Maritime Supply Chain Optimization by Using Fuzzy Goal Programming

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