Providing a greenhouse gas emissions perspective based on the characteristics of perishable products has made the cold chain an important topic. This paper develops a mixed integer nonlinear programming routing-location model to improve the cold chain logistics network design within the Balanced Score Card (BSC) pillars by maximizing the customer satisfaction and minimizing unit cost and greenhouse gas emissions in order to solve the optimization problem of the marine product distribution logistics system. Seven different costs are considered to deal with the characteristics of the cold chain logistics industry. An uncertain routing-location problem has been analyzed, as well as Methane and Nitrogen Oxide emissions. On the other hand, BSC has been utilized to evaluate the performance of the organization. This paper presents a mathematical optimization model for reducing system costs and evaluating system performance based on BSC, while accounting for greenhouse gas emissions and uncertainty in problem parameter values. The desired model has subsequently been solved using the BARON solver. Due to its consideration of seven types of costs, the proposed model is able to assess the costs of the cold chain logistics system with greater precision, as demonstrated by the findings of this study. In addition, these results indicate that a rise in customer satisfaction raises the overall system’s expenses, but increases customer loyalty. The proposed model assists supply chain managers in selecting the optimal number of distribution centers and the most efficient routes to reduce overall system costs. They can attempt to protect the environment by establishing a relationship between customer satisfaction and greenhouse gas emissions, such as carbon dioxide, methane, and nitrogen oxide.

根据易腐产品的特点提供温室气体排放视角，使冷链成为一个重要的话题。本文开发了一种混合整数非线性规划路线定位模型，通过最大化客户满意度和最小化单位成本和温室气体排放来改进平衡计分卡（BSC）支柱内的冷链物流网络设计，以解决优化问题水产品配送物流系统。针对冷链物流行业的特点，考虑了七种不同的成本。分析了不确定的路线位置问题以及甲烷和氮氧化物排放。另一方面，平衡计分卡已被用来评估组织的绩效。本文提出了一种基于平衡计分卡（BSC）的数学优化模型，用于降低系统成本并评估系统性能，同时考虑温室气体排放和问题参数值的不确定性。随后使用 BARON 求解器求解了所需的模型。正如本研究的结果所证明的那样，由于考虑了七种类型的成本，所提出的模型能够更精确地评​​估冷链物流系统的成本。此外，这些结果表明，客户满意度的提高会增加整个系统的费用，但会提高客户忠诚度。所提出的模型可帮助供应链管理者选择最佳数量的配送中心和最有效的路线，以降低总体系统成本。