Journal Article

·2023 OPEN ACCESS

Dewatering Process for Reuse of Seabed Dredging Material and Time and Cost Optimization of the Process by Value Engineering Method

Cansu Kayabaşı Aksu YTU , Şenay Atabay YTU

Journal of Sustainable Construction Materials and Technologies

Abstract

The decrease in resources in the world has led people to produce new solutions for the more efficient use of resources and to use various management techniques. One of the techniques used is Value Engineering. Value Engineering strives to increase the value of structures by optimally organizing each component that makes up the structure. Increasing the value of a structure is possible by eliminating all the unnecessary costs in line with specific criteria and by providing the optimal solution between the owner, the user, and the contractor's objectives, that is, the duration, cost, and quality. This study includes the changes the Value Engineering team made to increase the value of the materials extracted from the submarine in a Container Port Terminal project without harming the environment and making them reusable. While expanding the project value, it also aimed to reduce the project duration and cost by considering the sustainability criteria. The original project was to create a clay pool while dewatering, separating the material, filling the loose sand into the reclamation area, and removing the sludge material by sea. With the recommendation of the value engineering team, the dewatering process was transformed into a method of directly pressing the dredged loose sand into the breeding area, filtering the material with geotextile tubes, and removing the material by loading it on the pontoons. With this change in the project, 42% savings were obtained from the cost and 21% from the project duration.

Keywords

Value engineering Reuse Duration (music) Dewatering Dredging Process (computing) Engineering Civil engineering Process engineering Waste management Operations management Computer science Geology Geotechnical engineering

Subject Areas

Management and Optimization Techniques ·Strategy and Management ·Social Sciences
Value Engineering and Management ·Strategy and Management ·Social Sciences
Edcuational Technology Systems ·Artificial Intelligence ·Physical Sciences