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There is significant amount of literature tackling different issues related to the port industry. The present chapter focuses on a single business unit of seaports aiming at the documentation of works related to container terminals.

An effort to review, collect and present the majority of the works present in the last 30 years, between 1980 and 2010, has been made in order to picture the problems dealt and methods used by the authors in the specific research field. To facilitate the reader, studies have been grouped under five categories of addressed problems (productivity and competitiveness, yard and equipment utilization, equipment scheduling, berth planning, loading/unloading) and four modelling methodologies (mathematics and operations research, management and economics, simulation, stochastic modelling).

The analysis shows that most works focus on productivity and competitiveness issues followed by yard and equipment utilisation and equipment scheduling. In reference to the methodologies used managerial and economic approaches lead, followed by mathematics and operations research.

In reference to future research, two fields have been identified where there is scope of significant contribution by the academic community: container terminal security and container terminal supply chain integration.

The present chapter provides the framework for researchers in the field of port container terminals to picture the so far works in this research area and enables the identification of gaps at both research question and methodology level for further research.

In a previous monograph a discussion took place on stages one and part of stage two of the three stage process in an unfair dismissal action, namely the employee having to show that he has been dismissed (stage one), and some of the reasons for dismissal which fall within the statutory categories, namely the employee's capability and qualifications; misconduct and redundancy (part of stage two). In this monograph an analysis is proposed on the two remaining reasons, these being the contravention of a duty imposed by an enactment and some other substantial reason. There will then follow a discussion on the test of fairness as constituting the third of the three stage process and on the remedies available when the tribunal finds that the employee has been unfairly dismissed.

The L‐map method is an innovative method for sequential machine state minimization. More specifically, the L‐map method consists of five steps. This method uses a portion of the partitioning method (step 1), and a portion of the implication table method (step 4). Steps 2 (eliminate singleton blocks), 3 (order non‐singleton blocks) and 5 (process the block implication table cells) are developed in this paper. The resultant method is more effective than both the partitioning method and the implication table method. The L‐map method is best illustrated by examples. In addition, 11 theorems are proven with illustrative examples. The advantages of this method over the partitioning method and the implication table method are stated. Furthermore, an algorithm which has four steps for finding the shortest input sequences for separating all pairs of distinguishable states using the L‐map method is developed. Illustrative examples are given to demonstrate this algorithm. The results obtained in this may have useful applications in logic design, computer design, as well as VLSI design.

Examines the situation in the UK in some detail with regard to three aspects of the Charter of Fundamental Human Rights of the European Union. Looks at the aims, together with an analysis and appraisal. Considers, first, information and consultation rights with regards to the transfer of undertakings and redundancies, followd by the right to collective action and, lastly, protection in the event of unjustifiable dismissal. Presents case law throughout as examples. Concludes that the UK has attempted to prevent social and economic rights for workers from being included in the final charter despite fierce opposition. Compares this view together with the UK suspicion of Europe against the views of the other member states.

Catastrophe (CAT) events associated with natural catastrophes and man-made disasters cause profound impacts on the insurance industry. This research thus reviews the impact of CAT risk on the insurance industry and how traditional reinsurance and securitized risk-transfer instruments are used for managing CAT risk.

This research reviews the impact of CAT risk on the insurance industry and how traditional reinsurance and securitized risk-transfer instruments are used for managing CAT risk. Apart from many negative influences, CAT events can increase the net revenue of the insurance industry around CAT events and improve insurance demand over the post-CAT periods. The underwriting cycle of reinsurance causes inefficiencies in transferring CAT risks. Securitized risk-transfer instruments resolve some inefficiencies of the reinsurance market, but are subject to moral hazard, basis risk, credit risk, regulatory uncertainty, etc. The authors introduce some popular securitized solutions and use Merton's structural framework to demonstrate how to value these CAT-linked securities. The hybrid solutions by combining reinsurance with securitized CAT instruments are expected to offer promising applications for CAT risk management.

The authors introduce some popular securitized solutions and use Merton's structural framework to demonstrate how to value these CAT-linked securities. The hybrid solutions by combining reinsurance with securitized CAT instruments are expected to offer promising applications for CAT risk management.

This research reviews a broad array of impacts of CAT risks on the (re)insurance industry. CAT events challenge (re)insurance capacity and influence insurers' supply decisions and reconstruction costs in the aftermath of catastrophes. While losses from natural catastrophes are the primary threat to property–casualty insurers, the mortality risk posed by influenza pandemics is a leading CAT risk for life insurers. At the same time, natural catastrophes and man-made disasters cause distinct impacts on (re)insures. Man-made disasters can increase the correlation between insurance stocks and the overall market, and natural catastrophes reduce the above correlation. It should be noted that huge CAT losses can also improve (re)insurance demand during the postevent period and thus bring long-term effects to the (re)insurance industry.