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Selecting Resilient Strategies for Cost Optimization in Prefabricated Building Supply Chains Based on the Non-Dominated Sorting Genetic Algorithm-Ⅱ: Facing Diverse Disruption Scenarios

Author

Listed:
  • Yanyan Wang

    (School of Management Engineering, Shandong Jianzhu University, Jinan 250101, China)

  • Tongtong Wang

    (School of Management Engineering, Shandong Jianzhu University, Jinan 250101, China)

  • Wenjing Cui

    (School of Management Engineering, Shandong Jianzhu University, Jinan 250101, China)

  • Guangqiang Zhou

    (School of Civil Engineering, Shandong Jianzhu University, Jinan 250101, China)

  • Huajun Liu

    (Asset Division, Shandong Jianzhu University, Jinan 250101, China)

Abstract

As a new sustainable building production mode, prefabricated building supply chains can realize energy saving, environmental protection and full cycle value maximization of building products. Prefabricated building supply chains often experience disruptions due to supply instability, transportation delay and force majeure, resulting in project delays and cost escalations and posing challenges to the sustainable development objectives of enterprises. Therefore, it is important and essential to study the strategy of enhancing the resiliency of prefabricated building supply chains, which has not been comprehensively explored in previous papers. This paper constructs decision-making models for supply chain cost resilience strategies under varying scenarios of supply disruptions, incorporating both redundant inventory and back-up supplier strategy. It considers the total cost and resilience of the supply chain as dual objective functions. Parameter-tuned non-dominated sorting genetic algorithm-Π (NSGA-Π) algorithms were used innovatively to solve the project case, and the impacts of the redundant inventory coefficient and back-up supplier supply price coefficient on the model result were analyzed. The results indicate that the supply chain with resilience construction has a superior capability to cope with disruption. The results show that when there is a mild supply disruption, the general contractor uses the capacity within the supply chain and chooses a redundant inventory strategy to restore resilience. In the event of moderate disruption, both the easy inventory strategy and back-up supplier strategy are selected to maintain supply chain stability. In the event of a severe disruption, only the back-up supplier strategy is selected to cover the losses and maintain the project schedule. In addition, the choice of resilience strategy is impacted by the inventory levels and component prices of back-up suppliers. It further verifies the effectiveness of the model and the impacts of uncertain parameters in the model on the results. This study contributes to enhancing the resilience management of the prefabricated building supply chain by the general contractor, thereby elevating the overall efficiency and competitiveness of the supply chain and furthering the sustainable development of prefabricated buildings.

Suggested Citation

  • Yanyan Wang & Tongtong Wang & Wenjing Cui & Guangqiang Zhou & Huajun Liu, 2024. "Selecting Resilient Strategies for Cost Optimization in Prefabricated Building Supply Chains Based on the Non-Dominated Sorting Genetic Algorithm-Ⅱ: Facing Diverse Disruption Scenarios," Sustainability, MDPI, vol. 16(14), pages 1-24, July.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:14:p:6256-:d:1440352
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    References listed on IDEAS

    as
    1. Sudhanshu Joshi & Manu Sharma & Banu Y. Ekren & Yigit Kazancoglu & Sunil Luthra & Mukesh Prasad, 2023. "Assessing Supply Chain Innovations for Building Resilient Food Supply Chains: An Emerging Economy Perspective," Sustainability, MDPI, vol. 15(6), pages 1-21, March.
    2. Chih-Hung Hsu & Ming-Ge Li & Ting-Yi Zhang & An-Yuan Chang & Shu-Zhen Shangguan & Wan-Ling Liu, 2022. "Deploying Big Data Enablers to Strengthen Supply Chain Resilience to Mitigate Sustainable Risks Based on Integrated HOQ-MCDM Framework," Mathematics, MDPI, vol. 10(8), pages 1-35, April.
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