نتایج جستجو برای: Flexible manufacturing systems (FMSs)
تعداد نتایج: 1340861 فیلتر نتایج به سال:
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 jobsho...
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 jobsho...
This paper describes a novel fitness inheritance evolutionary algorithm for solving bi-criteria flexible process sequencing problems in flexible manufacturing systems (FMSs). FMS can be described as an integrated manufacturing system consisting of machines, computers, robots, and automated guided vehicles (AGVs). While FMSs give great advantages through the flexibility, FMSs pose complex proble...
This paper describes multi-objective evolutionary optimization of process planning in flexible manufacturing systems (FMSs). FMS can be described as an integrated manufacturing system consisting of machines, computers, robots, and automated guided vehicles (AGVs). While FMSs give great advantages through the flexibility, FMSs pose complex problems on multi-objective process planning. An evoluti...
This paper describes multi-objective evolutionary optimization of process planning in flexible manufacturing systems (FMSs). FMS can be described as an integrated manufacturing system consisting of machines, computers, robots, and automated guided vehicles (AGVs). While FMSs give great advantages through the flexibility, FMSs pose complex problems on multi-objective process planning. An evoluti...
To better understand future needs in manufacturing and their enabling technologies, a survey of experts in manufacturing has been conducted. The survey instrument (i.e., questionnaire) tries to assess the experience to date with the use of flexible manufacturing systems (FMS) and to examine the potential roles and enabling technologies for reconfigurable manufacturing systems (RMS). The results...
Flexible manufacturing systems (FMSs) are advanced and highly integrated manufacturing systems consisting of robots, machining cells, and automated guided vehicles (AGVs) that function under the hierarchical control of computers. The relations between its components are very complex. Scheduling in FMS is an intricate phenomenon owing to the large variability in the operating parameters. Schedul...
The aim of this survey is to introduce Computer science/Petri nets specialists to the basic system level issues brought up by the development of Flexible Manufacturing and how Petri nets are used to aid the production engineers in their work. After some terminology concerning production engineering, the hierarchical decision and control level is briefly reviewed. Finally, the role and the prese...
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...
Flexible manufacturing systems (FMSs) are nowadays installed in the mechanical industry. In such systems. many different part types are produced simultaneously and it is necessary to take tooling constraints into account for finding an optimal schedule. A heuristic method is presented for solving the m-machine, n-job shop scheduling problem with tooling constraints. This method. named TOMATO, i...
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