Fuzzy goal programming has important applications in many areas of supply chain,
logistics, transportation and shipping business. Business management has complications, and there
exist many interactions between the factors of its components. The locomotive of world trade is
maritime transport and approximately 90% of the products in the world are transported by sea.
Optimization of maritime operations is a challenge in order to provide technical, operational and
financial benefits. Fuzzy goal programming models attract interests of many scholars, therefore the
objective of this paper is to investigate the problem of minimization of total cost and minimization of
loss or damage of containers returned from destination port. There are various types of fuzzy goal
programming problems based on models and solution methods. This paper employs fuzzy goal
programming with triangular fuzzy numbers, membership functions, constraints, assumptions as
well as the variables and parameters for optimizing the solution of the model problem. The proposed
model presents the mathematical algorithm, and reveals the optimal solution according to satisfaction
rank from 0 to 1. Providing a theoretical background, this study offers novel ideas to researchers,
decision makers and authorities.