scheduling of production in flexible manufacturing systems (fmss) has been extensively investigated over the past years and it continues to attract the interest of both academic researchers and practitioners. the generation of new and modified production schedules is becoming a necessity in today’s complex manufacturing environment. genetic algorithms are used in this paper to obtain an initial...

The paper discusses and illustrates by examples the role of Petri net (PN) models in the analysis and design of flexible manufacturing systems (FMSs). Qualitative techniques use untimed PN models in developing control strategies that ensure good behavioral properties of FMSs. Timed PN models serve for a refined approach where quantitative information is incorporated in the model. The case study...

Scheduling of production in Flexible Manufacturing Systems (FMSs) has been extensively investigated over the past years and it continues to attract the interest of both academic researchers and practitioners. The generation of new and modified production schedules is becoming a necessity in today’s complex manufacturing environment. Genetic algorithms are used in this paper to obtain an initial...

In the fierce global competition, cost, quality and customer satisfaction appears to be utmost significant. Flexible manufacturing systems (FMS) have a great potential in manufacturing both cost effective and customer based products. These systems bring us flexibility, but this flexibility accompanies cost and time. Thus, selecting suitable FMS necessitates excessive attention. The problem of F...

In the past few years two research groups of Politecnico di Milano, whose activities were centered on Formal Methods for the production of critical software and on industrial manufacturing systems, respectively, have carried out a joint research project that, among other things, aimed at introducing the use of formal methods in the design and analysis phases of industrial production systems (an...

The evaluation of flexible manufacturing system(FMS) is regarded as a multiple attribute group decisionmaking problem and has a critical impact on the improvement of manufacturing system competitiveness. Therefore, an effective group decision-making model using fuzzy-TOPSIS method is developed for the evaluation of alternative FMSs where the information available is subjective and imprecise. In...

In this paper, a novel approach using an efficient multi-objective genetic algorithm EMOGA is proposed to solve the problems of production planning of flexible manufacturing systems (FMSs) having four objectives: minimizing total flow time, machine workload unbalance, greatest machine workload and total tool cost. EMOGA makes use of Pareto dominance relationship to solve the problems without us...

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 jobs...

Nowadays most of manufacturing firms in accordance with continuous changes in the market and the today’s competitiveness world are competing for meeting demand, increasing quality and decreasing costs. For reaching these goals, it is necessary to select a suitable flexible manufacturing system (FMS) for the most of manufactures. The aim of this paper is applying a method for evaluating the flex...

Currently, the conventional manufacturing systems, such as the Flexible Manufacturing Systems (FMSs) are unable to adapt to the complexity and dynamic of the manufacturing environment. These systems activate the automatic operations by using the pre-instructed programs and should be stopped to re-program and re-plan in case of changes of the manufacturing environment, which reduce the flexibili...