we compare two approaches for a markovian model in flexible manufacturing systems (fmss) using monte carlo simulation. the model which is a development of fazlollahtabar and saidi-mehrabad (2013), considers two features of automated flexible manufacturing systems equipped with automated guided vehicle (agv) namely, the reliability of machines and the reliability of agvs in a multiple agv jobsho...

present research involves the complete simulation of pultrusion manufacturing process of glass/polyester composites. for that purpose, the curing process is divided to two liquid and gel-solid phases. the physical characteristics of the resin consist of specific heat, viscosity and coefficient of heat transfer changes with variations of temperature and increasing the degree of curing process (α...

We compare two approaches for a Markovian model in flexible manufacturing systems (FMSs) using Monte Carlo simulation. The model which is a development of Fazlollahtabar and Saidi-Mehrabad (2013), considers two features of automated flexible manufacturing systems equipped with automated guided vehicle (AGV) namely, the reliability of machines and the reliability of AGVs in a multiple AGV jobsho...

In our research, the simulation model driven engineering for manufacturing cell (SMDE-MC) is proposed. The purposes of SMDE-MC are to support the manufacturing engineering processes based on the simulation model and to extend the range of control applications and simulation applications using the PC based control. SMDE-MC provides the simulation model which controls and monitors the manufacturi...

Manufacturing systems can be very complex and are often costly to develop and operate. Simulation technology has been shown to be an effective tool for optimizing manufacturing system design, operations, and maintenance procedures. However, each manufacturing simulation is usually developed to address a specific set of industrial issues, and may only apply to a small portion of a complex manufa...

Implementing a highly flexible manufacturing approach, like mass customization manufacturing, demands an integrated design and simulation system. This system must be able to cope with difficult issues such as a high level of product variety, uncertainty in the product demand forecast, and the reconfiguration of manufacturing resources to support the introduction and integration of new manufactu...

Manufacturing Systems provide one of the most important applications of simulation. Simulation has been used successfully as an aid in the design of new production facilities and as well to evaluate suggested improvements to existing systems. There are many simulation tools available for simulating activities of manufacturing, however the today’s complex manufacturing situation demands for the ...

Abstract Effective management and possession of smoothly running design processes production, deliveries, is an integral part the modern enterprises. One main instruments planning production simulation modeling. New tools for digital support decision-making at systems. Modeling faster way finding correct solution in view generation exact forecasts, allowing to evaluate different alternatives. T...

machine-part family formation is one of major applications of group technology (gt). the machine cell formation problem in cellular manufacturing system (cms) involves the decomposition of the manufacturing system into machine cells. part families are identified such that they are fully processed within a machine cell. the problem of cell design is a very complex task with wide ranging implicat...

During mathematical simulation of real manufacturing system we can meet any type and rate model uncertainty. Its reasons can be incognizance of modelers or data inaccuracy. So, classification of uncertainties, with respect to they sources, distinguishes between aleatory and epistemic ones. The aleatory uncertainty is an inherent data variation associated with the investigated system or the envi...