New Accommodation Work Barge Selection for Offshore / Swamp Lifting and Dredging Operation by Using Analytic Network Process (ANP)

Irdiansyah, Hengki (2018) New Accommodation Work Barge Selection for Offshore / Swamp Lifting and Dredging Operation by Using Analytic Network Process (ANP). Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

CST organization is one of PHX department that is responsible for all construction support for all operation in PHX that have 4 (four) sites at swamp area and 5 (five) sites at offshore area. For 2018, there are 57 (fifty seven) new wells at 42 (fourty two) different locations that shall be drilled by PHX as operator. It is currently lack of supporting fleet to perform those planning. CST department need to decide whether the new Accommodation Work Barge (AWB) to built or not with considering all criteria within company entities and stakeholders which affecting each other in the value chain (interdependence). In order to facilitate the human decision making of CST department which involves several dependence criteria and conflicting intererest, the methodology that used for criteria definition is literature review and expert discussion. Decision Making Trial & Evaluation Laboratory (DEMATEL) method used first to verified criteria interrelation and ANP used as a multiple criteria decision making method. There are 8 (Eight) criteria that used for decision making which are Operational Safety, Operation Maintenance Cost, Fuel Cost, Availability of Supporting Fleet, Market Condition, Exchange Rates, Operating Environment, and Contract Type and Option. The selected option for the new AWB development for lifting and dredging operation is the alternative to either built new AWB or not.

Item Type: Thesis (Masters)
Additional Information: RTMT 658.403 Ird n
Uncontrolled Keywords: Accommodation work barge, Offshore, Swamp, Construction, ANP, DEMATEL, Delphi
Subjects: A General Works > AI Indexes (General)
A General Works > AI Indexes (General)
Divisions: 61101-Magister Management Technology
Depositing User: Irdiansyah Hengki
Date Deposited: 07 Oct 2020 01:58
Last Modified: 07 Oct 2020 01:58
URI: https://repository.its.ac.id/id/eprint/59546

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