. Production and Operations Management, 22(1), 137–150.

    Article  Google Scholar 

  • Hughes, D. L., Rana, N. P., & Dwivedi, Y. K. (2020). Elucidation of IS project success factors: An interpretive structural modelling approach. Annals of Operations Research, 285(1), 35–66.

    Article  Google Scholar 

  • Islam, M. A., Islam, M. S., & Islam, T. (2017). Landslides in chittagong hill tracts and possible measures. In International conference on disaster risk mitigation, Dhaka, Bangladesh.

  • Ivanov, D. (2018). Revealing interfaces of supply chain resilience and sustainability: a simulation study. International Journal of Production Research, 56(10), 3507–3523.

    Article  Google Scholar 

  • Ivanov, D., Sokolov, B., & Kaeschel, J. (2010). A multi-structural framework for adaptive supply chain planning and operations control with structure dynamics considerations. European Journal of Operational Research, 200(2), 409–420.

    Article  Google Scholar 

  • Ivanov, D., Sokolov, B., Pavlov, A., Dolgui, A., & Pavlov, D. (2016). Disruption-driven supply chain (re)-planning and performance impact assessment with consideration of pro-active and recovery policies. Transportation Research Part E, 90, 7–24.

    Article  Google Scholar 

  • Ivanov, D., Sokolov, B., & Dolgui, A. (2014). The ripple effect in supply chains: Trade-off ‘efficiency flexibility-resilience’ in disruption management. International Journal of Production Research, 52(7), 2154–2172.

    Article  Google Scholar 

  • Jayaram, J., Vickery, S. K., & Droge, C. (2000). The effects of information system infrastructure and process improvements on supply–chain time performance. International Journal of Physical Distribution & Logistics Management, 30(3/4), 314–330.

    Article  Google Scholar 

  • Kahn, M. S. A. (2008). Disaster preparedness for sustainable development in Bangladesh. Disaster Prevention and Management, 17(5), 662–671.

    Article  Google Scholar 

  • Ketokivi, M., & Choï, T. (2014). Renaissance of case research as a scientific method. Journal of Operations Management, 32(5), 232–240.

    Article  Google Scholar 

  • Knemeyer, A. M., Zinn, W., & Eroglu, C. (2009). Proactive planning for catastrophic events in supply chains. Journal of Operations Management, 27(2), 141–153.

    Article  Google Scholar 

  • Kouvelis, P., & Li, J. (2012). Contingency strategies in managing supply systems with uncertain lead-times. Production and Operations Management, 21(1), 161–176.

    Article  Google Scholar 

  • Kumar, A., Singh, J. P., Dwivedi, Y. K., & Rana, N. P. (2020). A deep multi-modal neural network for informative Twitter content classification during emergencies. Annals of Operations Research, 1–32.

  • Lee, Hau L., & Billington, C. (1993). Material management in decentralized supply chains. Operations Research, 41(5), 835–847.

    Article  Google Scholar 

  • Lewis, B. M., Erera, A. L., Nowak, M. A., & White, C. C., III. (2013). Managing inventory in global supply chains facing port-of-entry disruption risks. Transportation Science, 47(2), 162–180.

    Article  Google Scholar 

  • Li, Q., Zeng, B., & Savachkin, A. (2013). Reliable facility location design under disruptions. Computers & Operations Research, 40(4), 901–909.

    Article  Google Scholar 

  • Lim, M. K., Bassamboo, A., Chopra, S., & Daskin, M. S. (2013). Facility location decisions with random disruptions and imperfect estimation. Manufacturing and Service Operations Management, 15(2), 239–249.

    Article  Google Scholar 

  • Manuj, I., & Mentzer, J. T. (2008). Global supply chain risk management. Journal of Business Logistics, 29(1), 133–155.

    Article  Google Scholar 

  • McKinnon, Alan. (2006). Life without trucks: The impact of a temporary disruption of road freight transport on a national economy. Journal of Business Logistics, 27(2), 227–250.

    Article  Google Scholar 

  • McLachlin, R., & Larson, P. D. (2011). Building humanitarian supply chain relationships: Lessons from leading practitioners. Journal of Humanitarian Logistics and Supply Chain Management, 1(1), 32–49.

    Article  Google Scholar 

  • Moktadir, M. A., Rahman, T., Rahman, M. H., Ali, S. M., & Paul, S. K. (2018). Drivers to sustainable manufacturing practices and circular economy: A perspective of leather industries in Bangladesh. Journal of Cleaner Production, 174, 1366–1380.

