|M.Sc Student||Remennik Vadim|
|Subject||Principle Production Lines in Reconfigurable Manufacturing|
|Department||Department of Mechanical Engineering||Supervisor||Professor Emeritus Moshe Shpitalni|
During the early phases of manufacturing system development, manufacturers must not only choose machine specifications and vendors, but they also must select the best configuration for the system. System alternatives are assessed with respect to performance areas, such as productivity, quality, and cost, and also with respect to responsiveness issues, such as convertibility, scalability and routing flexibility. Trade-offs frequently exist between these various aspects of performance, so a comprehensive analysis is needed in order to select the best system and arrange it in the most preferred configuration. The machines within a manufacturing system can be arranged in many different configurations, such as serial, parallel, or hybrid, resulting in varying levels of system performance.
Given the requirements and the design space, multiple alternative system configurations may be generated that have to be evaluated in order to select the best among them. Simulation-based performance analysis is an indispensable method to accomplish such tasks, particularly for complex systems such as manufacturing systems which may not be analyzed appropriately by other methods. For systems with significant internal variability or those operating under variable conditions, performance is non-linearly and adversely affected. Performance plots such as cycle time and throughput or production rate plots are convenient way of capturing and summarizing the system dynamic performance, hence constituting a suitable method of systematic comparison. In this research, a simulation-based experiment is presented to compare systems with variability using their steady-state cycle time and throughput.