臺灣博碩士論文加值系統

UNCATD（2018年）以死重噸位計算，臺灣是世界船隊擁有權的第11個地區。然而，臺灣海事院校的畢業生不願從事上船出海工作（郭等人，2005年）。這一事件直接影響到艦長的補給，連帶影響船長和船長的供應（Lin等人，2001年）。Chung等人（2009年）提到，供求失衡導致無法招募國內船員，轉而招募外國船員。雇用本國及外籍船員可使臺灣商輪營運費用減少48.91%（方等人，2001年）。1994年，臺灣政府根據臺灣國家船東的號召，允許雇用外籍船員，以説明業界降低成本。

外籍船員的招募涉及重要因素的考慮。因此，它需要使用多標準決策 （MCDM）。根據以前發表的論文審查，研究人員發現了15（15）個因數，分為三組。基於這些因素，要求航運人力專家/經理評估前 5 個船員供應商國家/地區。使用一致的模糊偏好關係（CFPR）來評估每個因數的相對權重，因為它保證了對相對權重計算中至關重要的一致性屬性的滿足。然後，VIKOR方法在替代品的排名中採用，因為它在"接近"到理想解決方案的特定度量的基礎上引入了多標準排名指數。此方法側重于在存在衝突條件時對一組備選方案進行排名和選擇。 

UNCATD (2018) has ranked Taiwan as the 11th territory in terms of ownership of world fleet by dead-weight tonnage. However, Taiwanese graduates from maritime colleges prefer not to enter into seafaring (Guo et al, 2005). This event directly affects the supply of ship officers and indirectly affects the supply of masters and chief officers (Lin et al, 2001). Chung et al. (2009) mentioned that the imbalance of supply and demand led to being unable to recruit domestic seafarer leading to the recruitment of foreign seafarer. The employment of mixed seafarers could cut the operating expenses of Taiwan national merchant ship by 48.91% (Fong et al, 2001). In 1994, the government of Taiwan permitted the employment foreign seafarers due to the calls of Taiwan national ship-owners and in order to help the industry in cost reduction.

The recruitment of foreign seafarer involves the consideration of important factors. Thus, it requires the use of Multi-Criteria Decision Making (MCDM). Based upon the review previously published papers the researcher found out fifteen (15) factors categorized into three groups. Based on these factors, shipping manpower experts/managers was asked to evaluate the top 5 seafarer supplier country. Consistent Fuzzy Preference Relation (CFPR) was used to evaluate the relative weight of each factor because it guarantees satisfaction of consistency property which is vital in the computation of relative weights. Then, VIKOR method was used in the ranking of alternatives due to fact that it introduces multi-criteria ranking index on the bases of its particular measure of “closeness” to the ideal solution. This method focuses on ranking and selecting from set of alternatives in the presence of conflicting criteria.

Chapter 1 Introduction 01

1.1 Research Background 01
1.2 Research Motivation 03
1.3 Research Purpose 04
1.4 Research Framework 04
1.5 Research Concept 07
1.6 Research Process 09
1.7 Scope and Limitation 12

Chapter 2 Literature Review 13

2.1 The Global Maritime Industry 13
2.2 Global Seafarer 18
2.3 Taiwan Shipping 23
2.4 Factors in the Selection of Foreign Seafarers 24

Chapter 3 Integration Process for
Multicriteria Decision Making 36

3.1 Relative Weight of Criteria 37
3.1.1 Consistent Fuzzy Preference Relation 37
3.2 Ranking of Alternative 40
3.2.1 VIKOR 40
3.3 T-test for independent means 44
3.4 Data Instrument 45
3.5 Questionnaire Design 45
3.6 Data analysis plan 45

Chapter 4 Selection of Foreign Seafarer Supply-country for
Taiwanese ships 47

4.1 Comparative analysis of data between the
Evergreen and Yangming Experts 51
4.1.1 CFPR comparative analysis 51
4.1.2 Comparative analysis of VIKOR 56
4.2 Overall analysis of data 61
4.2.1 Overall priority weights after CFPR 63
4.3 VIKOR 70

Chapter 5 Conclusion, Implications, Limitations and Suggestions 75
5.1 Conclusions 75
5.2 Implications 78
5.3 Limitations and future researches 79

References 81
Appendix 1 Research Questionnaire 85

Alias, F.M, Abdullah, L., (2017). “Consistent Fuzzy Preference Relation Method and Its Application to Criteria Assessment of Quality of Life Among Population of Setiu Wetlands”. Discovering Mathematics, Vol. 39, No. 2, 52-60.

Bhattacharya, Yogendra (2015). “Employee Engagement as a Predictor of Seafarer Retention : A Study among Indian Officers”. The Asian journal of shipping and logistics, Vol. 31, Number 2, pp. 295-318.

Chaur-Luh Tsai, Yan-Wei Liou, (2017) "Determinants of work performance of seafarers", Maritime Business Review, Vol. 2 Issue: 1, pp.36-51.
Chen, Yueh-Hsiang, Chao, Ru-Jen, (2012). “Supplier Selection using consistent fuzzy preference relations”. Experts systems with applications, 39 (2012) 3233-3240.

Chung, C.C., Han, T.C., Lu, S.J. (2009) “Analyses of Employment Costs for Shipping Companies’ Domestic and Foreign Seafarers”. Proceedings of the Eastern Asia Society for Transportation Studies, Vol. 7, 2009.

