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This paper proposed a new model referred as Life Jacket Compatibility Index Static Model (LCI). The reason for the development of this model was due to accidents associated with the usage of life jackets on board the passenger vessels. This new model was developed based on the combination of variables of models of life jacket and passenger vessel. These models were combined by compatibility, which is a new variable introduced in the study. The algorithm of the model is developed based on Fault Tree Analysis and Boolean Logic Gate. The purpose of the model is to rate the safety of coastal passenger vessels in the perspective of compatibility of life jackets with the coastal passenger vessel, which is a new perspective on safety assessment of passenger vessels. Another purpose of the model is to determine the maximum capacity of passenger based on available area to don the life jackets, which is also a new perspective to determine the maximum capacity of passengers. The model can be used by the maritime authority to regulate the safety operation of the coastal passenger vessels. The introduction of LCI model contributes to a new method of assessment of passenger vessels in the field of maritime safety.

Rapid development of shipbuilding and ship repair industry in recent years has been increasingly transforming the way organizations apply the long term strategic thinking of "cradle to grave" maintenance approach in order to maximize their growth in a dynamic marine industry. With increased ship complexity, size and revolutionary design, organizations strive to balance ideal maintenance philosophies against on-going efforts of cost reduction whilst maintaining high availability of vessels. Despite aspiration and efforts to improve the ship availability, the Royal Malaysian Navy [RMN] vessels which are currently maintained under the In Service Support [ISS] Contracts are hardly tackling the human and equipment related aspects due to limited knowledge and available data on ship Downtime Influence Factors [DIFs]. The current research carried out an explorative study across various engineering disciplines to generate RMN ship maintenance DIFs and their severity measures via a 3-Stage Modified Delphi approach. 30 Experts experienced in daily implementation of naval ship maintenance contracts were involved. In the first stage, Focus Group Discussions [FGDs] amongst Experts were conducted to produce the DIFs, followed by questionnaire distribution to measure the severity of the DIFs in the second stage. In the third stage, the Severe DIFs were confirmed and ranked based on a Risk Assessment method. The study revealed 50 DIFs to RMN ship availability and deduced the top 15 Severe DIFs pinpointing the key problem areas to prioritize efforts in improving RMN ship availability.

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Metodologi konvensional perancangan pembangunan terminal kontena kekurangan mod penghujahan manusia yang menggunakan anggaran, ketidakpastian, linguistik dan nilai–nilai subjektif. Kaedah fuzi boleh diaplikasikan ke atas kaedah sekarang untuk memperbaiki kelemahan tersebut. Kajian ini mengaplikasikan kaedah fuzi ke atas model perancangan pembangunan terminal kontena sekarang yang telah diperbaiki dengan memasukkan pemilihan sistem pengendalian kontena (chs) dan penentuan keluasan terminal yang lain (toa) ke keluasan tempat letak kontena (cpa), keluasan stesyen kontena (cfs), keperluan hari–himpitan (bdr) dan kos kapal di terminal (sct). Fungsi keanggotaan – fungsi keanggotaan telah diterbitkan untuk semua pemboleh ubah perancangan dan carta alir proses perancangan yang menunjukkan operasi fuzi dan tahap nyahfuzian telah dilakarkan. Simulasi latihan perancangan telah dilakukan ke atas chs dan cpa dan keputusan yang diperolehi menunjukkan bahawa pengaplikasian ini telah berjaya. Potensi menggandingkan kaedah ini dengan sistem pakar telah juga ditonjolkan. Kata kunci: perancangan fuzi, perancangan terminal kontena, membuat keputusan berbilang kriteria Conventional container terminal development planning methodology lacks the human modes of reasoning that uses approximate, imprecise, linguistic, and subjective values. Fuzzy methods could be applied to the current method to improve such shortcoming. This study applies fuzzy methods to a container terminal development planning model which has been improved by incorporating container handling system selection (chs) and determination of terminal other area (toa) to the current container park area (cpa), freight station area (cfs), berth–day requirement (bdr), and ship cost at terminal (sct). Membership functions have been derived for all the planning variables and planning process flowcharts showing fuzzy operations and defuzzification stages have been drawn. A simulated planning exercise has been performed on chs and cpa and the results obtained indicate that the application has been successful. The potential of coupling the method with an expert system has also been highlighted. Key words: fuzzy planning, container terminal planning, multi-criteria decision making