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The paper describes the possible roles of the simulation and emulation in production planning and scheduling as well as in production control systems through a case study for optimizing the internal logistic system of a given production system. The study focuses on the control of a transportation unit and automated storage and retrieval system. A complex(More)
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(More)
The paper presents an integrated production planner and job shop scheduler system with flexible modeling capabilities and powerful, scalable solution methods. The system generates close-to-optimal production and capacity plans on the medium term, and detailed production schedules on the short-term. However, t he constraint-based, deterministic scheduling(More)
The paper gives a review of the literature related to the stability measures and describes a new concept with exhaustive simulation results. Predictive production schedules are calculated by a scheduler based on a genetic algorithm, hybridized with a modified Giffler&Thompson algorithm. By applying the proposed sched-uler and executing the resulted(More)
In the paper, a simulation-based technique is focused on that defines the boundaries and components of a reconfigurable assembly system according to historical order-streams. Fluctuating production volumes and " end-of-life-cycle " products require frequent revisions of the production structure applied, in order to gain production space and to level between(More)
The paper tackles the problem of managing the uncertainties during the execution of predictive schedules in a dynamic environment. The dynamic environment in question is represented by a simulation model – connected to a production scheduler system – with flexible modelling capabilities. The paper addresses the simulation module of the proposed architecture(More)
One of the most widespread techniques to evaluate various aspects of an existing manufacturing system is discrete-event simulation (DES). However, building a simulation model of a manufacturing system needs great resource expenditures. Automated data collection and model buildup can drastically reduce the time of the design phase as well as support model(More)