Most shipyard companies maintain efficiency in all aspects of their business to survive. One of these aspects is ship production costs and their reduction. This study proposes a solution to this problem using an optimization method. A hatch cover composed of plates and stiffeners was selected as a case study. In this study, the mass and material cost of the hatch cover was optimized as an objective function using the Pareto approach with developed optimization methods. Plate thickness t, stiffener shape s, and plate material type m were selected as the design variables in this study along with some constraints. To estimate the optimal plate thickness, an expression of stress equations was developed using an optimization technique. Furthermore, stiffener shape and plate material type selection were optimized using a genetic algorithm (GA). The results show that the optimization method is effective to decrease the mass and material cost of a hatch cover.

Keywords:
freight & logistics services, artificial intelligence, drilling fluid chemistry, drilling fluid property, drilling fluids and materials, upstream oil & gas, fluid loss control, drilling fluid formulation, objective function, stiffener shape
Subjects:
Drilling fluid selection and formulation (chemistry, properties), Drilling Fluids and Materials, Information Management and Systems
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