Modeling of the resilient supply chain system from a perspective of production design changes

Shuangshuang ZHANG, Hongfeng WANG, Guo LI, Junwei WANG

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Front. Eng ›› 2023, Vol. 10 ›› Issue (1) : 96-106. DOI: 10.1007/s42524-022-0235-z
RESEARCH ARTICLE
RESEARCH ARTICLE

Modeling of the resilient supply chain system from a perspective of production design changes

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Abstract

Building an effective resilient supply chain system (RSCS) is critical and necessary to reduce the risk of supply chain disruptions in unexpected scenarios such as COVID-19 pandemic and trade wars. To overcome the impact of insufficient raw material supply on the supply chain in mass disruption scenarios, this study proposes a novel RSCS considering product design changes (PDC). An RSCS domain model is first developed from the perspective of PDC based on a general conceptual framework, i.e., function-context-behavior-principle-state-structure (FCBPSS), which can portray complex systems under unpredictable situations. Specifically, the interaction among the structure, state and behavior of the infrastructure system and substance system is captured, and then a quantitative analysis of the change impact process is presented to evaluate the resilience of both the product and supply chain. Next, a case study is conducted to demonstrate the PDC strategy and to validate the feasibility and effectiveness of the RSCS domain model. The results show that the restructured RSCS based on the proposed strategy and model can remedy the huge losses caused by the unavailability of raw materials.

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Keywords

resilient supply chain / supply chain disruption / domain modeling / product design changes

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Shuangshuang ZHANG, Hongfeng WANG, Guo LI, Junwei WANG. Modeling of the resilient supply chain system from a perspective of production design changes. Front. Eng, 2023, 10(1): 96‒106 https://doi.org/10.1007/s42524-022-0235-z

