Yang Ming Marine Transport Corporation

About: Yang Ming Marine Transport Corporation is a based out in . It is known for research contribution in the topics: Fuzzy logic & Fuzzy classification. The organization has 7 authors who have published 11 publications receiving 118 citations.

Disentangling the Effects of Applicant Defensive Impression Management Tactics in Job Interviews

Abstract: This study explores (1) the effects that three kinds of applicant defensive impression management (IM) tactics (apologies, justifications, and excuses) have on interviewer evaluation and (2) the moderating effects that two types of interviewer negative concerns (competence-related and integrity-related concerns) have on the aforementioned relationship. Two hundred and one managers from Taiwan participated in this study by watching a simulated interview. Compared with the control group, applicants using defensive IM tactics received higher interviewer ratings when negative concerns surfaced. Moreover, the type of interviewer negative concern moderated the effects of defensive IM tactics. All three tactics had similar effects on interviewer evaluation when the concern was competence related. Apology was, however, the most effective tactic when the concern was integrity related.

Comparison of the operating performance of automated and traditional container terminals

Abstract: This paper explores key factors affecting the operating performance of container terminals, and compares the performance of various container yard (CY) facilities at the port of Kaohsiung using grey relational analysis (GRA) and the concept of entropy. The paper's findings can be summarised as follows: (1) The most important attributes affecting the operating performance of CY equipment include number of CY facilities, transport distance of CY tractors, speed of movement of CY facilities, handling efficiency of CY facilities, and number of working tractors. (2) Based on entropy weighting value and GRA, CY handling facilities can be ranked in terms of operating performance in the order of automatic rail transtainer, automatic stacking crane, rail transtainer, straddle carrier, and rubber tyred transtainer. (3) From both operating performance and green terminal perspectives, automatic rail transtainers represent the optimal CY model compared with other container handling facilities.

An application of centralized data envelopment analysis in resource allocation in container terminal operations

Abstract: This paper presents an application of centralized data envelopment analysis (CDEA) to analyse the performance of a number of container terminals supervised by one liner shipping company It provides a systematic and centralized perspective of resource reallocation based on one company’s perspective The numerical results show that two of the five dedicated terminals are, by and large, efficient, but the other three need resources to be reallocated Under the minor adjustment scenario, the liner shipping company should reduce the aggregated amount of the labour cost and the hauling equipment should be transferred to different terminals in America Under the major adjustment scenario, both the labour and hauling equipment could be reduced

Estimating Missing Values in Incomplete Additive Fuzzy Preference Relations

Abstract: In some occasions, decision makers may have to deal with the problems in which only partial information is available As a result, decision makers embody their preferences as incomplete fuzzy preference relations In this paper, we propose an iterative procedure to estimate the missing values of the incomplete fuzzy preference relations that are assumed to be additive The procedure is based on additive transitivity property Measures of consistency and completeness of an incomplete fuzzy preference are also developed to assist decision makers to identify the quality of their decisions

A Data Envelopment Analysis of Shipping Industry Bond Ratings

Abstract: Industrial corporate bonds have been assigned quality ratings since the early 1900s. Moody and Standard & Poors (S&P), two renowned ratings organizations assign ratings to a portion of new bonds issued each year. However, many businesses and industry leaders have doubts about the consequences of bond ratings. This paper attempts to build an objective and user-friendly bond ratings approach for the shipping industry and investors. Data envelopment analysis (DEA) is employed to evaluate the corporate bond ratings of Taiwan's shipping industry from 1997 to 2004, by applying two input variables (fixed assets and debt ratio) and two output variables (fixed assets turnover and times interest earned) as rating factors. The results show that 4 different bonds, in particular, have had relatively high ratings: ETITC's issue of bonds from 1998 to 2003, EVERGREEN's bond issue in 1996, and Yang Ming's bond issue in 2003, respectively. This paper also illustrates that ETITC and Yang Ming have paid more attention on reducing default risks and creating revenue competency during the given time period.