نتایج جستجو برای: flexible manufacturing system fms
تعداد نتایج: 2375299 فیلتر نتایج به سال:
Nowadays, flexible manufacturing system (FMS) is introduced as a response to the competitive environment. Scheduling of FMS is more complex and more difficult than the other scheduling production systems. One of the main factors in scheduling of FMS is variable time of taking orders from customers, which leads to a sudden change in the manufacturing process. Also, some problems are created in p...
this paper deals with the problem of forbidden states in discrete event systems modeled by petri net. to avoid the forbidden states, some constraints which are called generalized mutual exclusion constraints can be assigned to them. enforcing these constraints on the system can be performed using control places. however, when the number of these constraints is large, a large number of control p...
Nowadays Business intelligence (BI) tools provide optimal decision making, analyzing, controlling and monitoring of operations in enterprise systems like enterprise resource planning (ERP) and mainly refer to strong decision making methods used in online analytical processing, reporting and data analysis, such as improve internal processes, analysis of resources, information needs analysis, red...
In recent years, flexible manufacturing system as a response to market demands has been proposed to increase product diversity, optimum utilization of machines andperiods of short-term products.The development of computer systems has provided the ability to build machines with high functionality and the necessary flexibility to perform various operations. However, due to the complexity and the ...
This paper deals with modeling of flexible manufacturing systems (FMS) under uncertainties and evaluation of multi criteria decision making approach for online scheduling. To represent uncertain events in FMS, such as failure of machine tools, repair time, and processing time, we develop Stochastic Petri nets for constructing the FMS model. For obtaining an online real-time efficient schedule o...
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 today’s very competitive, dynamic and unpredictable manufacturing environments it is critical to improve manufacturing performance in order to be able to compete. Flexibility becomes an important characteristic of manufacturing systems and organizations; thus the flexible manufacturing systems (FMS’s) are becoming popular in today’s scenario. A flexible manufacturing system (FMS) incorporate...
The task of scheduling in flexible manufacturing systems (FMS) is more complex and problematic than a traditional manufacturing systems. To accomplish great performance for FMS, a good scheduling system should make an accurate decision at an accurate time according to system situations. Fuzzy logic methodologies easily deal with indeterminate and incomplete information. Human expert‟s knowledge...
Nowadays the market for industrial companies is becoming more and more globalized and highly competitive, forcing them to shorten the duration of the manufacturing system development time in order to reduce the time to market. In order to achieve this target, the hierarchical systems used in previous manufacturing systems are not enough because they cannot deal effectively with unexpected situa...
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