Eric Romelczyk & Austin Becker (2016). “Missing the tide? Workplace cultural differences as a barrier to seafarer mobility in the U.S. workboat and sail training sectors”. Maritime Policy & Management

Fan, L. D., et.al. (2017). “The communicative competence of Chinese seafarers and their employability in the international maritime labour market”. Marine Policy, 83 (2017), 137-146.

Fan, L.D., et.al., (2018) “An empirical study on the communicative competence of Chinese seafarers”. Marine Policy, 87 (2018) 65-71.

Fong, C.M., Chung, C.C. and Yuan, C.Y. (2001). “The impact of ship registry toward ship-owners’ operational costs”. Proceedings first international shipping and management conference, China College of Marine Technology and Commerce, Taipei, R.O.C., 21-33.

Glen, David (2008). “What do we know about the labour market for seafarers? A view from the UK”. Marine Policy, 32 (2008)845-855.

Guo, Jiunn-Liang, et. al., (2005). “Impacts of seafaring diversity: Taiwanese ship-officers’ perception”. Journal of the Eastern Asia Society for transportation studies. Vol. 6. Pp. 4176-4191.

Guo, J.L., Yuan, C.C. and Lin, M.C. (2004). “An analysis toward the current manpower supply of ship officers in Taiwan”. Marine Technology, No. 114, 1-8.
Herrera-Viedma, E., et. al., (2002) “Some issues on consistency of fuzzy preference relations”. European Journal of operational research, 154 (2004) 98-109.

Ioannis Tsamourgelis (2009) “Selective replacement of national by non-national seafarers in OECD countries and the employment function in the maritime sector”. Maritime Policy & Management: The flagship journal of international shipping and port research, 36:5, 457-468.

Iyer, Gayathri “Mega-Ships in the Indian Ocean: Evaluating the Impact and Exploring Littoral Cooperation”, ORF Occasional Paper No. 204, July 2019, Observer Research Foundation.

Jan Horck (2004). “An analysis of decision-making processes in multicultural maritime scenarios”. Maritime Policy & Management: The flagship journal of international shipping and port research, 31:1, 15-29.

Ji-Feng Ding & Gin-Shuh Liang (2005). “The choices of employing seafarers for the national shipowners in Taiwan: an empirical study”. Maritime Policy & Management: the flagship journal of international shipping and port research, 32:2, 123-137.

Ding, J.F., Liang, G.S. and Yen, J.R. (2004). “Analyzing national shipowners’ and ship operators’ choices on domestic and foreign seafarers”. Journal of the Chinese Institute of Transportation, Vol. 16, No. 1, 27-48.

Lin, C.T., Wang, S.M. and Chiang, C.T. (2001) “Manpower supply and demand of ocean deck officers in Taiwan”. Maritime Policy and Management, Vol. 28, No. 1, 91-102.

Lobrigo, E., Pawlik, T., (2015). “Maritime policy and the seafaring labour market”. WMU journal of maritime affairs, 14(2015), 123-139.

Lu, Shih-Tong & Kuo, Yao-Chen & Kao, Wan-Ting. (2019). Using the fuzzy multicriteria decision making approach for measuring the importance of risk factors in real estate investment.

Manpower Report: The global supply and demand for seafarers in 2015. Retrieved on March 03, 2019, from the World Wide Web: https://www.maritimeuk.org/media-centre/publications/global-supply-and-demand-seafarers-2015/

Mchugh, M.L., (2008) “Standard error: meaning and interpretation”. Biochemia Medica, Vol. 18, February, Issue 1, pp. 7-13.

Nguyen, T.T. et. al., (2014). “Current challenges in the recruitment and retention of seafarers: an industry perspective from Vietnam. The Asian journal of shipping and logistics, Vol. 30, Number 2, pp. 217-242.

Opricovic, S., Tzeng, G.H., (2002) “Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS”. European Journal of operational research, 156 (2004) 445-455.

Opricovic, S., 1998. Multicriteria Optimization of Civil Engineering Systems, Faculty of Civil Engineering, Belgrade.x`

Popa, Catalin & Filip, Nistor & Quansah, David & Reczey, Imre. (2016). “The seafarers’ human capital variables and the crew profile dynamic adjustment”. A conference presented as the SeaConf 2016, at Constanta, Romania, Vol. XIV.

Romelezyk, E. and Becker, A. (2016), “Missing the Tide? Workplace cultural differences as a barrier to seafarer mobility in the U.S. workboat and sail training sectors”, Maritime Policy and Management

Silos, J.M., et. al., (2012). “Trends in the global market for crews: A case study”. Marine Policy, 36 (2012) 845-858

Michelle Thomas , Helen Sampson & Minghua Zhao (2003). “Finding a balance: companies, seafarers and family life, Maritime Policy & Management: The flagship journal of international shipping and port research, 30:1, 59-76 .

Tsamourgelis, I. (2007). “Employment Practices and Greek Shipping Competitiveness”. Research in transportation Economics, Vol. 21, 121-170.

UNCTAD Review on Maritime Transport 2018. Retrieved on March 03, 2019, from the World Wide Web: https://unctad.org/en/PublicationsLibrary/rmt2018_en.pdf

Wang, Ying, Yeo, Gi Tae, (2016). “The selection of a foreign seafarer supply country for Korean flag vessels”. The Asian journal of shipping and logistics, 32 (2016), 221-227.

Wu, B., Winchester, N., (2005). “Crew Study of Seafarers: a methodical approach to the global labour market for seafarers”. Maritime Policy 29 (2005), 323-330.