Reconfigurable Manufacturing Systems (RMSs) are a new paradigm of manufacturing able to customize its capacity and functionality when needed, to be reactive to market changes and uncertainties. In this paper, to take full advantage of the reconfigurability of RMSs, we propose a new approach using genetic algorithms and a simulation based optimization for process planning for a single product ty...

The reliability of machining accuracy is of great significance to performance evaluation and optimization design of the machine tools. Different geometric errors have various influences on the machining accuracy of the machine tools. The main emphasis of this paper is to propose a generalized method to distribute geometric accuracy of component for improving machining accuracy reliability under...

Manufacturing tolerancing is intended to determine the intermediate geometrical and dimensional states of the part during its manufacturing process. These manufacturing dimensions also serve to satisfy not only the functional requirements given in the definition drawing, but also the manufacturing constraints, for example geometrical defects of the machine, vibration and the wear of the cutting...

What if {a tourist, a train addict, Dr. Sheldon Cooper, somebody who likes to waste time} wants to visit all metro lines or carriages in a given network in a minimum number of steps? We study this problem with an application to the Parisian metro network and propose optimal solutions thanks to mathematical programming tools. Quite surprisingly, it appears that you can visit all 16 Parisian metr...

A major challenge in designing neural network (NN) systems is to determine the best structure and parameters for the network given the data for the machine learning problem at hand. Examples of parameters are the number of layers and nodes, the learning rates, and the dropout rates. Typically, these parameters are chosen based on heuristic rules and manually fine-tuned, which may be very time-c...

Tendency to optimization in last decades has resulted in creating multi-product manufacturing systems. Production planning in such systems is difficult, because optimal production volume that is calculated must be consistent with limitation of production system. Hence, integration has been proposed to decide about these problems concurrently. Main problem in integration is how we can relate pro...

This paper first provides a general introduction to Computer Aided Process Planning (CAPP). In second section, a brief review of Computational Intelligence (CI) applications in machining process planning and related methods and problems will be presented. The overall applications can be classified as knowledge representation, features extraction, part classification for group technology, machin...