Selection of Kri Hardepo Priorities Using the Fuzzy MCDM Methods (original) (raw)

Determination of Maintenance Priority Indonesian Navy Ship Depo Level Using Fuzzy MCDM

JOURNAL ASRO, 2018

The Indonesian Navy as a defense and security force of the sea has combat tools and supporting facilities projected in the Integrated Fleet Weapon System (Sistem Senjata Armada Terpadu/SSAT) with several components including Indonesian navy ships, marines, aircraft and bases. Depo level maintenance is comprehensive maintenance that can only be carried out by personnel who are experts in their field and supported by complete and sophisticated equipment and facilities. Maintenance at this level includes complete overhaul repairment, repowering MLM (mid life modernization), calibration of all equipment, and repairs to all parts thoroughly. Depo Level Maintenance is the nature of maintaining technical conditions based on rotary hours. If the repair schedule specified in the SPT (System for Planned Maintenance), the schedule must be carried out. This research aimed to present a priority setting solution in Depo level maintenance wherein the highest Indonesian Navy Ship ranking is determi...

An Analysis on Kri Improvement Project in Indonesian Naval Main Base No. V Surabaya Fasharkan (Navy’s Battleships Maintenance and Repairing Facilities Using Fuzzy Fmea Method

JOURNAL ASRO, 2019

The FMEA method is a tool used to identify the consequences or consequences of a system or process failure and reduce or eliminate failure. In determining risk factors and system improvement priorities, traditional FMEA still has weaknesses, where FMEA traditionally places severity factors, occurrence, and detection at the same level of importance, even though in reality different levels of importance and the importance of FMEA assessment teams are ignored. In this study, the fuzzy method is integrated into FMEA where the severity factor, occurrence, and detection are assessed in linguistic form. In this fuzzy method, the weight of the interests of the FMEA assessment team is taken into account to do ranking and repair priorities. The application of Fuzzy methods to FMEA to determine significant risk factors and prioritizing improvements from various alternatives chosen for the process of repairing KRI in Surabaya Lantamal V, so that it is expected that the application of t...

Formulating Kri Maritime Security Capability Using Fuzzy Weighting

JOURNAL ASRO, 2019

KRI or Indonesian Navy warships has very significant role in maintain the maritime security and uphold the law on Indonesian waters. In order to deploy their KRI, TNI AL needs to measure their KRI Maritime Security (KAMLA) capability. This paper aim is to provide a formula that express KAMLA capability of a KRI out of 3 criterions (sensors, weaponry & Platforms) and 9 sub criterions. Fuzzy Weighting method has been used to derived 4 expert preference into formula of criterion weight. The result is KC = 0,45 S + 0,23 W + 0,32 P. Further work still need to do develop the formula into more detailed criterion.Keywords: KRI, Maritime Security, Fuzzy Weighting

Model Selection of Kri Change of Development to Support the Main Tasks of Third Fleet Using the MCDM Integration Method

JOURNAL ASRO, 2021

Third Fleet is the Main Command of the Indonesian Navy as Operation City which is tasked with carrying out defense and security operations of the maritime dimension by securing the territorial waters of eastern Indonesia. The operation in these waters is faced with the vulnerability of frequent violations, geological conditions consisting of thousands of islands and shallow straits, extreme weather and also with limited state defense budget conditions. Therefore, it is very necessary to have a KRI that is right and ready to face these challenges and obstacles so that the goals of the organization can be achieved. The purpose of this study was to analyze the criteria and determine the type of KRI needed in accordance with the conditions in Third Fleet. This study uses an integration between the Delphi method and the AHP method. The results of this study are expected to be input and consideration for the leadership of the Indonesian Navy. The next 299 are fast boats with a weight valu...

