The increased use of FMS to provide customers with diversified products efficiently has created a significant set of operational challenges for managers. This technology presents a number of decision problems to be solved by researchers and practitioners. There have been a number of attempts to solve design and operational problems in FMS. A special attention has been given to batch scheduling ...

This paper focus on the problem of simultaneous scheduling of machine and automated guided vehicle (AGV) in a flexible manufacturing system (FMS) so as to minimize the makespan The FMS scheduling problem has been tackled by various traditional optimization techniques. While these methods can give an optimal solution to small-scale problems, different scheduling mechanisms are designed to genera...

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 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...

This paper deals with scheduling problems of the Flexible manufacturing systems (FMS). The objective is to improve the utilization of FMS. Lot Streaming (LS) is used to meet this objective. In this paper a comparative study is performed between the applications of new methods: Brute Force method (BFM) and Joinable Schedule Approach (JSA). Case studies for Flow Shop Systems (FSS) are performed. ...

Competitiveness and rapid expansion of flexible manufacturing system (FMS), as one of the industrial alternatives, has attracted the attention of many practitioners and academicians. Globalization has further encouraged FMS development into distributed, self-reliant units of production center. Flexible manufacturing system in distributed system (FMSDS) considers multi-factory environments, wher...

Flexible Manufacturing System (FMS), which is equipped with several CNC machines and Automated Guided Vehicle (AGV) based material handling system is designed and implemented to gain the flexibility and efficiency of production. After the implementation of FMS, in practice, the scheduling of the resources, such as frequent variation in the parts, tools, AGV routings, becomes a complex task. Thi...

The static and analytic scheduling approach is very difficult to follow and is not always applicable in real-time. Most of the scheduling algorithms are designed to be established in offline environment. However, we are challenged with three characteristics in real cases: First, problem data of jobs are not known in advance. Second, most of the shop’s parameters tend to be stochastic. Third, th...

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...

An FMS is a manufacturing system in which groups of numerically controlled machines and a material handling system work together under computer control. Scheduling is a decision making process to determine when a job is to be started in a machine and when it is to be completed. A carefully designed and efficiently managed material handling system plays an important role in planning and operatio...