نتایج جستجو برای: flexible manufacturing systems
تعداد نتایج: 1340818 فیلتر نتایج به سال:
Many of industries are going to stand in the market in front of their competitor with a lot of industrial growth and good quality of product. But in this race they don’t think about the flexibility in customer relation or satisfaction as well as operational flexibility. Lean manufacturing provide the use of everything for industrial growth and Flexible manufacturing system gives the direction w...
The concept of flexible manufacturing is highly appealing in gaining a competitive edge in the market by quickly adapting to the changing customer needs. Scheduling jobs on flexible manufacturing systems (FMSs) is a challenging task of managing the available flexibility on the shop floor to react to the dynamics of the environment in real-time. In this paper, an agent-oriented scheduling framew...
There is an increasing importance of different productive architectures related to worker involvement in the decision making, where is given due attention to the intuitive capabilities and the human knowledge in the optimization and flexibilization of manufacturing processes. Thus having reference point architecture of a flexible manufacturing and assembling system existent at UNINOVA-CRI, we w...
some researches made in the field of agency problem issue, deal with the role of control systems regarding owners and managers. in this research the relationship between the two control mechanisms, namely the voluntary disclosure (external control mechanism) and outside directors (internal control mechanism), which are reductive of agency problems, has been studied. for this reason, a sample ...
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...
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