The model is constructed based on the real-world process descriptions, and is calibrated and validated based on empirical data. In this paper, an agent-based model for simulating the port nautical services in the Port of Rotterdam is presented. The ability to model the deep-sea ship handling process is desired with the goal of what-if ex-ante scenario assessment. Large deep-sea ports are complex environments where different parties work together to handle ships. Based on the research, six categories of disruption became a concern when the port’s electricity supply stopped, i.e., decreased productivity, economic loss, reduced employee productivity, decreased numbers of customers, a decline in company reputation, and wasted energy. This paper takes a case study of BIA in a container terminal caused by electrical disruption. This paper aims to provide a perspective in deepening and adapting the BIA procedure initially general into an analysis that can be applied to the container terminal business. Until this article was conducted, there was still little literature explaining the business impact analysis procedures with case studies of disruptions in container terminals related to operational constraints. The impact related to the economic aspect is generally caused by disruptions resulting from natural disasters, pandemics, and human activities (terrorists, labor issues, and lockouts). In sustainability and business impact research, the economy is one of the prioritized aspects of impact analysis. Many studies have recently examined the use of business impact analysis (BIA) when disruption happens at a container terminal. Based on these essential functions, container terminals often reflect the economic conditions in a country. The results of the simulation rather than guarantee an optimum policy solution, would offer decision makers the ability to view the structure of a port system and the functions that the stakeholders have under various "what if" analyses.Ī container terminal is a facility used to collect containers from the hinterland and ports for distribution to the end destination. The development of a state-of-the-art, MABS of SRM would be the basis for a decision-support system. This paper aims to describe an approach (supported with MAS-CommonKADS) enabling decision makers to simulate various port policies and analyze the multitude of "what if" scenarios.
The MABS approach has been applied to other areas of policymaking (Downing, 2000) and could be used to evaluate Stakeholder Relations Management (SRM) by modeling and simulating the different stakeholders in a port system. Simulation tools, in particular those using the Multi Agent Based Simulation (MABS) approach, may help to structure and better understand the relationships within complex organizations. This lack of information often results in ad hoc positions of port managers vis-à-vis stakeholders in the port community. Decision makers in port management have very few means of evaluating the stakeholder relationships and entities involved with port systems. Stakeholder Relations Management (SRM) provides port management a means to consider stakeholders' interests in issues related to sustainable port development and management (Notteboom and Winkelmans, 2002).
Port policies are in some cases formed from idealized perspectives and market factors, with very little attention or understanding to stakeholder strategies. Port management is often faced with many vexing problems that are complex and difficult to define.