Resilience Analysis of Multi-modal Logistics Service Network Through Robust Optimization with Budget-of-Uncertainty

Paper: arXiv 2405.12565

Authors: Yaxin Pang, Shenle Pan, Eric Ballot

Abstract

Supply chain resilience analysis aims to identify the critical elements in the supply chain, measure its reliability, and analyze solutions for improving vulnerabilities. While extensive methods like stochastic approaches have been dominant, robust optimization-widely applied in robust planning under uncertainties without specific probability distributions-remains relatively underexplored for this research problem. This paper employs robust optimization with budget-of-uncertainty as a tool to analyze the resilience of multi-modal logistics service networks under time uncertainty. We examine the interactive effects of three critical factors: network size, disruption scale, disruption degree. The computational experiments offer valuable managerial insights for practitioners and researchers.

Complexity vs Empirical Score

• Math Complexity: 6.5/10
• Empirical Rigor: 5.5/10
• Quadrant: Holy Grail — high math complexity, high empirical rigor

Why this score: The paper provides a solid mathematical formulation using robust MILP with a budget-of-uncertainty framework applied to multi-modal logistics resilience. While the experimental section relies on computational simulations rather than deep empirical financial data, the methodology is well-structured and clearly presented.

Research Flowchart

  flowchart TD
    A[Research Goal: Analyze Multi-Modal Logistics Network Resilience under Time Uncertainty] --> B[Inputs: Network Size, Disruption Scale & Disruption Degree]
    B --> C[Methodology: Robust Optimization Model with Budget-of-Uncertainty]
    C --> D[Computational Experiments & Sensitivity Analysis]
    D --> E[Key Outcomes: Identification of Vulnerabilities & Managerial Insights for Logistics Resilience]

Cited References (15)

1. Robust Optimization for Perishable Product Distribution under Uncertainty of Multimodal Transportation Services (2023)
2. Data-driven static and dynamic resilience assessment of the global liner shipping network (2023)
3. Full-time scale resilience enhancement strategies for an integrated electricity-gas-transportation coupled system (2023)
4. Resilience modeling and pre-hazard mitigation planning of transportation network to support post-earthquake emergency medical response (2023)
5. An integrated resilience assessment model of urban transportation network: A case study of 40 cities in China (2023)
6. Resilience analysis of maritime transportation systems based on importance measures (2021)
7. Integrated production–distribution planning in two-echelon systems: a resilience view (2017)
8. Optimal distribution (re) planning in a centralized multi-stage supply network under conditions of the ripple effect and structure dynamics (2014)

0 of 15 cited works are in the corpus; resolved via arXiv source bundles, Semantic Scholar and OpenAlex. Corpus-wide: 2518 linked papers.