Addressing schedule disruptions in business processes of advanced logistics systems

Abstract

Large-scale logistics systems operate under uncertainties of schedule, cost, environmental impacts, reliability, and others rendering it critical for system operations to consider emergent and future conditions involving markets, technologies, environment, and organizations. Business process modeling is used widely to document the activities of an enterprise. Successful analysis of business processes requires explicit accounting for and evaluation of sources of potential disruptive risk. Previous research in the journal integrated risk identification to business process models. This paper creates a framework that evaluates the schedule disruption potential of identified sources of risk in logistics systems with the modeling of the associated business processes. The framework is demonstrated on a scheduling process at a marine container port. The methods first described in this paper should be integrated to software applications that diagram and analyze business processes of large-scale systems.