    Article  Google Scholar 

  • Moon, M. D. (2019). Triangulation: A method to increase validity, reliability, and legitimation in clinical research. Journal of Emergency Nursing, 45(1), 103–105.

    Article  Google Scholar 

  • Norrman, A., & Jansson, J. (2004). Ericsson’s proactive supply chain risk management approach after a serious sub-supplier accident. International Journal of Physical Distribution and Logistics Management, 35(5), 434–453.

    Article  Google Scholar 

  • Oke, A., & Gopalakrishnan, M. (2009). Managing disruptions in supply chains: A case study of a retail supply chain. The International Journal of Production Economics, 118(1), 168–174.

    Article  Google Scholar 

  • Patton, M. Q. (1981). Creative evaluation. San Anselmo: Sage.

    Google Scholar 

  • Rao, S., Goldsby, T. J., & Iyengar, D. (2009). The marketing and logistics efficacy of online sales channels. International Journal of Physical Distribution and Logistics Management, 39(2), 106–130.

    Article  Google Scholar 

  • Sarker, M. N. I., Bingxin, Y., Sultana, A., & Prodhan, A. S. (2017). Problems and challenges of public administration in Bangladesh: Pathway to sustainable development. International Journal of Public Administration and Policy Research, 2(1), 008–015.

    Google Scholar 

  • Shareef, M. A., Baabdullah, A., Dutta, S., Kumar, V., & Dwivedi, Y. K. (2018). Consumer adoption of mobile banking services: An empirical examination of factors according to adoption stages. Journal of Retailing and Consumer Services, 43, 54–67.

    Article  Google Scholar 

  • Shareef, M. A., Dwivedi, Y. K., Kumar, V., Mahmud, R., Hughes, D. L., Rana, N. P., & Kizgin, H. (2020). The inherent tensions within sustainable supply chains: A case study from Bangladesh. Production Planning and Control, 1–18.

  • Shareef, M. A., Dwivedi, Y. K., Mahmud, R., Wright, A., Rahman, M. M., Kizgin, H., et al. (2019). Disaster management in Bangladesh: Developing an effective emergency supply chain network. Annals of Operations Research, 283(1), 1463–1487.

    Article  Google Scholar 

  • Shibin, K. T., Dubey, R., Gunasekaran, A., Hazen, B., Roubaud, D., Gupta, S., et al. (2017). Examining sustainable supply chain management of SMEs using resource based view and institutional theory. Annals of Operations Research, 290, 1–26.

    Google Scholar 

  • Sinha, A., Kumar, P., Rana, N. P., Islam, R., & Dwivedi, Y. K. (2019). Impact of internet of things (IoT) in disaster management: A task-technology fit perspective. Annals of Operations Research, 283(1–2), 759–794.

    Article  Google Scholar 

  • Sodhi, M. S. (2005). Managing demand risk in tactical supply chain planning for a global consumer electronics company. Production and Operations Management, 14, 69–79.

    Article  Google Scholar 

  • Sodhi, M. S., Son, B. G., & Tang, C. S. (2012). Researchers’ perspectives on supply chain risk management. Production and Operations Management, 21, 1–13.

    Article  Google Scholar 

  • Tang, C. S., & Tomlin, B. (2008). The power of flexibility for mitigating supply chain risks. The International Journal of Production Economics, 116(1), 12–27.

    Article  Google Scholar 

  • Tayal, A., Gunasekaran, A., Singh, S. P., Dubey, R., & Papadopoulos, T. (2017). Formulating and solving sustainable stochastic dynamic facility layout problem: A key to sustainable operations. Annals of Operations Research, 253(1), 621–655.

    Article  Google Scholar 

  • Tomasini, R., & Van Wassenhove, L. (2009). Humanitarian logistics. London: McMillan Publishers.

    Book  Google Scholar 

  • Wagner, S. M., & Bode, C. (2008). An empirical examination of supply chain performance along several dimensions of risk. Journal of Business Logistics, 29(1), 307–325.

    Article  Google Scholar 

  • Wamba, S. F., Gunasekaran, A., Dubey, R., & Ngai, E. W. (2018). Big data analytics in operations and supply chain management. Annals of Operations Research, 270(1–2), 1–4. https://doi.org/10.1007/s10479-018-3024-7.

    Article  Google Scholar 

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Shareef, M.A., Dwivedi, Y.K., Kumar, V. et al. Sustainable supply chain for disaster management: structural dynamics and disruptive risks. Ann Oper Res 319, 1451–1475 (2022). https://doi.org/10.1007/s10479-020-03708-3

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