Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Automated/Controlled Storage for an Efficient MBOM Process in the Shipbuilding Managing the IoT Technology
Year:2018
Research Areas
  • Bussines data processing,
  • Robotics,
  • Computer assisted manufacturing,
  • Micro computer,
  • Programming language,
  • Information storage,
  • Downloading
Information
Abstract
Non automated/controlled warehouse sets a possible improvement point in several shipyards. Material arrives into shipyard in stock-trucks or ships, and it is randomly stored when a tight time is set. Material stock orders are saved in the Shipyard storage control System, but there are no link between orders and the real arrived material. MBOM production working orders are based in material available in warehouses, new arriving material sets an availability to start processing this order, but sometimes, MBOM material preparation request more time than expected. Setting an arrival sorting and tag process, with some special marking methods could help to improve material control, availability and processing for these MBOMs. This also increases the material availability time in the Shipyard Storage control System, but it reduces material processing for the next steps of the ship production. Another problem is that, in tight schedules, material collection could be too much, so extra material represents unnecessary purchases. Some material requires a three month request to be served to shipyard. This period gap sets a delay to adjust the real required material to the available in the shipyard, to avoid this delay impact, shipyards try to request in advance more material than real needs, in order workshops don't decrease their work-load. Second problem must be resolved using the CAD and PLM Systems in order to help engineers generating a fast-close- to-real material collection prevision, using special pre-collection of information and helping designers to improve the 3D model.
International
Si
Congress
Smart Ship Technology 2018
960
Place
Londres, United Kingdom
Reviewers
Si
ISBN/ISSN
978-1-909024-63-2
Start Date
23/01/2018
End Date
24/01/2018
From page
101
To page
106
Smart Ship Technology 2018
Participants
  • Autor: Arturo Benayas Ayuso (UPM)
  • Autor: Rodrigo Perez Fernandez (UPM)
Research Group, Departaments and Institutes related
  • Creador: Departamento: Arquitectura, Construcción y Sistemas Oceánicos y Navales (Dacson)
  • Grupo de Investigación: Grupo de Investigación Tecnológico en Energías Renovables Marinas. -GIT-ERM-
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
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