صف مدل سازی شبکه ای از سیستم تولید انعطاف پذیر با استفاده از میانگین تجزیه و تحلیل ارزش

In the present investigation, we develop queueing model for the performance prediction of flexible manufacturing systems (FMSs) with a multiple discrete material-handling devices (MHD). An iterative method has been suggested using mean value analysis (MVA) for the state-dependent routing. Two queueing network models are considered to determine the material-handling device interference. In the first one, we model the interference from the MHD by inflating the station service times but neglect queueing at the MHD. In another network, the queueing for the MHD is taken into consideration. The performance of FMS configuration is obtained by iterating between two networks. The suggested algorithms demonstrate better results than the algorithm used by earlier workers for single MHD. Some performance indices viz. throughput, mean service time, mean waiting time, etc. are obtained. Numerical results are provided to highlight the effect of the system parameters on performance indices, which are further evaluated by using neuro-fuzzy controller system to validate the tactability of soft computing approach.

With the objective of minimizing the total cost after a long run, considerable interest has been focused on the flexible manufacturing systems having multi-functional machines united together by a material-handling system known as a flexible manufacturing system (FMS). FMS can be defined like a group of numerically controlled machine tools under central computer control. The machine tools are attached together by material-handling system (MHS). The major components of FMSs are computerized numerically controlled machines (CNCs). The set of machine groups wherein each group has one or more identical CNCs such as washing machines, unload/load stations and a transportation system, etc. has one or several vehicles giving the structure of flexible manufacturing system (FMS). In real life, production line plays an important role to fulfill a desired demand in due time. With the increased competition in the marketing world, flexibility is essential for a manufacturing company. Mostly manufacturing system managers do not understand the significance of FMSs with a discrete material-handling device (MHD). The success or failure of managers in directing the production rate depends largely on his ability to understand the financial aspects of their jobs.