Modeling of Koarmada Marine Operations II Based on the Threat Prediction from Intelligence with a Multi Criteria Decision Making Approach

JOURNAL ASRO

Indonesia as archipelagic country, needs strong maritime sector security. The Indonesian Navy in Law Number 34 Year 2004 has been given the mandate to safeguard the sovereignty of the Republic of Indonesia. The Armada II Command as Kotamaops annually carries out Military Operations Other Than War (OMSP) which is carried out under the command of Guspurla and Guskamla. Intelligence information regarding the estimated threat / contingency that will occur is very influential on decision makers in operational planning. With the contingency provided by the intelligence staff, it is necessary to have an appropriate marine operation modeling. In a multi-operation operation, it is necessary to have a supporting attribute, that is, a base ship. The purpose of this study is to formulate an operation modeling using the selection of a headquarter ship which is preceded by the determination of contingency priorities. This study uses MCDM which consists of MCDA and MCDO which uses the integration ...

A Fuzzy MCDM Framework for Weapon Systems Selection

Advances in Logistics, Operations, and Management Science, 2019

The weapon system selection problem is a crucial issue for military logistics managers and decision makers. In most real-world cases, such critical selection problems include many alternatives, and those alternatives have to be assessed with respect to multiple criteria. In this chapter, the use of multi-criteria decision making (MCDM) approaches to tackle the weapon selection problem is discussed. Next, a fuzzy MCDM framework that is based on the hierarchical fuzzy technique for order preference by similarity to ideal solution (HFTOPSIS) method is proposed to solve the problem. The proposed approach is capable of incorporating both crisp and fuzzy data. The authors demonstrate the performance of the proposed methodology on a missile system selection problem which incorporates fuzzy environment elements.

A New Approach to Military Decision Making Process: Suggestions from MCDM Point of View

2015

Decision making process is a systematic way of problem solving for any scientific research area. The military decision-making process (MDMP) is a proven analytical process for designing operations, troop’s movements, logistics or air defense planning. MDMP is a way of army’s analytical approach to problem solving. This paper investigates the current use of MDMP and presents a new approach to MDMP from multi criteria decision making (MCDM) point of view.

DIBR–DOMBI–FUZZY MAIRCA Model for Strategy Selection in the System of Defense

Discrete Dynamics in Nature and Society

Strategic management has applications in many areas of social life. One of the basic steps in the process of strategic management is formulating a strategy by choosing the optimal strategy. Improving the process of selecting the optimal strategy with MCDM methods and theories that treat uncertainty well in this process, as well as the application of other and different selection criteria, is the basic idea and goal of this research. The improvement of the process of the aforementioned selection in the defense system was carried out by applying a hybrid model of multicriteria decision-making based on methods defining interrelationships between ranked criteria (DIBR) and multiattributive ideal-real comparative analysis (MAIRCA) modified by triangular fuzzy numbers–“DIBR–DOMBI–Fuzzy MAIRCA model.” The DIBR method was used to determine the weight coefficients of the criteria, while the selection of the optimal strategy, from the set of offered methods, was carried out by the MAIRCA meth...

Fuzzy Logic in Defense Management Activities

2020

Fuzzy conclusion is used in command and control systems, knowledge representation, decision-making support, approximation, construction of artificial neural networks, optimization which are widely used in military, economics and other fields [1-3]. Introduction of the program and project management methodology in the defense resource planning and management system allows to offer a new methodical approach. This approach is used for rationale of the ways of equipping military forces with armaments taking into account the cost of life cycle stages of armaments [4-5]. Given the fuzzy data on costs at each life cycle stage, the authors propose to apply the fuzzy logic to solve the scientific problem using modern software [6, 7]. At the planning stage in order to minimize the need for armaments acquisition and maximize the obtaining of capabilities the authors carried out modeling using the output linguistic variable of armaments utility (Fig. 1) [8-10]. Utility is a measure of ensuring that the subject (consumer) receives the supply of material resources (armaments) and is dependent on the need [11-13]. The fuzzy conclusion model uses the apparatus of logical operations according to the Mamdani algorithm. In doing so, the input cost estimates for alternative armaments and their utility values are calculated.