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Modeling transportation disruptions in the supply chain of automotive parts manufacturing company

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  • Fartaj, Seyedamir-Reza
  • Kabir, Golam
  • Eghujovbo, Victor
  • Ali, Syed Mithun
  • Paul, Sanjoy Kumar

Abstract

The transportation network plays a vital role in the strategic imperative of automotive parts manufacturing companies. There is a lack of academic and practical studies, which focus solely on transportation disruption analysis in the supply chain of automotive parts manufacturing company. Moreover, very few studies have taken into account the cause and effect relationship between transportation disruption factors. The objective of this study is to analyze the critical transportation disruption factors of the supply chain of automotive parts manufacturing company and to represent the interrelationships using the best-worst (BWM) and rough strength-relation (RSR) analysis methods. The newly integrated BWM-RSR framework considers the vagueness and ambiguity in disruption factor analysis. The applicability and effectiveness of the newly developed BWM-RSR framework are demonstrated at an automotive parts manufacturing company in Oldcastle, Ontario, Canada. The results show that infrastructural bottlenecks/congestion and inadequate skilled labor are the most critical factors to the disruption of the transportation network in the automotive industry. The developed new framework can be used as an effective tool to analyze critical transportation disruption factors and examine the associated interrelationships.

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  • Fartaj, Seyedamir-Reza & Kabir, Golam & Eghujovbo, Victor & Ali, Syed Mithun & Paul, Sanjoy Kumar, 2020. "Modeling transportation disruptions in the supply chain of automotive parts manufacturing company," International Journal of Production Economics, Elsevier, vol. 222(C).
    • Handle: RePEc:eee:proeco:v:222:y:2020:i:c:s0925527319303317
    DOI: 10.1016/j.ijpe.2019.09.032
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    Cited by:

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    2. Matthias Klumpp & Dominic Loske, 2021. "Sustainability and Resilience Revisited: Impact of Information Technology Disruptions on Empirical Retail Logistics Efficiency," Sustainability, MDPI, vol. 13(10), pages 1-20, May.
    3. Ashish Dwivedi & Claudio Sassanelli & Dindayal Agrawal & Md. Abdul Moktadir & Idiano D'Adamo, 2023. "Drivers to mitigate climate change in context of manufacturing industry: An emerging economy study," Business Strategy and the Environment, Wiley Blackwell, vol. 32(7), pages 4467-4484, November.
    4. Md. Rayhan Sarker & Md. Abdul Moktadir & Ernesto D. R. Santibanez-Gonzalez, 2021. "Social Sustainability Challenges Towards Flexible Supply Chain Management: Post-COVID-19 Perspective," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 22(2), pages 199-218, December.
    5. Ma, Haicheng & Lou, Gaoxiang & Fan, Tijun & Chan, Hing Kai & Chung, Sai Ho, 2021. "Conventional automotive supply chains under China's dual-credit policy: fuel economy, production and coordination," Energy Policy, Elsevier, vol. 151(C).
    6. Sanjoy Kumar Paul & Priyabrata Chowdhury, 2020. "Strategies for Managing the Impacts of Disruptions During COVID-19: an Example of Toilet Paper," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 21(3), pages 283-293, September.
    7. João M. Lopes & Sofia Gomes & Lassana Mané, 2022. "Developing Knowledge of Supply Chain Resilience in Less-Developed Countries in the Pandemic Age," Logistics, MDPI, vol. 6(1), pages 1-19, January.
    8. Vafadarnikjoo, Amin & Tavana, Madjid & Chalvatzis, Konstantinos & Botelho, Tiago, 2022. "A socio-economic and environmental vulnerability assessment model with causal relationships in electric power supply chains," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    9. Mohammed Al Awadh, 2022. "Utilizing Multi-Criteria Decision Making to Evaluate the Quality of Healthcare Services," Sustainability, MDPI, vol. 14(19), pages 1-21, October.

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