Bi-Objective Evaluation of System Reliability and Carbon-Emission Index for Budget-Allocation Multi-State Logistics Networks  
Author

Cheng-Fu Huang

 

Co-Author(s)

Yu-Xian Lin;  Ding-Hsiang Huang

 

Abstract To address the critical balance between service performance and environmental sustainability, this study develops a budget-allocation multi-state logistics network (B-MSLN) model. In the proposed B-MSLN, the capacity probabilities of each arc are linked to specific budget levels, so each feasible budget-allocation vector defines a distinct network configuration. A bi-objective evaluation framework is developed to maximize system reliability while minimizing the carbon-emission index, subject to a predefined budget constraint. System reliability is evaluated through d-MCVs and the recursive sum of disjoint products (RSDP) method. To provide a representative environmental assessment, the carbon-emission index is evaluated using the representative capacity vectors generated under each feasible budget-allocation vector. Finally, TOPSIS is applied under three scenario-based objective weights to identify the preferred feasible budget-allocation vector. The results demonstrate that this framework provides a practical decision-support basis for evaluating trade-offs between reliability and environmental sustainability under different managerial preferences.

 

Keywords Budget-allocation multi-state logistics network (B-MSLN), System reliability, Carbon-emission index, scenario-based objective weights, TOPSIS, Bi-objective evaluation
   
    Article #:  RQD2026-11
 

Proceedings of 31st ISSAT International Conference on Reliability & Quality in Design
August 5-7, 2026