İnşaat sahaları için otonom depolama yönetim sistemi önerisi.


Tezin Türü: Yüksek Lisans

Tezin Yürütüldüğü Kurum: Orta Doğu Teknik Üniversitesi, Türkiye

Tezin Onay Tarihi: 2019

Öğrenci: Melih Akca

Danışman: MEHMET KORAY PEKERİÇLİ

Özet:

Recently, with the popularity of high-rise buildings and skyscrapers, construction sites in the busy city environments have shrunk in terms of available area, and as a result, temporary facilities such as storage spaces and workshops have been moved into the buildings under construction. Due to this the planning of such spaces and scheduling have become more important. While the management of workspaces, storage spaces, paths, and workshops in the site were traditionally carried out by the project managers or site managers according to construction process progress, it is now necessary to do so in accordance with construction schedule and plan. For these reasons, site management practice has emerged. Site management is important for preventing spatial conflicts and delays. In case of irregular spaces within the construction site, unnecessary labor and material losses arise and the duration of activities increase. Nowadays, the planning of temporary spaces to be established within the construction site is carried out at a larger scale. This research aims to minimize the material losses and the time spent for the transportation of materials by examining the storage areas in construction sites at a micro level. For this purpose, an optimization function has been developed for finding the optimal placement of the materials into the storage space. In the proposed system it is envisioned that the optimization data is transferred to the automated transportation robots in construction sites, and the labor cost and time spent for material transportation is reduced to a negligible level. In other words, in this study, a connection algorithm is created between the schedule and space planning tools and the transportation robots to create autonomous storage system in construction site and minimize material transportation time.