References

[1]
Chen, C Y Liao, G Y Lin, K S (2015). An attribute-based and object-oriented approach with system implementation for change impact analysis in variant product design. Computer Aided Design, 62: 203–217
CrossRef Google scholar
[2]
ChenJWangHFuY (2022). A multi-stage supply chain disruption mitigation strategy considering product life cycle during COVID-19. Environmental Science and Pollution Research International, in press, doi:10.1007/s11356-022-18931-7
[3]
Chopra, S Sodhi, M S (2004). Managing risk to avoid supply-chain breakdown. MIT Sloan Management Review, 46( 1): 53–61
[4]
Chowdhury, M M H Quaddus, M (2016). Supply chain readiness, response and recovery for resilience. Supply Chain Management, 21( 6): 709–731
CrossRef Google scholar
[5]
Chowdhury, P Paul, S K Kaisar, S Moktadir, M A (2021). COVID-19 pandemic related supply chain studies: A systematic review. Transportation Research Part E: Logistics and Transportation Review, 148: 102271
CrossRef Google scholar
[6]
de, Paulo Farias D de, Araújo F F (2020). Will COVID-19 affect food supply in distribution centers of Brazilian regions affected by the pandemic?. Trends in Food Science & Technology, 103: 361–366
CrossRef Google scholar
[7]
Dolgui, A Ivanov, D Sokolov, B (2018). Ripple effect in the supply chain: An analysis and recent literature. International Journal of Production Research, 56( 1‒2): 414–430
CrossRef Google scholar
[8]
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, 58( 11): 3381–3398
CrossRef Google scholar
[9]
Frederico, G F (2021). Towards a Supply Chain 4.0 on the post-COVID-19 pandemic: A conceptual and strategic discussion for more resilient supply chains. Rajagiri Management Journal, 15( 2): 94–104
CrossRef Google scholar
[10]
Gao, Y Feng, Z Zhang, S (2021). Managing supply chain resilience in the era of VUCA. Frontiers of Engineering Management, 8( 3): 465–470
CrossRef Google scholar
[11]
Hetzner C (2022a). Under Armour, Adidas suffer after China’s COVID lockdowns expose vulnerability in supply chain
[12]
Hetzner C (2022b). Shanghai plots path out of lockdown, but supply chain bottlenecks could last through the year
[13]
Ivanov, D (2020). Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case. Transportation Research Part E: Logistics and Transportation Review, 136: 101922
CrossRef Google scholar
[14]
Ivanov, D Das, A (2020). Coronavirus (COVID-19/SARS-CoV-2) and supply chain resilience: A research note. International Journal of Integrated Supply Management, 13( 1): 90–102
CrossRef Google scholar
[15]
Ivanov, D Dolgui, A (2020). Viability of intertwined supply networks: Extending the supply chain resilience angles towards survivability, a position paper motivated by COVID-19 outbreak. International Journal of Production Research, 58( 10): 2904–2915
CrossRef Google scholar
[16]
Ivanov, D Dolgui, A (2021). A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0. Production Planning and Control, 32( 9): 775–788
CrossRef Google scholar
[17]
Ivanov, D Dolgui, A Sokolov, B Ivanova, M (2017). Literature review on disruption recovery in the supply chain. International Journal of Production Research, 55( 20): 6158–6174
CrossRef Google scholar
[18]
Iyengar, K Bahl, S Vaishya, R Vaish, A (2020). Challenges and solutions in meeting up the urgent requirement of ventilators for COVID-19 patients. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14( 4): 499–501
CrossRef Google scholar
[19]
Leite, H Lindsay, C Kumar, M (2021). COVID-19 outbreak: Implications on healthcare operations. The TQM Journal, 33( 1): 247–256
CrossRef Google scholar
[20]
Li, Y Chen, K Collignon, S Ivanov, D (2021). Ripple effect in the supply chain network: Forward and backward disruption propagation, network health and firm vulnerability. European Journal of Operational Research, 291( 3): 1117–1131
CrossRef Google scholar
[21]
Li, Y Zhao, W Zhang, J (2019). Resource-constrained scheduling of design changes based on simulation of change propagation process in the complex engineering design. Research in Engineering Design, 30( 1): 21–40
CrossRef Google scholar
[22]
Lin, Y Zhang, W J (2004). Towards a novel interface design framework: Function-behavior-state paradigm. International Journal of Human-Computer Studies, 61( 3): 259–297
CrossRef Google scholar
[23]
Lozano-Diez, J A Marmolejo-Saucedo, J A Rodriguez-Aguilar, R (2020). Designing a resilient supply chain: An approach to reduce drug shortages in epidemic outbreaks. EAI Endorsed Transactions on Pervasive Health and Technology, 6( 21): e2
CrossRef Google scholar
[24]
McGregor G (2022). A semiconductor CEO explains how Shanghai’s 7-week lockdown is crippling his supply chain and fueling inflation
[25]
Mehrotra, S Rahimian, H Barah, M Luo, F Schantz, K (2020). A model of supply-chain decisions for resource sharing with an application to ventilator allocation to combat COVID-19. Naval Research Logistics, 67( 5): 303–320
CrossRef Google scholar
[26]
Park, Y W Blackhurst, J Paul, C Scheibe, K P (2022). An analysis of the ripple effect for disruptions occurring in circular flows of a supply chain network. International Journal of Production Research, 60( 15): 4693–4711
CrossRef Google scholar
[27]
Paul, S K Chowdhury, P (2020). Strategies for managing the impacts of disruptions during COVID-19: An example of toilet paper. Global Journal of Flexible Systems Management, 21( 3): 283–293
CrossRef Google scholar
[28]
Paul, S K Chowdhury, P (2021). A production recovery plan in manufacturing supply chains for a high-demand item during COVID-19. International Journal of Physical Distribution & Logistics Management, 51( 2): 104–125
CrossRef Google scholar
[29]
Ponomarov, S Y Holcomb, M C (2009). Understanding the concept of supply chain resilience. International Journal of Logistics Management, 20( 1): 124–143
CrossRef Google scholar
[30]
Rajesh, R (2021). Flexible business strategies to enhance resilience in manufacturing supply chains: An empirical study. Journal of Manufacturing Systems, 60: 903–919
CrossRef Google scholar
[31]
Ralston, P Blackhurst, J (2020). Industry 4.0 and resilience in the supply chain: A driver of capability enhancement or capability loss?. International Journal of Production Research, 58( 16): 5006–5019
CrossRef Google scholar
[32]
Remko, H (2020). Research opportunities for a more resilient post-COVID-19 supply chain: Closing the gap between research findings and industry practice. International Journal of Operations & Production Management, 40( 4): 341–355
CrossRef Google scholar
[33]
Rice, J Caniato, F (2003). Building a secure and resilient supply network. Supply Chain Management Review, 7( 5): 22–30
[34]
Shekarian, M Mellat Parast, M (2021). An integrative approach to supply chain disruption risk and resilience management: A literature review. International Journal of Logistics Research and Applications, 24( 5): 427–455
CrossRef Google scholar
[35]
ShiXLiuWZhangJ (2021). Present and future trends of supply chain management in the presence of COVID-19: A structured literature review. International Journal of Logistics Research and Applications, in press, doi:10.1080/13675567.2021.1988909
[36]
Song, M Y Wang, J W (2022). Domain modelling of the financial system. Enterprise Information Systems, 16( 4): 589–605
CrossRef Google scholar
[37]
Torabi, S A Baghersad, M Mansouri, S A (2015). Resilient supplier selection and order allocation under operational and disruption risks. Transportation Research Part E: Logistics and Transportation Review, 79: 22–48
CrossRef Google scholar
[38]
Wang, H S Che, Z H (2008). A multi-phase model for product part change problems. International Journal of Production Research, 46( 10): 2797–2825
CrossRef Google scholar
[39]
Wang, J W Wang, H F Ding, J L Furuta, K Kanno, T Ip, W H Zhang, W J (2016). On domain modelling of the service system with its application to enterprise information systems. Enterprise Information Systems, 10( 1): 1–16
CrossRef Google scholar
[40]
Wang, L Deng, T Shen, Z J M Hu, H Qi, Y (2022). Digital twin-driven smart supply chain. Frontiers of Engineering Management, 9( 1): 56–70
CrossRef Google scholar
[41]
Zhang, Q Liao, B Yang, S (2020). Application of blockchain in the field of intelligent manufacturing: Theoretical basis, realistic plights, and development suggestions. Frontiers of Engineering Management, 7( 4): 578–591
CrossRef Google scholar

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