The increased availability of data and computer-aided technologies such as MRPI/II, ERP and MES system, allowing producers to be more adaptive to market dynamics and to improve production scheduling. Integration of production scheduling and computer modelling, simulation and visualization systems can be useful in the analysis of production system constraints related to the efficiency of manufac...

Multi-plant production planning problem deals with the determination of type and quantity of products to produce at the plants over multiple time periods. Hierarchical production planning provides a formal bridge between long-term plans and short-term schedules. A hybrid simulation-based hierarchical production planning architecture consisting of system dynamics (SD) components for the enterpri...

Parallel discrete event simulation is a useful technique to improve performance of sequential discrete event simulation. We consider the Time Warp algorithm for asynchronous distributed discrete event simulation. Time Warp is an optimistic synchronization mechanism for asynchronous distributed systems that allows a system to violate the synchronisation constraint and, in this case, make the sys...

The paper tackles the problem of managing uncertainties during the execution of predictive schedules in a dynamic environment. The dynamic environment in question is represented by a simulation model which constitutes a coherent part of a Digital Factory solution. The model is connected to an integrated production planner and job-shop scheduler system with flexible modelling capabilities and po...

This paper is intended as an introduction of the challenges that exist in the area of automatic simulation model generation in the production and logistics context. As a work-in-progress paper, it firstly analyzes and classifies previous work; it then introduces the most relevant challenges and lastly presents potential solutions currently being investigated by a PhD thesis. 1. MOTIVATION Simul...

It is still an open question in parallel discrete event simulation what conditions influence the performance of parallel simulation paradigms. We have developed a simulation environment based on asynchronous cellular automata that facilitates basic research into the concepts of discrete event simulation and parallel discrete event simulation, such as the Time Warp paradigm. We address the trans...

This paper describes a software enviroment devised to support parallel and sequential discrete-event simulation. It provides assistance to the user in issues such as selection of the synchronization protocol to be used in the execution of the simulation model. The software framework has been built upon the bulk-synchronous model of parallel computing. The well-defined structure of this model al...

This article describes the application of discrete event simulation in a process industry (coffee manufacturing) as a daily production-scheduling tool. A large number of end products (around 300), sporadic demand, and limited shelf life of coffee (90 days) make it difficult to generate feasible production schedules manually. To solve this problem, an integrated system was developed incorporatin...

It is still an open question in parallel discrete event simulation what conditions influence the performance of parallel simulation paradigms. We have developed a simulation environment based on asynchronous cellular automata that facilitates basic research into the concepts of discrete event simulation and parallel discrete event simulation, such as the Time Warp paradigm. We address the trans...