The event-scheduling view of the discrete-event simulation technique is widely used to model and simulate dynamic systems. This paper presents DMOD, a formalization of this technique. It ooers two main advantages. First, it retains the powerful intuitions behind this technique yet makes it easier to use them. In particular, it proposes a new method for logically specifying event preemption. Sec...

Multi-criteria scheduling optimization with genetic algorithms is described. Scheduling optimization methodology provides the planner with a quick and efficient scheduling method and enables him/her to experiment and decide which of the suitable solutions will become the production plan. The scheduling system is composed of a business information system a database, a discrete event simulation m...

Evaluation of scheduling algorithms for distributed environments is a complex task that involves simulation of computation resources, interconnection network, users and generated workload. Multiple discrete event based simulators are developed that tackle different aspects of distributed systems in order to ease that task. In this paper we address the simulation of computer clusters that are th...

Accurately predicting the required spatial resource for aggregate block assembly in shipyard production is difficult due to the following reasons: 1) lack of optimal block on-jig configuration and 2) the dynamic and stochastic nature of production system. Consequently, managerial objectives are seldom achieved without effective production planning and control. In this study, a look-ahead schedu...