This study proposes a novel network Data Envelopment Analysis (DEA) model to evaluate supply chain performance from both cost and revenue perspectives. Although DEA is a widely used method for evaluating the relative efficiency of decision-making units (DMUs) with multiple inputs and outputs, traditional DEA models encounter difficulties when applied to multi-stage systems involving intermediate products, such as supply chains. To overcome these challenges, we extend the well-established Range Adjusted Measure (RAM) to develop a customized network DEA model that effectively captures the internal structure of supply chains. Our model enables accurate efficiency evaluation across different production stages and offers valuable insights into inefficiency sources. A case example of global supply chain network is conducted, incorporating data from suppliers, factories, sales distributors, and customers across multiple regions. We conducted five distinct evaluation scenarios that reflect various strategic objectives and supply configurations. Through these scenarios, we analyze the performance of diverse supply chain structures, identify inefficiency factors, and explore decision-making strategies such as suggested sourcing of parts factories and selection of parts and assy factories. Furthermore, we compare the consistency and difference between the overall and the stage-level scores in each scenario, thereby demonstrating the necessity and effectiveness of our proposed model for evaluating supply chain efficiency. Consequently, the results indicate that the model not only evaluates performance but also supports strategic supply chain design and improvement.

@article{xuwang-2026-1731,
  title={Network DEA-Based Evaluation of Cost and Revenue Efficiency in Global Supply Chains},
  author={Xu  Wang and Qian  Huang and Shunichi  Ohmori and Takashi  Hasuike},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2026},
  volume={19},
  number={2},
  pages={322--338},
  doi={10.31387/oscm0650522}
}

Xu  Wang, Qian  Huang, Shunichi  Ohmori, Takashi  Hasuike (2026). Network DEA-Based Evaluation of Cost and Revenue Efficiency in Global Supply Chains. Operations and Supply Chain Management: An International Journal, 19(2), 322-338. https://doi.org/10.31387/oscm0650522