In recent times flexible manufacturing systems emerged as a powerful technology to meet the continuous changing customer demands. Increase in the performance of flexible manufacturing systems is expected as a result of integration of the shop floor activities such as machine and vehicle scheduling. The authors made an attempt to integrate machine and vehicle scheduling with an objective to mini...

Scheduling of flexible manufacturing systems is one of problems in NP-Hard optimization. The aim of scheduling of these systems is to maximize the system efficiency by finding an optimal planning for a better cooperation among various processes. In recent years many algorithms proposed to solve this problem, and most of them are based on heuristic methods. In This paper we have proposed a new a...

The main purpose of this study is to analyze and evaluate dimensions of Advanced Manufacturing Systems (AMS) using SWARA and COPRAS_G Integration in the automotive industry. First, according to the research literature and 5 automotive industry experts’ opinion, six criteria include flexibility, productivity, inventory, operating cost, responsibility and reconfiguration indicated and weighted by...

In practical manufacturing settings it is often possible to obtain, in real-time, information about the operation of several machines in a flexible manufacturing system (FMS) that can be quite useful in scheduling part flows. In this brief paper the authors introduce some scheduling policies that can effectively utilize such information (something the policies in [1] do not do) and they provide...

Product form queueing networks (PFQN) and generalized stochastic Petri nets (GSPN) have emerged as the principal performance modelling tools for flexible manufacturing systems (FMS). In this paper, we present integrated PFQN-GSPN models, which combine the computational efficiency of PFQN and representational power of GSPN by employing the principle of flow-equivalence. We show that FMS that inc...

A scheme for the scheduling of Flexible Manufacturing Systems (FMS) has been developed which integrates neural networks, parallel Monte-Carlo simulation, genetic algorithms. and machine learning. Modular neural networks are used to generate a small set of atlractive plans and schedules from a larger list of such plans and schedules. Parallel Monte-Carlo Simulation predicts rhe impact of each on...

OF THE PHD THESIS Researches on the design and management of manufacturing systems Ciprian CRISTEA Technical University of Cluj-Napoca, Romania The PhD thesis is being structured on seven chapters. Each one of them begins with a set of objectives and it ends with the conclusions. Chapter 1 makes an introduction in the problem of manufacturing and contains an evolution of the manufacturing conce...

OBJECTIVE To examine impressions of public healthcare providers/professionals (PHCPs) who are working closely with family medicine specialists (FMSs) at public health clinics. DESIGN Cross-sectional study. SETTING This study is part of a larger national study on the perception of Malaysian public healthcare professionals on FMSs (PERMFAMS). PARTICIPANTS PHCPs from three categories of heal...

this article addresses a single row facility layout problem where the objective is to optimize the arrangement of some rectangular facilities with different dimensions on a line. regarding the np-hard nature of the considered problem, a hybrid meta-heuristic algorithm based on simulated annealing has been proposed to obtain a near optimal solution. a number of test problems are randomly generat...